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DBMS > Datomic vs. Graphite vs. Netezza

System Properties Comparison Datomic vs. Graphite vs. Netezza

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.datomic.comgithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­netezza
Technical documentationdocs.datomic.comgraphite.readthedocs.io
DeveloperCognitectChris DavisIBM
Initial release201220062000
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojurePython
Server operating systemsAll OS with a Java VMLinux
Unix
Linux infoincluded in appliance
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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 indexesyesnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIHTTP API
Sockets
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes
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 controlnonoUsers with fine-grained authorization concept

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More resources
DatomicGraphiteNetezza infoAlso called PureData System for Analytics by IBM
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