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DBMS > DolphinDB vs. EDB Postgres vs. GeoMesa vs. GridGain vs. JaguarDB

System Properties Comparison DolphinDB vs. EDB Postgres vs. GeoMesa vs. GridGain vs. JaguarDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparisonGridGain  Xexclude from comparisonJaguarDB  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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.GridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applications
Primary database modelTime Series DBMSRelational DBMSSpatial DBMSKey-value store
Relational DBMS
Key-value store
Vector DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial 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
Websitewww.dolphindb.comwww.enterprisedb.comwww.geomesa.orgwww.gridgain.comwww.jaguardb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.enterprisedb.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.html
DeveloperDolphinDB, IncEnterpriseDBCCRi and othersGridGain Systems, Inc.DataJaguar, Inc.
Initial release20182005201420072015
Current releasev2.00.4, January 202214, December 20215.0.0, May 2024GridGain 8.5.13.3 July 2023
License infoCommercial or Open Sourcecommercial infofree community version availablecommercial infoBSD for PostgreSQL-componentsOpen Source infoApache License 2.0commercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CScalaJava, C++, .NetC++ infothe server part. Clients available in other languages
Server operating systemsLinux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
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.noyes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsnoANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoby hash, list or rangedepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationdepending on storage layeryes (replicated cache)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDno
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.yesnodepending on storage layeryesno
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageSecurity Hooks for custom implementationsrights management via user accounts

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More resources
DolphinDBEDB PostgresGeoMesaGridGainJaguarDB
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