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DBMS > GridGain vs. Realm vs. TypeDB vs. Yanza

System Properties Comparison GridGain vs. Realm vs. TypeDB vs. Yanza

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonRealm  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageTime Series DBMS for IoT Applications
Primary database modelKey-value store
Relational DBMS
Document storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Time Series 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
Score7.60
Rank#52  Overall
#9  Document stores
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.gridgain.comrealm.iotypedb.comyanza.com
Technical documentationwww.gridgain.com/­docs/­index.htmlrealm.io/­docstypedb.com/­docs
DeveloperGridGain Systems, Inc.Realm, acquired by MongoDB in May 2019VaticleYanza
Initial release2007201420162015
Current releaseGridGain 8.5.12.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJava
Server operating systemsLinux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no inforuns within the applications so server-side scripts are unnecessarynono
Triggersyes (cache interceptors and events)yes infoChange Listenersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneMulti-source replication infoby using Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoIn-Memory realmno
User concepts infoAccess controlSecurity Hooks for custom implementationsyesyes infoat REST API level; other APIs in progressno
More information provided by the system vendor
GridGainRealmTypeDB infoformerly named GraknYanza
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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GridGainRealmTypeDB infoformerly named GraknYanza
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