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DBMS > DolphinDB vs. GeoMesa vs. Google Cloud Spanner vs. GridGain vs. JaguarDB

System Properties Comparison DolphinDB vs. GeoMesa vs. Google Cloud Spanner vs. GridGain vs. JaguarDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Spanner  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.GridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applications
Primary database modelTime Series DBMSSpatial DBMSRelational DBMSKey-value store
Relational DBMS
Key-value store
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.84
Rank#100  Overall
#51  Relational 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.geomesa.orgcloud.google.com/­spannerwww.gridgain.comwww.jaguardb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­spanner/­docswww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.html
DeveloperDolphinDB, IncCCRi and othersGoogleGridGain Systems, Inc.DataJaguar, Inc.
Initial release20182014201720072015
Current releasev2.00.4, January 20225.0.0, May 2024GridGain 8.5.13.3 July 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache License 2.0commercialcommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaJava, C++, .NetC++ infothe server part. Clients available in other languages
Server operating systemsLinux
Windows
hostedLinux
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.nononoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoQuery statements complying to ANSI 2011ANSI-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
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
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
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnonoyes (compute grid and cache interceptors can be used instead)no
Triggersnononoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningdepending on storage layerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replication with 3 replicas for regional instances.yes (replicated cache)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoStrict serializable isolationACIDno
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.yesdepending on storage layernoyesno
User concepts infoAccess controlAdministrators, Users, Groupsyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsrights management via user accounts

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More resources
DolphinDBGeoMesaGoogle Cloud SpannerGridGainJaguarDB
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