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Top 5 Java Distributed Database Projects
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Regarding the storage aspect of vector databases, it is noteworthy that indexing techniques take precedence over the choice of underlying storage. In fact, many databases have the capability to incorporate indexing modules directly, enabling efficient vector search. Existing OLAP databases that are designed for real-time analytics and utilizing columnar storage, such as ClickHouse, Apache Pinot, and Apache Druid, already demonstrate impressive data compression rates. When it comes to vector data, which typically comprises a significant number of dimensions, the adoption of columnar storage for continuous storage of data pertaining to the same dimensions greatly enhances storage efficiency and query performance.Furthermore, columnar databases excel in optimizing operations at the column level, including vector similarity calculations and aggregation operations.
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Project mention: Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored | dev.to | 2025-04-10
Cassandra: Cassandra is a highly scalable and fault-tolerant NoSQL database. It is designed to handle large amounts of data across multiple commodity servers, making it suitable for high-availability and data-intensive applications.
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HBase — Distributed, scalable, big data store.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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A note from our sponsor - InfluxDB
www.influxdata.com | 23 May 2025
Index
What are some of the best open-source Distributed Database projects in Java? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | Druid | 13,702 |
| 2 | Apache Cassandra | 9,201 |
| 3 | Apache HBase | 5,343 |
| 4 | OpenTSDB | 5,039 |
| 5 | scalardb | 547 |
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