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DBMS > Drizzle vs. IBM Db2 Event Store vs. mSQL vs. Quasardb vs. Rockset

System Properties Comparison Drizzle vs. IBM Db2 Event Store vs. mSQL vs. Quasardb vs. Rockset

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonQuasardb  Xexclude from comparisonRockset  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 casesmSQL (Mini SQL) is a simple and lightweight RDBMSDistributed, high-performance timeseries databaseA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.ibm.com/­products/­db2-event-storehughestech.com.au/­products/­msqlquasar.airockset.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedoc.quasar.ai/­masterdocs.rockset.com
DeveloperDrizzle project, originally started by Brian AkerIBMHughes TechnologiesquasardbRockset
Initial release20082017199420092019
Current release7.2.4, September 20122.04.4, October 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree developer edition availablecommercial infofree licenses can be providedcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++CC++C++
Server operating systemsFreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
BSD
Linux
OS X
Windows
hosted
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binarydynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesyesnoyesyes infowith tagsall fields are automatically indexed
SQL infoSupport of SQLyes infowith proprietary extensionsyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsJDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP APIHTTP REST
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++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnonono
Triggersno infohooks for callbacks inside the server can be used.nononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoconsistent hashingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationnoneSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutablenoyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailAccess rights for users and organizations can be defined via Rockset console

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More resources
DrizzleIBM Db2 Event StoremSQL infoMini SQLQuasardbRockset
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