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DBMS > FeatureBase vs. HEAVY.AI vs. Ingres vs. Tibero vs. UniData,UniVerse

System Properties Comparison FeatureBase vs. HEAVY.AI vs. Ingres vs. Tibero vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonTibero  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSA secure RDBMS, designed for easy portability from OracleMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score1.46
Rank#151  Overall
#70  Relational DBMS
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Websitewww.featurebase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingresus.tmaxsoft.com/­products/­tiberowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.featurebase.comdocs.heavy.aidocs.actian.com/­ingrestechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperMolecula and Pilosa Open Source ContributorsHEAVY.AI, Inc.Actian CorporationTmaxSoftRocket Software
Initial release201720161974 infooriginally developed at University Berkely in early 1970s20031985
Current release2022, May 20225.10, January 202212.0, July 20247, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDACC and AssemblerC
Server operating systemsLinux
macOS
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.nonono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL queriesyesyesyesyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyesPersistent Stored Procedure (PSM)yes
Triggersnonoyesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning infoby range, hash, list or compositenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationIngres ReplicatorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)Access rights according to SQL-standard and operating system based

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More resources
FeatureBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresTiberoUniData,UniVerse
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