InfluxDB alternatives and similar tools
Based on the "Metric & Metric Collection" category.
Alternatively, view InfluxDB alternatives based on common mentions on social networks and blogs.
9.9 10.0 InfluxDB VS GrafanaThe open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
9.8 9.8 InfluxDB VS PrometheusThe Prometheus monitoring system and time series database.
9.1 9.9 InfluxDB VS TelegrafThe plugin-driven server agent for collecting & reporting metrics.
9.1 9.9 InfluxDB VS Packetbeat:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash
7.9 0.0 L4 InfluxDB VS FreeboardA damn-sexy, open source real-time dashboard builder for IOT and other web mashups. A free open-source alternative to Geckoboard.
7.0 7.1 L3 InfluxDB VS CollectdThe system statistics collection daemon. Please send Pull Requests here!
6.0 4.1 L3 InfluxDB VS DiamondDiamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
3.5 0.0 L3 InfluxDB VS PGObserverA battle-tested, flexible & comprehensive monitoring solution for your PostgreSQL databases
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of InfluxDB or a related project?
InfluxDB is an open source time series platform. This includes APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes, user dashboards, and visualizing and exploring the data and more. The master branch on this repo now represents the latest InfluxDB, which now includes functionality for Kapacitor (background processing) and Chronograf (the UI) all in a single binary.
The list of InfluxDB Client Libraries that are compatible with the latest version can be found in our documentation.
If you are looking for the 1.x line of releases, there are branches for each minor version as well as a
master-1.x branch that will contain the code for the next 1.x release. The master-1.x working branch is here. The InfluxDB 1.x Go Client can be found here.
We have nightly and versioned Docker images, Debian packages, RPM packages, and tarballs of InfluxDB available at the InfluxData downloads page. We also provide the
influx command line interface (CLI) client as a separate binary available at the same location.
If you are interested in building from source, see the [building from source](CONTRIBUTING.md#building-from-source) guide for contributors.
For a complete getting started guide, please see our full online documentation site.
To write and query data or use the API in any way, you'll need to first create a user, credentials, organization and bucket. Everything in InfluxDB is organized under a concept of an organization. The API is designed to be multi-tenant. Buckets represent where you store time series data. They're synonymous with what was previously in InfluxDB 1.x a database and retention policy.
The simplest way to get set up is to point your browser to http://localhost:8086 and go through the prompts.
You can also get set up from the CLI using the command
$ bin/$(uname -s | tr '[:upper:]' '[:lower:]')/influx setup Welcome to InfluxDB 2.0! Please type your primary username: marty Please type your password: Please type your password again: Please type your primary organization name.: InfluxData Please type your primary bucket name.: telegraf Please type your retention period in hours. Or press ENTER for infinite.: 72 You have entered: Username: marty Organization: InfluxData Bucket: telegraf Retention Period: 72 hrs Confirm? (y/n): y UserID Username Organization Bucket 033a3f2c5ccaa000 marty InfluxData Telegraf Your token has been stored in /Users/marty/.influxdbv2/credentials
You can run this command non-interactively using the
-f, --force flag if you are automating the setup.
Some added flags can help:
$ bin/$(uname -s | tr '[:upper:]' '[:lower:]')/influx setup \ --username marty \ --password F1uxKapacit0r85 \ --org InfluxData \ --bucket telegraf \ --retention 168 \ --token where-were-going-we-dont-need-roads \ --force
Once setup is complete, a configuration profile is created to allow you to interact with your local InfluxDB without passing in credentials each time. You can list and manage those profiles using the
influx config command.
$ bin/$(uname -s | tr '[:upper:]' '[:lower:]')/influx config Active Name URL Org * default http://localhost:8086 InfluxData
Write to measurement
m, with tag
v=2, in bucket
telegraf, which belongs to organization
$ bin/$(uname -s | tr '[:upper:]' '[:lower:]')/influx write --bucket telegraf --precision s "m v=2 $(date +%s)"
Since you have a default profile set up, you can omit the Organization and Token from the command.
Write the same point using
curl --header "Authorization: Token $(bin/$(uname -s | tr '[:upper:]' '[:lower:]')/influx auth list --json | jq -r '..token')" \ --data-raw "m v=2 $(date +%s)" \ "http://localhost:8086/api/v2/write?org=InfluxData&bucket=telegraf&precision=s"
Read that back with a simple Flux query:
$ bin/$(uname -s | tr '[:upper:]' '[:lower:]')/influx query 'from(bucket:"telegraf") |> range(start:-1h)' Result: _result Table: keys: [_start, _stop, _field, _measurement] _start:time _stop:time _field:string _measurement:string _time:time _value:float ------------------------------ ------------------------------ ---------------------- ---------------------- ------------------------------ ---------------------------- 2019-12-30T22:19:39.043918000Z 2019-12-30T23:19:39.043918000Z v m 2019-12-30T23:17:02.000000000Z 2
-r, --raw option to return the raw flux response from the query. This is useful for moving data from one instance to another as the
influx write command can accept the Flux response using the
--format csv option.
Script with Flux
Flux (previously named IFQL) is an open source functional data scripting language designed for querying, analyzing, and acting on data. Flux supports multiple data source types, including:
- Time series databases (such as InfluxDB)
- Relational SQL databases (such as MySQL and PostgreSQL)
Contribute to the Project
InfluxDB is an [MIT licensed](LICENSE) open source project and we love our community. The fastest way to get something fixed is to open a PR. Check out our [contributing](CONTRIBUTING.md) guide if you're interested in helping out. Also, join us on our Community Slack Workspace if you have questions or comments for our engineering teams.
CI and Static Analysis
All pull requests will run through CI, which is currently hosted by Circle. Community contributors should be able to see the outcome of this process by looking at the checks on their PR. Please fix any issues to ensure a prompt review from members of the team.
The InfluxDB project is used internally in a number of proprietary InfluxData products, and as such, PRs and changes need to be tested internally. This can take some time, and is not really visible to community contributors.
This project uses the following static analysis tools. Failure during the running of any of these tools results in a failed build. Generally, code must be adjusted to satisfy these tools, though there are exceptions.
- go vet checks for Go code that should be considered incorrect.
- go fmt checks that Go code is correctly formatted.
- go mod tidy ensures that the source code and go.mod agree.
- staticcheck checks for things like: unused code, code that can be simplified, code that is incorrect and code that will have performance issues.
If your PR fails
staticcheck it is easy to dig into why it failed, and also to fix the problem.
First, take a look at the error message in Circle under the
staticcheck build section, e.g.,
tsdb/tsm1/encoding.gen.go:1445:24: func BooleanValues.assertOrdered is unused (U1000) tsdb/tsm1/encoding.go:172:7: receiver name should not be an underscore, omit the name if it is unused (ST1006)
Next, go and take a look here for some clarification on the error code that you have received, e.g.,
The docs will tell you what's wrong, and often what you need to do to fix the issue.
Sometimes generated code will contain unused code or occasionally that will fail a different check.
staticcheck allows for entire files to be ignored, though it's not ideal.
A linter directive, in the form of a comment, must be placed within the generated file.
This is problematic because it will be erased if the file is re-generated.
Until a better solution comes about, below is the list of generated files that need an ignores comment.
If you re-generate a file and find that
staticcheck has failed, please see this list below for what you need to put back:
|query/promql/promql.go||//lint:file-ignore SA6001 Ignore all unused code, it's generated|
CI also runs end-to-end tests. These test the integration between the
influxd server the UI.
Since the UI is used by interal repositories as well as the
influxdb repository, the
end-to-end tests cannot be run on forked pull requests or run locally. The extent of end-to-end
testing required for forked pull requests will be determined as part of the review process.
*Note that all licence references and agreements mentioned in the InfluxDB README section above are relevant to that project's source code only.