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DBMS > FoundationDB vs. IRONdb vs. Postgres-XL vs. Qdrant vs. Spark SQL

System Properties Comparison FoundationDB vs. IRONdb vs. Postgres-XL vs. Qdrant vs. Spark SQL

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonIRONdb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQdrant  Xexclude from comparisonSpark SQL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high-performance vector database with neural network or semantic-based matchingSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score1.28
Rank#167  Overall
#7  Vector DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.circonus.com/solutions/time-series-database/www.postgres-xl.orggithub.com/­qdrant/­qdrant
qdrant.tech
spark.apache.org/­sql
Technical documentationapple.github.io/­foundationdbdocs.circonus.com/irondb/category/getting-startedwww.postgres-xl.org/­documentationqdrant.tech/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFoundationDBCirconus LLC.QdrantApache Software Foundation
Initial release201320172014 infosince 2012, originally named StormDB20212014
Current release6.2.28, November 2020V0.10.20, January 201810 R1, October 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMozilla public licenseOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++CRustScala
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingyes infotext, numeric, histogramsyesNumbers, 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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesnonoyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query language (Circonus Analytics Query Language: CAQL)yes infodistributed, parallel query executionnoSQL-like DML and DDL statements
APIs and other access methodsHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyyes, in Luauser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodehorizontal partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardKey-based authenticationno

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More resources
FoundationDBIRONdbPostgres-XLQdrantSpark SQL
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