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DBMS > FeatureBase vs. Microsoft Azure Data Explorer vs. ObjectBox vs. SpaceTime

System Properties Comparison FeatureBase vs. Microsoft Azure Data Explorer vs. ObjectBox vs. SpaceTime

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonObjectBox  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Fully managed big data interactive analytics platformLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSRelational DBMS infocolumn orientedObject oriented DBMS
Vector DBMS
Spatial 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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Websitewww.featurebase.comazure.microsoft.com/­services/­data-explorergithub.com/­objectbox
objectbox.io
www.mireo.com/­spacetime
Technical documentationdocs.featurebase.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.io
DeveloperMolecula and Pilosa Open Source ContributorsMicrosoftObjectBox LimitedMireo
Initial release2017201920172020
Current release2022, May 2022cloud service with continuous releases4.0 (May 2024)
License infoCommercial or Open SourcecommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++
Server operating systemsLinux
macOS
hostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeyesFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes, plus "flex" map-like typesyes
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.noyesnono
Secondary indexesnoall fields are automatically indexedyesno
SQL infoSupport of SQLSQL queriesKusto Query Language (KQL), SQL subsetnoA subset of ANSI SQL is implemented
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary native APIRESTful HTTP API
Supported programming languagesJava
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C#
C++
Python
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rnono
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenoneFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Data sync between devices allowing occasional connected databases to work completely offlineReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAzure Active Directory Authenticationyesyes
More information provided by the system vendor
FeatureBaseMicrosoft Azure Data ExplorerObjectBoxSpaceTime
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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FeatureBaseMicrosoft Azure Data ExplorerObjectBoxSpaceTime
Recent citations in the news

Former Silicon Labs CEO Tyson Tuttle launches AI startup Circuit, acquires Austin startup Molecula
23 July 2024, The Business Journals

Get Your Infrastructure Ready for Real-Time Analytics
9 March 2022, Built In

Pilosa: A Scalable High Performance Bitmap Database Index
17 June 2019, hackernoon.com

provided by Google News

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer
31 May 2024, azure.microsoft.com

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20 February 2024, azure.microsoft.com

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5 February 2024, azure.microsoft.com

Announcing General Availability of Graph Semantics in Kusto
27 May 2024, azure.microsoft.com

General availability: Azure Data Explorer adds new geospatial capabilities
23 January 2024, azure.microsoft.com

provided by Google News



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