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DBMS > AgensGraph vs. Apache Druid vs. Quasardb vs. Valentina Server

System Properties Comparison AgensGraph vs. Apache Druid vs. Quasardb vs. Valentina Server

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseObject-relational database and reports server
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#335  Overall
#31  Graph DBMS
#139  Relational DBMS
Score2.67
Rank#97  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.21
Rank#284  Overall
#22  Time Series DBMS
Score0.20
Rank#286  Overall
#133  Relational DBMS
Websitebitnine.netdruid.apache.orgquasardb.netwww.valentina-db.net
Technical documentationbitnine.net/­documentationdruid.apache.org/­docs/­latest/­designdoc.quasardb.netvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBitnine Global Inc.Apache Software Foundation and contributorsquasardbParadigma Software
Initial release2016201220091999
Current release2.1, December 20180.21.0, April 20213.1, January 20195.7.5
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemedepending on used data modelyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nonono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyesSQL for queryingSQL-like query languageyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
RESTful HTTP/JSON API
HTTP APIODBC
Supported programming languagesC
Java
JavaScript
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infomanual/auto, time-basedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphApache DruidQuasardbValentina Server
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesHigh 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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AgensGraphApache DruidQuasardbValentina Server
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