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DBMS > Brytlyt vs. HEAVY.AI vs. PouchDB vs. Spark SQL

System Properties Comparison Brytlyt vs. HEAVY.AI vs. PouchDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#269  Overall
#125  Relational DBMS
Score1.29
Rank#153  Overall
#73  Relational DBMS
Score3.09
Rank#98  Overall
#18  Document stores
Score22.86
Rank#35  Overall
#21  Relational DBMS
Websitewww.brytlyt.comgithub.com/­heavyai/­heavydb
www.heavy.ai
pouchdb.comspark.apache.org/­sql
Technical documentationdocs.heavy.aipouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBrytlytHEAVY.AI, Inc.Apache Software FoundationApache Software Foundation
Initial release2016201620122014
Current release0.9, October 20165.10, January 20227.1.1, June 20193.2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoApache 2.0
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 CUDAC++ and CUDAJavaScriptScala
Server operating systemsLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesnoyes infovia viewsno
SQL infoSupport of SQLyesyesnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoView functions in JavaScriptno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono
More information provided by the system vendor
BrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PouchDBSpark SQL
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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3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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More resources
BrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PouchDBSpark SQL
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