InfluxDB vs RocksDB: What are the differences?
Developers describe InfluxDB as "An open-source distributed time series database with no external dependencies". InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.. On the other hand, RocksDB is detailed as "Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team". RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.
InfluxDB and RocksDB can be categorized as "Databases" tools.
Some of the features offered by InfluxDB are:
- Time-Centric Functions
- Scalable Metrics
On the other hand, RocksDB provides the following key features:
- Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
- Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
- Scales linearly with number of CPUs so that it works well on ARM processors
"Time-series data analysis" is the top reason why over 36 developers like InfluxDB, while over 2 developers mention "Very fast" as the leading cause for choosing RocksDB.
InfluxDB and RocksDB are both open source tools. It seems that InfluxDB with 16.7K GitHub stars and 2.38K forks on GitHub has more adoption than RocksDB with 14.3K GitHub stars and 3.12K GitHub forks.
According to the StackShare community, InfluxDB has a broader approval, being mentioned in 119 company stacks & 39 developers stacks; compared to RocksDB, which is listed in 6 company stacks and 7 developer stacks.
What is InfluxDB?
What is RocksDB?
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We use InfluxDB as a store for our data that gets fed into Grafana. It's ideal for this as it's a lightweight storage engine that can be modified on the fly by scripts without having to log into the server itself and manage tables. The HTTP API also makes it ideal for integrating with frontend services.
To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable
InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes.