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DBMS > Oracle NoSQL vs. Splice Machine vs. Sqrrl vs. ToroDB

System Properties Comparison Oracle NoSQL vs. Splice Machine vs. Sqrrl vs. ToroDB

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Editorial information provided by DB-Engines
NameOracle NoSQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonSqrrl  Xexclude from comparisonToroDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store
Key-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.oracle.com/­database/­nosql/­technologies/­nosqlsplicemachine.comsqrrl.comgithub.com/­torodb/­server
Technical documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsplicemachine.com/­how-it-works
DeveloperOracleSplice MachineAmazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release2011201420122016
Current release23.3, December 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsLinux
Solaris SPARC/x86
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java 7 VM
Data schemeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes infostring, integer, double, boolean, date, object_id
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 statementsyesno
APIs and other access methodsRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoJavano
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication
Source-replica replication
selectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataconfigurable infoACID within a storage node (=shard)ACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 cacheyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles

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More resources
Oracle NoSQLSplice MachineSqrrlToroDB
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