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DBMS > Bangdb vs. FoundationDB vs. PlanetScale

System Properties Comparison Bangdb vs. FoundationDB vs. PlanetScale

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFoundationDB  Xexclude from comparisonPlanetScale  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionConverged and high performance database for device data, events, time series, document and graphOrdered key-value store. Core features are complimented by layers.Scalable, distributed, serverless MySQL database platform built on top of Vitess
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 DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Websitebangdb.comgithub.com/­apple/­foundationdbplanetscale.com
Technical documentationdocs.bangdb.comapple.github.io/­foundationdbplanetscale.com/­docs
DeveloperSachin Sinha, BangDBFoundationDBPlanetScale
Initial release201220132020
Current releaseBangDB 2.0, October 20216.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++Go
Server operating systemsLinuxLinux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsno infosome layers support typingyes
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.no
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLSQL like support with command line toolsupported in specific SQL layer onlyyes infowith proprietary extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoin SQL-layer onlyyes infoproprietary syntax
Triggersyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyLinearizable consistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoin SQL-layer onlyyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
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 modeyes
User concepts infoAccess controlyes (enterprise version only)noUsers with fine-grained authorization concept infono user groups or roles

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More resources
BangdbFoundationDBPlanetScale
Recent citations in the news

FoundationDB team’s new venture, Antithesis, raises $47M to enhance software testing
13 February 2024, SiliconANGLE News

Antithesis Launches Out Of Stealth To Revolutionize Software Reliability
13 February 2024, PR Newswire

Antithesis raises $47M to launch an automated testing platform for software
13 February 2024, TechCrunch

Apple Acquires FoundationDB
24 March 2015, blogs.wsj.com

Apple's FoundationDB takes new Record Layer open source, confirms tech underpins CloudKit
14 January 2019, AppleInsider

provided by Google News

PlanetScale ends free tier bid, sheds staff in profitability bid
11 March 2024, The Register

PlanetScale Insights Anomalies introduces smart query monitoring
29 November 2023, SDTimes.com

PlanetScale forks MySQL to add vector support
3 October 2023, TechCrunch

Top Database as a Service (DBaaS) Startups
28 August 2024, Tracxn

PlanetScale review: Horizontally scalable MySQL in the cloud
1 September 2021, InfoWorld

provided by Google News



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