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DBMS > OrigoDB vs. Rockset vs. Sadas Engine vs. Spark SQL

System Properties Comparison OrigoDB vs. Rockset vs. Sadas Engine vs. Spark SQL

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Object oriented DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteorigodb.comrockset.comwww.sadasengine.comspark.apache.org/­sql
Technical documentationorigodb.com/­docsdocs.rockset.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRobert Friberg et alRocksetSADAS s.r.l.Apache Software Foundation
Initial release2009 infounder the name LiveDB201920062014
Current release8.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Sourcecommercialcommercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++C++Scala
Server operating systemsLinux
Windows
hostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsdynamic typingyesyes
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 infocan be achieved using .NETno infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexedyesno
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsyesSQL-like DML and DDL statements
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP RESTJDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languages.NetGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersyes infoDomain Eventsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlRole based authorizationAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standardno

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More resources
OrigoDBRocksetSadas EngineSpark SQL
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