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DBMS > Brytlyt vs. Databricks vs. HEAVY.AI vs. Realm vs. SiteWhere

System Properties Comparison Brytlyt vs. Databricks vs. HEAVY.AI vs. Realm vs. SiteWhere

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatabricks  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRealm  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLThe 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 hardwareA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitebrytlyt.iowww.databricks.comgithub.com/­heavyai/­heavydb
www.heavy.ai
realm.iogithub.com/­sitewhere/­sitewhere
Technical documentationdocs.brytlyt.iodocs.databricks.comdocs.heavy.airealm.io/­docssitewhere1.sitewhere.io/­index.html
DeveloperBrytlytDatabricksHEAVY.AI, Inc.Realm, acquired by MongoDB in May 2019SiteWhere
Initial release20162013201620142010
Current release5.0, August 20235.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++ and CUDAJava
Server operating systemsLinux
OS X
Windows
hostedLinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyespredefined scheme
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.yes infospecific XML-type available, but no XML query functionality.yesnonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyeswith Databricks SQLyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Python
R
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions and aggregatesnono inforuns within the applications so server-side scripts are unnecessary
Triggersyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infoIn-Memory realmno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept
More information provided by the system vendor
BrytlytDatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RealmSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BrytlytDatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RealmSiteWhere
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