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DBMS > Apache Druid vs. ArangoDB vs. BigchainDB vs. Kyligence Enterprise

System Properties Comparison Apache Druid vs. ArangoDB vs. BigchainDB vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonArangoDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
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.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Search engine
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.85
Rank#208  Overall
#35  Document stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websitedruid.apache.orgarangodb.comwww.bigchaindb.comkyligence.io/­kyligence-enterprise
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.arangodb.combigchaindb.readthedocs.io/­en/­latest
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperApache Software Foundation and contributorsArangoDB Inc.Kyligence, Inc.
Initial release2012201220162016
Current release29.0.1, April 20243.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoAGPL v3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++PythonJava
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
LinuxLinux
Data schemeyes infoschema-less columns are supportedschema-free infoautomatically recognizes schema within a collectionschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashnoyes
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
SQL infoSupport of SQLSQL for queryingnonoANSI SQL for queries (using Apache Calcite)
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
CLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Go
Haskell
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScript
Triggersnono
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 factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptnoyes
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
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesyes
More information provided by the system vendor
Apache DruidArangoDBBigchainDBKyligence Enterprise
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 DruidArangoDBBigchainDBKyligence Enterprise
DB-Engines blog posts

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

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