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DBMS > Badger vs. Brytlyt vs. EventStoreDB vs. FileMaker vs. Fujitsu Enterprise Postgres

System Properties Comparison Badger vs. Brytlyt vs. EventStoreDB vs. FileMaker vs. Fujitsu Enterprise Postgres

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFileMaker  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLIndustrial-strength, open-source database solution built from the ground up for event sourcing.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.
Primary database modelKey-value storeRelational DBMSEvent StoreRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.eventstore.comwww.claris.com/­filemakerwww.postgresql.fastware.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodevelopers.eventstore.comwww.claris.com/­resources/­documentationwww.postgresql.fastware.com/­product-manuals
DeveloperDGraph LabsBrytlytEvent Store LimitedClaris infoa subsidiary of ApplePostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release2017201620121983
Current release5.0, August 202321.2, February 202119.4.1, November 2021Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercialcommercial
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, C++ and CUDAC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML format
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyes infovia pluginsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHP.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesuser defined functions
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerBrytlytEventStoreDBFileMakerFujitsu Enterprise Postgres
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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BadgerBrytlytEventStoreDBFileMakerFujitsu Enterprise Postgres
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