DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. Google Cloud Bigtable vs. Tkrzw

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. Google Cloud Bigtable vs. Tkrzw

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Wide column store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigtabledbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigtable/­docs
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsGoogleMikio Hirabayashi
Initial release2012201620152020
Current release17030.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemshostedLinuxhostedLinux
macOS
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalnono
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.noyesnono
Secondary indexesrestrictedyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonono
APIs and other access methodsJDBC
ODBC
LDAPgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsAtomic single-row operations
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.yesyesnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftAtos Standard Common RepositoryGoogle Cloud BigtableTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Amazon Redshift now supports enhanced VPC routing warehouses in zero-ETL integration
16 September 2024, AWS Blog

Amazon Redshift Serverless now supports AWS PrivateLink
30 August 2024, AWS Blog

Amazon RDS for MySQL zero-ETL integration with Amazon Redshift, now generally available, enables near real-time analytics
12 September 2024, AWS Blog

Amazon Redshift Serverless is now available in the AWS Asia Pacific (Hong Kong) and Israel (Tel Aviv) Regions
12 September 2024, AWS Blog

Harness Zero Copy data sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics – Part 1
27 August 2024, AWS Blog

provided by Google News

Google Cloud adds graph processing to Spanner, SQL support to Bigtable
1 August 2024, InfoWorld

Google introduces Bigtable SQL access and Spanner's new AI-ready features
1 August 2024, ZDNet

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google expands BigQuery with Gemini, brings vector support to cloud databases
29 February 2024, VentureBeat

Google Cloud Adds GenAI, Core Enhancements Across Data Platform
1 August 2024, The New Stack

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here