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DBMS > Drizzle vs. EsgynDB vs. NuoDB vs. Splice Machine

System Properties Comparison Drizzle vs. EsgynDB vs. NuoDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonNuoDB  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.esgyn.cnwww.3ds.com/­nuodb-distributed-sql-databasesplicemachine.com
Technical documentationdoc.nuodb.comsplicemachine.com/­how-it-works
DeveloperDrizzle project, originally started by Brian AkerEsgynDassault Systèmes infooriginally NuoDB, Inc.Splice Machine
Initial release2008201520132014
Current release7.2.4, September 20123.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infolimited edition freeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
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 systemsFreeBSD
Linux
OS X
Linuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyesyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored ProceduresJava, SQLyes infoJava
Triggersno infohooks for callbacks inside the server can be used.noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tableyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standard

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More resources
DrizzleEsgynDBNuoDBSplice Machine
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