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DBMS > Altibase vs. EJDB vs. FeatureBase vs. Google Cloud Datastore vs. InterSystems IRIS

System Properties Comparison Altibase vs. EJDB vs. FeatureBase vs. Google Cloud Datastore vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonEJDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Automatically 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 scalability
Primary database modelRelational DBMSDocument storeRelational DBMSDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitealtibase.comgithub.com/­Softmotions/­ejdbwww.featurebase.comcloud.google.com/­datastorewww.intersystems.com/­products/­intersystems-iris
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.featurebase.comcloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAltibaseSoftmotionsMolecula and Pilosa Open Source ContributorsGoogleInterSystems
Initial release19992012201720082018
Current releasev7.3, 2023, August 20232022, May 20222023.3, June 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoGPLv2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CGo
Server operating systemsAIX
HP-UX
Linux
server-lessLinux
macOS
hostedAIX
Linux
macOS
Ubuntu
Windows
Data schemeyesschema-freeyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes, details hereyes
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.nononoyes
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLANSI SQL-92noSQL queriesSQL-like query language (GQL)yes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
in-process shared librarygRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnousing Google App Engineyes
TriggersyesnonoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
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 Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyesyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
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)yes
More information provided by the system vendor
AltibaseEJDBFeatureBaseGoogle Cloud DatastoreInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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AltibaseEJDBFeatureBaseGoogle Cloud DatastoreInterSystems IRIS
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