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DBMS > Oracle NoSQL vs. RethinkDB vs. Splunk vs. SurrealDB

System Properties Comparison Oracle NoSQL vs. RethinkDB vs. Splunk vs. SurrealDB

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Editorial information provided by DB-Engines
NameOracle NoSQL  Xexclude from comparisonRethinkDB  Xexclude from comparisonSplunk  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesDBMS for the Web with a mechanism to push updated query results to applications in realtime.Analytics Platform for Big DataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Key-value store
Relational DBMS
Document storeSearch engineDocument store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.07
Rank#86  Overall
#15  Document stores
#11  Key-value stores
#47  Relational DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Score93.02
Rank#13  Overall
#2  Search engines
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.oracle.com/­database/­nosql/­technologies/­nosqlrethinkdb.comwww.splunk.comsurrealdb.com
Technical documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlrethinkdb.com/­docsdocs.splunk.com/­Documentation/­Splunksurrealdb.com/­docs
DeveloperOracleThe Linux Foundation infosince July 2017Splunk Inc.SurrealDB Ltd
Initial release2011200920032022
Current release24.1, May 20242.4.1, August 2020v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache Version 2commercial infoLimited free edition and free developer edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Rust
Server operating systemsLinux
Solaris SPARC/x86
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyes infostring, binary, float, bool, date, geometryyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnono infoSplunk Search Processing Language for search commandsSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP RESTGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
Go
Java
JavaScript (Node.js)
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C#
Java
JavaScript
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes
TriggersnoClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataconfigurable infoACID within a storage node (=shard)Atomic single-document operationsno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
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 cachenono
User concepts infoAccess controlAccess rights for users and rolesyes infousers and table-level permissionsAccess rights for users and rolesyes, based on authentication and database rules

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Oracle NoSQLRethinkDBSplunkSurrealDB
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