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DBMS > Databricks vs. HEAVY.AI vs. Hyprcubd vs. Kinetica vs. RethinkDB

System Properties Comparison Databricks vs. HEAVY.AI vs. Hyprcubd vs. Kinetica vs. RethinkDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyprcubd  Xexclude from comparisonKinetica  Xexclude from comparisonRethinkDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareServerless Time Series DBMSFully vectorized database across both GPUs and CPUsDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitewww.databricks.comgithub.com/­heavyai/­heavydb
www.heavy.ai
hyprcubd.com (offline)www.kinetica.comrethinkdb.com
Technical documentationdocs.databricks.comdocs.heavy.aidocs.kinetica.comrethinkdb.com/­docs
DeveloperDatabricksHEAVY.AI, Inc.Hyprcubd, Inc.KineticaThe Linux Foundation infosince July 2017
Initial release2013201620122009
Current release5.10, January 20227.1, August 20212.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAGoC, C++C++
Server operating systemshostedLinuxhostedLinuxLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes infostring, binary, float, bool, date, geometry
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.yesnononono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
gRPC (https)JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functions
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardtoken accessAccess rights for users and roles on table levelyes infousers and table-level permissions
More information provided by the system vendor
DatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyprcubdKineticaRethinkDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyprcubdKineticaRethinkDB
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