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DBMS > OrigoDB vs. Rockset vs. Spark SQL vs. SurrealDB

System Properties Comparison OrigoDB vs. Rockset vs. Spark SQL vs. SurrealDB

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Object oriented DBMS
Document storeRelational DBMSDocument store
Graph 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
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteorigodb.comrockset.comspark.apache.org/­sqlsurrealdb.com
Technical documentationorigodb.com/­docsdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docs
DeveloperRobert Friberg et alRocksetApache Software FoundationSurrealDB Ltd
Initial release2009 infounder the name LiveDB201920142022
Current release3.5.0 ( 2.13), September 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++ScalaRust
Server operating systemsLinux
Windows
hostedLinux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesschema-free
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 supportedno
Secondary indexesyesall fields are automatically indexedno
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsSQL-like DML and DDL statementsSQL-like query language
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP RESTJDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.NetGo
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesnono
Triggersyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritydepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.yesno
User concepts infoAccess controlRole based authorizationAccess rights for users and organizations can be defined via Rockset consolenoyes, based on authentication and database rules

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More resources
OrigoDBRocksetSpark SQLSurrealDB
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