Best Data Management Software for Progress OpenEdge

Find and compare the best Data Management software for Progress OpenEdge in 2026

Use the comparison tool below to compare the top Data Management software for Progress OpenEdge on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Codeless Platforms BPA Platform Reviews
    BPA Platform iPaaS enables you to effortlessly connect applications, legacy systems, and web services, whether they’re in the cloud or on-premises, and then automate numerous business processes and tasks. An intuitive design and graphical user interface, a wealth of pre-built connectors and business process automation tools, BPA Platform reduces integration development times and brings all your data workflows together in one central location. As your business evolves and grows, you can scale and integrate new systems or applications as and when business requirements change, without extravagant costs. BPA Platform can be installed in the cloud (iPaaS) or on-premises. Compatible with most databases, including AWS and Microsoft Azure, for cloud and hybrid integration projects, it is rapid to install and configure, with the ability to easily scale. Automating business processes not only requires a solid understanding of data but a comprehensive knowledge of source or target applications. Codeless Platforms has accredited partner status with well-known ISVs, such as Access Group, Epicor, Microsoft, Sage, SAP and SYSPRO, along with industry specific applications and systems in a large number of economic regions. Through collaboration with ISVs and leading channel VARs, specialist features have been built into BPA Platform. This provides organisations with the ability to create solutions completely personalised to their internal applications and business operations.
  • 2
    Entity Framework Core Reviews
    Entity Framework (EF) Core is a versatile, lightweight, and open-source version of the widely used Entity Framework data access technology that operates across different platforms. It empowers .NET developers to interact with databases through .NET objects, significantly reducing the amount of data-access code that would typically need to be written. In EF Core, data interaction occurs through a model, which consists of entity classes and a context object that acts as a connection to the database. This context object facilitates both querying and data manipulation. Developers can generate a model directly from an existing database or manually create one to correspond with the database schema. After establishing a model, EF migrations can be employed to build a database from it, allowing for the database to evolve in tandem with any changes made to the model. Furthermore, instances of entity classes can be retrieved from the database using Language Integrated Query (LINQ), and operations such as creating, deleting, and modifying records in the database are accomplished through these instances, thus streamlining the data management process. Overall, EF Core simplifies database interactions and enhances the efficiency of data-driven applications.
  • 3
    Progress DataDirect Reviews
    At Progress DataDirect, we are passionate about enhancing applications through enterprise data. Our solutions for data connectivity cater to both cloud and on-premises environments, encompassing a wide range of sources such as relational databases, NoSQL, Big Data, and SaaS. We prioritize performance, reliability, and security, which are integral to our designs for numerous enterprises and prominent analytics, BI, and data management vendors. By utilizing our extensive portfolio of high-value connectors, you can significantly reduce your development costs across diverse data sources. Our commitment to customer satisfaction includes providing 24/7 world-class support and robust security measures to ensure peace of mind. Experience the convenience of our affordable, user-friendly drivers that facilitate quicker SQL access to your data. As a frontrunner in the data connectivity sector, we are dedicated to staying ahead of industry trends. If you happen to need a specific connector that we have not yet created, don't hesitate to contact us, and we will assist you in developing an effective solution. It's our mission to seamlessly embed connectivity into your applications or services, enhancing their overall functionality.
  • 4
    WSO2 Enterprise Service Bus Reviews
    The WSO2 integration runtime engine can fulfill various functions within your organization's architecture. It serves as both an Enterprise Service Bus (ESB) and a microservices integrator. When functioning as an ESB, it addresses your requirements for message routing, transformation, mediation, orchestration, and hosting of services and APIs. It employs various routing techniques, including header-based, content-based, rule-based, and priority-based routing. Furthermore, it effectively implements Enterprise Integration Patterns (EIPs) and offers capabilities for database and event stream integration. You can transform messages using XSLT 1.0/2.0, XPath, XQuery, and Smooks, alongside visual data mapping tools and connectors for transforming CSV, JSON, and XML formats. The engine is compatible with a wide range of data sources, including any relational database management system (RDBMS), CSV, Excel, ODS, Cassandra, and Google spreadsheets. Additionally, it supports the OData v4 protocol, making it suitable for various RDBMS and Cassandra data sources. Database compatibility extends to MSSQL, DB2, Oracle, OpenEdge, TerraData, MySQL, PostgreSQL/EnterpriseDB, H2, Derby, and any database that utilizes a JDBC driver, allowing for seamless nested queries across different data sources. The versatility and extensive support provided by the WSO2 integration engine empower organizations to streamline their integration processes effectively.
  • 5
    Semarchy xDI Reviews
    Semarchy's flexible, unified data platform will help you make better business decisions across your organization. xDI is the high-performance, flexible, extensible data integration that integrates all your data for all types and uses. Its single technology can federate all forms of data integration and maps business rules into executable code. xDI supports multi-cloud environments, on-premise, hybrid, and cloud environments.
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB