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

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

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonEJDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Spatial and temporal data processing engine for extreme data scaleAutomatically 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
Secondary database modelsTime Series 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
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/­ejdbgeospock.comcloud.google.com/­datastorewww.intersystems.com/­products/­intersystems-iris
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAltibaseSoftmotionsGeoSpockGoogleInterSystems
Initial release1999201220082018
Current releasev7.3, 2023, August 20232.0, September 20192023.3, June 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoGPLv2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava, Javascript
Server operating systemsAIX
HP-UX
Linux
server-lesshostedhostedAIX
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 indexesyesnotemporal, categoricalyesyes
SQL infoSupport of SQLANSI SQL-92noANSI SQL for query only (using Presto)SQL-like query language (GQL)yes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
in-process shared libraryJDBCgRPC (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
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnonousing Google App Engineyes
TriggersyesnonoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 possiblenoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
AltibaseEJDBGeoSpockGoogle Cloud DatastoreInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
AltibaseEJDBGeoSpockGoogle Cloud DatastoreInterSystems IRIS
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