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DBMS > Apache Druid vs. Graph Engine vs. Microsoft Azure Table Storage vs. ObjectBox

System Properties Comparison Apache Druid vs. Graph Engine vs. Microsoft Azure Table Storage vs. ObjectBox

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonObjectBox  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 engineA Wide Column Store for rapid development using massive semi-structured datasetsExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
Key-value store
Wide column storeObject oriented DBMS
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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitedruid.apache.orgwww.graphengine.ioazure.microsoft.com/­en-us/­services/­storage/­tablesobjectbox.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.graphengine.io/­docs/­manualdocs.objectbox.io
DeveloperApache Software Foundation and contributorsMicrosoftMicrosoftObjectBox Limited
Initial release2012201020122017
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicensecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CC and C++
Server operating systemsLinux
OS X
Unix
.NEThostedAndroid
iOS
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP APIProprietary native API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
F#
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights based on private key authentication or shared access signaturesyes
More information provided by the system vendor
Apache DruidGraph Engine infoformer name: TrinityMicrosoft Azure Table StorageObjectBox
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More resources
Apache DruidGraph Engine infoformer name: TrinityMicrosoft Azure Table StorageObjectBox
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