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DBMS > GridGain vs. Hawkular Metrics vs. LevelDB vs. Oracle Rdb vs. StarRocks

System Properties Comparison GridGain vs. Hawkular Metrics vs. LevelDB vs. Oracle Rdb vs. StarRocks

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLevelDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonStarRocks  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 fast key-value storage library that provides an ordered mapping from string keys to string valuesAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelKey-value store
Relational DBMS
Time Series DBMSKey-value storeRelational DBMSRelational 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#379  Overall
#40  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitewww.gridgain.comwww.hawkular.orggithub.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.starrocks.io
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGridGain Systems, Inc.Community supported by Red HatGoogleOracle, originally developed by Digital Equipment Corporation (DEC)The Linux Foundation infosince Feb 2023
Initial release20072014201119842020
Current releaseGridGain 8.5.11.23, February 20217.4.1.1, 20212.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDcommercialOpen Source infoApache 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++, .NetJavaC++C++, Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
HP Open VMSLinux
Data schemeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesnonoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJDBC
MySQL protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonouser defined functions
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on Cassandranone
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlSecurity Hooks for custom implementationsnonoRole based access control and fine grained access rights

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More resources
GridGainHawkular MetricsLevelDBOracle RdbStarRocks
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