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DBMS > Google Cloud Bigtable vs. InterSystems IRIS vs. Snowflake

System Properties Comparison Google Cloud Bigtable vs. InterSystems IRIS vs. Snowflake

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSnowflake  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 scalabilityCloud-based data warehousing service for structured and semi-structured data
Primary database modelWide column storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.27
Rank#85  Overall
#6  Wide column stores
Score2.06
Rank#121  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#60  Relational DBMS
Score64.19
Rank#18  Overall
#12  Relational DBMS
Websitecloud.google.com/­bigtablewww.intersystems.com/­products/­intersystems-iriswww.snowflake.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.snowflake.net/­manuals/­index.html
DeveloperGoogleInterSystemsSnowflake Computing Inc.
Initial release201520182014
Current release2021.1, June 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedAIX
Linux
macOS
Windows
hosted
Data schemeschema-freedepending on used data modelyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenoyesyes
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.noyesyes
Secondary indexesnoyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Google Cloud BigtableInterSystems IRISSnowflake
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