Apache IoTDB is a free, open source databases project written in Java and released under Apache-2.0. It has 6,425 GitHub stars, 1,163 forks and 734 open issues, and was last pushed 11 hours ago. On this registry it ranks #124 of 206 tracked projects in Databases, with 5 head-to-head comparisons available. It gained 21 stars over the last 30 tracked days.

What is Apache IoTDB?

Apache IoTDB is an Apache-2.0 licensed time-series database written in Java that handles collection, storage, and analysis of industrial IoT time-series data, built for teams that must ingest high-throughput readings from very large fleets of devices and analyse them without leaving the Hadoop and Spark tooling they already run.

What it is

Apache IoTDB is a data management system for time-series data that provides data collection, storage, and analysis in one system. It is written in Java and targets Java 17 and above, and it runs on Windows, macOS, and Linux. Its storage layer is built on TsFile, a columnar file format designed specifically for time-series data; the iotdb branch of the separate TsFile project is used to publish the SNAPSHOT version for IoTDB. The project is catalogued under Infrastructure & Operations / Databases and carries the topics big-data, database, iot, java, nosql, timeseries, and tsdb. It is developed in the open under the Apache umbrella, with 6,400 stars and 1,157 forks on GitHub, and it routes bugs and feature requests through the Apache Jira instance at issues.apache.org/jira/projects/IOTDB/issues.

The concrete problem it addresses is the industrial IoT requirement set named in its own overview: massive dataset storage, high-throughput data input, and complex data analysis over device telemetry. It organises the complex time-series structures that come off intelligent networking devices, keeps the storage footprint low through a high compression ratio on disk, and performs time alignment and aggregation across devices and measurements. It sits inside the Hadoop and Spark analysis ecosystem rather than beside it, and it integrates with visualization tools such as Grafana.

Key capabilities

  • TsFile-based columnar storage with a high compression ratio, which lowers hardware cost for long-retention device data.
  • SQL-like query language, a JDBC standard API, and bundled import and export tools.
  • Rich query semantics: time alignment for series across devices and measurements, computation within the time-series field including frequency-domain transformation, and aggregation functions along the time dimension.
  • Flexible deployment through a one-click installation tool for either a cloud platform or a terminal device, plus a data synchronization tool that bridges data between cloud and terminals.
  • Efficient directory structure that groups series from devices of the same type and supports fuzzy searching across very large series directories.
  • High-throughput read and write designed for concurrent access from millions of low-power devices, including mixed device fleets.
  • Seamless integration with Hadoop and Spark for analysis, and with Grafana for visualization.

Who uses it and how

  • Industrial IoT operators that collect telemetry from large fleets of low-power devices and need to store it cheaply while keeping read and write throughput high.
  • Deployments split between cloud and edge: the one-click installer runs on a cloud platform or a terminal device, and the synchronization tool moves data between the two tiers.
  • Data teams already running Hadoop or Spark that want time-series storage to sit alongside existing analysis jobs instead of in a separate silo.
  • Operations teams that visualize device metrics in Grafana and query the database from JVM applications through the JDBC API.
  • Users who need bulk movement of historical data in or out of the store, handled by the bundled import and export tools.

Getting started

The README provides Quick Start, Prerequisites, and Installation sections, and installation itself is offered through a one-click installation tool that can target either a cloud platform or a terminal device. The project requires Java 17 or later, runs on Windows, macOS, and Linux, and publishes artifacts to Maven Central under org.apache.iotdb:iotdb-parent, with documentation and downloads at https://iotdb.apache.org/.

How it compares

No list of paid or comparable products is provided in the facts for this entry, and the README names Hadoop, Spark, and Grafana only as analysis and visualization integrations rather than as alternatives to the database itself. On the evidence available, Apache IoTDB stands alone in this registry rather than being positioned against named competitors.

When to use it — and when not to

Choose it when the workload is genuinely time-series device telemetry at scale and the team is comfortable running a self-deployed Java service; the README describes installation on a cloud platform or a terminal device, so no managed hosted option is implied and the operator carries the deployment. Prospective users should weigh two signals from the repository: 734 open issues, which indicates a large and busy tracker, and an issue-reporting route that runs through Apache Jira rather than GitHub, which is an extra step for teams used to GitHub-native workflows. Teams that need zero operational involvement, or whose data is not time-series device data, should look elsewhere.

project readme (upstream, from github) — read inline

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IoTDB

Unit-Test codecov GitHub release License IoTDB Website Maven Central Gitpod Ready-to-Code Slack Status

Overview

IoTDB (Internet of Things Database) is a data management system for time series data, which provides users with specific services, including data collection, storage and analysis. Due to its lightweight structure, high performance and usable features, together with its seamless integration with the Hadoop and Spark ecosystem, IoTDB meets the requirements of massive dataset storage, high throughput data input, and complex data analysis in the industrial IoT field.

Click for More Information

IoTDB depends on TsFile which is a columnar storage file format designed for time series data. The branch iotdb of TsFile project is used to deploy SNAPSHOT version for IoTDB project.

Main Features

The main features of IoTDB are as follows:

  1. Flexible deployment strategy. IoTDB provides users with a one-click installation tool on either the cloud platform or the terminal devices, and a data synchronization tool bridging the data on cloud platform and terminals.
  2. Low cost on hardware. IoTDB can reach a high compression ratio of disk storage.
  3. Efficient directory structure. IoTDB supports efficient organization for complex time series data structures from intelligent networking devices, organization for time series data from devices of the same type, and fuzzy searching strategy for massive and complex directory of time series data.
  4. High-throughput read and write. IoTDB supports millions of low-power devices' strong connection data access, high-speed data read and write for intelligent networking devices and mixed devices mentioned above.
  5. Rich query semantics. IoTDB supports time alignment for time series data across devices and measurements, computation in time series field (frequency domain transformation) and rich aggregation function support in time dimension.
  6. Easy to get started. IoTDB supports SQL-like language, JDBC standard API and import/export tools which are easy to use.
  7. Seamless integration with state-of-the-practice Open Source Ecosystem. IoTDB supports analysis ecosystems, such as Hadoop and Spark, as well as visualization tools, such as Grafana.

For the latest information about IoTDB, please visit IoTDB official website. If you encounter any problems or identify any bugs while using IoTDB, please report an issue in Jira.

Outline

Quick Start

This short guide will walk you through the basic process of using IoTDB. For a more detailed introduction, please visit our website's User Guide.

Prerequisites

To use IoTDB, you need to have:

  1. Java >= 17 (17 to 25 are verified. Please make sure the environment path has been set accordingly).
  2. Maven >= 3.6 (If you want to compile and install IoTDB from source code).
  3. Set the max open files num as 65535 to avoid the "too many open files" error.
  4. (Optional) Set the somaxconn as 65535 to avoid "connection reset" error when the system is under high load.
    # Linux
    > sudo sysctl -w net.core.somaxconn=65535
    
    # FreeBSD or Darwin
    > sudo sysctl -w kern.ipc.somaxconn=65535
    

⚠️ Important: System Resource Limits

IoTDB requires sufficient system resource limits to start correctly. If these limits are not configured, IoTDB may fail to start or emit warnings such as "too many open files" or "connection reset" in the logs.

Linux / macOS

ulimit -n 65535
sudo sysctl -w net.core.somaxconn=65535

Docker Users When running IoTDB in Docker, these limits must be applied on the host machine or explicitly passed to the container:

docker run --ulimit nofile=65535:65535 ...

Windows Users These commands are not applicable on Windows. Please follow the Windows installation steps below and ensure sufficient system resources.

Linux

(This guide is based on an installation of Ubuntu 22.04.)

Git

Make sure Git is installed, if it's missing, simply install it via:

sudo apt install git
Java

Make sure Java is installed, if it's missing, simply install it via:

sudo apt install default-jdk
Flex
sudo apt install flex
Bison
sudo apt install bison
Boost
sudo apt install libboost-all-dev
OpenSSL header files

Usually OpenSSL is already installed, however it's missing the header files we need to compile. So ensure these are installed:

sudo apt install libssl-dev

Mac OS

Git

First ensure git works.

Usually on a new Mac, as soon as you simply type git in a Terminal window, a popup will come up and ask if you want to finish installing the Mac developer tools. Just say yes. As soon as this is finished, you are free to use git.

Homebrew

Then install Homebrew - If this hasn't been installed yet, as we are going to be installing everything using Homebrew.

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
Java

As soon as that's done install Java, if this hasn't been installed yet:

brew install java

Depending on your version of Homebrew, it will tell you to do one of the following (depending on the type of processor in your device).

Mainly on the Intel-based models:

sudo ln -sfn /usr/local/opt/openjdk/libexec/openjdk.jdk /Library/Java/JavaVirtualMachines/openjdk.jdk

Mainly on the ARM-based models:

sudo ln -sfn /opt/homebrew/opt/openjdk/libexec/openjdk.jdk /Library/Java/JavaVirtualMachines/openjdk.jdk
CPP Prerequisites

Building Thrift requires us to add two more dependencies to the picture.

This however is only needed when enabling the with-cpp profile:

brew install boost
brew install bison
brew install openssl

Windows

Chocolatey

Then install Chocolatey - If this hasn't been installed yet, as we are going to be installing everything using Chocolatey.

https://chocolatey.org/install

Git
choco install git.install
Java
choco install openjdk
Visual Studio 19 2022
choco install visualstudio2022community
choco install visualstudio2022buildtools
choco install visualstudio2022-workload-nativedesktop
Flex / Bison
choco install winflexbison
Boost
choco install boost-msvc-14.2
OpenSSL
choco install openssl

Installation

IoTDB provides three installation methods, you can refer to the following suggestions, choose the one fits you best:

  • Installation from source code. If you need to modify the code yourself, you can use this method.
  • Installation from binary files. Download the binary files from the official website. This is the recommended method, in which you will get a binary released package which is out-of-the-box.
  • Using Docker:The path to the dockerfile is here.

Here in the Quick Start, we give a brief introduction of using source code to install IoTDB. For further information, please refer to User Guide.

Build from source

Prepare Thrift compiler

Skip this chapter if you are using Windows.

As we use Thrift for our RPC module (communication and protocol definition), we involve Thrift during the compilation, so Thrift compiler 0.13.0 (or higher) is required to generate Thrift Java code. Thrift officially provides binary compiler for Windows, but unfortunately, they do not provide that for Unix OSs.

If you have permission to install new software, use apt install or yum install or brew install to install the Thrift compiler. (If you already have installed the thrift compiler, skip this step.) Then, you may add the following parameter when running Maven: -Dthrift.download-url=http://apache.org/licenses/LICENSE-2.0.txt -Dthrift.exec.absolute.path=.

If not, then you have to compile the thrift compiler, and it requires you install a boost library first. Therefore, we compiled a Unix compiler ourselves and put it onto GitHub, and with the help of a maven plugin, it will be downloaded automatically during compilation. This compiler works fine with gcc8 or later, Ubuntu MacOS, and CentOS, but previous versions and other OSs are not guaranteed.

If you can not download the thrift compiler automatically because of a network problem, you can download it by yourself, and then either: rename your thrift file to {project_root}\thrift\target\tools\thrift_0.12.0_0.13.0_linux.exe; or, add Maven commands: -Dthrift.download-url=http://apache.org/licenses/LICENSE-2.0.txt -Dthrift.exec.absolute.path=.

Compile IoTDB

You can download the source code from:

git clone https://github.com/apache/iotdb.git

The default dev branch is the master branch, if you want to use a released version x.x.x:

git checkout vx.x.x

Or checkout to the branch of a big version, e.g., the branch of 1.0 is rel/1.0.

git checkout rel/x.x

Build IoTDB from source

Under the root path of iotdb:

> mvn clean package -pl distribution -am -DskipTests

After being built, the IoTDB distribution is located at the folder: "distribution/target".

Build IoTDB Edge

The distribution build also produces apache-iotdb--edge-bin.zip. IoTDB Edge runs the ConfigNode and DataNode in one JVM for resource-constrained, single-node deployments. It is an additional artifact and does not replace any existing distribution package.

After extracting the package, configure conf/iotdb-system.properties, then start or stop the Edge process with:

sbin/start-edge.sh
sbin/stop-edge.sh

On Windows, use sbin\windows\start-edge.bat and sbin\windows\stop-edge.bat. The package retains tools that are compatible with the combined Edge process.

Only build cli

Under the iotdb/iotdb-client path:

> mvn clean package -pl cli -am -DskipTests

After being built, the IoTDB cli is located at the folder "cli/target".

Build with Chinese Log & Error Messages

IoTDB supports compile-time internationalization (i18n) for log and error messages. By default, messages are in English. To build with Chinese messages, activate the with-zh-locale Maven profile:

> mvn clean package -pl distribution -am -DskipTests -P with-zh-locale

This works by swapping the source directory src/main/i18n/en (default) with src/main/i18n/zh, where each module keeps locale-specific Java constant classes containing translated message strings.

Build Others

Use -P with-cpp for compiling the cpp client. (For more details, read client-cpp's Readme file.)

NOTE: Directories "thrift/target/generated-sources/thrift", "thrift-sync/target/generated-sources/thrift", "thrift-cluster/target/generated-sources/thrift", "thrift-influxdb/target/generated-sources/thrift" and "antlr/target/generated-sources/antlr4" need to be added to sources roots to avoid compilation errors in the IDE.

In IDEA, you just need to right click on the root project name and choose "Maven->Reload Project" after you run mvn package successfully.

Configurations

Configuration files are under the "conf" folder.

  • environment config module (datanode-env.bat, datanode-env.sh),
  • system config module (iotdb-system.properties)
  • log config module (logback.xml).

For more information, please see Config Manual.

Start

You can go through the following steps to test the installation. If there is no error returned after execution, the installation is completed.

Start IoTDB

Users can start 1C1D IoTDB by the start-standalone script under the sbin folder.

# Unix/OS X
> sbin/start-standalone.sh

# Windows
> sbin\start-standalone.bat

Use IoTDB

Use Cli

IoTDB offers different ways to interact with server, here we introduce the basic steps of using Cli tool to insert and query data.

After installing IoTDB, there is a default user 'root', its default password is 'root'. Users can use this default user to login Cli to use IoTDB. The start-up script of Cli is the start-cli script in the folder sbin. When executing the script, user should assign IP, PORT, USER_NAME and PASSWORD. The default parameters are "-h 127.0.0.1 -p 6667 -u root -pw root".

Here is the command for starting the Cli:

# Unix/OS X
> sbin/start-cli.sh -h 127.0.0.1 -p 6667 -u root -pw root

# Windows
> sbin\start-cli.bat -h 127.0.0.1 -p 6667 -u root -pw root

The command line cli is interactive, so you should see the welcome logo and statements if everything is ready:

 _____       _________  ______   ______
|_   _|     |  _   _  ||_   _ `.|_   _ \
  | |   .--.|_/ | | \_|  | | `. \ | |_) |
  | | / .'`\ \  | |      | |  | | |  __'.
 _| |_| \__. | _| |_    _| |_.' /_| |__) |
|_____|'.__.' |_____|  |______.'|_______/  version x.x.x


IoTDB> login successfully
IoTDB>
Basic commands for IoTDB

Now, let us introduce the way of creating timeseries, inserting data and querying data.

The data in IoTDB is organized as timeseries. Each timeseries includes multiple data–time pairs, and is owned by a database. Before defining a timeseries, we should define a database using CREATE DATABASE first, and here is an example:

IoTDB> CREATE DATABASE root.ln

We can also use SHOW DATABASES to check the database being created:

IoTDB> SHOW DATABASES
+-------------+
|     Database|
+-------------+
|      root.ln|
+-------------+
Total line number = 1

After the database is set, we can use CREATE TIMESERIES to create a new timeseries. When creating a timeseries, we should define its data type and the encoding scheme. Here we create two timeseries:

IoTDB> CREATE TIMESERIES root.ln.wf01.wt01.status WITH DATATYPE=BOOLEAN, ENCODING=PLAIN
IoTDB> CREATE TIMESERIES root.ln.wf01.wt01.temperature WITH DATATYPE=FLOAT, ENCODING=RLE

In order to query the specific timeseries, we can use SHOW TIMESERIES . represent the location of the timeseries. The default value is "null", which queries all the timeseries in the system (the same as using "SHOW TIMESERIES root"). Here are some examples:

  1. Querying all timeseries in the system:
IoTDB> SHOW TIMESERIES
+-----------------------------+-----+-------------+--------+--------+-----------+----+----------+
|                   Timeseries|Alias|Database|DataType|Encoding|Compression|Tags|Attributes|
+-----------------------------+-----+-------------+--------+--------+-----------+----+----------+
|root.ln.wf01.wt01.temperature| null|      root.ln|   FLOAT|     RLE|     SNAPPY|null|      null|
|     root.ln.wf01.wt01.status| null|      root.ln| BOOLEAN|   PLAIN|     SNAPPY|null|      null|
+-----------------------------+-----+-------------+--------+--------+-----------+----+----------+
Total line number = 2
  1. Querying a specific timeseries (root.ln.wf01.wt01.status):
IoTDB> SHOW TIMESERIES root.ln.wf01.wt01.status
+------------------------+-----+-------------+--------+--------+-----------+----+----------+
|              timeseries|alias|database|dataType|encoding|compression|tags|attributes|
+------------------------+-----+-------------+--------+--------+-----------+----+----------+
|root.ln.wf01.wt01.status| null|      root.ln| BOOLEAN|   PLAIN|     SNAPPY|null|      null|
+------------------------+-----+-------------+--------+--------+-----------+----+----------+
Total line number = 1

Inserting timeseries data is a basic operation of IoTDB, you can use the ‘INSERT’ command to finish this. Before insertion, you should assign the timestamp and the suffix path name:

IoTDB> INSERT INTO root.ln.wf01.wt01(timestamp,status) values(100,true);
IoTDB> INSERT INTO root.ln.wf01.wt01(timestamp,status,temperature) values(200,false,20.71)

The data that you have just inserted will be displayed as follows:

IoTDB> SELECT status FROM root.ln.wf01.wt01
+------------------------+------------------------+
|                    Time|root.ln.wf01.wt01.status|
+------------------------+------------------------+
|1970-01-01T00:00:00.100Z|                    true|
|1970-01-01T00:00:00.200Z|                   false|
+------------------------+------------------------+
Total line number = 2

You can also query several timeseries data using one SQL statement:

IoTDB> SELECT * FROM root.ln.wf01.wt01
+------------------------+-----------------------------+------------------------+
|                    Time|root.ln.wf01.wt01.temperature|root.ln.wf01.wt01.status|
+------------------------+-----------------------------+------------------------+
|1970-01-01T00:00:00.100Z|                         null|                    true|
|1970-01-01T00:00:00.200Z|                        20.71|                   false|
+------------------------+-----------------------------+------------------------+
Total line number = 2

To change the time zone in Cli, you can use the following SQL:

IoTDB> SET time_zone=+08:00
Time zone has set to +08:00
IoTDB> SHOW time_zone
Current time zone: Asia/Shanghai

Add then the query result will show using the new time zone.

IoTDB> SELECT * FROM root.ln.wf01.wt01
+-----------------------------+-----------------------------+------------------------+
|                         Time|root.ln.wf01.wt01.temperature|root.ln.wf01.wt01.status|
+-----------------------------+-----------------------------+------------------------+
|1970-01-01T08:00:00.100+08:00|                         null|                    true|
|1970-01-01T08:00:00.200+08:00|                        20.71|                   false|
+-----------------------------+-----------------------------+------------------------+
Total line number = 2

The commands to exit the Cli are:

IoTDB> quit
or
IoTDB> exit

For more information about the commands supported by IoTDB SQL, please see User Guide.

Stop IoTDB

The server can be stopped with "ctrl-C" or the following script:

# Unix/OS X
> sbin/stop-standalone.sh

# Windows
> sbin\stop-standalone.bat

The use of Data Import and Export Tool

see The use of Data Import Tool see The use of Data Export Tool

Frequent Questions for Compiling

see Frequent Questions when Compiling the Source Code

Contact Us

QQ Group

  • Apache IoTDB User Group: 659990460

Wechat Group

  • Add friend: apache_iotdb, and then we'll invite you to the group.

Slack

see Join the community for more!

Frequently asked questions

Is Apache IoTDB free to use?

Apache IoTDB is open source under the Apache-2.0 licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does Apache IoTDB do?

Time-series database built for industrial IoT workloads

What is Apache IoTDB written in?

Apache IoTDB is primarily written in Java. Its source is publicly available at https://github.com/apache/iotdb, and it has 6,425 GitHub stars.