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DBMS > Sequoiadb vs. Splice Machine

System Properties Comparison Sequoiadb vs. Splice Machine

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Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionNewSQL database with distributed OLTP and SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#262  Overall
#40  Document stores
#122  Relational DBMS
Score0.77
Rank#200  Overall
#95  Relational DBMS
Websitewww.sequoiadb.comsplicemachine.com
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdoc.splicemachine.com
DeveloperSequoiadb Ltd.Splice Machine
Initial release20132014
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsproprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C++
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJavaScriptyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlsimple password-based access controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
SequoiadbSplice Machine
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23 April 2021

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15 April 2021

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More resources
SequoiadbSplice Machine
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