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DBMS > GridGain vs. JaguarDB vs. Quasardb vs. RisingWave vs. Titan

System Properties Comparison GridGain vs. JaguarDB vs. Quasardb vs. RisingWave vs. Titan

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRisingWave  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionGridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsDistributed, high-performance timeseries databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Relational DBMS
Key-value store
Vector DBMS
Time Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.gridgain.comwww.jaguardb.comquasar.aiwww.risingwave.com/­databasegithub.com/­thinkaurelius/­titan
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmldoc.quasar.ai/­masterdocs.risingwave.com/­docs/­current/­introgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGridGain Systems, Inc.DataJaguar, Inc.quasardbRisingWave LabsAurelius, owned by DataStax
Initial release20072015200920222012
Current releaseGridGain 8.5.13.3 July 20233.14.1, January 20241.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0Open Source infoApache license, version 2.0
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 languageJava, C++, .NetC++ infothe server part. Clients available in other languagesC++RustJava
Server operating systemsLinux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
Docker
Linux
macOS
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryStandard 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.yesnonono
Secondary indexesyesyesyes infowith tagsyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP APIJDBC
PostgreSQL wire protocol
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoUDFs in Python or Javayes
Triggersyes (cache interceptors and events)nononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integrationnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsCryptographically strong user authentication and audit trailUsers and RolesUser authentification and security via Rexster Graph Server

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GridGainJaguarDBQuasardbRisingWaveTitan
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