The latest release lays a stronger foundation for enterprise-ready semantic AI – reducing operational overhead & ensuring long-term maintainability.
With PoolParty 10, we’ve re-architected the platform to be leaner, more scalable, and easier to operate in cloud-native environments. While the user interface feels familiar, the underlying changes deliver measurable benefits: faster performance, higher stability, and simplified deployment.
This release is about laying a stronger foundation for enterprise-ready semantic AI – reducing operational overhead today and ensuring long-term maintainability for the future.
What’s new at a glance
- Independent GraphDB service with cluster and HA support
- Externalized Apache Spark for smoother large-scale operations
- Performance gains: faster browsing, quicker classification, more concurrent users
- Cloud-agnostic deployment with lightweight containers, Docker Compose, and Helm charts
- Unified configuration across all components for predictable startup
- Streamlined APIs by merging Recommender and GraphSearch
- Migration tool available for PoolParty 9.7.x and newer
Faster, modernized, and easier to operate
PoolParty 10 is faster and more scalable thanks to the externalization of GraphDB and Apache Spark. By moving these heavy workloads out of the JVM, the platform now runs more efficiently while supporting more users in parallel. Together with a series of micro-optimizations – from refined SPARQL queries to lighter synchronization routines – users can expect project browsing to be around 20% quicker, classifier operations up to 50% faster, and overall system stability greatly improved.
Deployment has also been completely modernized. Instead of relying on installers, PoolParty 10 now ships as OCI-compliant container images that can be run via Docker Compose or Kubernetes Helm charts. This approach is OS-independent and cloud-agnostic, meaning the same setup works seamlessly across Linux, Windows, or macOS and in any cloud or on-premise environment. For DevOps teams, this makes deployments faster, portable, and easy to automate with CI/CD pipelines.
Other improvements include:
- Unified configuration management across all components for consistent startup behavior
- Recommender merged into GraphSearch, reducing overlapping APIs and simplifying maintenance
- A migration tool that supports upgrades from PoolParty 9.7.x onwards, ensuring a smooth transition
Why it matters
PoolParty 10 is more than a technical refresh – it’s a shift toward enterprise readiness and operational efficiency.
- For DevOps teams, the platform now behaves like a standard cloud-native application: lightweight containers, predictable configuration, and smooth integration into automated pipelines. This reduces the time and effort needed to deploy and maintain PoolParty, freeing teams to focus on higher-value tasks.
- For business users, the performance improvements translate into faster response times and more stable day-to-day use. Whether browsing projects, running classifiers, or working with larger datasets, the experience is more fluid and reliable.
- For enterprise IT, externalized services and cloud-agnostic deployment ensure long-term flexibility. PoolParty can scale with organizational needs, integrate with existing infrastructure, and operate confidently in hybrid or multi-cloud environments.
In short, PoolParty 10.0 is faster, easier to run, and built to scale – providing the solid foundation enterprises need for semantic AI initiatives.
These improvements also set the stage for the upcoming launch of the Graphwise AI Platform, a unified Graph AI environment that brings together PoolParty, GraphDB, and GraphRAG into one integrated ecosystem.
The new Graph AI Suite, to be unveiled at the Graphwise AI Summit (October 22–23), will demonstrate how these components work seamlessly to power trustworthy, scalable, and self-improving AI applications.
