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DBMS > Google Cloud Bigtable vs. InterSystems IRIS vs. Netezza vs. SiriDB vs. XTDB

System Properties Comparison Google Cloud Bigtable vs. InterSystems IRIS vs. Netezza vs. SiriDB vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Wide column store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.01
Rank#81  Overall
#12  Key-value stores
#8  Wide column stores
Score2.59
Rank#116  Overall
#23  Document stores
#21  Key-value stores
#2  Object oriented DBMS
#58  Relational DBMS
Score16.79
Rank#40  Overall
#25  Relational DBMS
Score0.19
Rank#330  Overall
#29  Time Series DBMS
Score0.23
Rank#314  Overall
#45  Document stores
Websitecloud.google.com/­bigtablewww.intersystems.com/­products/­intersystems-iriswww.ibm.com/­products/­netezzasiridb.comgithub.com/­xtdb/­xtdb
xtdb.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.siridb.comxtdb.com/­docs
DeveloperGoogleInterSystemsIBMCesbitJuxt Ltd.
Initial release20152018200020172019
Current release2021.1, June 20211.19, September 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMIT LicenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCClojure
Server operating systemshostedAIX
Linux
macOS
Windows
Linux infoincluded in applianceLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infoNumeric datayes, extensible-data-notation format
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.noyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP APIHTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Python
Clojure
Java
Server-side scripts infoStored proceduresnoyesyesnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationSource-replica replicationyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesUsers with fine-grained authorization conceptsimple rights management via user accounts

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More resources
Google Cloud BigtableInterSystems IRISNetezza infoAlso called PureData System for Analytics by IBMSiriDBXTDB infoformerly named Crux
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