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DBMS > Apache Druid vs. Graph Engine

System Properties Comparison Apache Druid vs. Graph Engine

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Our visitors often compare Apache Druid and Graph Engine with Elasticsearch, Google BigQuery and Amazon Redshift.

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.44
Rank#92  Overall
#48  Relational DBMS
#6  Time Series DBMS
Score0.85
Rank#190  Overall
#17  Graph DBMS
#31  Key-value stores
Websitedruid.apache.orgwww.graphengine.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.graphengine.io/­docs/­manual
DeveloperApache Software Foundation and contributorsMicrosoft
Initial release20122010
Current release0.21.0, April 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and C
Server operating systemsLinux
OS X
Unix
.NET
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyes
SQL infoSupport of SQLSQL for queryingno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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More resources
Apache DruidGraph Engine infoformer name: Trinity
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