Elasticsearch vs InfluxDB: What are the differences?
Elasticsearch: Open Source, Distributed, RESTful Search Engine. Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack); InfluxDB: 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..
Elasticsearch can be classified as a tool in the "Search as a Service" category, while InfluxDB is grouped under "Databases".
Some of the features offered by Elasticsearch are:
- Distributed and Highly Available Search Engine.
- Multi Tenant with Multi Types.
- Various set of APIs including RESTful
On the other hand, InfluxDB provides the following key features:
- Time-Centric Functions
- Scalable Metrics
"Powerful api" is the primary reason why developers consider Elasticsearch over the competitors, whereas "Time-series data analysis" was stated as the key factor in picking InfluxDB.
Elasticsearch and InfluxDB are both open source tools. Elasticsearch with 42.4K GitHub stars and 14.2K forks on GitHub appears to be more popular than InfluxDB with 16.7K GitHub stars and 2.39K GitHub forks.
Uber Technologies, Instacart, and Slack are some of the popular companies that use Elasticsearch, whereas InfluxDB is used by trivago, Redox Engine, and Thumbtack. Elasticsearch has a broader approval, being mentioned in 2003 company stacks & 979 developers stacks; compared to InfluxDB, which is listed in 120 company stacks and 39 developer stacks.