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DBMS > AllegroGraph vs. Apache Drill vs. Apache Druid vs. Quasardb

System Properties Comparison AllegroGraph vs. Apache Drill vs. Apache Druid vs. Quasardb

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Relational DBMS
Relational DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score2.79
Rank#104  Overall
#19  Document stores
#52  Relational DBMS
Score3.27
Rank#93  Overall
#48  Relational DBMS
#6  Time Series DBMS
Score0.23
Rank#285  Overall
#23  Time Series DBMS
Websiteallegrograph.comdrill.apache.orgdruid.apache.orgquasardb.net
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designdoc.quasardb.net
DeveloperFranz Inc.Apache Software FoundationApache Software Foundation and contributorsquasardb
Initial release2004201220122009
Current release7.0.0, April 20201.19.0, June 20210.21.0, April 20213.1, January 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2Open Source infoApache license v2commercial 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++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Unix
BSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-freeyes infoschema-less columns are supportedschema-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.no infobulk load of XML files possiblenonono
Secondary indexesyesnoyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageSQL SELECT statement is SQL:2003 compliantSQL for queryingSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infomanual/auto, time-basedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourcenoyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationDepending on the underlying data sourceRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphApache DrillApache DruidQuasardb
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
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