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DBMS > GeoSpock vs. IBM Db2 warehouse vs. OpenQM vs. Pinecone vs. TDengine

System Properties Comparison GeoSpock vs. IBM Db2 warehouse vs. OpenQM vs. Pinecone vs. TDengine

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPinecone  Xexclude from comparisonTDengine  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleCloud-based data warehousing serviceQpenQM is a high-performance, self-tuning, multi-value DBMSA managed, cloud-native vector databaseTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSVector DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegeospock.comwww.ibm.com/­products/­db2/­warehousewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.tdengine.com
DeveloperGeoSpockIBMRocket Software, originally Martin PhillipsPinecone Systems, IncTDEngine, previously Taos Data
Initial release2014199320192019
Current release2.0, September 20193.4-123.0, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC
Server operating systemshostedhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedLinux
Windows
Data schemeyesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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.nono infoImport/export of XML data possibleyesnono
Secondary indexestemporal, categoricalyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesnonoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP APIJDBC
RESTful HTTP API
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
PythonC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyesno
Triggersnoyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights can be defined down to the item levelyes
More information provided by the system vendor
GeoSpockIBM Db2 warehouse infoformerly named IBM dashDBOpenQM infoalso called QMPineconeTDengine
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
News

Streamlining Time-Series Data Management with TDengine’s PostgreSQL Connector
12 June 2024

Enhancing IoT and Industrial Data Management with TDengine’s MySQL Connector
12 June 2024

Comprehensive Comparison Between TDengine and MongoDB
6 June 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

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More resources
GeoSpockIBM Db2 warehouse infoformerly named IBM dashDBOpenQM infoalso called QMPineconeTDengine
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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