Alternatives to SpectX

Coralogix is the most popular stateful streaming platform, providing engineering teams with real-time insight and long-term trend analysis without relying on storage or indexing. To manage, monitor, alert, and manage your applications, you can import data from any source. Coralogix automatically narrows the data from millions of events to common patterns, allowing for faster troubleshooting and deeper insights. Machine learning algorithms constantly monitor data patterns and flows among system components and trigger dynamic alarms to let you know when a pattern is out of the norm without the need for static thresholds or pre-configurations. Connect any data in any format and view your insights anywhere, including our purpose-built UI and Kibana, Grafana as well as SQL clients and Tableau. You can also use our CLI and full API support. Coralogix has successfully completed the relevant privacy and security compliances by BDO, including SOC 2, PCI and GDPR.

Bugfender serves as a remote logger, crash reporting tool, and platform for in-app user feedback specifically designed for application developers. It captures every action within the app, even in instances where it doesn’t crash, allowing developers to replicate and address issues more efficiently, thus enhancing customer support. With a strong emphasis on user privacy, Bugfender operates efficiently in terms of battery and network usage, maintaining logging capabilities even when the device is offline. This tool empowers developers to identify and rectify bugs before users become aware of them. By logging bugs across all devices and delivering the results in mere seconds, Bugfender allows for prompt fixes, ensuring that users never encounter an error message. This proactive approach helps in achieving 5-Star Ratings. Beyond merely tracking crashes and bugs, Bugfender gathers comprehensive data essential for creating a detailed understanding of user behavior, which is vital for obtaining those coveted five-star ratings. Additionally, it facilitates exceptional customer service by enabling developers to focus on individual users, thereby offering tailored support to enhance user satisfaction and loyalty. Ultimately, Bugfender transforms the way developers interact with their applications and users, fostering a more resilient and user-friendly product.

SiteSpect is the most popular A/B testing platform and personalization platform. It allows growing businesses to test changes to websites, mobile experiences, and other digital properties. SiteSpect allows you to test and personalize across all aspects of the customer experience, from client-side design to server-side functionality. This will engage your website visitors with the right experience every time. SiteSpect is the most powerful, complete, and easy solution to personalizing and optimizing your customers' experiences. SiteSpect provides unparalleled site performance, scalability and data integrity, security, as well as the ability to optimize every aspect of the customer experience.

Mirada XD offers an all-encompassing solution for PET/CT, PET/MR, nuclear medicine, and image fusion, featuring advanced deformable registration and precise quantification capabilities. Users can effortlessly load an unlimited number of multi-time point follow-up studies, including gated (4D) CT and PET data, as well as various MR sequences and multi-phase CT images for thorough examination. Notably, it allows for real-time switching between MR sequences and gates even within a fused view, enhancing the efficiency of the reading process. Furthermore, Mirada XD accommodates an unlimited number of SPECT and SPECT/CT studies by enabling the fusion of data from stand-alone NM SPECT scanners with diagnostic CT, thus reducing the necessity for costly SPECT/CT equipment. This functionality not only streamlines workflows but also significantly cuts costs associated with imaging technology.

NeuroQ stands out as a premier software for brain imaging analysis, delivering a robust diagnostic resource applicable across various modalities and clinical scenarios. This comprehensive tool supports an array of imaging techniques, including FDG, Amyloid, SPECT, DaTscan, and Epilepsy, thereby enhancing diagnostic precision in differentiating between various conditions. As one of the most prevalent quantitative instruments utilized in the differential diagnosis of dementia, NeuroQ transcends simple visual evaluations by offering crucial, objective diagnostic insights. It efficiently assesses metabolic levels across over 240 predefined brain regions, contrasting them with a normative database to quantify the extent of abnormalities and their statistical significance. Designed to assist in the evaluation of human brain scans, NeuroQ meticulously quantifies mean pixel values within standardized areas of interest and allows for detailed comparisons with other brain images, ultimately contributing to better patient outcomes. This innovative software is essential for clinicians seeking reliable data to inform their diagnostic processes and treatment decisions.

ProSpect is a cost-effective digital vehicle inspection app that integrates smoothly with your Manager SE shop management system. This mobile inspection tool enhances Manager SE by enabling users to greet customers directly at their vehicles, initiate inspections, and securely store the data for future use. As an add-on to the Manager SE system, ProSpect allows for unlimited connections with mobile devices without incurring any set-up fees. This could be the ideal digital vehicle inspection solution you've been looking for to elevate your shop's efficiency and enhance customer satisfaction. With ProSpect, service writers and technicians can easily welcome customers, check in vehicles, and perform mobile inspections using their phones or tablets right at the vehicle upon arrival, streamlining the entire process. Its user-friendly interface and flexibility make it a valuable asset for any automotive service provider aiming to improve their workflow and customer interaction.

CLS is packed with a multitude of features such as real-time log collection, structured logging, dependable storage, fast search capabilities, multidimensional analysis, and scheduled log shipping. Additionally, it offers a comprehensive API and user-friendly console for efficient log management. The platform is built on a scalable, distributed architecture that is incredibly flexible, enabling it to handle large volumes of logs simultaneously. This means users can effortlessly process hundreds of millions of log files daily without the typical challenges related to resource allocation. Logs are captured instantaneously, allowing for immediate searching and analysis as they are ingested into CLS. With its robust query engine, the service can sift through hundreds of millions of files in under a second, facilitating the examination and processing of substantial amounts of log data. CLS supports various log aggregation methods, including the LogListener agent, API, and SDK, which streamline the collection and centralized management of logs. Furthermore, the initial setup can be accomplished in as little as five minutes, making it an attractive option for organizations seeking quick deployment. Overall, CLS provides a comprehensive solution for organizations that require efficient log management and analysis.

LogFusion is an advanced real-time log monitoring tool that caters to the needs of system administrators and developers alike! It offers features like personalized highlighting rules and filtering options, allowing users to customize their experience. Additionally, users can synchronize their LogFusion preferences across multiple devices. The application's robust custom highlighting enables the identification of specific text strings or regex patterns, applying tailored formatting to the relevant log entries. With LogFusion's sophisticated text filtering capability, users can seamlessly filter out and conceal lines that do not correspond with their search criteria, all while new entries are continuously added. The platform supports intricate queries, making it straightforward to refine your search results. Moreover, LogFusion can automatically detect and incorporate new logs from designated Watched Folders; simply choose the folders you want to monitor, and LogFusion takes care of opening any new log files generated in those locations. This ensures that users remain up-to-date with the latest log data effortlessly.

OpenText™ Security Log Analytics offers a powerful and scalable security operations stack designed to improve log management, threat hunting, and compliance efforts across organizations. Its intuitive natural language-like interface allows analysts to perform fast, hypothesis-driven queries without needing complex syntax, reducing the time and effort to identify threats. The platform is built on a columnar database that ensures data immutability, safeguarding log integrity against unauthorized changes. Security teams benefit from automated workflows that minimize exposure time by handling tedious remediation tasks quickly and efficiently. With support for ingesting and normalizing data from more than 480 sources, it provides comprehensive visibility across diverse security environments. Compliance is simplified through automated and customizable reports tailored for regulatory requirements including GDPR, PCI, and FIPS 140-2. The solution is designed to scale effortlessly, allowing organizations to expand their infrastructure by adding nodes as needed. OpenText also offers flexible deployment options, including on-premises and managed services, to fit various operational needs.

Utilizing log services is essential, yet your teams desire insights at the cluster level. Enhance efficiency and obtain more profound insights with IBM® Log Analysis service, which offers seamless integration with numerous cloud-native runtimes and environments. Experience features such as log collection, log tailing, and rapid log searches. Benefit from natural language queries and a search retention period of up to 30 days. You can set up cluster-level logging for Kubernetes clusters, providing access to logs for various types, including worker, pod, application, and network logs. This data can be monitored from diverse sources, allowing for centralized management of Ubuntu logs on IBM Cloud®. DevOps teams have the capability to archive logs from an IBM Log Analysis instance directly into a bucket within an IBM Cloud Object Storage instance. By aggregating all log data in one central location, you can anticipate compatibility with services like Pager Duty, Slack, webhooks, and many others. The service supports over 30 integrations and ingestion sources, while also offering features like natural language queries and a pay-per-GB pricing model. This comprehensive approach not only simplifies log management but also empowers teams to gain actionable insights quickly.

You can instantly centralize, monitor, analyze, and report logs from any platform at any volume. Log aggregation, custom-parsing, smart alarming, role-based access controls, real time search, graphs and log analysis are all seamlessly integrated in this suite of tools. Our cloud-based SaaS solution is ready in just two minutes. It collects logs from AWS and Docker, Heroku, Elastic, and other sources. Running Kubernetes? Log in to two kubectl commands. Simple, pay per GB pricing without paywalls or overage charges. Fixed data buckets are also available. Pay only for the data that you use on a monthly basis. We are Privacy Shield certified and comply with HIPAA, GDPR, PCI and SOC2. Your logs will be protected in transit and storage with our military-grade encryption. Developers are empowered with modernized, user-friendly features and natural search queries. We save you time and money with no special training.

Efficient, large-scale log management and analysis in real time. Securely store, search, analyze, and receive alerts for all your log data and events effortlessly. Ingest custom logs from any origin. This is a fully managed service capable of handling exabyte-scale application and infrastructure logs. Experience real-time analysis of your log data. It is compatible with Google Cloud services and seamlessly integrates with Cloud Monitoring, Error Reporting, and Cloud Trace, enabling you to swiftly diagnose issues throughout your applications and infrastructure. With ingestion latency measured in sub-seconds and an impressive ingestion rate of terabytes per second, you can safely accumulate all logs from various sources without any management burden. Enhance your capabilities by merging Cloud Logging with BigQuery for in-depth analysis, and utilize log-based metrics to create real-time dashboards in Cloud Monitoring. Additionally, this comprehensive management solution simplifies the process of maintaining data integrity while optimizing system performance.

Capture all logs and respond to inquiries in real-time with cutting-edge log management that includes streaming observability and cost-effective Unlimited Plans. Humio is designed to quickly ingest and preserve streaming data as it arrives, no matter the quantity. Alerts, scripts, and dashboards reflect updates instantly, while both live tail and searches of retained data experience nearly zero latency. With an index-free architecture, Humio accommodates any format, whether structured or unstructured. Users can formulate any question regarding live or archived data without the need to define fields in advance, ensuring rapid response times. Humio’s pricing is competitive, featuring top-tier Unlimited Plans that cater to various needs. Its sophisticated compression techniques and bucket storage approach can reduce compute and storage expenses by up to 70%. Moreover, Humio can be deployed in just a few minutes and requires minimal upkeep. By ingesting unlimited data at any throughput, Humio ensures you have access to the complete dataset necessary for timely incident detection and response, making it a robust solution for modern data management. Its user-friendly interface and efficient architecture position it as a leader in the log management space.

Nagios Log Server greatly simplifies the process for searching log data. You can set up alerts to be notified when possible threats are detected, or query your log data to quickly inspect any system. Nagios Log Server allows you to store all your log data in one place, with fail-over and high availability built in. You can quickly configure your servers to send log data using the easy source setup wizards. Then, you can start monitoring your logs within minutes. In just a few clicks, you can easily correlate log events across all servers. Nagios Log Server allows for you to see log data in real time, allowing you to quickly analyze and resolve problems as they arise. This ensures that your organization is safe, secure, streamlined, and runs smoothly. Nagios Log Server gives users advanced awareness of their infrastructure. Deep dive into logs, network events, and security events. Log Server can provide the evidence you need to track down security threats and quickly fix vulnerabilities using built-in alerts.

DataSet offers dynamic, searchable real-time insights that can be stored indefinitely, either through DataSet-hosted solutions or customer-managed, cost-effective S3 storage options. It enables the rapid ingestion of structured, semi-structured, and unstructured data, creating an unlimited enterprise framework for live data queries, analytics, insights, and retention without adhering to rigid data schema requirements. This technology is favored by engineering, DevOps, IT, and security teams seeking to harness the full potential of their data. With sub-second query performance driven by a patented parallel processing architecture, users can operate more efficiently and effectively to enhance business decision-making processes. It can effortlessly handle hundreds of terabytes of data without the need for rebalancing nodes, storage management, or resource reallocation. The platform scales flexibly and limitlessly, while its cloud-native architecture enhances efficiency, reducing costs and maximizing output. Users benefit from a predictable cost structure that delivers unparalleled performance, ensuring that businesses can thrive in a data-driven landscape. Additionally, the ease of use and robust capabilities of the system empower organizations to focus on innovation rather than data management challenges.

Elevate your log management with Honeycomb, a platform designed specifically for contemporary development teams aiming to gain insights into application performance while enhancing log management capabilities. With Honeycomb’s rapid query functionality, you can uncover hidden issues across your system’s logs, metrics, and traces, utilizing interactive charts that provide an in-depth analysis of raw data that boasts high cardinality. You can set up Service Level Objectives (SLOs) that reflect user priorities, which helps in reducing unnecessary alerts and allows you to focus on what truly matters. By minimizing on-call responsibilities and speeding up code deployment, you can ensure customer satisfaction remains high. Identify the root causes of performance issues, optimize your code efficiently, and view your production environment in high resolution. Our SLOs will alert you when customers experience difficulties, enabling you to swiftly investigate the underlying problems—all from a single interface. Additionally, the Query Builder empowers you to dissect your data effortlessly, allowing you to visualize behavioral trends for both individual users and services, organized by various dimensions for enhanced analytical insights. This comprehensive approach ensures that your team can respond proactively to performance challenges while refining the overall user experience.

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

LogMX is a user-friendly, cross-platform application designed for developers and system administrators who need to analyze log files effectively. With its robust graphical interface, LogMX can parse, visualize, and monitor logs from any origin effortlessly. This tool significantly reduces the time and energy spent on log analysis, eliminating the necessity of multiple tools when dealing with various log formats. Rather than simply reading log files, LogMX intelligently processes log events from any document or data stream, presenting a well-organized view of your logs. There’s no requirement for a web server installation or updates to your log generators, as LogMX operates as a standalone application with a compact size of approximately 8 MB, yet it offers extensive functionality. By utilizing LogMX, you can swiftly identify events within your logs, apply filters, monitor logs in real-time, perform time calculations, and view a consolidated perspective of several intertwined logs, among other features. Furthermore, its impressive capabilities will likely make you reluctant to handle log files without this tool ever again!

Swiftly eliminate threats through immediate detection and lightning-fast search capabilities while minimizing logging expenses. Accelerate your threat detection efforts by analyzing incoming data in less than a second. Identify suspicious behaviors significantly faster than conventional security logging solutions allow. Utilizing a robust, index-free architecture enables you to log all data and keep it for years without facing ingestion delays. This approach allows for the collection of more data for investigations and threat hunting, scaling to over 1 PB of data ingestion daily with minimal impact on performance. Falcon LogScale enhances your searching, hunting, and troubleshooting capabilities through a user-friendly, powerful query language. Explore deeper insights with filtering, aggregation, and regex support to enrich your analysis. Effortlessly execute free-text searches across all events. Both live and historical dashboards empower users to swiftly prioritize threats, observe trends, and address issues. Furthermore, users can seamlessly navigate from visual charts to detailed search results for deeper insights. This holistic approach ensures a comprehensive understanding of your security landscape.

Dash0 serves as a comprehensive observability platform rooted in OpenTelemetry, amalgamating metrics, logs, traces, and resources into a single, user-friendly interface that facilitates swift and context-aware monitoring while avoiding vendor lock-in. It consolidates metrics from Prometheus and OpenTelemetry, offering robust filtering options for high-cardinality attributes, alongside heatmap drilldowns and intricate trace visualizations to help identify errors and bottlenecks immediately. Users can take advantage of fully customizable dashboards powered by Perses, featuring code-based configuration and the ability to import from Grafana, in addition to smooth integration with pre-established alerts, checks, and PromQL queries. The platform's AI-driven tools, including Log AI for automated severity inference and pattern extraction, enhance telemetry data seamlessly, allowing users to benefit from sophisticated analytics without noticing the underlying AI processes. These artificial intelligence features facilitate log classification, grouping, inferred severity tagging, and efficient triage workflows using the SIFT framework, ultimately improving the overall monitoring experience. Additionally, Dash0 empowers teams to respond proactively to system issues, ensuring optimal performance and reliability across their applications.

LOGalyze serves as a powerful open-source solution for centralized log management and network monitoring. If you aim to consolidate all your log data in one location, LOGalyze is an excellent option. It is compatible with Linux/Unix servers, network devices, and Windows hosts. Offering real-time event detection along with comprehensive search functions, this application enables you to gather log data from various devices, analyze, normalize, and parse it using custom Log Definitions. You can also take advantage of the existing Statistics and Report Definitions, or create your own to suit your needs. By correlating any log data, you have the ability to define specific Events and Alerts. Furthermore, its ticketing system acts as a robust tool for resolving open incidents more efficiently. LOGalyze not only aids in reducing internal expenses but also enhances network uptime, boosts efficiency, and helps eliminate unnecessary network traffic. Additionally, the integrated scheduled Reports provide a holistic view of your entire network's performance. This comprehensive approach ensures that you can maintain optimal network health and responsiveness.

Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.

Say goodbye to unexpected logging fees by collecting data over the years and querying it in mere seconds. Traditional log management solutions can lead to soaring costs quickly. To implement long-term event analytics, you typically need to export data to a CSV file and establish a separate data pipeline to funnel events into a customized data warehouse. However, with Logflare and BigQuery, you can bypass the setup complexity for long-term analytics. You can immediately ingest data, execute queries in seconds, and retain information for years. Utilize our Cloudflare app to capture every request made to your web service seamlessly. Our Cloudflare App worker does not alter your requests; instead, it efficiently extracts request and response data, logging it to Logflare without delay after processing your request. Interested in keeping tabs on your Elixir application? Our library is designed to minimize overhead, as we group logs together and utilize BERT binary serialization to reduce both payload size and serialization load effectively. Once you log in with your Google account, we grant you direct access to your underlying BigQuery table, enhancing your analytic capabilities further. This streamlined approach ensures you can focus on developing your applications without worrying about the intricacies of logging management.

Say goodbye to intricate log management setups and effortlessly retrieve log information from Docker containers, Kubernetes, and remote log files via SSH. With Retrospective, tedious search and monitoring tasks are transformed into a matter of mere minutes, utilizing just your laptop without the need for log collector agents or additional software. This tool allows you to efficiently search and oversee extensive collections of log files from both local and remote origins, ensuring that your servers remain unburdened. You can navigate your files through Retrospective’s sophisticated features to delve into your search and monitoring outcomes. Keep an eye on container log data while easily identifying points of interest within your local container logs using the intuitive search criteria composer. Furthermore, Retrospective provides a consolidated view of your entire setup, accommodating multiple containers operating simultaneously within your Docker environment. The organized data can also be exported in various formats for compatibility with other analytical tools, making it a versatile asset for log management. This streamlined approach not only saves time but also enhances your overall operational efficiency.

Oracle Big Data Service simplifies the deployment of Hadoop clusters for customers, offering a range of VM configurations from 1 OCPU up to dedicated bare metal setups. Users can select between high-performance NVMe storage or more budget-friendly block storage options, and have the flexibility to adjust the size of their clusters as needed. They can swiftly establish Hadoop-based data lakes that either complement or enhance existing data warehouses, ensuring that all data is both easily accessible and efficiently managed. Additionally, the platform allows for querying, visualizing, and transforming data, enabling data scientists to develop machine learning models through an integrated notebook that supports R, Python, and SQL. Furthermore, this service provides the capability to transition customer-managed Hadoop clusters into a fully-managed cloud solution, which lowers management expenses and optimizes resource use, ultimately streamlining operations for organizations of all sizes. By doing so, businesses can focus more on deriving insights from their data rather than on the complexities of cluster management.

Open source is a passion for engineers. We supercharged the top open-source monitoring tools, including Jaeger, Prometheus and ELK, and combined them into a scalable SaaS platform. You can collect and analyze all your logs, metrics, traces and other data on one platform for end to end monitoring. You can visualize your data using customizable and easy-to-use monitoring dashboards. Logz.io's AI/ML human-coach automatically detects and corrects any errors or exceptions in your logs. Alerting to Slack and PagerDuty, Gmail and other endpoints allows you to quickly respond to new events. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs, traces. Just three lines of code are required to add to your Prometheus config file to start forwarding your metrics and data to Logz.io.

LogGRIFFIN offers a robust solution for unified log management, designed to handle extensive data analysis efficiently. This tool ensures immediate collection of logs, safeguarding against any alterations or falsifications from various diverse networks and servers, while also providing analysis of these logs to aid in incident management, audit tracking, and compliance with legal requirements. It allows for the adjustment of log-collecting agents' speed based on the CPU workload of the servers collecting the logs. Additionally, it facilitates secure encrypted communication between the log-collecting agents and servers. The platform is equipped to manage big data processing through a distributed search engine, and it enables the definition of new log format properties along with the capability to analyze them. Users can also perform custom correlation analysis on non-conforming logs utilizing dynamic analytic chains, allowing for real-time detection and evaluation of correlations. Furthermore, the system's adaptability ensures it can evolve with changing requirements, making it a versatile tool for organizations.

Apache Trafodion serves as a webscale SQL-on-Hadoop solution that facilitates transactional or operational processes within the Apache Hadoop ecosystem. By leveraging the inherent scalability, elasticity, and flexibility of Hadoop, Trafodion enhances its capabilities to ensure transactional integrity, which opens the door for a new wave of big data applications to operate seamlessly on Hadoop. The platform supports the full ANSI SQL language, allowing for JDBC/ODBC connectivity suitable for both Linux and Windows clients. It provides distributed ACID transaction protection that spans multiple statements, tables, and rows, all while delivering performance enhancements specifically designed for OLTP workloads through both compile-time and run-time optimizations. Trafodion is also equipped with a parallel-aware query optimizer that efficiently handles large datasets, enabling developers to utilize their existing SQL knowledge and boost productivity. Furthermore, its distributed ACID transactions maintain data consistency across various rows and tables, making it interoperable with a wide range of existing tools and applications. This solution is neutral to both Hadoop and Linux distributions, providing a straightforward integration path into any existing Hadoop infrastructure. Thus, Apache Trafodion not only enhances the power of Hadoop but also simplifies the development process for users.

SolarWinds®, Loggly®, is a cost-effective, hosted and scalable multi-source log management system that combines powerful search and analytics with extensive alerting, dashboarding and reporting to help you identify potential problems and reduce Mean Time to Fix (MTTR). LOGGLY AT A GLANCE >> Full-stack log aggregation, log monitoring and data analytics Log analytics provides context and patterns for events, as well as anomalies that can be used to gain deeper insights. >> Highly scalable to ingest large data volumes and enable quick searching across large and complicated environments >> Spot usage patterns with application, service, and infrastructure-aligned historical analysis of user, log, and infrastructure data >> Manage by exception: Identify variations from the norm with powerful log formatting capabilities and analytic search capabilities

VictoriaLogs is an open-source log-database from VictoriaMetrics that has been designed to be easy-to-use. It integrates seamlessly with popular log collectors, and offers a simpler setup process than Elasticsearch or Grafana Loki. LogsQL's robust query language allows for full-text searches across all log fields. This simplifies log management. It scales well with CPU, RAM and disk IO. It runs efficiently on Raspberry Pis and high-end servers. It can handle data volumes up 30 times greater than Elasticsearch or Grafana Loki, on the same hardware. This makes it a powerful option for various environments. VictoriaLogs supports full-text searches over log fields with high-cardinality like trace_id and IP. It integrates seamlessly with Unix log analysis programs like grep and less. It offers multi-tenancy, which can accommodate a variety of needs.

R2 SQL is a serverless analytics query engine developed by Cloudflare, currently in its open beta phase, that allows users to execute SQL queries on Apache Iceberg tables stored within the R2 Data Catalog without the hassle of managing compute clusters. It is designed to handle vast amounts of data efficiently, utilizing techniques such as metadata pruning, partition-level statistics, and filtering at both the file and row-group levels, all while taking advantage of Cloudflare’s globally distributed compute resources to enhance parallel execution. The system operates by integrating seamlessly with R2 object storage and an Iceberg catalog layer, allowing for data ingestion via Cloudflare Pipelines into Iceberg tables, which can then be queried with ease and minimal overhead. Users can submit queries through the Wrangler CLI or an HTTP API, with access controlled by an API token that provides permissions across R2 SQL, Data Catalog, and storage. Notably, during the open beta period, there are no charges for using R2 SQL itself; costs are only incurred for storage and standard operations within R2. This approach greatly simplifies the analytics process for users, making it more accessible and efficient.

Gravwell is an all you can ingest data fusion platform that allows for complete context and root cause analysis for security and business data. Gravwell was created to provide machine data benefits to all customers, large or small, binary or text, security or operational. An analytics platform that can do things you've never seen before is possible when experienced hackers team up with big data experts. Gravwell provides security analytics that go beyond log data to industrial processes, vehicle fleets, IT infrastructure or all of it. Do you need to track down an access breach? Gravwell can run facial recognition machine-learning against camera data to identify multiple subjects who enter a facility with one badge-in. Gravwell can also correlate building access logs. We are here to help people who require more than text log searching and want it sooner than they can afford.

A Centralized Windows Event Log Management Software Tool for Enterprises. A Centralized Log Consolidator. A real-time Windows Event Log, Syslog, and Application Log Monitor software tool. A Log Analyzer Tool. A Windows Syslog Server. An Azure Active Directory Auditing Software Software Tool. Compliance Reporting Software for JSIG, NIST, CJIS PCI/DSS. HIPAA, SOX. GDPR, CIS Microsoft 365 Security & Compliance and more. 80+ pre-built reports. A Windows Event Log Viewer that is enhanced with advanced search and filtering capabilities. Windows Event Logs, Syslogs and text-based Application Logs on Windows, Linux and the cloud-based Azure Active Directory Audit Logs are supported. Log entries can be saved to a local or remote log repository once they have been harvested. Event Log Manager offers 5 methods to centralize log entries, including MySQL, Microsoft SQL Server and elasiticsearch.

The service compiles runtime information from various sources into a unified log group. You have the option to utilize existing log groups or establish new ones tailored for specific services and applications. Filtering entries can be accomplished through the use of queries. While engaging with Cloud Logging, you can employ logical operators, filter by specific parameters, or delve into searches within JSON parameters. Cloud Logging is designed to gather, process, and retain logs for a maximum of 31 days. Each log group has a dedicated and separate data storage space. Read and write access can be configured through the assignment of roles. Additionally, you can consolidate data from Cloud Logging alongside diagnostic details from other systems that interface with Grafana, all within a single dashboard for streamlined analysis. This integration not only enhances visibility but also simplifies monitoring across multiple platforms.

Streamline your operations and significantly reduce the manual effort and scripting costs by 90% with PortX, which automates the parsing and collection of logs from any type or source, including cloud data, applications, and services. PortX autonomously identifies, analyzes, and categorizes data sources, enabling seamless integration across various systems. XpoLog leverages PortX to deploy analytical applications that generate immediate insights, covering aspects such as security, performance, audits, errors, trends, and anomalies. Once log data is gathered, XpoLog efficiently identifies and correlates analytical applications to produce ready-to-use reports. With this system, gain real-time insights without delay, as XpoLog automatically discovers errors, exceptions, anomalies, and unique patterns while assessing risks. Additionally, explore XpoLog’s industry-leading marketplace, which features numerous pre-built analytical applications to enhance your data analysis capabilities. By utilizing these tools, organizations can maximize their efficiency and harness the full potential of their data resources.

Logtail allows you to query your logs in the same way as a database query. Logtail offers superior SQL-compatible log management at an unbelievable price. You can store your logs in a structured format, and then search them with SQL. Hosted Grafana allows you to create actionable dashboards. Collaborate with colleagues to archive log fragments and receive alerts about anomaly detection.

IBM Db2 Big SQL is a sophisticated hybrid SQL-on-Hadoop engine that facilitates secure and advanced data querying across a range of enterprise big data sources, such as Hadoop, object storage, and data warehouses. This enterprise-grade engine adheres to ANSI standards and provides massively parallel processing (MPP) capabilities, enhancing the efficiency of data queries. With Db2 Big SQL, users can execute a single database connection or query that spans diverse sources, including Hadoop HDFS, WebHDFS, relational databases, NoSQL databases, and object storage solutions. It offers numerous advantages, including low latency, high performance, robust data security, compatibility with SQL standards, and powerful federation features, enabling both ad hoc and complex queries. Currently, Db2 Big SQL is offered in two distinct variations: one that integrates seamlessly with Cloudera Data Platform and another as a cloud-native service on the IBM Cloud Pak® for Data platform. This versatility allows organizations to access and analyze data effectively, performing queries on both batch and real-time data across various sources, thus streamlining their data operations and decision-making processes. In essence, Db2 Big SQL provides a comprehensive solution for managing and querying extensive datasets in an increasingly complex data landscape.

You can quickly and easily examine machine data to identify the root cause of IT problems faster. Log aggregation, filtering, filtering, alerting, and tagging are all part of this intuitive and powerfully designed system. Integrated with Orion Platform products, it allows for a single view of IT infrastructure monitoring logs. Because we have experience as network and system engineers, we can help you solve your problems. Log data is generated by your infrastructure to provide performance insight. Log Analyzer log monitoring tools allow you to collect, consolidate, analyze, and combine thousands of Windows, syslog, traps and VMware events. This will enable you to do root-cause analysis. Basic matching is used to perform searches. You can perform searches using multiple search criteria. Filter your results to narrow down the results. Log monitoring software allows you to save, schedule, export, and export search results.

Next-gen log analysis, visualization, and collection for better troubleshooting, compliance management, and IT security. CruzLog is a suite of integrated tools that IT administrators and operators can use to collect, filter and analyze logs from network, server, and application servers for auditing, compliance, issue tracking, and compliance. CruzLog's extensive suite of IT resource management features, Cruz Operations Center (CruzOC), adds comprehensive log collection, data administration, and detailed visualization. They combine to provide a single console management tool for managing the network and datacenter operations of today's converging infrastructures. Cruz Operations Center (CruzOC), infrastructure administration for IT/IOT resources, is fully integrated. This allows for comprehensive and automated problem resolution through a single pane of glass. Log management allows you to store, analyze, visualize, and manage resource management data. This helps improve IT security and compliance.

Sysgem's Logfile Concentrator is an all-encompassing tool for Windows that consolidates log file data streams from various sources into a unified central repository. This solution gathers log information from diverse remote servers and endpoint devices, ensuring it is stored in a centralized database for both analysis and regulatory compliance purposes. Among its notable features are automated archiving and reporting capabilities, customizable record views, sophisticated querying options, an audit trail for tracking changes, and robust compliance management tools. Furthermore, it includes intelligent alerts and real-time notifications to keep users informed of critical events. The platform boasts a user-friendly interface that can be tailored for real-time monitoring, along with a full web browser interface that allows for convenient remote access. It also supports widely-used ODBC databases, including MS SQL, Oracle, and MS Access, enhancing its versatility. Additionally, Logfile Concentrator can operate independently or work in tandem with the Sysgem Enterprise Manager (SEM), making it a flexible choice for organizations looking to streamline their log management processes.

Kiwi Log Viewer presents log files in a user-friendly tabular format while offering a variety of search and filtering options to enhance usability. Capable of handling files up to 14TB, it ensures you can access and search all necessary logs without concern for their size. Additionally, it allows for real-time monitoring of changes in designated log files, making it easier to stay updated on developments. The software automatically highlights critical text and supports both sub-string matching and Perl-style regular expressions for detailed searches. With customizable highlighting rules, users can quickly identify the most important messages within logs. Furthermore, you can easily track specific keywords, phrases, or patterns throughout the log files. Kiwi Log Viewer organizes text-based log entries in a clear tabular format, and it offers the convenience of copying selected rows in a tab-delimited format or directly selecting and copying any portion of the row text. Its file tailing feature ensures that you can keep an eye on specified log files for updates, allowing you to see new data added in real-time, thereby improving your overall log management experience.

Enginsight is a comprehensive cybersecurity solution crafted in Germany, adept at unifying threat identification and protection measures. Incorporating automated security audits, penetration testing, IDS/IPS, micro-segmentation, vulnerability assessments, and risk analysis, Enginsight equips businesses across scales to seamlessly establish and supervise potent security approaches via a user-friendly dashboard. Automatically examine your systems to instantly discern the security posture of your IT assets. Entirely self-engineered with security by design principles, Enginsight operates independently of third-party tools. Continuously scour your IT landscape to detect devices, generating a real-time depiction of your IT framework. With automatic detection and endless inventory of IP network devices, including categorization, Enginsight serves as an all-encompassing monitor and security shield for your Windows and Linux servers, and endpoint devices such as PCs. Start your 15 day free trial now.

Grafana Loki is a free and open-source system designed for log aggregation, focusing on the efficient collection, storage, and querying of logs from diverse sources. Unlike conventional logging solutions, Loki is specifically tailored for cloud-native applications, making it ideal for modern environments like Kubernetes that utilize containerization. It integrates smoothly with Grafana, enabling users to visualize log data alongside metrics and traces, thereby creating a cohesive observability framework. By indexing only essential metadata, including labels and timestamps, Loki minimizes data storage needs while enhancing query efficiency compared to traditional log management systems. This streamlined method not only facilitates easier scalability but also ensures more economical storage solutions. Furthermore, Loki accommodates log aggregation from a variety of sources, such as Syslog, application logs, and container logs, and works in conjunction with other observability tools, offering a comprehensive insight into system performance. Users benefit from this integration, as it allows for real-time monitoring and troubleshooting, ultimately leading to improved operational efficiency.

Effectively addressing the intricate challenges posed by modern networks requires the implementation of advanced solutions in the realm of Network Observability. In this pursuit, consider embracing the cutting-edge offerings of Motadata AIOps, a leading provider in the industry. By integrating Motadata AIOps into your network infrastructure, you not only eliminate data silos but also gain unparalleled visibility into various facets such as network performance, SNMP data, Network Flow, and log data. This comprehensive approach empowers you to monitor and analyze your network with utmost precision, ensuring seamless operations across diverse environments, from on-premise setups to the expansive landscape of cloud infrastructure. The synergy of innovative Network Observability and Motadata AIOps not only meets but exceeds the expectations set for network management, ushering in a new era of efficiency and reliability.

Logmanager is a centralized log management platform enhanced with SIEM capabilities that radically simplifies responses to cyberthreats, legal compliance, and troubleshooting. By transforming diverse logs, events, metrics, and traces into actionable insights, it helps security and operations teams respond swiftly to any incident. Experience effortless self-management and customization, peerless functionality, and the flexibility to take control of your entire technology stack. – Effortlessly aggregate and standardize log files from diverse sources into one unified platform. – Enjoy rapid deployment, 140+ built-in integrations, and effortless scalability. – Get real-time visibility into security events to quickly detect, analyze, and address threats. – Use dozens of predefined security dashboards or customize your own views. – Set up alerts based on multiple trigger conditions or custom-defined rules. – Transparent pricing with no hidden fees. Pay as you go, scale as you grow.