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DBMS > Apache Druid vs. ArangoDB vs. Blazegraph

System Properties Comparison Apache Druid vs. ArangoDB vs. Blazegraph

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonArangoDB  Xexclude from comparisonBlazegraph  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Search engine
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score3.77
Rank#87  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Websitedruid.apache.orgarangodb.comblazegraph.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.arangodb.comwiki.blazegraph.com
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperApache Software Foundation and contributorsArangoDB Inc.Blazegraph
Initial release201220122006
Current release29.0.1, April 20243.11.5, November 20232.1.5, March 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoextended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-free infoautomatically recognizes schema within a collectionschema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes infoRDF literal 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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingnoSPARQL is used as query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infosince version 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with configurable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes inforelationships in graphsyes infoRelationships in Graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)
More information provided by the system vendor
Apache DruidArangoDBBlazegraph
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Apache DruidArangoDBBlazegraph
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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