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DBMS > DolphinDB vs. H2GIS vs. Spark SQL vs. STSdb

System Properties Comparison DolphinDB vs. H2GIS vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonH2GIS  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Spatial extension of H2Spark 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 method
Primary database modelTime Series DBMSSpatial DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.dolphindb.comwww.h2gis.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.h2gis.org/­docs/­homespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDolphinDB, IncCNRSApache Software FoundationSTS Soft SC
Initial release2018201320142011
Current releasev2.00.4, January 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoLGPL 3.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScalaC#
Server operating systemsLinux
Windows
Linux
OS X
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
.NET Client API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyesyes infobased on H2nono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on H2nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
User concepts infoAccess controlAdministrators, Users, Groupsyes infobased on H2nono

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DolphinDBH2GISSpark SQLSTSdb
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