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

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A 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 workloads
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteatoti.iogithub.com/­heavyai/­heavydb
www.heavy.ai
sqream.com
Technical documentationdocs.atoti.iodocs.heavy.aidocs.sqream.com
DeveloperActiveViamHEAVY.AI, Inc.SQream Technologies
Initial release20162017
Current release5.10, January 20222022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; enterprise edition availablecommercial
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 languageJavaC++ and CUDAC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Types
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.no
Secondary indexesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonnouser defined functions in Python
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoRound robinhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
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-standard

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More resources
atotiHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SQream DB
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