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

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

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Object oriented DBMS
Document storeDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteorigodb.compouchdb.comrockset.comspark.apache.org/­sql
Technical documentationorigodb.com/­docspouchdb.com/­guidesdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRobert Friberg et alApache Software FoundationRocksetApache Software Foundation
Initial release2009 infounder the name LiveDB201220192014
Current release7.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaScriptC++Scala
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsnodynamic typingyes
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 .NETnono infoingestion from XML files supportedno
Secondary indexesyesyes infovia viewsall fields are automatically indexedno
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP RESTJDBC
ODBC
Supported programming languages.NetJavaScriptGo
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesView functions in JavaScriptnono
Triggersyes infoDomain Eventsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungeAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritydepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based authorizationnoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
OrigoDBPouchDBRocksetSpark SQL
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