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DBMS > Altibase vs. Drizzle vs. H2 vs. Manticore Search vs. Splice Machine

System Properties Comparison Altibase vs. Drizzle vs. H2 vs. Manticore Search vs. Splice Machine

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonManticore Search  Xexclude from comparisonSplice Machine  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multi-storage database for search, including full-text search.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.00
Rank#194  Overall
#91  Relational DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitealtibase.comwww.h2database.commanticoresearch.comsplicemachine.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.h2database.com/­html/­main.htmlmanual.manticoresearch.comsplicemachine.com/­how-it-works
DeveloperAltibaseDrizzle project, originally started by Brian AkerThomas MuellerManticore SoftwareSplice Machine
Initial release19992008200520172014
Current releasev7.3, 2023, August 20237.2.4, September 20122.2.220, July 20236.0, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL version 2Open 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++C++JavaC++Java
Server operating systemsAIX
HP-UX
Linux
FreeBSD
Linux
OS X
All OS with a Java VMFreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XML
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLANSI SQL-92yes infowith proprietary extensionsyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBCJDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
C
C++
Java
PHP
JavaElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnoJava Stored Procedures and User-Defined Functionsuser defined functionsyes infoJava
Triggersyesno infohooks for callbacks inside the server can be used.yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseSynchronous replication based on Galera libraryMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
AltibaseDrizzleH2Manticore SearchSplice Machine
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