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DBMS > FoundationDB vs. Linter vs. Qdrant vs. Splice Machine

System Properties Comparison FoundationDB vs. Linter vs. Qdrant vs. Splice Machine

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonLinter  Xexclude from comparisonQdrant  Xexclude from comparisonSplice Machine  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.RDBMS for high security requirementsA high-performance vector database with neural network or semantic-based matchingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSVector DBMSRelational DBMS
Secondary database modelsSpatial 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
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­apple/­foundationdblinter.rugithub.com/­qdrant/­qdrant
qdrant.tech
splicemachine.com
Technical documentationapple.github.io/­foundationdbqdrant.tech/­documentationsplicemachine.com/­how-it-works
DeveloperFoundationDBrelex.ruQdrantSplice Machine
Initial release2013199020212014
Current release6.2.28, November 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++RustJava
Server operating systemsLinux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasyesschema-freeyes
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.nono
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesnoyes
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoJava
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardKey-based authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
FoundationDBLinterQdrantSplice Machine
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