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DBMS > HEAVY.AI vs. Lovefield vs. Microsoft Azure AI Search vs. RethinkDB vs. SQream DB

System Properties Comparison HEAVY.AI vs. Lovefield vs. Microsoft Azure AI Search vs. RethinkDB vs. SQream DB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRethinkDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA 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 JavaScriptSearch-as-a-service for web and mobile app developmentDBMS for the Web with a mechanism to push updated query results to applications in realtime.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSSearch engineDocument storeRelational DBMS
Secondary database modelsSpatial DBMSVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score2.74
Rank#105  Overall
#19  Document stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchrethinkdb.comsqream.com
Technical documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchrethinkdb.com/­docsdocs.sqream.com
DeveloperHEAVY.AI, Inc.GoogleMicrosoftThe Linux Foundation infosince July 2017SQream Technologies
Initial release20162014201520092017
Current release5.10, January 20222.1.12, February 2017V12.4.1, August 20202022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaScriptC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
OS X
Windows
Linux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometryyes, ANSI Standard SQL Types
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 indexesnoyesyesyesno
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnonoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
RESTful HTTP API.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC#
Java
JavaScript
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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions in Python
TriggersnoUsing read-only observersnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding infoImplicit feature of the cloud serviceSharding inforange basedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousing Azure authenticationyes infousers and table-level permissions

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMicrosoft Azure AI SearchRethinkDBSQream DB
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