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DBMS > GridGain vs. Hawkular Metrics vs. Lovefield vs. Oracle Rdb vs. TerminusDB

System Properties Comparison GridGain vs. Hawkular Metrics vs. Lovefield vs. Oracle Rdb vs. TerminusDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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.Embeddable relational database for web apps written in pure JavaScriptScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.gridgain.comwww.hawkular.orggoogle.github.io/­lovefieldwww.oracle.com/­database/­technologies/­related/­rdb.htmlterminusdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlterminusdb.github.io/­terminusdb/­#
DeveloperGridGain Systems, Inc.Community supported by Red HatGoogleOracle, originally developed by Digital Equipment Corporation (DEC)DataChemist Ltd.
Initial release20072014201419842018
Current releaseGridGain 8.5.12.1.12, February 20177.4.1.1, 202111.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoGPL V3
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++, .NetJavaJavaScriptProlog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariHP Open VMSLinux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes
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 indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query language infovia JavaScript builder patternyesSQL-like query language (WOQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
JavaScriptJavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoyes
Triggersyes (cache interceptors and events)yes infovia Hawkular AlertingUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on CassandranoneJournaling 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 Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDBno
User concepts infoAccess controlSecurity Hooks for custom implementationsnonoRole-based access control

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More resources
GridGainHawkular MetricsLovefieldOracle RdbTerminusDB infoformer name was DataChemist
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