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DBMS > Google Cloud Datastore vs. Pinecone vs. SQream DB

System Properties Comparison Google Cloud Datastore vs. Pinecone vs. SQream DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonPinecone  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA managed, cloud-native vector databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitecloud.google.com/­datastorewww.pinecone.iosqream.com
Technical documentationcloud.google.com/­datastore/­docsdocs.pinecone.io/­docs/­overviewdocs.sqream.com
DeveloperGooglePinecone Systems, IncSQream Technologies
Initial release200820192017
Current release2022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, CUDA, Haskell, Java, Scala
Server operating systemshostedhostedLinux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereString, Number, Booleanyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query language (GQL)noyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API.Net
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
PythonC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresusing Google App Engineuser defined functions in Python
TriggersCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Google Cloud DatastorePineconeSQream DB
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