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

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFoundationDB  Xexclude from comparisonGeoSpock  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionConverged and high performance database for device data, events, time series, document and graphOrdered key-value store. Core features are complimented by layers.Spatial and temporal data processing engine for extreme data scaleBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebangdb.comgithub.com/­apple/­foundationdbgeospock.comwww.postgres-xl.org
Technical documentationdocs.bangdb.comapple.github.io/­foundationdbwww.postgres-xl.org/­documentation
DeveloperSachin Sinha, BangDBFoundationDBGeoSpock
Initial release201220132014 infosince 2012, originally named StormDB
Current releaseBangDB 2.0, October 20216.2.28, November 20202.0, September 201910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++Java, JavascriptC
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
macOS
Data schemeschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsno infosome layers support typingyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialnotemporal, categoricalyes
SQL infoSupport of SQLSQL like support with command line toolsupported in specific SQL layer onlyANSI SQL for query only (using Presto)yes infodistributed, parallel query execution
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoin SQL-layer onlynouser defined functions
Triggersyes, Notifications (with Streaming only)nonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenono
User concepts infoAccess controlyes (enterprise version only)noAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
BangdbFoundationDBGeoSpockPostgres-XL
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