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DBMS > Bangdb vs. Dragonfly vs. FoundationDB vs. Ignite

System Properties Comparison Bangdb vs. Dragonfly vs. FoundationDB vs. Ignite

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDragonfly  Xexclude from comparisonFoundationDB  Xexclude from comparisonIgnite  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 graphA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceOrdered key-value store. Core features are complimented by layers.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
Secondary database modelsSpatial 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
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitebangdb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­apple/­foundationdbignite.apache.org
Technical documentationdocs.bangdb.comwww.dragonflydb.io/­docsapple.github.io/­foundationdbapacheignite.readme.io/­docs
DeveloperSachin Sinha, BangDBDragonflyDB team and community contributorsFoundationDBApache Software Foundation
Initial release2012202320132015
Current releaseBangDB 2.0, October 20211.0, March 20236.2.28, November 2020Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSL 1.1Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++C++, Java, .Net
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freescheme-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsstrings, hashes, lists, sets, sorted sets, bit arraysno 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.nonoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnonoyes
SQL infoSupport of SQLSQL like support with command line toolnosupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoLuain SQL-layer onlyyes (compute grid and cache interceptors can be used instead)
Triggersyes, Notifications (with Streaming only)publish/subscribe channels provide some trigger functionalitynoyes (cache interceptors and events)
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)Source-replica replicationyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, strict serializability by the serveryesyes
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 modeyesyes
User concepts infoAccess controlyes (enterprise version only)Password-based authenticationnoSecurity Hooks for custom implementations

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BangdbDragonflyFoundationDBIgnite
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