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DBMS > FatDB vs. Oracle NoSQL vs. SiteWhere vs. Splice Machine

System Properties Comparison FatDB vs. Oracle NoSQL vs. SiteWhere vs. Splice Machine

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesM2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Key-value store
Document store
Key-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.oracle.com/­database/­nosql/­technologies/­nosqlgithub.com/­sitewhere/­sitewheresplicemachine.com
Technical documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-works
DeveloperFatCloudOracleSiteWhereSplice Machine
Initial release2012201120102014
Current release24.1, May 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaJavaJava
Server operating systemsWindowsLinux
Solaris SPARC/x86
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.predefined schemeyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like DML and DDL statementsnoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIHTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#C
C#
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infoJava
Triggersyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infodepending on configuration
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurable infoACID within a storage node (=shard)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cachenoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users and rolesUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
FatDBOracle NoSQLSiteWhereSplice Machine
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