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DBMS > Google BigQuery vs. Google Cloud Bigtable vs. Teradata

System Properties Comparison Google BigQuery vs. Google Cloud Bigtable vs. Teradata

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score35.08
Rank#24  Overall
#15  Relational DBMS
Score4.06
Rank#82  Overall
#7  Wide column stores
Score75.60
Rank#14  Overall
#9  Relational DBMS
Websitecloud.google.com/­bigquerycloud.google.com/­bigtablewww.teradata.com
Technical documentationcloud.google.com/­bigquery/­docscloud.google.com/­bigtable/­docsdocs.teradata.com
DeveloperGoogleGoogleTeradata
Initial release201020151984
Current releaseTeradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedhosted
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes
Secondary indexesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnoyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataAtomic single-row operationsACID
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.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Google BigQueryGoogle Cloud BigtableTeradata
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Recent citations in the news

Snowflake - A Rejoinder To 10 Bear Arguments
25 September 2020, Seeking Alpha

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

provided by Google News

Google Cloud makes it cheaper to run smaller workloads on Bigtable
7 April 2020, TechCrunch

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

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14 May 2019, Computer Business Review

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20 March 2019, InfoQ.com

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