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DBMS > Google Cloud Bigtable vs. MySQL vs. Teradata

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMySQL  Xexclude from comparisonTeradata  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.Widely used open source RDBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelWide column storeRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.06
Rank#82  Overall
#7  Wide column stores
Score1241.64
Rank#2  Overall
#2  Relational DBMS
Score75.60
Rank#14  Overall
#9  Relational DBMS
Websitecloud.google.com/­bigtablewww.mysql.comwww.teradata.com
Technical documentationcloud.google.com/­bigtable/­docsdev.mysql.com/­docdocs.teradata.com
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunTeradata
Initial release201519951984
Current release8.0.22, 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC and C++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-freeyesyes
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 indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infoSQL 2016 + extensions
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
Proprietary native API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding 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
Multi-source replication
Source-replica replication
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 integritynoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableMySQLTeradata
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Recent citations in the 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

Google Cloud Bigtable Replication Out of Beta After Just One Month
14 May 2019, Computer Business Review

Google Expands Cloud BigTable Replication Capabilities Globally in Beta
20 March 2019, InfoQ.com

Google Launches Cloud Bigtable, A Highly Scalable And Performant NoSQL Database
6 May 2015, TechCrunch

provided by Google News

Introducing Flexible Server in Azure Database for PostgreSQL & MySQL | Azure Friday - Microsoft
30 October 2020, Channel 9

Google Launches a New Serverless Database Migration Service
21 November 2020, InfoQ.com

Delphix Bets Big on MySQL, Mongo, and Couchbase with Select Connectors
17 November 2020, Security Boulevard

Global Relational Databases Software Market Top Manufacturers: Microsoft, MySQL, Oracle, SAP, PostgreSQL etc.
18 November 2020, The Daily Philadelphian

MySQL Training Service Market to witness high growth in near future
6 August 2020, News.MarketSizeForecasters.com

provided by Google News

Teradata Corporation (TDC) Rises 1.62% for November 23
23 November 2020, Equities.com

Tabcorp advances operations with Teradata AWS solution
24 November 2020, DataCenterNews Asia

Teradata Corporation - Consensus Indicates Potential 15.1% Upside
24 November 2020, DirectorsTalk Interviews

Teradata Stock Has More Than 20% Upside
30 October 2020, Forbes

Parallelising with TERADATA - The right way
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