Examples of Scalable Open Source Time Series Databases
Here are a few open source TSDBs that are known for their scalability:
- InfluxDB: InfluxDB is a scalable (high-performance) data store built for time series data. It is highly tuned for rapid, high-availability input/output functions in relation to time series data. InfluxDB comes with a high ingestion throughput, compression, querying and real-time capabilities.
- TimescaleDB: TimescaleDB is an open-source database with the goal of allow SQL to scale on time-series data. It is an inheritance from PostgreSQL, thus, all benefits of PostgreSQL such as reliability, robustness and performance are in it.
- OpenTSDB: As an open source distributed and scalable time series database, OpenTSDB is known as OTS. It is developed on the base of HBase and intended to provide fine tracking of metrics in big data scenarios without losing granularity as time goes on. With OpenTSDB, users can get access to variety of options for extracting, manipulating, and analyzing data.
How to Choose a Scalable Open Source Time Series Database
In today’s world, we use a lot of devices and systems that generate a ton of data over time. For example, think about the weather reports you see every day, the steps counted by your fitness tracker, or the information about how many people visit a website. All of this data is called time series data because it’s recorded with a timestamp, showing when each piece of information was collected.
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