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DBMS > Google Cloud Datastore vs. NCache vs. Rockset vs. SQream DB

System Properties Comparison Google Cloud Datastore vs. NCache vs. Rockset vs. SQream DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonNCache  Xexclude from comparisonRockset  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformOpen-Source and Enterprise in-memory Key-Value StoreA scalable, reliable search and analytics service in the cloud, built on RocksDBa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeKey-value storeDocument storeRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitecloud.google.com/­datastorewww.alachisoft.com/­ncacherockset.comsqream.com
Technical documentationcloud.google.com/­datastore/­docswww.alachisoft.com/­resources/­docsdocs.rockset.comdocs.sqream.com
DeveloperGoogleAlachisoftRocksetSQream Technologies
Initial release2008200520192017
Current release5.3.3, April 20242022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#, .NET, .NET Core, JavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
Windows
hostedLinux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes, details herepartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counterdynamic typingyes, 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.nonono infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.Read-only SQL queries, including JOINsyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP REST.Net
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresusing Google App Engineno infosupport for stored procedures with SQL-Server CLRnouser defined functions in Python
TriggersCallbacks using the Google Apps Engineyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesAutomatic shardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes, with selectable consistency levelyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnono
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.Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsoptimistic locking and pessimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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, groups and roles based on Google Cloud Identity and Access Management (IAM)Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Google Cloud DatastoreNCacheRocksetSQream DB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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Google Cloud DatastoreNCacheRocksetSQream DB
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