Tentris Information

TentrisDB drastically reduces RAM consumption by executing analytical graph queries in a fundamentally different way than traditional graph databases. Instead of binary join chains that materialize large intermediate results, Tentris uses worst-case optimal multi-way joins that evaluate all relations simultaneously. This avoids memory-intensive intermediate results, keeps memory usage predictable, and enables efficient evaluation of complex graph patterns; reducing memory requirements from tens of GBs to MBs. Combined with a compressed Hypertrie index and streaming execution, this approach delivers much higher performance, running complex analytical workloads in seconds instead of hours. These properties are essential for Enterprise AI, which demands fast, explainable queries at scale. Query more. Wait less.