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DBMS > Apache Druid vs. Brytlyt vs. eXtremeDB vs. Quasardb

System Properties Comparison Apache Druid vs. Brytlyt vs. eXtremeDB vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBrytlyt  Xexclude from comparisoneXtremeDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLNatively in-memory DBMS with options for persistency, high-availability and clusteringDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orgbrytlyt.iowww.mcobject.comquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.brytlyt.iowww.mcobject.com/­docs/­extremedb.htmdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsBrytlytMcObjectquasardb
Initial release2012201620012009
Current release29.0.1, April 20245.0, August 20238.2, 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC and C++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.no infosupport of XML interfaces availableno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingyesyes infowith the option: eXtremeSQLSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesno
Triggersnoyesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning / shardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidBrytlyteXtremeDBQuasardb
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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Apache DruidBrytlyteXtremeDBQuasardb
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