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DBMS > FeatureBase vs. FoundationDB vs. H2 vs. HEAVY.AI vs. HyperSQL

System Properties Comparison FeatureBase vs. FoundationDB vs. H2 vs. HEAVY.AI vs. HyperSQL

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Ordered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Websitewww.featurebase.comgithub.com/­apple/­foundationdbwww.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
hsqldb.org
Technical documentationdocs.featurebase.comapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmldocs.heavy.aihsqldb.org/­web/­hsqlDocsFrame.html
DeveloperMolecula and Pilosa Open Source ContributorsFoundationDBThomas MuellerHEAVY.AI, Inc.
Initial release20172013200520162001
Current release2022, May 20226.2.28, November 20202.2.220, July 20235.10, January 20222.7.2, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition availableOpen Source infobased on BSD license
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++JavaC++ and CUDAJava
Server operating systemsLinux
macOS
Linux
OS X
Windows
All OS with a Java VMLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeyesschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes
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
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLSQL queriessupported in specific SQL layer onlyyesyesyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesJava
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
JavaAll languages supporting JDBC/ODBC/Thrift
Python
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresin SQL-layer onlyJava Stored Procedures and User-Defined FunctionsnoJava, SQL
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlyyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FeatureBaseFoundationDBH2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyperSQL infoalso known as HSQLDB
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