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DBMS > FoundationDB vs. OpenMLDB vs. Qdrant

System Properties Comparison FoundationDB vs. OpenMLDB vs. Qdrant

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQdrant  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.An open-source machine learning database that provides a feature platform for training and inferenceA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSVector DBMS
Secondary database modelsRelational 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
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websitegithub.com/­apple/­foundationdbopenmldb.aigithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationapple.github.io/­foundationdbopenmldb.ai/­docs/­zh/­mainqdrant.tech/­documentation
DeveloperFoundationDB4 Paradigm Inc.Qdrant
Initial release201320202021
Current release6.2.28, November 20202024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Java, ScalaRust
Server operating systemsLinux
OS X
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeschema-free infosome layers support schemasFixed schemaschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesNumbers, Strings, Geo, Boolean
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.nono
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLsupported in specific SQL layer onlyyesno
APIs and other access methodsJDBC
SQLAlchemy
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Go
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresin SQL-layer onlyno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardKey-based authentication

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More resources
FoundationDBOpenMLDBQdrant
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