Best Database Software of 2025 - Page 18

TEXTML Server serves as a specialized database system specifically created for the effective storage and retrieval of XML documents, in addition to various other formats such as PDFs and images. This system acts as a fundamental component for applications that require the management of extensive XML data or for those dealing with loosely structured information that conventional relational databases struggle to accommodate efficiently. Its core design focusing on XML grants TEXTML Server significant adaptability, making it an excellent fit for a broad range of applications. Users can implement it independently or in conjunction with traditional relational databases, enhancing its utility. The system is compatible with both two-tier and n-tier architectures, facilitating browser-based applications as well. Moreover, client applications that utilize the TEXTML SDK can operate seamlessly on Windows as well as multiple distributions of Linux. For comprehensive details regarding system requirements, users are encouraged to consult the TEXTML Server Installation Guide, ensuring a smooth setup process. Overall, TEXTML Server stands out as a powerful tool for developers needing to handle complex data structures efficiently.

Imply is a cutting-edge analytics platform that leverages Apache Druid to manage extensive, high-performance OLAP (Online Analytical Processing) tasks in real-time. It excels at ingesting data instantly, delivering rapid query results, and enabling intricate analytical inquiries across vast datasets while maintaining low latency. This platform is specifically designed for enterprises that require engaging analytics, real-time dashboards, and data-centric decision-making on a large scale. Users benefit from an intuitive interface for exploring data, enhanced by features like multi-tenancy, detailed access controls, and operational insights. Its distributed architecture and ability to scale make Imply particularly advantageous for applications in streaming data analysis, business intelligence, and real-time monitoring across various sectors. Furthermore, its capabilities ensure that organizations can efficiently adapt to increasing data demands and quickly derive actionable insights from their data.

Oversee all resources on both Linux and Windows-based dedicated or cloud servers, keeping track of URLs and monitoring SSL expiration dates, with alerts configured for any incidents. Utilize CloudStats for backing up your servers, whether to Amazon S3 or local storage solutions. Gain insights into which processes are utilizing your server’s resources and invite your System Administrators and Co-Founders to access this information with appropriate permissions. Tailor your alerts to match your requirements and ensure they reach the right members of your team. CloudStats serves as a versatile platform for monitoring websites and servers, functioning effectively with both Linux and Windows operating systems. The monitoring process involves deploying an agent on your server that gathers and transmits data to the monitoring platform every minute. Communication is secured through an SSL connection, ensuring your data is transmitted safely. To facilitate agent connections, it is essential to open Ports 443 and 80, where Port 443 handles data transmission while Port 80 manages Pings and Keepalive requests, allowing for seamless and reliable server monitoring. By leveraging these capabilities, you can maintain optimal server performance and address issues proactively.

Store data in its native format for graph, document, and search purposes. Leverage a comprehensive query language that allows for rich access to this data. Map the data directly to the database and interact with it through optimal methods tailored for specific tasks, such as traversals, joins, searches, rankings, geospatial queries, and aggregations. Experience the benefits of polyglot persistence without incurring additional costs. Design, scale, and modify your architectures with ease to accommodate evolving requirements, all while minimizing effort. Merge the adaptability of JSON with advanced semantic search and graph technologies, enabling the extraction of features even from extensive datasets, thereby enhancing data analysis capabilities. This combination opens up new possibilities for handling complex data scenarios efficiently.

Ensure your business applications are continuously accessible by leveraging a dependable database system designed for enterprise-level, high-volume workloads with exceptional fault tolerance. The CA Datacom® suite, along with its various rDBMS offerings, serves as the robust repository you need. This resilient database system takes advantage of zIIP specialty processor technology, resulting in enhanced and economically efficient database management. It facilitates seamless integration with mobile-to-mainframe initiatives, cloud services, web applications, and big data analytics through JDBC and ODBC interfaces. Effectively handle high-volume workloads, while each new version incorporates advanced hardware technologies and refined memory optimization strategies. Database Administrators and Systems Programmers can easily monitor and manage their environment by querying the Dynamic System Tables within a Multi-User Facility region on a specific LPAR, utilizing contemporary tools. Furthermore, modern developers who may be new to the mainframe environment can efficiently manage their source code using popular modern IDEs like Visual Studio Code or Eclipse CHE, bridging the gap between traditional and contemporary development practices. This capability not only enhances productivity but also fosters innovation within the organization.

Our team of Oracle experts provides software in one of the world's largest marketplaces, enabling swift identification and resolution of performance issues across your Oracle infrastructure using real-time diagnostics. Delve into comprehensive statistics concerning your databases and instances, while simultaneously monitoring multiple databases from a single screen. This software is compatible with Windows, Mac OS X, and Linux, and can operate in either stand-alone or RAC mode. The SETRA Management Console is an essential tool for managing and anticipating the growth of your diverse database environments. With just a single page, you can gain a broad overview of all instances and easily access detailed information for each one. Presented by SETRA Conseil, this multifunctional tool streamlines database management. Additionally, the SETRA Box offers a unique, modular, and efficient monitoring solution crafted by our teams, allowing you to integrate all systems and equipment for a comprehensive and accurate view of your entire infrastructure. This integration not only enhances oversight but also aids in strategic planning for future expansions.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

ROBIN is the first hyper-converged Kubernetes platform in the industry for big data, databases and AI/ML. The platform offers a self-service App store experience to deploy any application anywhere. It runs on-premises in your private cloud or in public-cloud environments (AWS, Azure and GCP). Hyper-converged Kubernetes combines containerized storage and networking with compute (Kubernetes) and the application management layer to create a single system. Our approach extends Kubernetes to data-intensive applications like Hortonworks, Cloudera and Elastic stack, RDBMSs, NoSQL database, and AI/ML. Facilitates faster and easier roll-out of important Enterprise IT and LoB initiatives such as containerization and cloud-migration, cost consolidation, productivity improvement, and cost-consolidation. This solution addresses the fundamental problems of managing big data and databases in Kubernetes.

The BASIS Database Management System (DBMS) offers developers both relational access and high-speed navigational access to their data. With its robust and powerful features, the BASIS DBMS allows for a versatile integration of advanced SQL statements and relational data access techniques alongside the efficiency and control of navigational functions like direct table and index access, as well as direct movement between tables. Furthermore, the BASIS SQL engine empowers developers to run queries and other SQL commands from various third-party applications. This combination of data access methods enables seamless retrieval of results, whether from an SQL query or directly from a table accessed on the server through the optimized BASIS ISAM database engine. Consequently, users benefit from a streamlined interface that merges SQL command support with direct-result-set navigation, creating a cohesive and integrated solution for data management. This sophisticated approach ensures that developers can work efficiently, leveraging the strengths of both relational and navigational access.

EntelliFusion by Teksouth is a fully managed, end to end solution. EntelliFusion's architecture is a one-stop solution for outfitting a company's data infrastructure. Instead of trying to put together multiple platforms for data prep, data warehouse and governance, and then deploying a lot of IT resources to make it all work, EntelliFusion's architecture offers a single platform. EntelliFusion unites data silos into a single platform that allows for cross-functional KPI's. This creates powerful insights and holistic solutions. EntelliFusion's "military born" technology has been able to withstand the rigorous demands of the USA's top echelon in military operations. It was scaled up across the DOD over twenty years. EntelliFusion is built using the most recent Microsoft technologies and frameworks, which allows it to continue being improved and innovated. EntelliFusion is data-agnostic and infinitely scalable. It guarantees accuracy and performance to encourage end-user tool adoption.

Silk gives your cloud databases the power they need to reach performance levels you could only dream of. The Silk platform is seamlessly integrated between your cloud infrastructure, and your database. Silk is a smart, resilient, yet invisible layer that transforms your cloud infrastructure into a cloud powerhouse. It optimizes your data without any changes to your DB or apps. This makes your cloud environment 10x faster and your stack more resilient to any infrastructure hiccups.

Amazon DocumentDB, which is compatible with MongoDB, offers a rapid, scalable, highly reliable, and fully managed solution for document database needs, specifically catering to MongoDB workloads. This service simplifies the storage, querying, and indexing of JSON data, making it an ideal choice for developers. Built from the ground up as a non-relational database, Amazon DocumentDB ensures the performance, scalability, and availability crucial for handling mission-critical MongoDB workloads on a large scale. One of its key features is the separation of storage and compute, which allows each component to scale independently. Users can enhance read capacity to millions of requests per second in a matter of minutes by adding up to 15 low-latency read replicas, irrespective of data volume. Additionally, Amazon DocumentDB is engineered for 99.99% availability, maintaining six copies of data across three different AWS Availability Zones (AZs) to ensure redundancy and reliability. This architecture not only enhances data safety but also significantly improves the overall performance of applications that rely on it.

Webair offers a comprehensive Database-as-a-Service (DBaaS) solution, ensuring that your business has reliable and secure access to its essential data at all times. Our experienced team excels in overseeing the implementation, configuration, administration, and optimization of various database clusters, such as business-critical, load-balanced, and replicated MySQL clusters, which include options like MariaDB, Galera, and NoSQL. With a focus on creating a high-performance database environment, our Database Administrators collaborate with you to tailor the ideal solution, aligning top-tier infrastructure with the appropriate database configuration to suit your specific needs. By entrusting us with routine database responsibilities—such as performance monitoring, configuration management, memory allocation, storage oversight, log file handling, sizing, and applying service updates—you can redirect your attention to more pressing business matters, particularly the management of vital data within your database. This partnership enables your organization to thrive without the burden of database maintenance tasks, allowing for greater efficiency and productivity.

It is a highly scalable, embedded SQL database that can be accessed from anywhere. It also includes commercial-grade data security, disaster recovery, change synchronization, and data security.

Clonetab has many options to meet the needs of each site. Although Clonetab's core features will suffice for most site requirements, Clonetab also offers infrastructure to allow you to add custom steps to make it more flexible to meet your specific needs. Clonetab base module for Oracle Databases, eBusiness Suite, and PeopleSoft is available. Normal shell scripts used to perform refreshes can leave sensitive passwords in flat file. They may not have an audit trail to track who does refreshes and for which purpose. This makes it difficult to support these scripts, especially if the person who created them leaves the organization. Clonetab can be used to automate refreshes. Clonetab's features, such as pre, post and random scripts, target instances retention options like dblinks, concurrent processes, and appltop binary copying, allow users to automate most of their refresh steps. These steps can be done once. The tasks can then be scheduled.

SQL Server Management Studio (SSMS) serves as a comprehensive platform for overseeing a range of SQL infrastructures, including both SQL Server and Azure SQL Database. It offers a variety of tools aimed at configuring, monitoring, and administrating SQL Server instances along with their associated databases. With SSMS, users can deploy, oversee, and enhance the data-tier components integral to their applications, as well as create queries and scripts. Additionally, SSMS facilitates the querying, designing, and management of databases and data warehouses, whether they reside on local machines or in the cloud. This makes SSMS an essential tool for database administrators and developers alike, ensuring efficient handling of data management tasks.

With the Database Management Solutions for IMS™ on z/OS®, users can enjoy significantly quicker data access, the ability to swiftly generate and reconstruct indexes, and the option to implement secondary indexes on Fast Path databases, all while reducing backup and recovery durations, enhancing data accessibility, conserving CPU resources, and ensuring reliable, secure data that can be restored promptly. This solution alleviates the challenges associated with managing and upkeeping IMS structures, ultimately boosting overall productivity. It facilitates the creation of secure backups, the establishment of recovery protocols, and the execution of disaster recovery strategies. Furthermore, it employs advanced analytical tools to maintain optimal performance of IMS structures. Relying on our IMS Database Management Solutions guarantees improved automation and optimization of database functionalities, which leads to shorter backup and recovery times, enhanced CPU efficiency, and quicker data retrieval or restoration, as well as greater data availability. In doing so, it ensures that your organization can operate smoothly and respond effectively to any data-related challenges.

Calligra Suite, developed by KDE, is a comprehensive office and graphic design software package that caters to desktop computers, tablets, and smartphones. This suite includes a variety of applications designed for tasks such as word processing, spreadsheet management, presentation creation, vector graphic design, and database editing. Among its offerings, Calligra Words stands out as an easy-to-use word processor that incorporates desktop publishing capabilities, allowing users to produce visually appealing documents with minimal effort. Adding images and charts to your documents is a straightforward process, as you can simply drag and drop them into place. Calligra Sheets provides a robust environment for creating spreadsheets, complete with formula support and chart generation, enabling users to efficiently manage and analyze their data. Additionally, KEXI serves as a visual application creator for databases, empowering users to design custom database applications, input and modify data, execute queries, and manage data processing. The ability to create forms adds a layer of customization, allowing for tailored interfaces that enhance user interaction with the data. Overall, Calligra Suite is a versatile toolset that caters to a wide range of productivity needs.

Experience a robust, singular Postgres database designed for both public and private information. Seamlessly add data in mere seconds and conduct queries across the entire dataset with ease. Sharing is effortless with just a click; simply select Upload or drag your dataset directly onto bit.io to incorporate tables into your repositories. You can invite friends, assemble teams, or share links to your repository while managing specific access permissions. If you stumble upon intriguing data while navigating the site, feel free to query it anytime, from anywhere. For public repositories, accessing and querying data is instantaneous. Here are several examples of how to effectively utilize data within bit.io. With security as a top priority, we ensure that your database is not inadvertently exposed to the internet, mitigating risks associated with default or absent passwords. Your data remains secure both during transmission, thanks to TLS/SSL encryption, and while stored on disk. Revoking access is straightforward; a single button click replaces the need for convoluted SQL commands. Check out our sample repository, explore freely, and don't hesitate to create your own repository with our data for further experimentation. The platform is user-friendly, making data management a breeze.

EraDB is an innovative database architecture that emphasizes the separation of storage and computing, offers true zero-schema data storage, and incorporates machine learning for adaptable indexing, enabling users to minimize data size, cost, and complexity while ensuring rapid queries over extensive datasets. With automatic indexing on all dimensions, you don't need to determine your query requirements in advance, while its schemaless nature allows for the storage of data with varying structures. Designed for adaptability, EraDB allows for interchangeable front-end and back-end systems, catering to diverse user needs. In contrast to traditional storage engines that struggle with complex data, leading to crashes or significant slowdowns, EraDB ensures efficient handling of intricate datasets without compromising performance. This makes it a robust solution for modern data management challenges.

Utilize Ignite as a conventional SQL database by employing JDBC drivers, ODBC drivers, or the dedicated SQL APIs that cater to Java, C#, C++, Python, and various other programming languages. Effortlessly perform operations such as joining, grouping, aggregating, and ordering your distributed data, whether it is stored in memory or on disk. By integrating Ignite as an in-memory cache or data grid across multiple external databases, you can enhance the performance of your existing applications by a factor of 100. Envision a cache that allows for SQL querying, transactional operations, and computational tasks. Develop contemporary applications capable of handling both transactional and analytical workloads by leveraging Ignite as a scalable database that exceeds the limits of available memory. Ignite smartly allocates memory for frequently accessed data and resorts to disk storage when dealing with less frequently accessed records. This allows for the execution of kilobyte-sized custom code across vast petabytes of data. Transform your Ignite database into a distributed supercomputer, optimized for rapid calculations, intricate analytics, and machine learning tasks, ensuring that your applications remain responsive and efficient even under heavy loads. Embrace the potential of Ignite to revolutionize your data processing capabilities and drive innovation within your projects.

Welcome to H2, a Java SQL database designed for efficient data management. In its embedded mode, an application can access the database directly within the same Java Virtual Machine (JVM) using JDBC, making it the quickest and simplest connection method available. However, a drawback of this setup is that the database can only be accessed by one virtual machine and class loader at a time. Like other modes, it accommodates both persistent and in-memory databases without restrictions on the number of simultaneous database accesses or open connections. On the other hand, the mixed mode combines features of both embedded and server modes; the initial application that connects to the database operates in embedded mode while simultaneously launching a server to enable other applications in different processes or virtual machines to access the same data concurrently. This allows local connections to maintain the high speed of the embedded mode, whereas remote connections may experience slight delays. Overall, H2 provides a flexible and robust solution for various database needs.

DBStack, offered by Alibaba Cloud, serves as a comprehensive platform for database management that encompasses a wide range of services, including online transaction processing (OLTP), online analytical processing (OLAP), and NoSQL databases, along with a robust suite of database ecosystem solutions. This platform is designed to provide enterprises with dependable, secure, and affordable database options to fulfill their needs for data production and integration, real-time data processing, analytical insights, and effective data management. Additionally, DBStack integrates all of Alibaba Cloud's cloud-native management capabilities, ensuring high availability, scalability, performance enhancement, manageability, cost efficiency, and compliance with security standards, achieving a minimum recovery point objective (RPO) of zero and a recovery time objective (RTO) of under one minute. As a result, businesses can rely on DBStack to support their critical operations and maintain seamless data integrity.

Fujitsu Enterprise Postgres stands out as a highly dependable and powerful relational database tailored for businesses that demand exceptional query performance and consistent availability. Built on the acclaimed open-source platform PostgreSQL, it incorporates additional enterprise-level features that enhance both security and efficiency. The installation and management of Fujitsu Enterprise Postgres are handled by skilled database professionals from Fujitsu, who are also available to support the transition of data from your current database systems. Given its foundation in PostgreSQL, FEP offers remarkable compatibility with various systems and applications. Furthermore, the user-friendly, streamlined graphical interface significantly enhances the experience for database administrators carrying out essential functions like executing queries, conducting scans, and performing backups, ultimately making data management and reporting more user-friendly and effective. This comprehensive approach ensures that organizations can leverage their data to its fullest potential.

Articulate the desired structure of your database using a straightforward and declarative format. Our open-source engine is capable of automatically creating migration plans that are validated during your team's established CI pipeline and subsequently deployed to production with confidence. Our platform meticulously simulates and evaluates every suggested modification throughout your existing CI process, ensuring that no inadvertent disruptions occur within the database. Identify potentially harmful changes, issues with backward compatibility, unintentional table locks, and constraint violations long before they make their way into production environments. Implement database schema alterations seamlessly within your continuous delivery pipelines through our integrations with Terraform or Helm. Additionally, our platform empowers you to execute modifications that may not be entirely verifiable during CI, as they rely on the specific data present in the target database. This capability enhances the overall safety and reliability of your database management practices.