Datalevin 1.1.0 combines fast durable transactions with leading results on relational, graph, document, and logical workloads. Six charts show the measurements, their scope, and the remaining gaps.

Introducing Datalevin 1.0.0 for application state and agent memory, with relational, graph, document, logical, full-text, and vector capabilities.

Examining SQLite's performance on complex queries and why join optimization deserves attention alongside the usual deployment and concurrency trade-offs.

Progress on Datalevin's rule engine, storage, and queries brings relational, graph, and deductive workloads closer together in a single triplestore.

How Datalevin uses adaptive batching and asynchronous transactions to improve write throughput and latency, with benchmarks examining the trade-offs.

How Datalevin's triplestore became competitive with PostgreSQL on the Join Order Benchmark, with a look at Datalog and complex query optimization.