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DBMS > FoundationDB vs. Hazelcast vs. Hyprcubd vs. Ingres vs. OpenMLDB

System Properties Comparison FoundationDB vs. Hazelcast vs. Hyprcubd vs. Ingres vs. OpenMLDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonOpenMLDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A widely adopted in-memory data gridServerless Time Series DBMSWell established RDBMSAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitegithub.com/­apple/­foundationdbhazelcast.comhyprcubd.com (offline)www.actian.com/­databases/­ingresopenmldb.ai
Technical documentationapple.github.io/­foundationdbhazelcast.org/­imdg/­docsdocs.actian.com/­ingresopenmldb.ai/­docs/­zh/­main
DeveloperFoundationDBHazelcastHyprcubd, Inc.Actian Corporation4 Paradigm Inc.
Initial release201320081974 infooriginally developed at University Berkely in early 1970s2020
Current release6.2.28, November 20205.3.6, November 202311.2, May 20222024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoCC++, Java, Scala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-free infosome layers support schemasschema-freeyesyesFixed schema
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes infotime, int, uint, float, stringyesyes
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.yes infothe object must implement a serialization strategynono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query languageSQL-like query languageyesyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
SQLAlchemy
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyyes infoEvent Listeners, Executor Servicesnoyesno
Triggersnoyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoRole-based access controltoken accessfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FoundationDBHazelcastHyprcubdIngresOpenMLDB
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