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DBMS > GridGain vs. IBM Db2 Event Store vs. JaguarDB vs. RisingWave vs. TerminusDB

System Properties Comparison GridGain vs. IBM Db2 Event Store vs. JaguarDB vs. RisingWave vs. TerminusDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonJaguarDB  Xexclude from comparisonRisingWave  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDistributed Event Store optimized for Internet of Things use casesPerformant, highly scalable DBMS for AI and IoT applicationsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Relational DBMS
Event Store
Time Series DBMS
Key-value store
Vector DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.gridgain.comwww.ibm.com/­products/­db2-event-storewww.jaguardb.comwww.risingwave.com/­databaseterminusdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.ibm.com/­docs/­en/­db2-event-storewww.jaguardb.com/­support.htmldocs.risingwave.com/­docs/­current/­introterminusdb.github.io/­terminusdb/­#
DeveloperGridGain Systems, Inc.IBMDataJaguar, Inc.RisingWave LabsDataChemist Ltd.
Initial release20072017201520222018
Current releaseGridGain 8.5.12.03.3 July 20231.2, September 202311.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoGPL V3.0Open Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC and C++C++ infothe server part. Clients available in other languagesRustProlog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionLinuxDocker
Linux
macOS
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSONyes
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.yesnononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesSQL-like query language (WOQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
PostgreSQL wire protocol
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesnoUDFs in Python or Javayes
Triggersyes (cache interceptors and events)nononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Active-active shard replicationMulti-source replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardrights management via user accountsUsers and RolesRole-based access control

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More resources
GridGainIBM Db2 Event StoreJaguarDBRisingWaveTerminusDB infoformer name was DataChemist
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