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DBMS > OpenQM vs. Qdrant vs. TDengine vs. TerarkDB

System Properties Comparison OpenQM vs. Qdrant vs. TDengine vs. TerarkDB

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonQdrant  Xexclude from comparisonTDengine  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSA high-performance vector database with neural network or semantic-based matchingTime Series DBMS and big data platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelMultivalue DBMSVector DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­taosdata/­TDengine
tdengine.com
github.com/­bytedance/­terarkdb
Technical documentationqdrant.tech/­documentationdocs.tdengine.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperRocket Software, originally Martin PhillipsQdrantTDEngine, previously Taos DataByteDance, originally Terark
Initial release1993202120192016
Current release3.4-123.0, August 2022
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2.0Open Source infoAGPL V3, also commercial editions availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCC++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
Windows
Data schemeyes infowith some exceptionsschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textnono
SQL infoSupport of SQLnonoStandard SQL with extensions for time-series applicationsno
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
RESTful HTTP API
C++ API
Java API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresyesnono
Triggersyesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelKey-based authenticationyesno
More information provided by the system vendor
OpenQM infoalso called QMQdrantTDengineTerarkDB
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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8 May 2024

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7 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
OpenQM infoalso called QMQdrantTDengineTerarkDB
Recent citations in the news

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, businesswire.com

Qdrant Raises $28M to Advance Massive-Scale AI Applications
26 January 2024, Datanami

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

provided by Google News

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, Yahoo Finance

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

provided by Google News



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