DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > OpenQM vs. Spark SQL vs. TDengine vs. Transbase

System Properties Comparison OpenQM vs. Spark SQL vs. TDengine vs. Transbase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelMultivalue DBMSRelational DBMSTime Series DBMSRelational DBMS
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
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
www.transaction.de/­en/­products/­transbase.html
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperRocket Software, originally Martin PhillipsApache Software FoundationTDEngine, previously Taos DataTransaction Software GmbH
Initial release1993201420191987
Current release3.4-123.5.0 ( 2.13), September 20233.0, August 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availablecommercial infofree development license
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 languageScalaCC and C++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infowith some exceptionsyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesyesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
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.nono
User concepts infoAccess controlAccess rights can be defined down to the item levelnoyesfine grained access rights according to SQL-standard
More information provided by the system vendor
OpenQM infoalso called QMSpark SQLTDengineTransbase
Specific characteristicsTDengineā„¢ 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
News

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

How to Unlock Value from Industrial Data with AI and ML Technology
6 May 2024

Compare InfluxDB vs. TDengine
19 April 2024

Why We Need the Next Generation Data Historian
15 April 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
OpenQM infoalso called QMSpark SQLTDengineTransbase
Recent citations in the news

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services
24 January 2024, AWS Blog

What is Apache Spark? The big data platform that crushed Hadoop
3 April 2024, InfoWorld

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2024
1 April 2024, Simplilearn

Performant IPv4 Range Spark Joins | by Jean-Claude Cote
24 January 2024, Towards Data Science

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

provided by Google News

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, GlobeNewswire

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

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here