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DBMS > Apache Druid vs. Brytlyt vs. HEAVY.AI vs. Infobright vs. Postgres-XL

System Properties Comparison Apache Druid vs. Brytlyt vs. HEAVY.AI vs. Infobright vs. Postgres-XL

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBrytlyt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInfobright  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable 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 hardwareHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score1.00
Rank#193  Overall
#90  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Websitedruid.apache.orgbrytlyt.iogithub.com/­heavyai/­heavydb
www.heavy.ai
ignitetech.com/­softwarelibrary/­infobrightdbwww.postgres-xl.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.brytlyt.iodocs.heavy.aiwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation and contributorsBrytlytHEAVY.AI, Inc.Ignite Technologies Inc.; formerly InfoBright Inc.
Initial release20122016201620052014 infosince 2012, originally named StormDB
Current release29.0.1, April 20245.0, August 20235.10, January 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2; enterprise edition availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC++ and CUDACC
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
LinuxLinux
Windows
Linux
macOS
Data schemeyes infoschema-less columns are supportedyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesyesnono infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLSQL for queryingyesyesyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnonouser defined functions
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoRound robinnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standard

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More resources
Apache DruidBrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfobrightPostgres-XL
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