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DBMS > Google Cloud Datastore vs. Graph Engine vs. IBM Cloudant vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics

System Properties Comparison Google Cloud Datastore vs. Graph Engine vs. IBM Cloudant vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDatabase as a Service offering based on Apache CouchDBA multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument storeGraph DBMS
Key-value store
Document storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score2.68
Rank#106  Overall
#20  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitecloud.google.com/­datastorewww.graphengine.iowww.ibm.com/­products/­cloudantwww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analytics
Technical documentationcloud.google.com/­datastore/­docswww.graphengine.io/­docs/­manualcloud.ibm.com/­docs/­Cloudantdocs.intersystems.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGoogleMicrosoftIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014InterSystemsMicrosoft
Initial release20082010201019972016
Current release2018.1.4, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CErlangC++
Server operating systemshosted.NEThostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeyesschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyesyes
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.nononoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
C#
Java
PHP
Server-side scripts infoStored proceduresusing Google App EngineyesView functions (Map-Reduce) in JavaScriptyesTransact SQL
TriggersCallbacks using the Google Apps Enginenoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Source-replica replicationyes
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseAccess rights for users, groups and rolesyes

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More resources
Google Cloud DatastoreGraph Engine infoformer name: TrinityIBM CloudantInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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