MapD vs TimescaleDB: What are the differences?
What is MapD? Open source GPU-Powered Database. Interactively query and visualize massive datasets with the parallel power of GPUs.
What is TimescaleDB? Scalable time-series database optimized for fast ingest and complex queries. Purpose-built as a PostgreSQL extension. TimescaleDB is the only open-source time-series database that natively supports full-SQL at scale, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL databases.
MapD and TimescaleDB can be categorized as "Databases" tools.
Some of the features offered by MapD are:
- column store
On the other hand, TimescaleDB provides the following key features:
- Packaged as a PostgreSQL extension
- Full ANSI SQL
- JOINs (e.g., across PostgreSQL tables)
MapD and TimescaleDB are both open source tools. It seems that TimescaleDB with 7.28K GitHub stars and 385 forks on GitHub has more adoption than MapD with 1.91K GitHub stars and 271 GitHub forks.
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What is MapD?
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