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DBMS > Google BigQuery vs. Sadas Engine vs. SAP HANA vs. ToroDB

System Properties Comparison Google BigQuery vs. Sadas Engine vs. SAP HANA vs. ToroDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonSadas Engine  Xexclude from comparisonSAP HANA  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service with append-only tablesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsIn-memory, column based data store. Available as appliance or cloud serviceA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
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
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitecloud.google.com/­bigquerywww.sadasengine.comwww.sap.com/­products/­hana.htmlgithub.com/­torodb/­server
Technical documentationcloud.google.com/­bigquery/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationhelp.sap.com/­hana
DeveloperGoogleSADAS s.r.l.SAP8Kdata
Initial release2010200620102016
Current release8.02.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedAIX
Linux
Windows
Appliance or cloud-serviceAll OS with a Java 7 VM
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoSQLScript, R
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDno
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.noyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles according to SQL-standardyesAccess rights for users and roles

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More resources
Google BigQuerySadas EngineSAP HANAToroDB
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