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DBMS > BigObject vs. Google BigQuery vs. InterSystems IRIS vs. SAP HANA vs. Snowflake

System Properties Comparison BigObject vs. Google BigQuery vs. InterSystems IRIS vs. SAP HANA vs. Snowflake

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSAP HANA  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesLarge scale data warehouse service with append-only tablesA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityIn-memory, column based data store. Available as appliance or cloud serviceCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitebigobject.iocloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-iriswww.sap.com/­products/­hana.htmlwww.snowflake.com
Technical documentationdocs.bigobject.iocloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clshelp.sap.com/­hanadocs.snowflake.net/­manuals/­index.html
DeveloperBigObject, Inc.GoogleInterSystemsSAPSnowflake Computing Inc.
Initial release20152010201820102014
Current release2023.3, June 20232.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono infoalso available as a cloud based serviceyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
Linux
macOS
Ubuntu
Windows
Appliance or cloud-servicehosted
Data schemeyesyesdepending on used data modelyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyesyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuauser defined functions infoin JavaScriptyesSQLScript, Ruser defined functions
Triggersnonoyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyesyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
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.yesnoyesyesno
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesyesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
BigObjectGoogle BigQueryInterSystems IRISSAP HANASnowflake
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
BigObjectGoogle BigQueryInterSystems IRISSAP HANASnowflake
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