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DBMS > ClickHouse vs. CrateDB vs. Dgraph vs. EsgynDB

System Properties Comparison ClickHouse vs. CrateDB vs. Dgraph vs. EsgynDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonCrateDB  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDistributed Date Store based on LuceneDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelRelational DBMSRelational DBMS
Search engine
Graph DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.68
Rank#45  Overall
#29  Relational DBMS
Score0.92
Rank#180  Overall
#87  Relational DBMS
#11  Search engines
Score1.74
Rank#129  Overall
#11  Graph DBMS
Score0.24
Rank#279  Overall
#128  Relational DBMS
Websiteclickhouse.techcrate.iodgraph.iowww.esgyn.cn
Technical documentationclickhouse.tech/­docscrate.io/­docsdgraph.io/­docs
DeveloperYandex LLCCrateDgraph Labs, Inc.Esgyn
Initial release2016201320162015
Current releasev20.11.3.3-stable, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoC++, Java
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java 7 (and higher) VMLinux
OS X
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to ANSI SQLyes, but no triggers and constraintsnoyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
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
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functionsnoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication via RaftMulti-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesrights management via user accountsno infoPlanned for future releasesfine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseCrateDBDgraphEsgynDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Horizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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More resources
ClickHouseCrateDBDgraphEsgynDB
Recent citations in the news

Speedy Column-Store ClickHouse Spins Out from Yandex, Raises $50M
24 September 2021, Datanami

ClickHouse, Inc. Announces Incorporation, Along With $50M In Series A Funding
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