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DBMS > ClickHouse vs. Datastax Enterprise vs. Yaacomo

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. Yaacomo

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.86
Rank#67  Overall
#37  Relational DBMS
Score8.36
Rank#47  Overall
#4  Wide column stores
Score0.00
Rank#336  Overall
#137  Relational DBMS
Websiteclickhouse.techwww.datastax.com/­products/­datastax-enterpriseyaacomo.com
Technical documentationclickhouse.tech/­docsdocs.datastax.com
DeveloperYandex LLCDataStaxQ2WEB GmbH
Initial release201620112009
Current releasev20.3.8.53, April 20206.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsFreeBSD
Linux
macOS
Linux
OS X
Android
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like DML and DDL statements (CQL); Spark SQLyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single 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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseDatastax EnterpriseYaacomo
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ClickHouseDatastax EnterpriseYaacomo
Recent citations in the news

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

ClickHouse - from website clicks to ultra-fast analytics solution -
27 April 2020, Enterprise Times

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

provided by Google News

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12 May 2020, ZDNet

T-Mobile CIO Cody Sanford Headlines Second Installment of DataStax 'Accelerate: A NoSQL Original Series'
3 June 2020, Olean Times Herald

DataStax Astra: A DBaaS that simplifies cloud-native Apache Cassandra application development
14 May 2020, Help Net Security

DataStax Enterprise 6.8 Advances Cloud-Native Data and Bare-Metal Performance
7 April 2020, Business Wire

The 7 Best Graph Databases to Consider for 2020
28 May 2020, Solutions Review

provided by Google News

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