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DBMS > FoundationDB vs. HarperDB vs. Spark SQL vs. STSdb

System Properties Comparison FoundationDB vs. HarperDB vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHarperDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeRelational DBMSKey-value store
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
Score0.55
Rank#248  Overall
#38  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegithub.com/­apple/­foundationdbwww.harperdb.iospark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationapple.github.io/­foundationdbdocs.harperdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFoundationDBHarperDBApache Software FoundationSTS Soft SC
Initial release2013201720142011
Current release6.2.28, November 20203.1, August 20213.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsScalaC#
Server operating systemsLinux
OS X
Windows
Linux
OS X
Linux
OS X
Windows
Windows
Data schemeschema-free infosome layers support schemasdynamic schemayesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyes infoJSON data typesyesyes infoprimitive types and user defined types (classes)
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 indexesnoyesnono
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like data manipulation statementsSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
.NET Client API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresin SQL-layer onlyCustom Functions infosince release 3.1nono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusteryes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definednonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess rights for users and rolesnono

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More resources
FoundationDBHarperDBSpark SQLSTSdb
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