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DBMS > FeatureBase vs. HEAVY.AI vs. InfinityDB vs. Ingres vs. Machbase Neo

System Properties Comparison FeatureBase vs. HEAVY.AI vs. InfinityDB vs. Ingres vs. Machbase Neo

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInfinityDB  Xexclude from comparisonIngres  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  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 hardwareA Java embedded Key-Value Store which extends the Java Map interfaceWell established RDBMSTimeSeries DBMS for AIoT and BigData
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSTime Series 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
Score0.00
Rank#383  Overall
#59  Key-value stores
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Websitewww.featurebase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
boilerbay.comwww.actian.com/­databases/­ingresmachbase.com
Technical documentationdocs.featurebase.comdocs.heavy.aiboilerbay.com/­infinitydb/­manualdocs.actian.com/­ingresmachbase.com/­dbms
DeveloperMolecula and Pilosa Open Source ContributorsHEAVY.AI, Inc.Boiler Bay Inc.Actian CorporationMachbase
Initial release2017201620021974 infooriginally developed at University Berkely in early 1970s2013
Current release2022, May 20225.10, January 20224.012.0, July 2024V8.0, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial infofree test version available
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 CUDAJavaCC
Server operating systemsLinux
macOS
LinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nononono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnonono infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLSQL queriesyesnoyesSQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
Vega
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC/Thrift
Python
JavaC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneIngres Replicatorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes infovolatile and lookup table
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardsimple password-based access control

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More resources
FeatureBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfinityDBIngresMachbase Neo infoFormer name was Infiniflux
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