What Are Some Open-source Alternatives To Sap's Hana?

By Author: Igrowsoft
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SAP HANA is an in-memory, column-oriented relational database management system (RDBMS) designed for high-performance data processing and analytics. If you're looking for open-source alternatives with similar capabilities, here are some options:

1. PostgreSQL + Extensions (e.g., TimescaleDB, Citus, or PG-Strom)
.PostgreSQL is a powerful, open-source RDBMS that can be extended with features similar to SAP HANA.
.Citus: Enables horizontal scaling and real-time analytics.
.TimescaleDB: Optimized for time-series data.
.PG-Strom: Uses GPU acceleration for query performance.

2. Apache Pinot:
.A real-time, distributed OLAP datastore optimized for high-speed analytics on large-scale data.
.Supports in-memory and disk-based storage for fast performance.
.Used by companies like LinkedIn for real-time analytics.

3. DuckDB:
.An in-memory analytical database focused on OLAP workloads.
.Optimized for fast, complex queries on structured data.
.Great for local analytics without the need for a separate server.

4. ClickHouse:
.A high-performance, columnar ...
... database management system designed for analytics.
.Supports real-time query execution on large datasets.
.Widely used for log analytics, data warehousing, and big data applications.

5. Apache Druid:
.A real-time analytics database designed for high-speed query performance.
.Hybrid in-memory and disk-based storage model.
.Used in scenarios requiring low-latency data access and high availability.

6. MonetDB:
.A column-store database designed for high-performance analytical queries.
.Optimized for large-scale, complex queries on structured data.
.Good alternative for in-memory analytics workloads.

7. MariaDB ColumnStore:
.An extension of MariaDB that offers columnar storage and distributed processing.
.Can serve as an alternative for SAP HANA in analytics and big data use cases.
.Supports parallel query execution.

8. Apache Cassandra (with Spark):
.A NoSQL distributed database that can handle large-scale real-time data.
.When combined with Apache Spark, it enables fast analytics on large datasets.
.Suitable for use cases requiring high availability and distributed computing.

9. HyPer (Now Part of Tableau):
.Originally an open-source research project, it focused on real-time analytics.
.Some of its concepts influence modern analytical databases.
.While not directly available anymore, similar technology can be found in PostgreSQL extensions.

10. Greenplum:
.A massively parallel processing (MPP) database built on PostgreSQL.
.Optimized for analytics and data warehousing.
.Open-source under the Apache 2.0 license.