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DBMS > FoundationDB vs. IBM Cloudant vs. KairosDB vs. Splice Machine

System Properties Comparison FoundationDB vs. IBM Cloudant vs. KairosDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKairosDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Database as a Service offering based on Apache CouchDBDistributed Time Series DBMS based on Cassandra or H2Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.ibm.com/­products/­cloudantgithub.com/­kairosdb/­kairosdbsplicemachine.com
Technical documentationapple.github.io/­foundationdbcloud.ibm.com/­docs/­Cloudantkairosdb.github.iosplicemachine.com/­how-it-works
DeveloperFoundationDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Splice Machine
Initial release2013201020132014
Current release6.2.28, November 20201.2.2, November 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangJavaJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingnoyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlynonoyes
APIs and other access methodsRESTful HTTP/JSON APIGraphite protocol
HTTP REST
Telnet API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
JavaScript infoNode.js
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyView functions (Map-Reduce) in JavaScriptnoyes infoJava
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes, 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.nonoyes
User concepts infoAccess controlnoAccess rights for users can be defined per databasesimple password-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
FoundationDBIBM CloudantKairosDBSplice Machine
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