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DBMS > Apache Druid vs. Atos Standard Common Repository vs. BaseX vs. Blueflood vs. Faircom EDGE

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. BaseX vs. Blueflood vs. Faircom EDGE

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBaseX  Xexclude from comparisonBlueflood  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable TimeSeries DBMS based on CassandraFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Native XML DBMSTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
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
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorybasex.orgblueflood.iowww.faircom.com/­products/­faircom-edge
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orggithub.com/­rax-maas/­blueflood/­wikidocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsBaseX GmbHRackspaceFairCom Corporation
Initial release20122016200720131979
Current release29.0.1, April 2024170311.0, June 2024V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoBSD licenseOpen Source infoApache 2.0commercial 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 languageJavaJavaJavaJavaANSI C, C++
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
Windows
Linux
OS X
Android
Linux infoARM, x86
Raspbian
Windows
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsschema-freepredefined schemeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesoptionalno infoXQuery supports typesyesyes, 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.noyesnoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL for queryingnononoyes infoANSI SQL queries
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HTTP RESTADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresnonoyesnoyes info.Net, JavaScript, C/C++
Triggersnoyesyes infovia eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionnoneSharding infobased on CassandraFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnoneselectable replication factor infobased on Cassandrayes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynonononoyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsmultiple readers, single writernoACID
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.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationUsers with fine-grained authorization concept on 4 levelsnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
Apache DruidAtos Standard Common RepositoryBaseXBluefloodFaircom EDGE infoformerly c-treeEDGE
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