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DBMS > FoundationDB vs. H2 vs. Machbase Neo vs. Qdrant vs. Valentina Server

System Properties Comparison FoundationDB vs. H2 vs. Machbase Neo vs. Qdrant vs. Valentina Server

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonQdrant  Xexclude from comparisonValentina Server  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered 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.TimeSeries DBMS for AIoT and BigDataA high-performance vector database with neural network or semantic-based matchingObject-relational database and reports server
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMSVector DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.h2database.commachbase.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.valentina-db.net
Technical documentationapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmlmachbase.com/­dbmsqdrant.tech/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperFoundationDBThomas MuellerMachbaseQdrantParadigma Software
Initial release20132005201320211999
Current release6.2.28, November 20202.2.220, July 2023V8.0, August 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree test version availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCRust
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasyesyesschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesNumbers, Strings, Geo, Booleanyes
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
Secondary indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
JavaC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresin SQL-layer onlyJava Stored Procedures and User-Defined Functionsnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factorCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple password-based access controlKey-based authenticationfine grained access rights according to SQL-standard

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More resources
FoundationDBH2Machbase Neo infoFormer name was InfinifluxQdrantValentina Server
Recent citations in the news

FoundationDB team’s new venture, Antithesis, raises $47M to enhance software testing
13 February 2024, SiliconANGLE News

Antithesis Launches Out Of Stealth To Revolutionize Software Reliability
13 February 2024, PR Newswire

Antithesis raises $47M to launch an automated testing platform for software
13 February 2024, TechCrunch

Apple Acquires FoundationDB
24 March 2015, blogs.wsj.com

Apple's FoundationDB takes new Record Layer open source, confirms tech underpins CloudKit
14 January 2019, AppleInsider

provided by Google News

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

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2 July 2024, VentureBeat

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, businesswire.com

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks & Files

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A Look at Valentina
18 April 2014, SitePoint

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7 December 2018, H2S Media

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