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DBMS > FoundationDB vs. Ignite vs. Qdrant vs. Typesense

System Properties Comparison FoundationDB vs. Ignite vs. Qdrant vs. Typesense

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonIgnite  Xexclude from comparisonQdrant  Xexclude from comparisonTypesense  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A high-performance vector database with neural network or semantic-based matchingA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
Vector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitegithub.com/­apple/­foundationdbignite.apache.orggithub.com/­qdrant/­qdrant
qdrant.tech
typesense.org
Technical documentationapple.github.io/­foundationdbapacheignite.readme.io/­docsqdrant.tech/­documentationtypesense.org/­docs
DeveloperFoundationDBApache Software FoundationQdrant
Initial release2013201520212015
Current release6.2.28, November 2020Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, .NetRustC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeschema-free infosome layers support schemasyesschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateno infosome layers support typingyesNumbers, 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.yesno
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLsupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresin SQL-layer onlyyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Collection-level replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsKey-based authentication

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More resources
FoundationDBIgniteQdrantTypesense
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