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DBMS > Datomic vs. Immudb vs. Netezza vs. Yanza

System Properties Comparison Datomic vs. Immudb vs. Netezza vs. Yanza

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Data warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.24
Rank#295  Overall
#42  Key-value stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitewww.datomic.comgithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzayanza.com
Technical documentationdocs.datomic.comdocs.immudb.io
DeveloperCognitectCodenotaryIBMYanza
Initial release2012202020002015
Current release1.0.7180, July 20241.2.3, April 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGo
Server operating systemsAll OS with a Java VMBSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in applianceWindows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like syntaxyesno
APIs and other access methodsRESTful HTTP APIgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
HTTP API
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesno
TriggersBy using transaction functionsnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentno
User concepts infoAccess controlnoUsers with fine-grained authorization conceptno

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More resources
DatomicImmudbNetezza infoAlso called PureData System for Analytics by IBMYanza
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