IBM Informix is a widely used and scalable relational database management system designed to handle large amounts of data and high transaction volumes. It is known to provide exceptional performance, thanks to its Parallel Data Query Engine (PDQ) that enables parallel processing of queries and operations, significantly reducing response times for complex queries and large data sets. Additionally, Informix supports online operations like backup, restore, index maintenance, and table reorganization, minimizing downtime and ensuring continuous availability.
I am not aware of the licensing costs or terms.
For me, it's always too expensive.
I am not aware of the licensing costs or terms.
For me, it's always too expensive.
The Progress OpenEdge Relational Database Management System (RDBMS) is an established, database management system for production systems. The OpenEdge database can support thousands of users and high traffic loads with sub-second response times. It helps to ensure that users are productive, customers are satisfied, and, for SaaS/Cloud computing environments, service-level agreements are met. Some of the key benefits of OpenEdge RDBMS include cost-effectiveness, raises productivity, easy to administer, scalable, and easy to manage. Progress OpenEdge RDBMS has a large shared-memory buffer pool allows up to a terabyte of the database to be cached in memory in a 64-bit OS environment. This gives memory-speed access to the frequently used parts of the database for best performance. In addition, its storage or space management is extendable: architected for expansion and optimized for performance. As a result, OpenEdge RDBMS presents virtually no limitations to the amount of data that can be stored in a single database other than the storage limits of your own computing environment.
DuckDB is an in-process SQL OLAP database management system. Processing and storing tabular datasets, e.g., from CSV or Parquet files. Interactive data analysis, e.g., join & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g., appending rows, adding/removing/updating columns. Large result set transfer to client.
Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired.
