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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDolphinDB  Xexclude from comparisonGeoSpock  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.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDolphinDB 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 scalePerformant, highly scalable DBMS for AI and IoT applicationsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSRelational DBMSKey-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
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitebitnine.net/­agensgraphwww.dolphindb.comgeospock.comwww.jaguardb.comwww.sadasengine.com
Technical documentationbitnine.net/­documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.jaguardb.com/­support.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperBitnine Global Inc.DolphinDB, IncGeoSpockDataJaguar, Inc.SADAS s.r.l.
Initial release2016201820152006
Current release2.1, December 2018v2.00.4, January 20222.0, September 20193.3 July 20238.0
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree community version availablecommercialOpen Source infoGPL V3.0commercial infofree trial version available
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 languageCC++Java, JavascriptC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedLinuxAIX
Linux
Windows
Data schemedepending on used data modelyesyesyesyes
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.nonononono
Secondary indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLyesSQL-like query languageANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCJDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesyesnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioningAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
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.noyesnonoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, GroupsAccess rights for users can be defined per tablerights management via user accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphDolphinDBGeoSpockJaguarDBSadas Engine
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