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DBMS > DolphinDB vs. GeoSpock vs. GridGain vs. JaguarDB vs. Sadas Engine

System Properties Comparison DolphinDB vs. GeoSpock vs. GridGain vs. JaguarDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Key-value store
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitewww.dolphindb.comgeospock.comwww.gridgain.comwww.jaguardb.comwww.sadasengine.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperDolphinDB, IncGeoSpockGridGain Systems, Inc.DataJaguar, Inc.SADAS s.r.l.
Initial release2018200720152006
Current releasev2.00.4, January 20222.0, September 2019GridGain 8.5.13.3 July 20238.0
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialOpen Source infoGPL V3.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptJava, C++, .NetC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux
Windows
hostedLinux
OS X
Solaris
Windows
LinuxAIX
Linux
Windows
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 indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)nono
Triggersnonoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
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.yesnoyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users can be defined per tableSecurity Hooks for custom implementationsrights management via user accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
DolphinDBGeoSpockGridGainJaguarDBSadas Engine
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