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DBMS > BoltDB vs. EsgynDB vs. FoundationDB vs. Interbase vs. Postgres-XL

System Properties Comparison BoltDB vs. EsgynDB vs. FoundationDB vs. Interbase vs. Postgres-XL

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonEsgynDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAn embedded key-value store for Go.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOrdered 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 modelKey-value storeRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.16
Rank#329  Overall
#146  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
Websitegithub.com/­boltdb/­boltwww.esgyn.cngithub.com/­apple/­foundationdbwww.embarcadero.com/­products/­interbasewww.postgres-xl.org
Technical documentationapple.github.io/­foundationdbdocs.embarcadero.com/­products/­interbasewww.postgres-xl.org/­documentation
DeveloperEsgynFoundationDBEmbarcadero
Initial release20132015201319842014 infosince 2012, originally named StormDB
Current release6.2.28, November 2020InterBase 2020, December 201910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC++CC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
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 datenoyesno 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 indexesnoyesnoyesyes
SQL infoSupport of SQLnoyessupported in specific SQL layer onlyyesyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoAll languages supporting JDBC/ODBC/ADO.Net.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 proceduresnoJava Stored Proceduresin SQL-layer onlyyes infoInterbase procedure and trigger languageuser defined functions
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersyesInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BoltDBEsgynDBFoundationDBInterbasePostgres-XL
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