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DBMS > DolphinDB vs. Graph Engine vs. GridGain vs. Kinetica vs. SpatiaLite

System Properties Comparison DolphinDB vs. Graph Engine vs. GridGain vs. Kinetica vs. SpatiaLite

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonSpatiaLite  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache IgniteFully vectorized database across both GPUs and CPUsSpatial extension of SQLite
Primary database modelTime Series DBMSGraph DBMS
Key-value store
Key-value store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.dolphindb.comwww.graphengine.iowww.gridgain.comwww.kinetica.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmldocs.kinetica.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDolphinDB, IncMicrosoftGridGain Systems, Inc.KineticaAlessandro Furieri
Initial release20182010200720122008
Current releasev2.00.4, January 2022GridGain 8.5.17.1, August 20215.0.0, August 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoMIT LicensecommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++.NET and CJava, C++, .NetC, C++C++
Server operating systemsLinux
Windows
.NETLinux
OS X
Solaris
Windows
Linuxserver-less
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersnonoyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAdministrators, Users, GroupsSecurity Hooks for custom implementationsAccess rights for users and roles on table levelno

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More resources
DolphinDBGraph Engine infoformer name: TrinityGridGainKineticaSpatiaLite
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