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DBMS > RethinkDB vs. Splice Machine vs. STSdb vs. SurrealDB vs. Teradata

System Properties Comparison RethinkDB vs. Splice Machine vs. STSdb vs. SurrealDB vs. Teradata

Editorial information provided by DB-Engines
NameRethinkDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonSurrealDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDBMS for the Web with a mechanism to push updated query results to applications in realtime.Open-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 DBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeRelational DBMSKey-value storeDocument store
Graph DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.66
Rank#107  Overall
#20  Document stores
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
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiterethinkdb.comsplicemachine.comgithub.com/­STSSoft/­STSdb4surrealdb.comwww.teradata.com
Technical documentationrethinkdb.com/­docssplicemachine.com/­how-it-workssurrealdb.com/­docsdocs.teradata.com
DeveloperThe Linux Foundation infosince July 2017Splice MachineSTS Soft SCSurrealDB LtdTeradata
Initial release20092014201120221984
Current release2.4.1, August 20203.1, March 20214.0.8, September 2015v1.5.0, May 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC#Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
WindowsLinux
macOS
Windows
hosted
Linux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, binary, float, bool, date, geometryyesyes infoprimitive types and user defined types (classes)yesyes
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.noyes
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnoSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
.NET Client APIGraphQL
RESTful HTTP API
WebSocket
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC 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#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Deno
Go
JavaScript (Node.js)
Rust
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoJavanoyes infoUDFs, stored procedures, table functions in parallel
TriggersClient-side triggers through changefeedsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding inforange basedShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesYes, via Full Spark Integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCC basedyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standardnoyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
RethinkDBSplice MachineSTSdbSurrealDBTeradata
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