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DBMS > EXASOL vs. Microsoft Azure Data Explorer vs. ObjectBox vs. Yanza

System Properties Comparison EXASOL vs. Microsoft Azure Data Explorer vs. ObjectBox vs. Yanza

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonObjectBox  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully managed big data interactive analytics platformExtremely fast embedded database for small devices, IoT and MobileTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMS infocolumn orientedObject oriented DBMSTime 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)
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 DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.89
Rank#83  Overall
#45  Relational DBMS
Score4.95
Rank#70  Overall
#39  Relational DBMS
Score0.84
Rank#188  Overall
#9  Object oriented DBMS
Score0.00
Rank#350  Overall
#31  Time Series DBMS
Websitewww.exasol.comazure.microsoft.com/­services/­data-explorerobjectbox.ioyanza.com
Technical documentationwww.exasol.com/­resourcesdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.io
DeveloperExasolMicrosoftObjectBox LimitedYanza
Initial release2000201920172015
Current releasecloud service with continuous releases
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
Windows
Data schemeyesFixed schema with schema-less datatypes (dynamic)yesschema-free
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-typesyesno
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 indexesyesall fields are automatically indexedyesno
SQL infoSupport of SQLyesKusto Query Language (KQL), SQL subsetnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary native APIHTTP API
Supported programming languagesJava
Lua
Python
R
.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
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsYes, possible languages: KQL, Python, Rnono
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenone
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 servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAzure Active Directory Authenticationyesno
More information provided by the system vendor
EXASOLMicrosoft Azure Data ExplorerObjectBoxYanza
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more
News

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EXASOLMicrosoft Azure Data ExplorerObjectBoxYanza
Recent citations in the news

Exasol Becomes Carbon Neutral with Planetly
25 May 2021, Business Wire

Exasol research suggests data science careers aren't making young people Tik
8 June 2021, FE News

In-memory OLAP Database Market Size and Growth 2021-2027 | Major Players – Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio – The Manomet Current
9 June 2021, The Manomet Current

In-memory OLAP Database Market Report 2020: Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio, Mcobject, MemSQL, etc. – Clark County Blog
12 June 2021, Clark County Blog

Pharmascience to use Exasol database to improve reporting | Medical Devices & Pharma - Healthcare Global
15 February 2021, Healthcare News, Magazine and Website

provided by Google News

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

Get Started with Accessing Azure Data Explorer using Apache Spark for Azure Synapse Analytics - Microsoft
8 April 2021, Channel 9

AMD EPYC Processors Power Microsoft Azure Data Explorer, Offers Users 30 Percent Better Performance
15 October 2020, HPCwire

A cloud services cheat sheet for AWS, Azure and Google Cloud
6 January 2021, Illinoisnewstoday.com

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

provided by Google News

Global Object-Oriented Databases Software Market 2021 Future Developments – Atlas, Copco, Ingersoll, Rand, PLC – The Courier
21 May 2021, The Courier

ObjectBox has built a distributed database for the IoT
17 September 2019, Stacey on IoT

IIoT Edge Computing Market Key Players Change the View of the Global Face of Industry by 2026-IoTium, Supermicro, Ericsson, Amazon Web ServicesClearBlade, Dell EMC, Hitachi Vantara, Litmus Automation Inc, Advantech Co Ltd – The Manomet Current
7 June 2021, The Manomet Current

Munich-founded database startup ObjectBox raises $2 million
3 December 2018, Tech.eu

Object-Oriented Databases Software Market to Witness Growth Acceleration During
30 May 2021, Business-newsupdate.com

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