Atlas-DB vs InfluxDB: What are the differences?
What is Atlas-DB? Backend for managing dimensional time series data, by Netflix. Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.
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..
Atlas-DB and InfluxDB are primarily classified as "Database" and "Databases" tools respectively.
Some of the features offered by Atlas-DB are:
- Manages dimensional time series data
- In-memory data storage
- Captures operational intelligence
On the other hand, InfluxDB provides the following key features:
- Time-Centric Functions
- Scalable Metrics
Atlas-DB and InfluxDB are both open source tools. It seems that InfluxDB with 16.6K GitHub stars and 2.37K forks on GitHub has more adoption than Atlas-DB with 2.37K GitHub stars and 201 GitHub forks.
What is Atlas-DB?
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.