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DBMS > HEAVY.AI vs. OpenEdge vs. OpenTSDB vs. Teradata Aster

System Properties Comparison HEAVY.AI vs. OpenEdge vs. OpenTSDB 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 comparisonOpenEdge  Xexclude from comparisonOpenTSDB  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 hardwareApplication development environment with integrated database management systemScalable Time Series DBMS based on HBasePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.progress.com/­openedgeopentsdb.net
Technical documentationdocs.heavy.aidocumentation.progress.com/­output/­ua/­OpenEdge_latestopentsdb.net/­docs/­build/­html/­index.html
DeveloperHEAVY.AI, Inc.Progress Software Corporationcurrently maintained by Yahoo and other contributorsTeradata
Initial release2016198420112005
Current release5.10, January 2022OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJava
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
Data schemeyesyesschema-freeFlexible 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 dateyesyesnumeric data for metrics, strings for tagsyes
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.noyesnoyes infoin Aster File Store
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyes infoclose to SQL 92noyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
HTTP API
Telnet API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Progress proprietary ABL (Advanced Business Language)Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesnoR packages
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning infosince Version 11.4Sharding 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 methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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-standardUsers and groupsnofine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenEdgeOpenTSDBTeradata Aster
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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Recent citations in the news

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, Business Wire

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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14 September 2014, Progress Software

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