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DBMS > Apache Phoenix vs. FileMaker vs. Google Cloud Datastore vs. IBM Db2 warehouse vs. InterSystems IRIS

System Properties Comparison Apache Phoenix vs. FileMaker vs. Google Cloud Datastore vs. IBM Db2 warehouse vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically 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 modelRelational DBMSRelational DBMSDocument storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitephoenix.apache.orgwww.claris.com/­filemakercloud.google.com/­datastorewww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iris
Technical documentationphoenix.apache.orgwww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperApache Software FoundationClaris infoa subsidiary of AppleGoogleIBMInterSystems
Initial release20141983200820142018
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201919.4.1, November 20212023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
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 languageJava
Server operating systemsLinux
Unix
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedhostedAIX
Linux
macOS
Ubuntu
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyes, 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.noyes infoA http query request can return the data in XML formatnono infoImport/export of XML data possibleyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infovia pluginsSQL-like query language (GQL)yesyes
APIs and other access methodsJDBCFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
PHP.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 proceduresuser defined functionsyesusing Google App EnginePL/SQL, SQL PLyes
TriggersnoyesCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14Multi-source replication using PaxosyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual 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 Consistency
Foreign keys infoReferential integritynoyesyes 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 persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancysimple rights management via user accounts and connection to external directory servicesAccess 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
Apache PhoenixFileMakerGoogle 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
Apache PhoenixFileMakerGoogle Cloud DatastoreIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRIS
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