Google Cloud SQL vs InfluxDB: What are the differences?
Google Cloud SQL: Store and manage data using a fully-managed, relational MySQL database. MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs; 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..
Google Cloud SQL can be classified as a tool in the "SQL Database as a Service" category, while InfluxDB is grouped under "Databases".
Some of the features offered by Google Cloud SQL are:
- Familiar Infrastructure
- Flexible Charging
- Security, Availability, Durability
On the other hand, InfluxDB provides the following key features:
- Time-Centric Functions
- Scalable Metrics
"Fully managed" is the top reason why over 12 developers like Google Cloud SQL, while over 35 developers mention "Time-series data analysis" as the leading cause for choosing 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.
According to the StackShare community, InfluxDB has a broader approval, being mentioned in 116 company stacks & 38 developers stacks; compared to Google Cloud SQL, which is listed in 71 company stacks and 28 developer stacks.
What is Google Cloud SQL?
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.