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DBMS > ClickHouse vs. Datastax Enterprise vs. LeanXcale

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. LeanXcale

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonLeanXcale  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.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSWide column storeKey-value store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#55  Overall
#31  Relational DBMS
Score8.42
Rank#49  Overall
#4  Wide column stores
Score0.31
Rank#261  Overall
#45  Key-value stores
#120  Relational DBMS
Websiteclickhouse.techwww.datastax.com/­products/­datastax-enterprisewww.leanxcale.com
Technical documentationclickhouse.tech/­docsdocs.datastax.com
DeveloperYandex LLCDataStaxLeanXcale
Initial release201620112015
Current releasev20.9.3.45-stable, October 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
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infothrough Apache Derby
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
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
C
Java
Scala
Server-side scripts infoStored proceduresnono
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computing
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 object
More information provided by the system vendor
ClickHouseDatastax EnterpriseLeanXcale
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Full ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
15 beta testers
» more
Licensing and pricing modelsAnnual subscription
» more
annual fee covering license and support based on number of physical cores
» 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 EnterpriseLeanXcale
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