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DBMS > Microsoft Azure Data Explorer vs. ObjectBox vs. RavenDB vs. SiriDB

System Properties Comparison Microsoft Azure Data Explorer vs. ObjectBox vs. RavenDB vs. SiriDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonObjectBox  Xexclude from comparisonRavenDB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformExtremely fast embedded database for small devices, IoT and MobileOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen Source Time Series DBMS
Primary database modelRelational DBMS infocolumn orientedObject oriented DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Time Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websiteazure.microsoft.com/­services/­data-explorerobjectbox.ioravendb.netsiridb.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.ioravendb.net/­docsdocs.siridb.com
DeveloperMicrosoftObjectBox LimitedHibernating RhinosCesbit
Initial release2019201720102017
Current releasecloud service with continuous releases5.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C#C
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeFixed schema with schema-less datatypes (dynamic)yesschema-freeyes
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesnoyes infoNumeric data
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.yesnono
Secondary indexesall fields are automatically indexedyesyesyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetnoSQL-like query language (RQL)no
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary native API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rnoyesno
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and serverMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAzure Active Directory AuthenticationyesAuthorization levels configured per client per databasesimple rights management via user accounts
More information provided by the system vendor
Microsoft Azure Data ExplorerObjectBoxRavenDBSiriDB
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More resources
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