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DBMS > atoti vs. FoundationDB vs. Qdrant

System Properties Comparison atoti vs. FoundationDB vs. Qdrant

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFoundationDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Ordered key-value store. Core features are complimented by layers.A high-performance vector similarity Search Engine and vector Database with neural network or semantic-based matching
Primary database modelObject oriented DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#233  Overall
#11  Object oriented DBMS
Score1.46
Rank#175  Overall
#30  Document stores
#29  Key-value stores
#83  Relational DBMS
Score0.27
Rank#320  Overall
#23  Search engines
Websitewww.atoti.iogithub.com/­apple/­foundationdbgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationapple.github.io/­foundationdbqdrant.tech/­documentation
DeveloperActiveViamFoundationDBQdrant
Initial release20132021
Current release6.2.28, November 2020
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open 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 languageJavaC++Rust
Server operating systemsLinux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingNumbers, 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.no
Secondary indexesnoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)supported in specific SQL layer onlyno
APIs and other access methodsgRPC
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
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonin SQL-layer only
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoKey-based authentication

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More resources
atotiFoundationDBQdrant
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