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DBMS > Amazon Redshift vs. openGemini vs. Oracle vs. Sadas Engine vs. Splice Machine

System Properties Comparison Amazon Redshift vs. openGemini vs. Oracle vs. Sadas Engine vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonopenGemini  Xexclude from comparisonOracle  Xexclude from comparisonSadas Engine  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityWidely used RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.opengemini.org
github.com/­openGemini
www.oracle.com/­databasewww.sadasengine.comsplicemachine.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.opengemini.org/­guidedocs.oracle.com/­en/­databasewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-works
DeveloperAmazon (based on PostgreSQL)Huawei and openGemini communityOracleSADAS s.r.l.Splice Machine
Initial release20122022198020062014
Current release1.1, July 202323c, September 20238.03.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial inforestricted free version is availablecommercial infofree trial version availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC and C++C++Java
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes infoSchemaless in JSON and XML columnsyesyes
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringyesyesyes
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.nonoyesno
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageyes infowith proprietary extensionsyesyes
APIs and other access methodsJDBC
ODBC
HTTP RESTJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoPL/SQL infoalso stored procedures in Java possiblenoyes infoJava
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioninghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators and common users accountsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon RedshiftopenGeminiOracleSadas EngineSplice Machine
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