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DBMS > Drizzle vs. IBM Db2 Event Store vs. MonetDB vs. Splice Machine

System Properties Comparison Drizzle vs. IBM Db2 Event Store vs. MonetDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMonetDB  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Distributed Event Store optimized for Internet of Things use casesA relational database management system that stores data in columnsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.monetdb.orgsplicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.monetdb.org/­Documentationsplicemachine.com/­how-it-works
DeveloperDrizzle project, originally started by Brian AkerIBMMonetDB BVSplice Machine
Initial release2008201720042014
Current release7.2.4, September 20122.0Dec2023 (11.49), December 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree developer edition availableOpen Source infoMozilla Public License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++CJava
Server operating systemsFreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infothrough the embedded Spark runtimeyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes, in SQL, C, Ryes infoJava
Triggersno infohooks for callbacks inside the server can be used.noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
DrizzleIBM Db2 Event StoreMonetDBSplice Machine
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