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DBMS > GeoSpock vs. Raima Database Manager vs. Spark SQL vs. STSdb vs. TDengine

System Properties Comparison GeoSpock vs. Raima Database Manager vs. Spark SQL vs. STSdb vs. TDengine

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  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 scaleRDBMS with a small footprint, either embedded into an application or used as a database serverSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#260  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score0.13
Rank#344  Overall
#51  Key-value stores
Score2.63
Rank#116  Overall
#9  Time Series DBMS
Websitegeospock.comraima.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.raima.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperGeoSpockRaima Inc.Apache Software FoundationSTS Soft SCTDEngine, previously Taos Data
Initial release1984201420112019
Current release2.0, September 201915, June 20213.5.0 ( 2.13), September 20234.0.8, September 20153.0, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptCScalaC#C
Server operating systemshostedAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
OS X
Windows
WindowsLinux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes
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 infoExporting/Importing of XML structures possiblenono
Secondary indexestemporal, categoricalyesnonono
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like DML and DDL statementsnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client APIJDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Objective-C
PL/SQL
Java
Python
R
Scala
C#
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationnonono
Triggersnoyesnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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 tablenononoyes
More information provided by the system vendor
GeoSpockRaima Database Manager infoformerly named db_VistaSpark SQLSTSdbTDengine
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

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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
GeoSpockRaima Database Manager infoformerly named db_VistaSpark SQLSTSdbTDengine
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