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DBMS > Datomic vs. Graphite vs. Hypertable vs. Netezza

System Properties Comparison Datomic vs. Graphite vs. Hypertable vs. Netezza

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonHypertable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 WhisperAn open source BigTable implementation based on distributed file systems such as HadoopData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSTime Series DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitewww.datomic.comgithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­netezza
Technical documentationdocs.datomic.comgraphite.readthedocs.io
DeveloperCognitectChris DavisHypertable Inc.IBM
Initial release2012200620092000
Current release1.0.7180, July 20240.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojurePythonC++
Server operating systemsAll OS with a Java VMLinux
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Linux infoincluded in appliance
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlynoyes
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 indexesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIHTTP API
Sockets
C++ API
Thrift
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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 development
User concepts infoAccess controlnononoUsers with fine-grained authorization concept

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More resources
DatomicGraphiteHypertableNetezza infoAlso called PureData System for Analytics by IBM
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