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DBMS > BigObject vs. Sequoiadb vs. Splice Machine

System Properties Comparison BigObject vs. Sequoiadb vs. Splice Machine

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonSequoiadb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesNewSQL 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 modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitebigobject.iowww.sequoiadb.comsplicemachine.com
Technical documentationdocs.bigobject.iowww.sequoiadb.com/­en/­index.php?m=Files&a=indexsplicemachine.com/­how-it-works
DeveloperBigObject, Inc.Sequoiadb Ltd.Splice Machine
Initial release201520132014
Current release3.1, March 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes 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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
proprietary 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 proceduresLuaJavaScriptyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnosimple password-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
BigObjectSequoiadbSplice Machine
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