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DBMS > Apache Druid vs. ArangoDB vs. Graph Engine vs. ObjectBox vs. RocksDB

System Properties Comparison Apache Druid vs. ArangoDB vs. Graph Engine vs. ObjectBox vs. RocksDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonArangoDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonObjectBox  Xexclude from comparisonRocksDB  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineExtremely fast embedded database for small devices, IoT and MobileEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Search engine
Graph DBMS
Key-value store
Object oriented DBMSKey-value store
Secondary database modelsTime Series 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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitedruid.apache.orgarangodb.comwww.graphengine.ioobjectbox.iorocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.arangodb.comwww.graphengine.io/­docs/­manualdocs.objectbox.iogithub.com/­facebook/­rocksdb/­wiki
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperApache Software Foundation and contributorsArangoDB Inc.MicrosoftObjectBox LimitedFacebook, Inc.
Initial release20122012201020172013
Current release29.0.1, April 20243.11.5, November 20239.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoMIT LicenseOpen Source infoApache License 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++.NET and CC and C++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
.NETAndroid
iOS
Linux
macOS
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-free infoautomatically recognizes schema within a collectionyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesyesno
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingnononono
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
RESTful HTTP APIProprietary native APIC++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
F#
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infosince version 2.0horizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with configurable replication factoronline/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptnono
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 graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesyesno
More information provided by the system vendor
Apache DruidArangoDBGraph Engine infoformer name: TrinityObjectBoxRocksDB
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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