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DBMS > HEAVY.AI vs. RethinkDB vs. SiteWhere vs. Teradata Aster

System Properties Comparison HEAVY.AI vs. RethinkDB vs. SiteWhere vs. Teradata Aster

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRethinkDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDBMS for the Web with a mechanism to push updated query results to applications in realtime.M2M integration platform for persisting/querying time series dataPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.33
Rank#150  Overall
#72  Relational DBMS
Score3.06
Rank#101  Overall
#19  Document stores
Score0.00
Rank#363  Overall
#34  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
rethinkdb.comsitewhere.io
Technical documentationdocs.heavy.airethinkdb.com/­docssitewhere.io/­docs/­2.1.0
DeveloperHEAVY.AI, Inc.The Linux Foundation infosince July 2017SiteWhereTeradata
Initial release2016200920102005
Current release5.10, January 20222.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2Open Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC++Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freepredefined schemeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesyes
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.nononoyes infoin Aster File Store
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoR packages
TriggersnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding inforange basedSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationselectable replication factor infobased on HBaseyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousers and table-level permissionsUsers with fine-grained authorization conceptfine 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 2022RethinkDBSiteWhereTeradata Aster
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
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Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
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Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
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Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
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HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RethinkDBSiteWhereTeradata Aster
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