Apache-Age
As a user-friendly extension to the Apache Spark ecosystem, Apache AGE provides an innovative way to execute complex graph queries directly on data stored in a PostgreSQL database. This open-source project, currently in the incubation stage, is being developed by the Apache Software Foundation.
What sets Apache AGE apart is that it eliminates the need for transferring data from PostgreSQL into a separate graph database. This not only streamlines the process of executing graph queries but also reduces the complexity and cost associated with managing multiple data storages.
With Apache AGE, users can perform sophisticated graph queries, including path queries, pattern matching, and subgraph queries, with greater ease and efficiency. The extension leverages Spark's distributed computing capabilities, making it a scalable solution for handling large datasets.
Overall, Apache AGE provides a powerful yet user-friendly solution for executing graph queries on PostgreSQL data. As a result, it has become a popular choice for data scientists, researchers, and developers looking to optimize their graph analytics workflows.
Apache-Age:-https://age.apache.org/
GitHub:-https://github.com/apache/age
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