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DBMS > Datomic vs. Netezza vs. OushuDB

System Properties Comparison Datomic vs. Netezza vs. OushuDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData warehouse and analytics appliance part of IBM PureSystemsA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.05
Rank#357  Overall
#151  Relational DBMS
Websitewww.datomic.comwww.ibm.com/­products/­netezzawww.oushu.com/­product/­oushuDB
Technical documentationdocs.datomic.comwww.oushu.com/­documentation
DeveloperCognitectIBMOushu
Initial release20122000
Current release1.0.7180, July 20244.0.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure
Server operating systemsAll OS with a Java VMLinux infoincluded in applianceLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoyesFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesClojure
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlnoUsers with fine-grained authorization conceptKerberos, SSL and role based access

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More resources
DatomicNetezza infoAlso called PureData System for Analytics by IBMOushuDB
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