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DBMS > Apache IoTDB vs. OpenQM vs. SingleStore

System Properties Comparison Apache IoTDB vs. OpenQM vs. SingleStore

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkQpenQM is a high-performance, self-tuning, multi-value DBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#251  Overall
#20  Time Series DBMS
Score0.30
Rank#269  Overall
#11  Multivalue DBMS
Score6.66
Rank#59  Overall
#33  Relational DBMS
Websiteiotdb.apache.orgwww.openqm.comwww.singlestore.com
Technical documentationwww.openqm.com/­support/­documentationdocs.singlestore.com
DeveloperApache Software FoundationMartin PhillipsSingleStore Inc.
Initial release201819932013
Current release3.4-127.6, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++, Go
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux info64 bit version required
Data schemeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infobut no triggers and foreign keys
APIs and other access methodsJDBCCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelFine grained access control via users, groups and roles
More information provided by the system vendor
Apache IoTDBOpenQM infoalso called QMSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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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
Apache IoTDBOpenQM infoalso called QMSingleStore infoformer name was MemSQL
Conferences and events

Turbocharge Your Open-Source DB to Drive 100x Faster Performance
Webinar, 10am PT, 18 January 2022

Recent citations in the news

Top 10 Apache projects in 2021, from Superset, to NuttX and Pulsar
5 January 2022, The Stack

The Apache Software Foundation Announces Apache® IoTDB™ as
23 September 2020, GlobeNewswire

The Apache® Software Foundation Announces Program for
17 August 2021, GlobeNewswire

The Apache® Software Foundation Welcomes its Global Community Online at ApacheCon(TM) Asia 2021
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provided by Google News

OpenQM
5 March 2019, International Spectrum Magazine

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8 September 2021, TechCrunch

Database startup SingleStore raises $80M
8 September 2021, VentureBeat

SingleStore says it's the world's first database to support analytical and transactional workloads
23 June 2021, SiliconANGLE News

What's Changed: 2021 Gartner Magic Quadrant for Cloud Database Management Systems
13 January 2022, Solutions Review

IBM invests in SingleStore to get faster AI and analytics on distributed data – Blocks and Files
30 November 2021, Blocks and Files

provided by Google News

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