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DBMS > AgensGraph vs. DolphinDB vs. Graph Engine vs. Spark SQL vs. ToroDB

System Properties Comparison AgensGraph vs. DolphinDB vs. Graph Engine vs. Spark SQL vs. ToroDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSpark SQL  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is 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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSpark SQL is a component on top of 'Spark Core' for structured data processingA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSGraph DBMS
Key-value store
Relational DBMSDocument store
Secondary database modelsRelational 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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebitnine.net/­agensgraphwww.dolphindb.comwww.graphengine.iospark.apache.org/­sqlgithub.com/­torodb/­server
Technical documentationbitnine.net/­documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBitnine Global Inc.DolphinDB, IncMicrosoftApache Software Foundation8Kdata
Initial release20162018201020142016
Current release2.1, December 2018v2.00.4, January 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree community version availableOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoAGPL-V3
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 languageCC++.NET and CScalaJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
.NETLinux
OS X
Windows
All OS with a Java 7 VM
Data schemedepending on used data modelyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesno
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like DML and DDL statements
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
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesyesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioninghorizontal partitioningyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, GroupsnoAccess rights for users and roles

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More resources
AgensGraphDolphinDBGraph Engine infoformer name: TrinitySpark SQLToroDB
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