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DBMS > Google Cloud Datastore vs. InterSystems IRIS vs. Microsoft Azure Synapse Analytics vs. STSdb vs. ToroDB

System Properties Comparison Google Cloud Datastore vs. InterSystems IRIS vs. Microsoft Azure Synapse Analytics vs. STSdb vs. ToroDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSTSdb  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitecloud.google.com/­datastorewww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­synapse-analyticsgithub.com/­STSSoft/­STSdb4github.com/­torodb/­server
Technical documentationcloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGoogleInterSystemsMicrosoftSTS Soft SC8Kdata
Initial release20082018201620112016
Current release2023.3, June 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#Java
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
hostedWindowsAll OS with a Java 7 VM
Data schemeschema-freedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyes infoprimitive types and user defined types (classes)yes infostring, integer, double, boolean, date, object_id
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
C#
Java
Server-side scripts infoStored proceduresusing Google App EngineyesTransact SQLno
TriggersCallbacks using the Google Apps Engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
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 ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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)yesyesnoAccess rights for users and roles
More information provided by the system vendor
Google Cloud DatastoreInterSystems IRISMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSTSdbToroDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Google Cloud DatastoreInterSystems IRISMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSTSdbToroDB
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