Using Apache AGE with other Postgres extensions:
Apache AGE can be used in conjunction with other Postgres extensions to provide additional functionality. For example, the PostGIS extension can be used to handle spatial data, while the TimescaleDB extension can be used to handle time-series data.
Apache AGE can also be used with the JSONB extension in Postgres to store and query JSON data within a graph structure.
By using Apache AGE with other Postgres extensions, you can build a powerful and flexible data management system that can handle a wide variety of data types and use cases. what is suitbale title for this blog
Summary
In conclusion, Apache AGE is a powerful and flexible graph database that is built on top of the reliable and scalable Postgres infrastructure. It provides efficient storage and query capabilities for large and complex graph structures, making it an ideal solution for organizations with data-intensive operations. With its support for indexes, efficient query design, caching, and data partitioning, Apache AGE is optimized for performance and scalability. Moreover, by leveraging other Postgres extensions, Apache AGE can provide additional functionality for handling spatial, time-series, and JSON data. By integrating Apache AGE into their data management systems, organizations can gain powerful insights into their operations and make faster, more informed decisions.
Apache-Age:-https://age.apache.org/
GitHub:-https://github.com/apache/age
Top comments (2)
Very informative post! Great writing.
my question is : how is disk space consumption of graphs compared to other systems and also compared to regular postgres tables / databases ?