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DBMS > Google BigQuery vs. Infobright vs. SAP HANA vs. Teradata Aster

System Properties Comparison Google BigQuery vs. Infobright vs. SAP HANA vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInfobright  Xexclude from comparisonSAP HANA  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service with append-only tablesHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendIn-memory, column based data store. Available as appliance or cloud servicePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSRelational 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
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitecloud.google.com/­bigqueryignitetech.com/­softwarelibrary/­infobrightdbwww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigquery/­docshelp.sap.com/­hana
DeveloperGoogleIgnite Technologies Inc.; formerly InfoBright Inc.SAPTeradata
Initial release2010200520102005
Current release2.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercial
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
Server operating systemshostedLinux
Windows
Appliance or cloud-serviceLinux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesnono infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLyesyesyesyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoSQLScript, RR packages
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACID
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 privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyesfine grained access rights according to SQL-standard

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More resources
Google BigQueryInfobrightSAP HANATeradata Aster
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