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DBMS > GridGain vs. Hawkular Metrics vs. Oracle Rdb vs. Realm vs. TypeDB

System Properties Comparison GridGain vs. Hawkular Metrics vs. Oracle Rdb vs. Realm vs. TypeDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRealm  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A 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 language
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument 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.
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#379  Overall
#40  Time Series DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.gridgain.comwww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlrealm.iotypedb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrealm.io/­docstypedb.com/­docs
DeveloperGridGain Systems, Inc.Community supported by Red HatOracle, originally developed by Digital Equipment Corporation (DEC)Realm, acquired by MongoDB in May 2019Vaticle
Initial release20072014198420142016
Current releaseGridGain 8.5.17.4.1.1, 20212.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen SourceOpen Source infoGPL Version 3, commercial licenses available
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++, .NetJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
HP Open VMSAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on CassandranoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoIn-Memory realmno
User concepts infoAccess controlSecurity Hooks for custom implementationsnoyesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GridGainHawkular MetricsOracle RdbRealmTypeDB infoformerly named Grakn
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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GridGainHawkular MetricsOracle RdbRealmTypeDB infoformerly named Grakn
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