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DBMS > DolphinDB vs. GridGain vs. IBM Cloudant vs. Kinetica

System Properties Comparison DolphinDB vs. GridGain vs. IBM Cloudant vs. Kinetica

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  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.GridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUs
Primary database modelTime Series DBMS
Vector DBMS
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series 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
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitewww.dolphindb.comwww.gridgain.comwww.ibm.com/­products/­cloudantwww.kinetica.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.gridgain.com/­docs/­index.htmlcloud.ibm.com/­docs/­Cloudantdocs.kinetica.com
DeveloperDolphinDB, IncGridGain Systems, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Kinetica
Initial release2018200720102012
Current releasev2.00.4, January 2022GridGain 8.5.17.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community version availablecommercial, open sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .Net, Python, REST, SQLErlangC, C++
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
z/OS
hostedLinux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statements
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
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)View functions (Map-Reduce) in JavaScriptuser defined functions
Triggersnoyes (cache interceptors and events)yesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAdministrators, Users, GroupsRole-based access control
Security Hooks for custom implementations
Access rights for users can be defined per databaseAccess rights for users and roles on table level

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More resources
DolphinDBGridGainIBM CloudantKinetica
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