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DBMS > Badger vs. BaseX vs. Blueflood vs. Drizzle vs. Faircom EDGE

System Properties Comparison Badger vs. BaseX vs. Blueflood vs. Drizzle vs. Faircom EDGE

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBaseX  Xexclude from comparisonBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable TimeSeries DBMS based on CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelKey-value storeNative XML DBMSTime Series DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbasex.orgblueflood.iowww.faircom.com/­products/­faircom-edge
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.basex.orggithub.com/­rax-maas/­blueflood/­wikidocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperDGraph LabsBaseX GmbHRackspaceDrizzle project, originally started by Brian AkerFairCom Corporation
Initial release20172007201320081979
Current release11.0, June 20247.2.4, September 2012V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoApache 2.0Open Source infoGNU GPLcommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaC++ANSI C, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
FreeBSD
Linux
OS X
Android
Linux infoARM, x86
Raspbian
Windows
Data schemeschema-freeschema-freepredefined schemeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenono infoXQuery supports typesyesyesyes, ANSI Standard SQL 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
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnononoyes infowith proprietary extensionsyes infoANSI SQL queries
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HTTP RESTJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesGoActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Java
PHP
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresnoyesnonoyes info.Net, JavaScript, C/C++
Triggersnoyes infovia eventsnono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on CassandraShardingFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logs
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 Consistency
Tunable Consistency
Foreign keys infoReferential integritynononoyesyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoacross SQL and NoSQL
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.nonoyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept on 4 levelsnoPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
BadgerBaseXBluefloodDrizzleFaircom EDGE infoformerly c-treeEDGE
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