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DBMS > ClickHouse vs. HEAVY.AI vs. Lovefield vs. XTDB

System Properties Comparison ClickHouse vs. HEAVY.AI vs. Lovefield vs. XTDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.71
Rank#46  Overall
#30  Relational DBMS
Score1.30
Rank#149  Overall
#72  Relational DBMS
Score0.20
Rank#290  Overall
#136  Relational DBMS
Score0.00
Rank#356  Overall
#47  Document stores
Websiteclickhouse.techgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldgithub.com/­xtdb/­xtdb
xtdb.com
Technical documentationclickhouse.tech/­docsdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdxtdb.com/­docs
DeveloperClickhouse Inc.HEAVY.AI, Inc.GoogleJuxt Ltd.
Initial release2016201620142019
Current releasev22.6.1.1985-stable, June 20225.10, January 20222.1.12, February 20171.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoMIT License
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++C++ and CUDAJavaScriptClojure
Server operating systemsFreeBSD
Linux
macOS
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 indexesnonoyesyes
SQL infoSupport of SQLClose to ANSI SQLyesSQL-like query language infovia JavaScript builder patternlimited SQL, making use of Apache Calcite
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Thrift
Vega
HTTP REST
JDBC
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
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptClojure
Java
Server-side scripts infoStored proceduresnononono
TriggersnonoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardno
More information provided by the system vendor
ClickHouseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldXTDB infoformerly named Crux
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
ClickHouseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldXTDB infoformerly named Crux
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