Druid vs InfluxDB: What are the differences?
What is Druid? Fast column-oriented distributed data store. Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
What is 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..
Druid can be classified as a tool in the "Big Data Tools" category, while InfluxDB is grouped under "Databases".
"Real Time Aggregations" is the primary reason why developers consider Druid over the competitors, whereas "Time-series data analysis" was stated as the key factor in picking InfluxDB.
Druid and InfluxDB are both open source tools. InfluxDB with 16.7K GitHub stars and 2.38K forks on GitHub appears to be more popular than Druid with 8.31K GitHub stars and 2.08K GitHub forks.
trivago, Redox Engine, and Thumbtack are some of the popular companies that use InfluxDB, whereas Druid is used by Airbnb, Instacart, and Dial Once. InfluxDB has a broader approval, being mentioned in 119 company stacks & 39 developers stacks; compared to Druid, which is listed in 24 company stacks and 12 developer stacks.
What is Druid?
What is InfluxDB?
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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.