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DBMS > HEAVY.AI vs. SQream DB vs. Yaacomo

System Properties Comparison HEAVY.AI vs. SQream DB vs. Yaacomo

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSQream DB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarea GPU-based, columnar RDBMS for big data analytics workloadsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#111  Overall
#55  Relational DBMS
Score0.90
Rank#232  Overall
#108  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
sqream.comyaacomo.com
Technical documentationdocs.heavy.aidocs.sqream.com
DeveloperHEAVY.AI, Inc.SQream TechnologiesQ2WEB GmbH
Initial release201620172009
Current release5.10, January 20222022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinuxAndroid
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.Net
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions in Python
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal and vertical partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SQream DBYaacomo
Specific characteristicsSQream allows companies to get answers from its data and get new business-insights...
» more
Competitive advantagesScalability when processing bigger datasets. Faster business insights, with more...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision-making,...
» more
Key customersSome of our customers include: LG-U+, AIS , ACL Mobile, Pubmatic, Telkomsel, LG Electronics
» more
News

The Quick Guide to Data Lakehouses: A New Era in Data Management
28 November 2023

Navigating the Era of Value Optimization in Big Data Analytics
21 November 2023

Unlocking Optimal Performance: Certifying L40S and H100 GPUs with SQream
16 November 2023

Harnessing Machine Learning for Fraud Detection: Navigating Through the Best Models and Techniques
14 November 2023

Embracing the Future of Big Data Tools with the Latest ChatGPT Release
8 November 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SQream DBYaacomo
Recent citations in the news

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time ML Capabilities
19 April 2023, Datanami

Making the most of geospatial intelligence
14 April 2023, InfoWorld

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

HEAVY.AI Delivers Digital Twin for Telco Network Planning and Operations Based on NVIDIA Omniverse
20 September 2022, Nvidia

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

provided by Google News

SQream Joins Samsung Cloud Platform Ecosystem
26 July 2023, PR Newswire

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Chinese giant Alibaba leads investment round in Israel big-data startup
30 May 2018, The Times of Israel

SQream lands $39.4M to turn data-storage chaos into business empowerment
25 June 2020, Geektime

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

provided by Google News

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