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DBMS > Apache Doris vs. Brytlyt vs. GBase vs. HEAVY.AI vs. SiteWhere

System Properties Comparison Apache Doris vs. Brytlyt vs. GBase vs. HEAVY.AI vs. SiteWhere

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBrytlyt  Xexclude from comparisonGBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
brytlyt.iowww.gbase.cngithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­sitewhere/­sitewhere
Technical documentationgithub.com/­apache/­doris/­wikidocs.brytlyt.iodocs.heavy.aisitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduBrytlytGeneral Data Technology Co., Ltd.HEAVY.AI, Inc.SiteWhere
Initial release20172016200420162010
Current release1.2.2, February 20235.0, August 2023GBase 8a, GBase 8s, GBase 8c5.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoCommon Public Attribution License Version 1.0
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, Java, PythonC++ and CUDAJava
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeyesyesyesyespredefined scheme
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.yesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesyesStandard with numerous extensionsyesno
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
HTTP REST
Supported programming languagesJava.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin PL/pgSQLuser defined functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoRound robinSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesMulti-source replicationselectable 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 integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache DorisBrytlytGBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SiteWhere
Recent citations in the news

Streamlining Data Operations: How a Grocery Chain Optimizes Workloads with Apache Doris
16 May 2024, hackernoon.com

Using Arrow Flight SQL Protocol in Apache Doris 2.1 For Super Fast Data Transfer
8 May 2024, hackernoon.com

How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
1 September 2023, KDnuggets

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

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1 August 2023, PR Newswire

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22 December 2021, Silicon Canals

London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology
22 December 2021, EU-Startups

Bringing GPUs To Bear On Bog Standard Relational Databases
26 February 2018, The Next Platform

Brytlyt raises £3.8m for '1000x faster analytics'
22 December 2021, BusinessCloud

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Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, businesswire.com

Making the most of geospatial intelligence
14 April 2023, InfoWorld

OmniSci Gets HEAVY New Name and New CEO
1 March 2022, Datanami

The insideBIGDATA IMPACT 50 List for Q4 2023
11 October 2023, insideBIGDATA

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SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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9 March 2023, H2S Media

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