Key Factors to Choose Open Source Time Series Database
Deciding on the TSDB (Time Series Database) is hardly an easy task. Here are some key factors to consider:
- Scalability: Scalability is the component that allows a system to overcome high workloads. When it comes to Time Series Database (TSDB) expansion, your database must be able to handle this growth in the volume of your data.
- Performance: This means the speed of data writes and reads go from / to the database. This TSDB is able to keep up with the writes and reads which are large and to offer quick responses.
- Data Retention Policies: At the end of the time, huge data can appear to be produced from time series data. Among some TSDBs, you will be able to define retention policies that delete data after a given period of time.
- Query Language: The Query language is the means in which you undertake operations with the database by requesting for and modifying data. Query language which is both powerful and flexible supports several complex queries, hence, it becomes easier to generate useful insights from the data.
- Community Support: A community around an open-source TSDB might be a helpful source to go to. It can be a support, share the best practices, and update you time to time on the new features and changes that are released.
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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