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DBMS > Badger vs. Blueflood vs. Brytlyt vs. FileMaker vs. HarperDB

System Properties Comparison Badger vs. Blueflood vs. Brytlyt vs. FileMaker vs. HarperDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBlueflood  Xexclude from comparisonBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable TimeSeries DBMS based on CassandraScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFileMaker is a cross-platform RDBMS that includes a GUI frontend.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Websitegithub.com/­dgraph-io/­badgerblueflood.iobrytlyt.iowww.claris.com/­filemakerwww.harperdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­rax-maas/­blueflood/­wikidocs.brytlyt.iowww.claris.com/­resources/­documentationdocs.harperdb.io/­docs
DeveloperDGraph LabsRackspaceBrytlytClaris infoa subsidiary of AppleHarperDB
Initial release20172013201619832017
Current release5.0, August 202319.4.1, November 20213.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercialcommercial infofree community edition available
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 languageGoJavaC, C++ and CUDANode.js
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Data schemeschema-freepredefined schemeyesyesdynamic schema
Typing infopredefined data types such as float or datenoyesyesyesyes infoJSON data types
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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesyes infovia pluginsSQL-like data manipulation statements
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHP.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnonouser defined functions infoin PL/pgSQLyesCustom Functions infosince release 3.1
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandranoneA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication, warm standby infosince Version 14yes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users and roles

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More resources
BadgerBluefloodBrytlytFileMakerHarperDB
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