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DBMS > Altibase vs. GridGain vs. Hawkular Metrics vs. jBASE vs. Oracle Berkeley DB

System Properties Comparison Altibase vs. GridGain vs. Hawkular Metrics vs. jBASE vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSGridGain 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 robust multi-value DBMS comprising development tools and middlewareWidely used in-process key-value store
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSMultivalue DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitealtibase.comwww.gridgain.comwww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAltibaseGridGain Systems, Inc.Community supported by Red HatRocket Software (formerly Zumasys)Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release19992007201419911994
Current releasev7.3, 2023, August 2023GridGain 8.5.15.718.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache 2.0commercialOpen Source infocommercial license 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 languageC++Java, C++, .NetJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
AIX
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptionalno
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.noyesnoyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL-92ANSI-99 for query and DML statements, subset of DDLnoEmbedded SQL for jBASE in BASICyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C++
Java
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresstored procedures and stored functionsyes (compute grid and cache interceptors can be used instead)noyesno
Triggersyesyes (cache interceptors and events)yes infovia Hawkular Alertingyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)selectable replication factor infobased on CassandrayesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
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.yesyesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsnoAccess rights can be defined down to the item levelno

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More resources
AltibaseGridGainHawkular MetricsjBASEOracle Berkeley DB
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