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DBMS > DolphinDB vs. Ingres vs. RisingWave vs. TigerGraph vs. TimesTen

System Properties Comparison DolphinDB vs. Ingres vs. RisingWave vs. TigerGraph vs. TimesTen

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonIngres  Xexclude from comparisonRisingWave  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  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.Well established RDBMSA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.dolphindb.comwww.actian.com/­databases/­ingreswww.risingwave.com/­databasewww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.actian.com/­ingresdocs.risingwave.com/­docs/­current/­introdocs.tigergraph.comdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperDolphinDB, IncActian CorporationRisingWave LabsOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20181974 infooriginally developed at University Berkely in early 1970s202220171998
Current releasev2.00.4, January 202212.0, July 20241.2, September 2023Release 22.1
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoApache Version 2.0commercialcommercial
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 languageC++CRustC++
Server operating systemsLinux
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Docker
Linux
macOS
LinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesSQL-like query language (GSQL)yes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
PostgreSQL wire protocol
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
C++
Java
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesyesUDFs in Python or JavayesPL/SQL
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres ReplicatorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardUsers and RolesRole-based access controlfine grained access rights according to SQL-standard

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More resources
DolphinDBIngresRisingWaveTigerGraphTimesTen
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