DBMS > OpenSearch vs. TDengine

System Properties Comparison OpenSearch vs. TDengine

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Our visitors often compare OpenSearch and TDengine with ClickHouse, TimescaleDB and InfluxDB.

Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

Time Series DBMS and big data platform

Primary database model

Search engine

Time Series DBMS

Secondary database models

Vector DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	13.60
Rank	#42	Overall
	#4	Search engines

Score	3.21
Rank	#106	Overall
	#8	Time Series DBMS

Website

github.com/opensearch-project
opensearch.org

github.com/taosdata/TDengine
tdengine.com

Technical documentation

opensearch.org/docs/latest

docs.tdengine.com

Developer

Amazon Web Services

TDEngine, previously Taos Data

Initial release

2021

2019

Current release

2.5.0, January 2023

3.0, August 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

GPL V3, also commercial editions available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.

Implementation language

Java

Server operating systems

All OS with a Java VM

Linux
Windows

Data scheme

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

SQL-like query language

Standard SQL with extensions for time-series applications

APIs and other access methods

Java API
RESTful HTTP/JSON API

JDBC
RESTful HTTP API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

yes, via alarm monitoring

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

yes

More information provided by the system vendor

Specific characteristics

OpenSearch is a highly scalable and extensible open-source software suite for search,...
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TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
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Competitive advantages

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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High Performance: TDengine is purpose-built for handling massive industrial datasets,...
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Typical application scenarios

The OpenSearch platform is used across a broad range of search , analytics, and observability...
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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Market metrics

TDengine has garnered over 22,000 stars on GitHub and is used in over 50 countries...
» more

Licensing and pricing models

The OpenSearch Project offers open source software licensed under Apache License...
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TDengine OSS is an open source, cloud native time series database. It includes built-in...
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