Azure Cosmos DB vs InfluxDB: What are the differences?
Azure Cosmos DB: A fully-managed, globally distributed NoSQL database service. Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development; 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..
Azure Cosmos DB and InfluxDB are primarily classified as "NoSQL Database as a Service" and "Databases" tools respectively.
Some of the features offered by Azure Cosmos DB are:
- Fully managed with 99.99% Availability SLA
- Elastically and highly scalable (both throughput and storage)
- Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes
On the other hand, InfluxDB provides the following key features:
- Time-Centric Functions
- Scalable Metrics
"Best-of-breed NoSQL features" is the primary reason why developers consider Azure Cosmos DB over the competitors, whereas "Time-series data analysis" was stated as the key factor in picking InfluxDB.
InfluxDB is an open source tool with 16.6K GitHub stars and 2.37K GitHub forks. Here's a link to InfluxDB's open source repository on GitHub.
Impossible Software, SimpleCrypto, and capscale are some of the popular companies that use InfluxDB, whereas Azure Cosmos DB is used by Microsoft, Rumble, and Property With Potential. InfluxDB has a broader approval, being mentioned in 116 company stacks & 38 developers stacks; compared to Azure Cosmos DB, which is listed in 24 company stacks and 23 developer stacks.
What is Azure Cosmos DB?
What is InfluxDB?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to add, upvote and see more prosMake informed product decisions
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
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.
If you need a document-based database with geo-redundancy (imagine AU-HU distance), this is the way to go.