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DBMS > ClickHouse vs. Datastax Enterprise vs. Hazelcast vs. TerarkDB

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. Hazelcast vs. TerarkDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHazelcast  Xexclude from comparisonTerarkDB  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 widely adopted in-memory data gridA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSWide column storeKey-value storeKey-value store
Secondary database modelsDocument store
Graph DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score8.82
Rank#43  Overall
#4  Wide column stores
Score8.03
Rank#46  Overall
#5  Key-value stores
Score0.04
Rank#319  Overall
#53  Key-value stores
Websiteclickhouse.yandexwww.datastax.com/­products/­datastax-enterprisehazelcast.comgithub.com/­Terark/­terarkdb
Technical documentationclickhouse.yandex/­docsdocs.datastax.comhazelcast.org/­documentationgithub.com/­Terark/­terarkdb/­wiki
DeveloperYandex LLCDataStaxHazelcastTerark
Initial release2016201120082016
Current releasev19.13.3.26, August 20196.7, December 20183.12.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
All OS with a Java VM
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languageno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesno
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsone or two-phase-commit; repeatable reads; read commitedno
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 can be defined per objectRole-based access controlno
More information provided by the system vendor
ClickHouseDatastax EnterpriseHazelcastTerarkDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Hazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Hazelcast has an optimized, multi-threaded architecture that enables the highest...
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Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Hazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Hazelcast customers include 50 of the world’s largest financial services companies,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
Hazelcast provides both open source and commercial software. The open source offering...
» more

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More resources
ClickHouseDatastax EnterpriseHazelcastTerarkDB
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