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DBMS > Blueflood vs. ClickHouse vs. Datomic

System Properties Comparison Blueflood vs. ClickHouse vs. Datomic

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonClickHouse  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraColumn-oriented Relational DBMS powering YandexDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#277  Overall
#21  Time Series DBMS
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score2.02
Rank#111  Overall
#54  Relational DBMS
Websiteblueflood.ioclickhouse.yandexwww.datomic.com
Technical documentationgithub.com/­rackerlabs/­blueflood/­wikiclickhouse.yandex/­docsdocs.datomic.com
DeveloperRackspaceYandex LLCCognitect
Initial release201320162012
Current releasev19.13.3.26, August 20190.9.5951, July 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure
Server operating systemsLinux
OS X
All OS with a Java VM
Data schemepredefined schemeyes
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 SQLnono
APIs and other access methodsHTTP RESTRESTful HTTP API
Supported programming languagesClojure
Java
Server-side scripts infoStored proceduresnoyes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlnono

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BluefloodClickHouseDatomic
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