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DBMS > Datomic vs. EXASOL vs. Netezza vs. Snowflake

System Properties Comparison Datomic vs. EXASOL vs. Netezza vs. Snowflake

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Data warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#110  Overall
#53  Relational DBMS
Score2.86
Rank#90  Overall
#45  Relational DBMS
Score18.36
Rank#33  Overall
#20  Relational DBMS
Score2.42
Rank#100  Overall
#49  Relational DBMS
Websitewww.datomic.comwww.exasol.com/­en/­productswww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationdocs.datomic.comwww.exasol.com/­en/­community/­resourcesdocs.snowflake.net/­manuals/­index.html
DeveloperCognitectExasolIBMSnowflake Computing Inc.
Initial release2012200020002014
Current release0.9.5951, July 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Clojure
Server operating systemsAll OS with a Java VMLinux infoincluded in appliancehosted
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesClojure
Java
Java
Lua
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsyesuser defined functions
TriggersBy using transaction functionsyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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 developmentyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
DatomicEXASOLNetezza infoAlso called PureData System for Analytics by IBMSnowflake
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