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DBMS > Altibase vs. Hawkular Metrics vs. jBASE vs. MarkLogic vs. Splice Machine

System Properties Comparison Altibase vs. Hawkular Metrics vs. jBASE vs. MarkLogic vs. Splice Machine

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparisonMarkLogic  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSHawkular 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 middlewareOperational and transactional Enterprise NoSQL databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSMultivalue DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitealtibase.comwww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.marklogic.comsplicemachine.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.marklogic.comsplicemachine.com/­how-it-works
DeveloperAltibaseCommunity supported by Red HatRocket Software (formerly Zumasys)MarkLogic Corp.Splice Machine
Initial release19992014199120012014
Current releasev7.3, 2023, August 20235.711.0, December 20223.1, March 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source infoAGPL 3.0, commercial 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++JavaC++Java
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92noEmbedded SQL for jBASE in BASICyes infoSQL92yes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
Go
Java
Python
Ruby
.Net
Basic
Jabbascript
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyesyes infovia XQuery or JavaScriptyes infoJava
Triggersyesyes infovia Hawkular Alertingyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandrayesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesnoyesyes, with Range Indexesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights can be defined down to the item levelRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard

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AltibaseHawkular MetricsjBASEMarkLogicSplice Machine
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