Discover the top alternatives and competitors to Progress OpenEdge RDBMS based on the interviews we conducted with its users.
The top alternative solutions include Firebird SQL, SAP HANA, and SQLite.
The alternatives are sorted based on how often peers compare the solutions.
Progress Software Alternatives Report
Learn what solutions real users are comparing with Progress Software, and compare use cases, valuable features, and pricing.
Progress OpenEdge RDBMS delivers enterprise-level capabilities with strong scalability and support, ideal for complex applications. In comparison, Firebird SQL offers a cost-effective, open-source model, appealing with its ease of use and community-driven support, perfect for budget-conscious organizations seeking simplicity.
Progress OpenEdge RDBMS setup cost is often higher compared to Firebird SQL, which is known for more economical pricing. Firebird SQL offers a cost-effective setup ideal for budget-conscious users, emphasizing affordability over the more premium pricing of Progress OpenEdge.
Progress OpenEdge RDBMS setup cost is often higher compared to Firebird SQL, which is known for more economical pricing. Firebird SQL offers a cost-effective setup ideal for budget-conscious users, emphasizing affordability over the more premium pricing of Progress OpenEdge.
Progress OpenEdge RDBMS is favored for its cost-effectiveness and robust application integration, suitable for budget-focused businesses. In comparison, SAP HANA excels with advanced analytics and real-time processing, making it ideal for organizations prioritizing speed and comprehensive data insights at a higher investment.
Progress OpenEdge RDBMS is ideal for complex data environments with robust enterprise capabilities. In comparison, SQLite is chosen for its minimal setup and lightweight footprint. Costs vary, with Progress OpenEdge offering enterprise-level ROI, while SQLite is cost-effective for smaller projects.
Progress OpenEdge RDBMS excels in ease of integration and security, appealing to cost-conscious organizations. In comparison, Oracle Database In-Memory's advanced in-memory processing offers unmatched analytics, making it ideal for data-intensive enterprises prioritizing high-speed decision-making and scalability despite higher initial costs.
