InfluxDB Open Source vs InfluxDB 3.0

Use this guide to understand the differences between InfluxDB Open Source and InfluxDB 3.0 and discover which database is the best fit for your organization.

InfluxDB is purpose-built for handling time series data at massive scale for real-time analytics.

InfluxDB is a purpose built, high performance time series database that supports rapid data ingestion at scale and low latency query responses making it ideal for use cases such as monitoring the performance of IT networks and infrastructure, monitoring the health of IoT devices, and analyzing financial data.

With the release of InfluxDB 3.0, one of the big questions is: how does it compare to previous versions of InfluxDB?

This side-by-side comparison of InfluxDB Open Source vs the 3.0 engine highlights the key differences between these databases so you can choose the solution that best meets your needs.

Data Ingest Performance

Results represent 21.5 hours of metrics reported from varying load of Telegraf instances.

Data Ingest Performance

Storage Performance

The cost saving is maximized because InfluxDB 3.0 uses object storage which is cheaper than the SSD (Solid State Devices) based storage used by InfluxDB OSS.

Storage Size on Disk

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Query Performance Observations

Query Performance – Aggregate Query Types

Queries that output aggregate values (e.g. count, sum, min, max etc.) derived from selected rows.

Query Performance – Aggregate Query Types

Query Performance – Group by / Order by Query Types

Queries that output aggregate values (e.g. count, sum, min, max etc.) derived from selected rows.

Query Performance – Group by Order by Query Types

Query Performance – Limit / Top / Bottom Query Types

Queries return only the rows specified by LIMIT or TOP or BOTTOM condition.

Query Performance – Limit-Top-Bottom Query Types

Query Performance – Statistic / Math Query Types

Queries that perform math (e.g. mode, median, etc.) or statistical (e.g. spread, stddev, percentile, etc.) functions on the rows selected.

Query Performance – Statistic-Math Query Types

Trusted by more than half a million users

We decided, from a monitoring perspective, that we are going with a best of breed setup. So, we put the best tools in place, like InfluxDB for metrics monitoring.
Daniel Putz,
DevOps Enablement, Volvo
InfluxDB is a high-speed read and write database. The data is being written in real time, you can read in real time, and when you’re reading it, you can apply your machine learning model. So, in real time, you can forecast, and you can detect anomalies.
Rajeev Tomer,
Sr. Manager of Data Engineering,
Capital One
I cannot tell you how much we reach out to InfluxData Technical Support, which has been really, really, really helpful to help us out in time of need.
Dennis Brazil,
SRE Monitoring, PayPal

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