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DBMS > DolphinDB vs. DuckDB vs. Graph Engine vs. GridGain

System Properties Comparison DolphinDB vs. DuckDB vs. Graph Engine vs. GridGain

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonDuckDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  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.An embeddable, in-process, column-oriented SQL OLAP RDBMSA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Key-value store
Key-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitewww.dolphindb.comduckdb.orgwww.graphengine.iowww.gridgain.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlduckdb.org/­docswww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.html
DeveloperDolphinDB, IncMicrosoftGridGain Systems, Inc.
Initial release2018201820102007
Current releasev2.00.4, January 20220.10, February 2024GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoMIT LicenseOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++.NET and CJava, C++, .Net
Server operating systemsLinux
Windows
server-less.NETLinux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyesyes (compute grid and cache interceptors can be used instead)
Triggersnononoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAdministrators, Users, GroupsnoSecurity Hooks for custom implementations

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More resources
DolphinDBDuckDBGraph Engine infoformer name: TrinityGridGain
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