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DBMS > HEAVY.AI vs. OpenTSDB vs. ReductStore vs. SAP SQL Anywhere

System Properties Comparison HEAVY.AI vs. OpenTSDB vs. ReductStore vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenTSDB  Xexclude from comparisonReductStore  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareScalable Time Series DBMS based on HBaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
opentsdb.netgithub.com/­reductstore
www.reduct.store
www.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.heavy.aiopentsdb.net/­docs/­build/­html/­index.htmlwww.reduct.store/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperHEAVY.AI, Inc.currently maintained by Yahoo and other contributorsReductStore LLCSAP infoformerly Sybase
Initial release2016201120231992
Current release5.10, January 20221.9, March 202417, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoLGPLOpen Source infoBusiness Source License 1.1commercial
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 CUDAJavaC++, Rust
Server operating systemsLinuxLinux
Windows
Docker
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnumeric 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.nonoyes
Secondary indexesnonoyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API
Telnet API
HTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Erlang
Go
Java
Python
R
Ruby
C++
JavaScript (Node.js)
Python
Rust
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, in C/C++, Java, .Net or Perl
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on HBaseSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenTSDBReductStoreSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Recent citations in the news

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

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

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Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

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5 August 2016, KDnuggets

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1 June 2016, The New Stack

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11 July 2023, CybersecurityNews

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3 November 2022, PR Newswire

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9 December 2020, CRN

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