TimescaleDB
TDengine
| TimescaleDB | TDengine | |
|---|---|---|
| 88 | 183 | |
| 17,662 | 23,313 | |
| 1.7% | 0.5% | |
| 9.8 | 10.0 | |
| 2 days ago | about 6 hours ago | |
| C | C | |
| GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TimescaleDB
- The Rise of Open Source Time Series Databases
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K1 Buys MariaDB
> based on the time period
Is it the kind of thing where the TimescaleDB extension would make sense?
https://github.com/timescale/timescaledb
- TimescaleDB: PostgreSQL Extension for Fast Time-Series Data
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List of 45 databases in the world
Timescale — Open-source time-series SQL database optimized for fast ingest and complex queries.
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pg_timeseries: Open-source time-series extension for PostgreSQL
Compression and other features use the non-Apache license:
https://github.com/timescale/timescaledb/tree/main/tsl
- TimescaleDB: An open-source time-series SQL database
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Google Cloud Spanner is now half the cost of Amazon DynamoDB
Don't forget PostgreSQL extensions. For something like a chat log, TimescaleDB (https://www.timescale.com/) can be surprisingly efficient. It will handle partitioning for you, with additional features like data reordering, compression, and retention policies.
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How to setup Postgres master-master cluster.
Offboard it to Postgres specialists like https://www.timescale.com/
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How to Choose the Right MQTT Data Storage for Your Next Project
TimescaleDB{:target="_blank"}: an extension of PostgreSQL that adds time-series capabilities to the relational database model. It provides scalability and performance optimizations for handling large volumes of time-stamped data while maintaining the flexibility of a relational database.
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Why does the presence of a large write-only table in a PostgreSQL database cause severe performance degradation?
Have some experience with https://www.timescale.com in this context
TDengine
What are some alternatives?
ClickHouse - ClickHouse® is a real-time analytics DBMS
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
QuestDB - QuestDB is an open source time-series database for fast ingest and SQL queries
GORM - The fantastic ORM library for Golang, aims to be developer friendly
fpart - Sort files and pack them into partitions
temporal_tables - Temporal Tables PostgreSQL Extension
bg_mon - Background worker for monitoring PostgreSQL
pgbouncer - lightweight connection pooler for PostgreSQL
griddb - GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
Telegraf - Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
PipelineDB - High-performance time-series aggregation for PostgreSQL