In GraphDB 8.10, Ontotext has also improved and optimized the semantic graph database’s performance with plugin and connector parallelization. This parallelization increases the performance of connectors and plugins during creation, rebuilding and updating when the engine detects free CPU cores. The plugin manager spans multiple threads and notifies the plugins in parallel at the end of each transaction, instead of serially. The connector parallelization also increases performance during the initial indexing and in incremental indexing when users add or remove data to the repository.
The latest version of GraphDB also enhances semantic similarity searches by introducing Locality-Sensitive Hashing algorithms for similarity indexes. These algorithms improve the quality of topic suggestions by evaluating the GraphDB semantic vectors.
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For more information, contact Doug Kimball, Chief Marketing Officer at Ontotext