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DBMS > ClickHouse vs. Datastax Enterprise vs. Heroic

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. Heroic

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHeroic  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSWide column storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.31
Rank#65  Overall
#34  Relational DBMS
Score8.67
Rank#44  Overall
#4  Wide column stores
Score0.37
Rank#237  Overall
#15  Time Series DBMS
Websiteclickhouse.techwww.datastax.com/­products/­datastax-enterprisespotify.github.io/­heroic/­#!/­index
Technical documentationclickhouse.tech/­docsdocs.datastax.comspotify.github.io/­heroic/­#!/­docs/­overview
DeveloperYandex LLCDataStaxSpotify
Initial release201620112014
Current releasev20.3.8.53, April 20206.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
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++JavaJava
Server operating systemsFreeBSD
Linux
macOS
Linux
OS X
Data schemeyesschema-freeschema-free
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 infovia Elasticsearch
SQL infoSupport of SQLClose to ANSI SQLSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HQL (Heroic Query Language, a JSON-based language)
HTTP API
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 proceduresnonono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes
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
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsno
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per object
More information provided by the system vendor
ClickHouseDatastax EnterpriseHeroic
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 EnterpriseHeroic
Recent citations in the news

From Russia with OLAP: Percona uses ClickHouse analytics
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

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

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IBM Makes Three Key Open Source DBs Available on IBM Cloud
24 June 2020, Database Trends and Applications

DataStax Announces Cloud Native Database as a Service and AIOps Tools
23 June 2020, InfoQ.com

DataStax draws new path to AIOps: Vector for Apache Cassandra
17 June 2020, ComputerWeekly.com

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

provided by Google News

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