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DBMS > FoundationDB vs. GeoSpock vs. HarperDB vs. Postgres-XL

System Properties Comparison FoundationDB vs. GeoSpock vs. HarperDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonPostgres-XL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Spatial and temporal data processing engine for extreme data scaleUltra-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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
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
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegithub.com/­apple/­foundationdbgeospock.comwww.harperdb.iowww.postgres-xl.org
Technical documentationapple.github.io/­foundationdbdocs.harperdb.io/­docswww.postgres-xl.org/­documentation
DeveloperFoundationDBGeoSpockHarperDB
Initial release201320172014 infosince 2012, originally named StormDB
Current release6.2.28, November 20202.0, September 20193.1, August 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree community edition availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptNode.jsC
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Linux
macOS
Data schemeschema-free infosome layers support schemasyesdynamic schemayes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes infoJSON data typesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnotemporal, categoricalyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyANSI SQL for query only (using Presto)SQL-like data manipulation statementsyes infodistributed, parallel query execution
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlynoCustom Functions infosince release 3.1user defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights for users can be defined per tableAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
FoundationDBGeoSpockHarperDBPostgres-XL
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