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DBMS > ClickHouse vs. Google Cloud Bigtable

System Properties Comparison ClickHouse vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.70
Rank#78  Overall
#41  Relational DBMS
Score2.25
Rank#106  Overall
#7  Wide column stores
Websiteclickhouse.yandexcloud.google.com/­bigtable
Technical documentationclickhouse.yandex/­docscloud.google.com/­bigtable/­docs
DeveloperYandex LLCGoogle
Initial release20162015
Current releasev19.13.3.26, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshosted
Data schemeschema-free
Typing infopredefined data types such as float or dateno
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.no
Secondary indexesno
SQL infoSupport of SQLno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
ClickHouseGoogle Cloud Bigtable
Recent citations in the news

From Russia with OLAP: Percona uses ClickHouse analytics - Open Source Insider
10 October 2019, ComputerWeekly.com

Time Series Databases, the Future of Monitoring and Logging
3 December 2019, Security Boulevard

Data Monoliths Go Cloud-Native with Kubernetes
31 October 2019, DevOps.com

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

Percona Announces Enhanced Version of Award-Winning Open Source Database Monitoring and Management Platform, For Faster Performance Issue Resolution
1 October 2019, GlobeNewswire

provided by Google News

AWS vs. Google Cloud: After a big 2019, what does 2020 hold?
15 January 2020, TechGenix

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

Secrets at Planet-Scale: Engineering the Internal Google KMS
14 January 2020, InfoQ.com

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

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

provided by Google News

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