Develop and run apps using an enterprise-class open-source PostgresSQL database
Deploy on public, private clouds and on-premises
Increase productivity by easily creating, deploying and managing AI outcomes to automate and simplify business and customer-facing processes.
The next generation of EDB Postgres helps clients like you by providing solid, robust underlying data store which in turn provides a data fabric for faster, trusted AI outcomes.
Deploy and integrate across any environment needed by your business: cloud — public, private and hybrid; virtualized, containers and bare metal.
Get developer-friendly support for the latest programming languages and IDEs, such as JavaScript, JSON, Python, XML, and more.
Use your data type of choice. EDB Postgres handles most structured, semi-structured or unstructured data natively.
Support advanced analytics and AI models by running MongoDB Enterprise Advanced on IBM Cloud Pak for Data.
Use cases
Advanced queuing supports a range of application migrations from Oracle to EDB, including applications used for financial transactions, user profile data and system of record information.
Robust partitioning capabilities — including fast pruning for more data types and prepared statements — better enable EDB Postgres Advanced Server 9.6 to support clients with larger data sets.
Build more robust and flexible configurations using clustering, scale out and integration features. Use synchronous apply confirmation to build truly read scalable clusters.
Advanced queuing supports a range of application migrations from Oracle to EDB, including applications used for financial transactions, user profile data and system of record information.
Robust partitioning capabilities — including fast pruning for more data types and prepared statements — better enable EDB Postgres Advanced Server 9.6 to support clients with larger data sets.
Build more robust and flexible configurations using clustering, scale out and integration features. Use synchronous apply confirmation to build truly read scalable clusters.
Data ecosystems
The next generation of IBM Cloud Pak for Data provides a data fabric for faster, trusted AI outcomes. Connect the right data, at the right time, to the right people, from anywhere it’s needed.
SingleStore DB is a modern SQL database for data-intensive workloads. With near ubiquitous connectivity driving high-velocity, high-volume data workloads.
A robust, scalable, highly available document database solution that enables developers to build apps faster and better distribute data.
IBM open source database solutions help implement a hybrid data environment that includes both relational and non-relational components.