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DBMS > chDB vs. DolphinDB vs. GridGain

System Properties Comparison chDB vs. DolphinDB vs. GridGain

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseDolphinDB 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.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#358  Overall
#152  Relational DBMS
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Websitegithub.com/­chdb-io/­chdbwww.dolphindb.comwww.gridgain.com
Technical documentationdoc.chdb.iodocs.dolphindb.cn/­en/­help200/­index.htmlwww.gridgain.com/­docs/­index.html
DeveloperDolphinDB, IncGridGain Systems, Inc.
Initial release202320182007
Current releasev2.00.4, January 2022GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availablecommercial, open source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .Net, Python, REST, SQL
Server operating systemsserver-lessLinux
Windows
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)SQL-like query languageANSI-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
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)
Triggersnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAdministrators, Users, GroupsRole-based access control
Security Hooks for custom implementations

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More resources
chDBDolphinDBGridGain
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