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DBMS > Bangdb vs. Datomic vs. FoundationDB vs. Interbase vs. Postgres-XL

System Properties Comparison Bangdb vs. Datomic vs. FoundationDB vs. Interbase vs. Postgres-XL

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonInterbase  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionConverged and high performance database for device data, events, time series, document and graphDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOrdered key-value store. Core features are complimented by layers.Light-weight proven RDBMS infooriginally from BorlandBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebangdb.comwww.datomic.comgithub.com/­apple/­foundationdbwww.embarcadero.com/­products/­interbasewww.postgres-xl.org
Technical documentationdocs.bangdb.comdocs.datomic.comapple.github.io/­foundationdbdocs.embarcadero.com/­products/­interbasewww.postgres-xl.org/­documentation
DeveloperSachin Sinha, BangDBCognitectFoundationDBEmbarcadero
Initial release20122012201319842014 infosince 2012, originally named StormDB
Current releaseBangDB 2.0, October 20211.0.6735, June 20236.2.28, November 2020InterBase 2020, December 201910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infolimited edition freeOpen Source infoApache 2.0commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ClojureC++CC
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesno 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.nonono infoexport as XML data possibleyes infoXML type, but no XML query functionality
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyesyes
SQL infoSupport of SQLSQL like support with command line toolnosupported in specific SQL layer onlyyesyes infodistributed, parallel query execution
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsin SQL-layer onlyyes infoInterbase procedure and trigger languageuser defined functions
Triggersyes, Notifications (with Streaming only)By using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone infoBut extensive use of caching in the application peersShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)none infoBut extensive use of caching in the application peersyesInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 inforecommended only for testing and developmentyesno
User concepts infoAccess controlyes (enterprise version only)nonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BangdbDatomicFoundationDBInterbasePostgres-XL
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