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DBMS > Amazon DocumentDB vs. Pinecone vs. Rockset vs. Valentina Server

System Properties Comparison Amazon DocumentDB vs. Pinecone vs. Rockset vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonPinecone  Xexclude from comparisonRockset  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA managed, cloud-native vector databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBObject-relational database and reports server
Primary database modelDocument storeVector DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.pinecone.iorockset.comwww.valentina-db.net
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.pinecone.io/­docs/­overviewdocs.rockset.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperPinecone Systems, IncRocksetParadigma Software
Initial release2019201920191999
Current release5.7.5
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesString, 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.nonono infoingestion from XML files supported
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIHTTP RESTODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
PythonGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBPineconeRocksetValentina Server
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