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

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

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonPinecone  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseA managed, cloud-native vector 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 processing
Primary database modelDocument store
Object oriented DBMS
Vector DBMSDocument storeRelational 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
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteorigodb.comwww.pinecone.iorockset.comspark.apache.org/­sql
Technical documentationorigodb.com/­docsdocs.pinecone.io/­docs/­overviewdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRobert Friberg et alPinecone Systems, IncRocksetApache Software Foundation
Initial release2009 infounder the name LiveDB201920192014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++Scala
Server operating systemsLinux
Windows
hostedhostedLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsString, Number, Booleandynamic 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 indexesyesall 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
RESTful HTTP APIHTTP RESTJDBC
ODBC
Supported programming languages.NetPythonGo
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
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 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.yesnono
User concepts infoAccess controlRole based authorizationAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
OrigoDBPineconeRocksetSpark SQL
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