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DBMS > Oracle Rdb vs. Splice Machine vs. STSdb vs. SurrealDB

System Properties Comparison Oracle Rdb vs. Splice Machine vs. STSdb vs. SurrealDB

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Editorial information provided by DB-Engines
NameOracle Rdb  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.oracle.com/­database/­technologies/­related/­rdb.htmlsplicemachine.comgithub.com/­STSSoft/­STSdb4surrealdb.com
Technical documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsplicemachine.com/­how-it-workssurrealdb.com/­docs
DeveloperOracle, originally developed by Digital Equipment Corporation (DEC)Splice MachineSTS Soft SCSurrealDB Ltd
Initial release1984201420112022
Current release7.4.1.1, 20213.1, March 20214.0.8, September 2015v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license 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 systemsHP Open VMSLinux
OS X
Solaris
Windows
WindowsLinux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesyesyesno
SQL infoSupport of SQLyesyesnoSQL-like query language
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
.NET Client APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoJavano
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnoACID
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoyes, based on authentication and database rules

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More resources
Oracle RdbSplice MachineSTSdbSurrealDB
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