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DBMS > AgensGraph vs. Cachelot.io vs. Google Cloud Datastore vs. IBM Db2 warehouse vs. InterSystems IRIS

System Properties Comparison AgensGraph vs. Cachelot.io vs. Google Cloud Datastore vs. IBM Db2 warehouse vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCachelot.io  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLIn-memory caching systemAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelGraph DBMS
Relational DBMS
Key-value storeDocument storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score4.13
Rank#71  Overall
#12  Document stores
Score1.26
Rank#162  Overall
#73  Relational DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Websitebitnine.net/­agensgraphcachelot.iocloud.google.com/­datastorewww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iris
Technical documentationbitnine.net/­documentationcloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperBitnine Global Inc.GoogleIBMInterSystems
Initial release20162015200820142018
Current release2.1, December 20182023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoSimplified BSD Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedhostedAIX
Linux
macOS
Ubuntu
Windows
Data schemedepending on used data modelschema-freeschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesnoyes, details hereyesyes
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.nononono infoImport/export of XML data possibleyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoSQL-like query language (GQL)yesyes
APIs and other access methodsCypher Query Language
JDBC
Memcached protocolgRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnousing Google App EnginePL/SQL, SQL PLyes
TriggersnonoCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication using PaxosyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate 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 Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
AgensGraphCachelot.ioGoogle Cloud DatastoreIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
AgensGraphCachelot.ioGoogle Cloud DatastoreIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRIS
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