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DBMS > OrigoDB vs. RavenDB vs. Spark SQL

System Properties Comparison OrigoDB vs. RavenDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Object oriented DBMS
Document storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteorigodb.comravendb.netspark.apache.org/­sql
Technical documentationorigodb.com/­docsravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRobert Friberg et alHibernating RhinosApache Software Foundation
Initial release2009 infounder the name LiveDB20102014
Current release5.4, July 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C#Scala
Server operating systemsLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsnoyes
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
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like query language (RQL)SQL-like DML and DDL statements
APIs and other access methods.NET Client API
HTTP API
LINQ
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesno
Triggersyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritydepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyes
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 authorizationAuthorization levels configured per client per databaseno

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More resources
OrigoDBRavenDBSpark SQL
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