Time Series Databases¶
Description |
Databases with a focus on event data with an associated timestamp, as seen in domains such as the Internet of Things or system monitoring. Such databases may have performance and storage optimizations for such data. They may use SQL, extensions of SQL, or specialized languages for their queries. |
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Projects |
13 |
Lines Committed vs. Age Chart (click to view) |
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Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
1.75 |
3.0 |
Beringei is a high performance, in-memory storage engine for time series data. |
|
2.0 |
5.0 |
Real-time Monitoring and Analysis of Data Streams |
|
7.5 |
4.5 |
A horizontally scalable, highly available, multi-tenant, long term Prometheus. |
|
7.25 |
2.75 |
Scalable datastore for metrics, events, and real-time analytics |
|
7.75 |
8.75 |
IoTDB (Internet of Things Database) is a data management system for time series data, which can provide users specific services, such as, data collection, storage and analysis. |
|
5.25 |
3.25 |
Fast scalable time series database |
|
6.75 |
6.0 |
LinDB is a scalable, high performance, high availability distributed time series database. |
|
4.75 |
2.75 |
A scalable, distributed Time Series Database. |
|
6.5 |
7.0 |
Apache Pinot (Incubating) - A realtime distributed OLAP datastore |
|
1.75 |
4.5 |
PinusDB, a time series database, is designed to target small to medium size projects, less than 100,000 devices and less than 1 billion messages per day. |
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6.75 |
6.75 |
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension. |
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7.5 |
7.0 |
VictoriaMetrics: fast, cost-effective monitoring solution and time series database |
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2.25 |
2.5 |
Whisper is a file-based time-series database format for Graphite. |