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DBMS > Amazon DocumentDB vs. Google Cloud Datastore vs. Ingres vs. InterSystems IRIS vs. Sadas Engine

System Properties Comparison Amazon DocumentDB vs. Google Cloud Datastore vs. Ingres vs. InterSystems IRIS vs. Sadas Engine

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIngres  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWell established RDBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument storeDocument storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­datastorewww.actian.com/­databases/­ingreswww.intersystems.com/­products/­intersystems-iriswww.sadasengine.com
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­datastore/­docsdocs.actian.com/­ingresdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGoogleActian CorporationInterSystemsSADAS s.r.l.
Initial release201920081974 infooriginally developed at University Berkely in early 1970s20182006
Current release11.2, May 20222023.3, June 20238.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnousing Google App Engineyesyesno
TriggersnoCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication using PaxosIngres ReplicatorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infovia ReferenceProperties or Ancestor pathsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.nonoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBGoogle Cloud DatastoreIngresInterSystems IRISSadas Engine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon DocumentDBGoogle Cloud DatastoreIngresInterSystems IRISSadas Engine
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