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DBMS > Google Cloud Datastore vs. HBase vs. InterSystems IRIS vs. Sequoiadb

System Properties Comparison Google Cloud Datastore vs. HBase vs. InterSystems IRIS vs. Sequoiadb

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHBase  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWide-column store based on Apache Hadoop and on concepts of BigTableA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeWide column storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitecloud.google.com/­datastorehbase.apache.orgwww.intersystems.com/­products/­intersystems-iriswww.sequoiadb.com
Technical documentationcloud.google.com/­datastore/­docshbase.apache.org/­book.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetInterSystemsSequoiadb Ltd.
Initial release2008200820182013
Current release2.3.4, January 20212023.3, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
AIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeschema-freeschema-free, schema definition possibledepending on used data modelschema-free
Typing infopredefined data types such as float or dateyes, details hereoptions to bring your own types, AVROyesyes infooid, date, timestamp, binary, regex
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesSQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresusing Google App Engineyes infoCoprocessors in JavayesJavaScript
TriggersCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsSingle row ACID (across millions of columns)ACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyessimple password-based access control
More information provided by the system vendor
Google Cloud DatastoreHBaseInterSystems IRISSequoiadb
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Google Cloud DatastoreHBaseInterSystems IRISSequoiadb
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