Alternatives to DataOps DataFlow

Composable is an enterprise-grade DataOps platform designed for business users who want to build data-driven products and create data intelligence solutions. It can be used to design data-driven products that leverage disparate data sources, live streams, and event data, regardless of their format or structure. Composable offers a user-friendly, intuitive dataflow visual editor, built-in services that facilitate data engineering, as well as a composable architecture which allows abstraction and integration of any analytical or software approach. It is the best integrated development environment for discovering, managing, transforming, and analysing enterprise data.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Data processing that integrates both streaming and batch operations while being serverless, efficient, and budget-friendly. It offers a fully managed service for data processing, ensuring seamless automation in the provisioning and administration of resources. With horizontal autoscaling capabilities, worker resources can be adjusted dynamically to enhance overall resource efficiency. The innovation is driven by the open-source community, particularly through the Apache Beam SDK. This platform guarantees reliable and consistent processing with exactly-once semantics. Dataflow accelerates the development of streaming data pipelines, significantly reducing data latency in the process. By adopting a serverless model, teams can devote their efforts to programming rather than the complexities of managing server clusters, effectively eliminating the operational burdens typically associated with data engineering tasks. Additionally, Dataflow’s automated resource management not only minimizes latency but also optimizes utilization, ensuring that teams can operate with maximum efficiency. Furthermore, this approach promotes a collaborative environment where developers can focus on building robust applications without the distraction of underlying infrastructure concerns.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

A user-friendly, robust, and dependable system for data processing and distribution is offered by Apache NiFi, which facilitates the creation of efficient and scalable directed graphs for routing, transforming, and mediating data. Among its various high-level functions and goals, Apache NiFi provides a web-based user interface that ensures an uninterrupted experience for design, control, feedback, and monitoring. It is designed to be highly configurable, loss-tolerant, and capable of low latency and high throughput, while also allowing for dynamic prioritization of data flows. Additionally, users can alter the flow in real-time, manage back pressure, and trace data provenance from start to finish, as it is built with extensibility in mind. You can also develop custom processors and more, which fosters rapid development and thorough testing. Security features are robust, including SSL, SSH, HTTPS, and content encryption, among others. The system supports multi-tenant authorization along with internal policy and authorization management. Also, NiFi consists of various web applications, such as a web UI, web API, documentation, and custom user interfaces, necessitating the configuration of your mapping to the root path for optimal functionality. This flexibility and range of features make Apache NiFi an essential tool for modern data workflows.

Cloudera DataFlow for the Public Cloud (CDF-PC) is a versatile, cloud-based data distribution solution that utilizes Apache NiFi, enabling developers to seamlessly connect to diverse data sources with varying structures, process that data, and deliver it to a wide array of destinations. This platform features a flow-oriented low-code development approach that closely matches the preferences of developers when creating, developing, and testing their data distribution pipelines. CDF-PC boasts an extensive library of over 400 connectors and processors that cater to a broad spectrum of hybrid cloud services, including data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring efficient and flexible data distribution. Furthermore, the data flows created can be version-controlled within a catalog, allowing operators to easily manage deployments across different runtimes, thereby enhancing operational efficiency and simplifying the deployment process. Ultimately, CDF-PC empowers organizations to harness their data effectively, promoting innovation and agility in data management.

The Datagaps DataOps Suite serves as a robust platform aimed at automating and refining data validation procedures throughout the complete data lifecycle. It provides comprehensive testing solutions for various functions such as ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Among its standout features are automated data validation and cleansing, workflow automation, real-time monitoring with alerts, and sophisticated BI analytics tools. This suite is compatible with a diverse array of data sources, including relational databases, NoSQL databases, cloud environments, and file-based systems, which facilitates smooth integration and scalability. By utilizing AI-enhanced data quality assessments and adjustable test cases, the Datagaps DataOps Suite improves data accuracy, consistency, and reliability, positioning itself as a vital resource for organizations seeking to refine their data operations and maximize returns on their data investments. Furthermore, its user-friendly interface and extensive support documentation make it accessible for teams of various technical backgrounds, thereby fostering a more collaborative environment for data management.

Maxeler's cutting-edge dataflow solutions seamlessly fit into operational data centers, allowing for straightforward programming and management. These high-performance systems are specifically crafted to work within production server settings, ensuring compatibility with common operating systems and management applications. Our robust management software oversees resource allocation, scheduling, and data transfer throughout the dataflow computing framework. Furthermore, Maxeler dataflow nodes operate with standard Linux distributions, such as Red Hat Enterprise versions 4 and 5, without the need for any alterations. Any application designed for acceleration can function on a Maxeler node as a conventional Linux executable. Developers can create new applications by integrating the dataflow library into their existing code and utilizing simple function interfaces to access its capabilities. The MaxCompiler tool offers comprehensive debugging support throughout the development process, featuring a high-speed simulator that allows for code validation prior to implementation. This ensures that developers can optimize their applications effectively while minimizing the risk of errors. Additionally, Maxeler’s commitment to innovation guarantees that users can take advantage of the latest advancements in dataflow technology.

We are a company specializing in Smart Data Integration, driven by an innovative philosophy. For the past 35 years, we have supported numerous prominent Fortune 500 firms through our unique methods, a proactive problem-solving mindset, and advanced software solutions. Our mission is to enhance corporate operations by streamlining processes while safeguarding their current systems and IT investments. Our Hybrid Data Integration Platform is specifically crafted to maintain your existing IT infrastructure, knowledge, and resources, significantly boosting efficiency and productivity while simplifying and hastening data integration tasks. We offer a comprehensive enterprise solution for file transfers that operates across multiple protocols and platforms, ensuring secure and seamless communication between various applications. This solution not only enables complete control but also offers cost savings and operational benefits. Additionally, our end-to-end data flow monitoring and management solution grants visibility and comprehensive control over data flows, overseeing every stage from source to destination, including any necessary transformations. By integrating these advanced technologies, we empower businesses to thrive in a complex data landscape.

DataOps ETL Validator stands out as an all-encompassing tool for automating data validation and ETL testing. It serves as an efficient ETL/ELT validation solution that streamlines the testing processes of data migration and data warehouse initiatives, featuring a user-friendly, low-code, no-code interface with component-based test creation and a convenient drag-and-drop functionality. The ETL process comprises extracting data from diverse sources, applying transformations to meet operational requirements, and subsequently loading the data into a designated database or data warehouse. Testing within the ETL framework requires thorough verification of the data's accuracy, integrity, and completeness as it transitions through the various stages of the ETL pipeline to ensure compliance with business rules and specifications. By employing automation tools for ETL testing, organizations can facilitate data comparison, validation, and transformation tests, which not only accelerates the testing process but also minimizes the need for manual intervention. The ETL Validator enhances this automated testing by offering user-friendly interfaces for the effortless creation of test cases, thereby allowing teams to focus more on strategy and analysis rather than technical intricacies. In doing so, it empowers organizations to achieve higher levels of data quality and operational efficiency.

Lyniate Corepoint is an easy-to use modular integration engine that provides simplified healthcare data exchange. It integrates quickly and allows you to quickly realize ROI. You can schedule, develop, and go live with interfaces using a test-as you-develop approach, reusable actions and alerting and monitoring capabilities. This is the best-ranked integration engine in KLAS. Corepoint allows you maintain data integrity and interoperability between internal and external data-trading partner, no matter if you are performing platform conversions, system upgrades, or platform migrations. Corepoint's ease-of-use allows you to deploy data integration quickly and cost-effectively while also performing unit tests. Access to knowledgeable, ongoing support from a company that values customer service. With tailored alerts and monitors that are specific to user profiles, quickly troubleshoot data flow issues before they disrupt workflow or operations.

iceDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iceDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iceDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iceDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

Ispirer Toolkit automates cross-platform database and app migrations. It allows you to easily migrate to the most recent technologies from Microsoft, IBM, Oracle and HPE. It can automate up to 100% of the conversion. The Toolkit supports all major database versions: Oracle, SQL Server and DB2, PostgreSQL. It also supports Amazon Redshift, Informix and Progress. Free 30-day trial available. Ispirer Toolkit core aspects: - Maximum level of automation through customization. - We are adding new conversion rules in just 2-3 business days. - Plenty of useful settings that allow to improve the conversion result quality. - --- Cross-platform database migration, including to the clouds. - High quality conversion without mistypes and errors. - Easily maintainable result, since it is structurally similar to the source code. - The same level of functionality in both the GUI and the Command Line Mode.

The LDRA tool suite stands as the premier platform offered by LDRA, providing a versatile and adaptable framework for integrating quality into software development from the initial requirements phase all the way through to deployment. This suite encompasses a broad range of functionalities, which include requirements traceability, management of tests, adherence to coding standards, evaluation of code quality, analysis of code coverage, and both data-flow and control-flow assessments, along with unit, integration, and target testing, as well as support for certification and regulatory compliance. The primary components of this suite are offered in multiple configurations to meet various software development demands. Additionally, a wide array of supplementary features is available to customize the solution for any specific project. At the core of the suite, LDRA Testbed paired with TBvision offers a robust combination of static and dynamic analysis capabilities, along with a visualization tool that simplifies the process of understanding and navigating the intricacies of standards compliance, quality metrics, and analyses of code coverage. This comprehensive toolset not only enhances software quality but also streamlines the development process for teams aiming for excellence in their projects.

Create efficient data flows to collect information from various sources and business platforms. Effortlessly design driver-based models tailored to your organization that can adapt as your enterprise expands. Prepare for potential challenges to quickly assess the effects of events and decisions – in just minutes. Collaborate effectively as a unified team by creating and overseeing workflows. With Profitbase Planner, you can concentrate on generating value. Allocate less time to data collection and invest more time in thorough analysis. Examine various scenarios to gain deeper insights into how different situations affect liquidity, profitability, and the balance sheet. Experience the automatic creation of balance and liquidity figures when conducting scenario simulations. You can revert to earlier versions at any moment to reassess your assumptions. Evaluate your business strategies and scenarios under diverse assumptions and operational drivers, empowering your decision-making process. This holistic approach ensures that your organization is well-prepared for any situation, enhancing overall resilience and adaptability.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

The managed features of Cloud Composer, along with its compatibility with Apache Airflow, enable you to concentrate on crafting, scheduling, and overseeing your workflows rather than worrying about resource provisioning. Its seamless integration with various Google Cloud products such as BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform empowers users to orchestrate their data pipelines effectively. You can manage your workflows from a single orchestration tool, regardless of whether your pipeline operates on-premises, in multiple clouds, or entirely within Google Cloud. This solution simplifies your transition to the cloud and supports a hybrid data environment by allowing you to orchestrate workflows that span both on-premises setups and the public cloud. By creating workflows that interconnect data, processing, and services across different cloud platforms, you can establish a cohesive data ecosystem that enhances efficiency and collaboration. Additionally, this unified approach not only streamlines operations but also optimizes resource utilization across various environments.

At Datametica, our innovative solutions significantly reduce risks and alleviate costs, time, frustration, and anxiety throughout the data warehouse migration process to the cloud. We facilitate the transition of your current data warehouse, data lake, ETL, and enterprise business intelligence systems to your preferred cloud environment through our automated product suite. Our approach involves crafting a comprehensive migration strategy that includes workload discovery, assessment, planning, and cloud optimization. With our Eagle tool, we provide insights from the initial discovery and assessment phases of your existing data warehouse to the development of a tailored migration strategy, detailing what data needs to be moved, the optimal sequence for migration, and the anticipated timelines and expenses. This thorough overview of workloads and planning not only minimizes migration risks but also ensures that business operations remain unaffected during the transition. Furthermore, our commitment to a seamless migration process helps organizations embrace cloud technologies with confidence and clarity.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

Support is available for data migrations from nearly 20 different types of sources, covering both on-premises and cloud environments. A distributed computing framework guarantees efficient data transfer and optimal writing for designated data sources. With a user-friendly wizard-based development interface, you can create migration tasks without the need for intricate programming, allowing for rapid task development. You only incur costs for what you utilize and can avoid the need for investing in dedicated hardware and software resources. Additionally, cloud services for big data can serve as a replacement or backup for on-premises big data systems, facilitating the complete migration of extensive data volumes. The compatibility with relational databases, big data formats, files, NoSQL, and numerous other data sources broadens its applicability. The intuitive task management feature enhances usability right out of the box. Data transfer occurs seamlessly between services on HUAWEI CLOUD, promoting greater data mobility and accessibility across platforms. This comprehensive solution empowers organizations to manage their data migration processes with ease and efficiency.

Rocket Enterprise Analyzer serves as a sophisticated platform for application intelligence and static analysis, providing organizations with extensive insights into their intricate mainframe or legacy application portfolios. This tool thoroughly examines source code, databases, job schedulers, and system definitions, even when dealing with vast quantities of data, and it constructs a centralized repository that captures the complete application structure. By employing detailed dependency mapping, visualizations of control-flow and data-flow, impact analyses, and metrics on code usage, it uncovers the intricate connections among modules, data elements, and processes. The platform is compatible with languages and environments commonly found in mainframe and legacy systems, facilitating a high-level architectural understanding without the need for insights from the original developers or reliance on outdated documentation. Additionally, it features an AI-driven Natural Language Analysis Assistant, allowing developers to interact with the codebase using simple, everyday language queries, thereby streamlining the analysis process and enhancing productivity. This innovative approach not only simplifies the exploration of complex systems but also empowers teams to make informed decisions based on comprehensive, real-time data insights.

ibi Data Migrator is a sophisticated ETL (Extract, Transform, Load) solution aimed at optimizing data integration across a variety of platforms, ranging from local systems to cloud solutions. It automates the creation of data warehouses and data marts, providing seamless access to source data in different formats and operating systems. The platform consolidates various data sources into one or more targets while implementing stringent data cleansing rules to maintain data integrity. Users can utilize specialized high-volume data warehouse loaders to schedule updates based on customizable intervals, which can be activated by specific events or conditions. Additionally, it supports the loading of star schemas that include slowly changing dimensions and features comprehensive logging and transaction statistics for better visibility into data processes. The intuitive graphical user interface, known as the data management console, enables users to design, test, and execute their data flows effectively. Overall, ibi Data Migrator enhances operational efficiency by simplifying complex data integration tasks.

Scalable Python framework designed to build real-time intelligent applications, data pipelines, and integrate AI/ML models

Apache TinkerPop™ serves as a framework for graph computing, catering to both online transaction processing (OLTP) with graph databases and online analytical processing (OLAP) through graph analytic systems. The traversal language utilized within Apache TinkerPop is known as Gremlin, which is a functional, data-flow language designed to allow users to effectively articulate intricate traversals or queries related to their application's property graph. Each traversal in Gremlin consists of a series of steps that can be nested. In graph theory, a graph is defined as a collection of vertices and edges. Both these components can possess multiple key/value pairs referred to as properties. Vertices represent distinct entities, which may include individuals, locations, or events, while edges signify the connections among these vertices. For example, one individual might have connections to another, have participated in a certain event, or have been at a specific location recently. This framework is particularly useful when a user's domain encompasses a diverse array of objects that can be interconnected in various ways. Moreover, the versatility of Gremlin enhances the ability to navigate complex relationships within the graph structure seamlessly.

AWS Database Migration Service enables swift and secure database migrations to the AWS platform. During this process, the source database continues its operations, which effectively reduces downtime for applications that depend on it. This service is capable of transferring data to and from many of the most popular commercial and open-source databases available today. It facilitates both homogeneous migrations, like Oracle to Oracle, and heterogeneous migrations, such as transitioning from Oracle to Amazon Aurora. The service supports migrations from on-premises databases to Amazon Relational Database Service (Amazon RDS) or Amazon Elastic Compute Cloud (Amazon EC2), as well as transfers between EC2 and RDS, or even from one RDS instance to another. Additionally, it can handle data movement across various types of databases, including SQL, NoSQL, and text-based systems, ensuring versatility in data management. Furthermore, this capability allows businesses to optimize their database strategies while maintaining operational continuity.

Flowhub IDE serves as a versatile tool for visually constructing full-stack applications. Its flow-based programming environment allows users to develop a wide range of projects, from distributed data processing systems to interactive internet-connected art installations. This platform supports JavaScript and operates seamlessly in both browser and Node.js environments. Additionally, it facilitates flow-based programming tailored for microcontrollers, such as Arduinos, making it an excellent toolkit for creating IoT solutions. Flowhub adheres to the FBP protocol, enabling integration with custom dataflow systems. The design begins on a virtual whiteboard, maintaining a streamlined approach throughout the development process. The intuitive “graph” feature presents your software's flow in a clear and aesthetically pleasing manner. Engineered for touchscreen functionality, Flowhub empowers users to develop applications on their tablets while mobile, although having a keyboard may enhance the experience during component editing. Ultimately, Flowhub fosters creativity and efficiency in software development across various platforms and devices.

A user-friendly, serverless service for change data capture and replication that provides access to streaming data from a variety of databases including MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle. This solution enables near real-time analytics in BigQuery, allowing for quick insights and decision-making. With a straightforward setup that includes built-in secure connectivity, organizations can achieve faster time-to-value. The platform is designed to scale automatically, eliminating the need for resource provisioning or management. Utilizing a log-based mechanism, it minimizes the load and potential disruptions on source databases, ensuring smooth operation. This service allows for reliable data synchronization across diverse databases, storage systems, and applications, while keeping latency low and reducing any negative impact on source performance. Organizations can quickly activate the service, enjoying the benefits of a scalable solution with no infrastructure overhead. Additionally, it facilitates seamless data integration across the organization, leveraging the power of Google Cloud services such as BigQuery, Spanner, Dataflow, and Data Fusion, thus enhancing overall operational efficiency and data accessibility. This comprehensive approach not only streamlines data processes but also empowers teams to make informed decisions based on timely data insights.

Gather all your unstructured data to meet your LLM requirements effectively. Datavolo transforms single-use, point-to-point coding into rapid, adaptable, reusable pipelines, allowing you to concentrate on what truly matters—producing exceptional results. As a dataflow infrastructure, Datavolo provides you with a significant competitive advantage. Enjoy swift, unrestricted access to all your data, including the unstructured files essential for LLMs, thereby enhancing your generative AI capabilities. Experience pipelines that expand alongside you, set up in minutes instead of days, without the need for custom coding. You can easily configure sources and destinations at any time, while trust in your data is ensured, as lineage is incorporated into each pipeline. Move beyond single-use pipelines and costly configurations. Leverage your unstructured data to drive AI innovation with Datavolo, which is supported by Apache NiFi and specifically designed for handling unstructured data. With a lifetime of experience, our founders are dedicated to helping organizations maximize their data's potential. This commitment not only empowers businesses but also fosters a culture of data-driven decision-making.

ConvertRite serves as the premier tool for migrating data from various ERP systems to Oracle cloud applications, effectively simplifying this complex process. By utilizing ConvertRite, users can swiftly and precisely transfer their data, which promotes an efficient transition from Legacy Applications to the Cloud. This tool is equipped with an extensive range of features that enhance your data migration experience. It supports seamless data extraction, transformation, and detailed error reporting, thus ensuring that the integrity and reliability of the data being migrated are upheld. With its sophisticated reconciliation features, ConvertRite allows for the verification of migrated data against the original source system, facilitating a hassle-free transfer. Additionally, it guarantees that data is meticulously mapped and aligned with the specifications set forth by the Oracle Cloud applications, thereby maintaining data consistency and minimizing the risk of discrepancies. Furthermore, ConvertRite's user-friendly interface makes it accessible for organizations of all sizes to embark on their migration journey with confidence.

Google Cloud's Confidential Computing offers hardware-based Trusted Execution Environments (TEEs) that encrypt data while it is actively being used, thus completing the encryption process for data both at rest and in transit. This suite includes Confidential VMs, which utilize AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, alongside Confidential Space facilitating secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption tools. Confidential VMs are designed to support workloads within Compute Engine and are applicable across various services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. The underlying architecture guarantees that memory is encrypted during runtime, isolates workloads from the host operating system and hypervisor, and includes attestation features that provide customers with proof of operation within a secure enclave. Use cases are diverse, spanning confidential analytics, federated learning in sectors like healthcare and finance, generative AI model deployment, and collaborative data sharing in supply chains. Ultimately, this innovative approach minimizes the trust boundary to only the guest application rather than the entire computing environment, enhancing overall security and privacy for sensitive workloads.

Threagile empowers teams to implement Agile Threat Modeling with remarkable ease, seamlessly integrating into DevSecOps workflows. This open-source toolkit allows users to represent an architecture and its assets in a flexible, declarative manner using a YAML file, which can be edited directly within an IDE or any YAML-compatible editor. When the Threagile toolkit is executed, it processes a series of risk rules that perform security evaluations on the architecture model, generating a comprehensive report detailing potential vulnerabilities and suggested mitigation strategies. Additionally, visually appealing data-flow diagrams are automatically produced, along with various output formats such as Excel and JSON for further analysis. The tool also supports ongoing risk management directly within the Threagile YAML model file, enabling teams to track their progress on risk mitigation effectively. Threagile can be operated through the command line, and for added convenience, a Docker container is available, or it can be set up as a REST server for broader accessibility. This versatility ensures that teams can choose the deployment method that best fits their development environment.

OpenText Migrate provides a streamlined and secure way to move physical, virtual, and cloud workloads to or from any environment with near-zero downtime. Leveraging real-time, byte-level replication, the platform continuously duplicates source data efficiently, minimizing bandwidth use and maintaining user productivity during migration. It supports a wide variety of operating systems and cloud platforms such as AWS, Azure, and Google Cloud, offering complete flexibility. Automated configuration and management simplify complex migration steps and help avoid errors. OpenText Migrate ensures strong security with AES 256-bit encryption protecting data in transit. The solution’s cutover process is fast, repeatable, and easily reversible if needed. Users can also conduct unlimited non-disruptive test migrations to validate the new environment without affecting ongoing operations. This comprehensive approach helps organizations reduce costs, avoid vendor lock-in, and minimize migration risks.

eXplain is a robust tool developed by PKS Software GmbH for code analysis and the assessment of legacy systems, specifically aimed at performing in-depth evaluations of legacy applications on mainframe platforms like IBM i (AS/400) and IBM Z. This software allows organizations to gain insights into their software's contents, structural integrity, and identifies components that may be retained, improved, or phased out. By importing existing source code into a standalone "eXplain server," the tool eliminates the necessity for installations on the host system, utilizing sophisticated parsers to scrutinize programming languages such as COBOL, PL/I, Assembler, Natural, RPG, and JCL, along with information pertaining to databases like Db2, Adabas, and IMS, as well as job schedulers and transaction monitors. eXplain creates a centralized repository that functions as a knowledge hub, from which it can produce cross-language dependency graphs, data-flow diagrams, interface evaluations, groupings of related modules, and comprehensive reports on object and resource usage. This enables users to visualize relationships within the code, enhancing their understanding of the software landscape. Ultimately, eXplain empowers organizations to make informed decisions regarding the future of their legacy systems.

Data Migration Manager (DMM) for OutSystems automates data & BPT migration, export, import, data deletion or scramble/anonymization between all OutSystems environments (Cloud, Onprem, PaaS, Hybrid, mySQL, Oracle, SQL Server, Azure SQL, Java or .NET) and versions (8, 9, 10 or 11). Only solution with a FREE download from OS FORGE Did you... You need to upgrade servers and migrate apps, but now you must migrate the data & light BPT or BPT? To populate lookup data, you will need to migrate data from the Qual to Prod Environment. You need to move from Prod to Quali to replicate problems or get a good QA environment to test. Do you need to back up data to be able later to restore a demo environment? Do you need to import data from other systems into OutSystems? Do you need to validate performance? What is Infosistema DMM? https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Dstrh2TLliNc Reduce costs, reduce risks, and increase time-to market DMM is the fastest way to solve a problem!

Personal data is systematically collected, utilized, and shared through various channels, and PrivacyAnt Software offers cutting-edge data-flow maps that enhance privacy management. These visual tools effectively illustrate the processing of personal information, thereby strengthening your accountability records. Elevate your accountability measures by obtaining an independent evaluation of your existing data protection framework. Our team of certified privacy experts is ready to review and validate your current privacy initiatives by examining your practices and data management protocols. Should you require assistance in enhancing your privacy program, whether it's refining an incident response strategy or implementing privacy by design principles, we can supply you with best practices tailored to your specific requirements. If you are uncertain about conducting a data protection impact assessment or PIA, rest assured that we've successfully completed numerous privacy assessments and are eager to assist you in this critical area. With our expertise, you can navigate the complexities of privacy compliance with confidence.

Data cleansing, migration, integration, and reconciliation can occur seamlessly between cloud environments and on-premise systems. Operating on OCI, it provides secure connectivity to Oracle Enterprise Applications whether hosted in the cloud or on-premises. This unified platform facilitates data and setup migrations, integrations, reconciliations, big data ingestion, and archival processes. It boasts over 9,000 pre-built API templates and web services for enhanced functionality. The data quality engine incorporates pre-configured business rules to efficiently profile, clean, enrich, and correct data, ensuring high standards are maintained. With its configurable, agile design, it supports both low-code and no-code environments, allowing for immediate utilization in a fully cloud-enabled context. This migration platform is specifically designed for transferring data into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft, and numerous other enterprise applications, accommodating a range of legacy systems as well. Its robust and scalable framework is complemented by a user-friendly interface, while more than 3,000 Smart Data Adapters are available, providing comprehensive coverage for various Oracle Applications and enhancing the overall migration experience.

We assist you in achieving compliance, transforming it into a valuable asset that enhances your business with Complyon’s software for governance, compliance, and risk management. Our innovative tools guarantee your adherence to regulations. Data mapping enables you to reuse, optimize, and interlink your data flows, ultimately saving time while ensuring the security of your information. With our reporting feature, you can quickly generate current and protocol-ready reports in mere seconds, addressing all aspects from systems to associated risks. Our platform decentralizes compliance, providing a trusted central hub that management can rely on, while also being easy to update, validate, and administrate. Enhance your compliance processes with our customized workflows tailored to your specific needs. Central governance, combined with input from business units, ensures that you have all necessary data to maintain compliance with GDPR and other essential regulations. Moreover, data flow analysis offers a comprehensive view of your information by illustrating the connections between various activities, systems, and processes, encompassing everything from third-party relationships to policies, legal foundations, and retention rules. By streamlining these elements, we help businesses navigate the complex landscape of compliance more effectively.

Google Cloud Pub/Sub offers a robust solution for scalable message delivery, allowing users to choose between pull and push modes. It features auto-scaling and auto-provisioning capabilities that can handle anywhere from zero to hundreds of gigabytes per second seamlessly. Each publisher and subscriber operates with independent quotas and billing, making it easier to manage costs. The platform also facilitates global message routing, which is particularly beneficial for simplifying systems that span multiple regions. High availability is effortlessly achieved through synchronous cross-zone message replication, coupled with per-message receipt tracking for dependable delivery at any scale. With no need for extensive planning, its auto-everything capabilities from the outset ensure that workloads are production-ready immediately. In addition to these features, advanced options like filtering, dead-letter delivery, and exponential backoff are incorporated without compromising scalability, which further streamlines application development. This service provides a swift and dependable method for processing small records at varying volumes, serving as a gateway for both real-time and batch data pipelines that integrate with BigQuery, data lakes, and operational databases. It can also be employed alongside ETL/ELT pipelines within Dataflow, enhancing the overall data processing experience. By leveraging its capabilities, businesses can focus more on innovation rather than infrastructure management.

Ispirer nGLFly Wizard manages cross-platform migration. The tool automatically migrates the source code between two languages. The tool can also change the architecture of an application, such as from desktop to web based. The software optimizes migration to reduce time and ensure high-quality migration. We modernize legacy applications. COBOL, Progress 4GL Informix 4GL Delphi, PowerBuilder, and Informix 4GL to modern technologies including WEB architecture provided by the.NET ecosystem and Java ecosystem.

Kovair QuickSync serves as a comprehensive and budget-friendly data migration solution suitable for enterprises across various industries. This desktop application, which operates on Windows, is straightforward to install and user-friendly. Its requirement for minimal infrastructural support enhances its cost-effectiveness and operational efficiency within the sector. Beyond enabling data migration from a single source to a single target, it also supports the transfer of data from one source to multiple destinations. The intuitive interface makes it highly adaptable and appealing to users. Additionally, it features an integrated disaster recovery system and the ability to perform re-migrations, guaranteeing a complete data transfer with zero loss. The solution also supports migration based on templates, allowing configurations from one project to be easily repurposed for future projects. Furthermore, it offers real-time monitoring of migration progress, ensuring users receive up-to-date information on the status and health of the migration process. This combination of features not only boosts efficiency but also instills confidence in the data migration process.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

Ispirer SQLWays is a simple-to-use tool for cross-database migration. It allows you to migrate your entire database schema including SQL objects, tables, and data, from the source to the target databases. All of these capabilities can be combined into one solution: smart conversion, teamwork and technical support, tool customization based on your project requirements, etc. Customization option. The migration process can be tailored to meet specific business requirements using SQLWays Toolkit. It accelerates database modernization. High level of automation. Smart migration core offers a high degree of automation to the migration process. This ensures a consistent, reliable migration. Code security. We place great importance on privacy. We developed a tool that does neither save nor send the code structures. Our tool will ensure that your data remains safe as it can operate without an internet connection.

FluentPro Project Migrator, a cloud platform that automates project data migration, is available. Companies can migrate projects between the most popular project management platforms, Microsoft Planner, Trello, Monday.com, Asana, Project Online, Project for the Web, Smartsheet, and Dynamics Project Operations. Project Migrator is a fully automated, secure, and lightning-fast software that allows companies to migrate their projects seamlessly. Organizations can reap many benefits from Project Migrator * Project Migrator can save 90% on time it takes to complete project migrations. * Reduces migration costs by up to 90% * Reduces all risks associated with data migration, including loss of project data. * Provides total flexibility: IT specialists and project managers can perform migrations whenever necessary, via the web or through Microsoft Teams. * Project Migrator provides high security. It runs in the cloud (Microsoft Azure), and there is no data download to any desktop computers.

Gain a comprehensive understanding of your model's efficacy by logging both inputs and outputs while enhancing them with relevant metadata and user insights. This approach allows you to truly assess your model's functionality and identify areas that require refinement. Keep an eye out for errors and pinpoint underperforming user segments and scenarios that may need attention. The most effective models leverage user-generated data; therefore, systematically collect atypical or low-performing instances to enhance your model through retraining. Rather than sifting through countless outputs following adjustments to your prompts or models, adopt a programmatic evaluation of your LLM-driven applications. Rapidly identify and address performance issues by monitoring new deployments in real-time and effortlessly updating the version of your application that users engage with. Establish connections between your self-hosted or third-party models and your current data repositories for seamless integration. Handle enterprise-scale data effortlessly with our serverless streaming data flow engine, designed for efficiency and scalability. Moreover, Gantry adheres to SOC-2 standards and incorporates robust enterprise-grade authentication features to ensure data security and integrity. This dedication to compliance and security solidifies trust with users while optimizing performance.

mLogica stands out as a top-tier enterprise modernization firm focused on cloud migration, big data analytics, and IT transformation. The company delivers automated solutions for database and application modernization, enabling businesses to transition their legacy systems to the cloud in an efficient and budget-friendly manner. Among its offerings is CAP*M, a platform designed for complex event analytics, alongside LIBER*M, which serves as a tool for mainframe modernization, and STAR*M, a system for modernizing distributed workloads. Additionally, mLogica extends its services to include managed offerings in database optimization, consulting, and cybersecurity, ensuring that companies can expand securely while achieving optimal performance. With a commitment to innovation and efficiency, mLogica empowers organizations to navigate their digital transformation journeys seamlessly.