DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > IBM Db2 Event Store vs. Microsoft Azure Data Explorer vs. Prometheus

System Properties Comparison IBM Db2 Event Store vs. Microsoft Azure Data Explorer vs. Prometheus

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesFully managed big data interactive analytics platformOpen-source TimeSeries DBMS and monitoring system
Primary database modelEvent Store
Time Series DBMS
Relational DBMS infocolumn orientedTime 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#252  Overall
#2  Event Stores
#20  Time Series DBMS
Score7.30
Rank#60  Overall
#34  Relational DBMS
Score6.62
Rank#66  Overall
#3  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­data-explorerprometheus.io
Technical documentationwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmldocs.microsoft.com/­en-us/­azure/­data-explorerprometheus.io/­docs
DeveloperIBMMicrosoft
Initial release201720192015
Current release2.0cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Go
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionhostedLinux
Windows
Data schemeyesFixed schema with schema-less datatypes (dynamic)yes
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-typesNumeric data only
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.noyesno infoImport of XML data possible
Secondary indexesnoall fields are automatically indexedno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeKusto Query Language (KQL), SQL subsetno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, Rno
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAzure Active Directory Authenticationno
More information provided by the system vendor
IBM Db2 Event StoreMicrosoft Azure Data ExplorerPrometheus
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
Licensing and pricing modelsAn Azure Data Explorer cluster is a pair of engine and data management clusters which...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
IBM Db2 Event StoreMicrosoft Azure Data ExplorerPrometheus
Recent citations in the news

Uptake Fusion to Support Microsoft Azure Data Explorer
1 March 2022, PR Newswire

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

Microsoft : FY22Q4 Product Release List
26 July 2022, Marketscreener.com

How to use Azure Data Explorer for big data analysis
12 February 2019, InfoWorld

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

provided by Google News

The Great Grafana Mimir and Cortex Split
10 August 2022, thenewstack.io

Consider Grafana vs. Prometheus for your time-series tools
18 October 2021, TechTarget

3 Top Tools for Implementing Kubernetes Observability
9 August 2022, hackernoon.com

The Mechanics of Metrics: Aggregation across Dimensions
12 August 2022, InfoQ.com

Query Optimization in the Prometheus World – The New Stack
14 June 2022, thenewstack.io

provided by Google News

Job opportunities

Data Engineer
VSP Global, Remote

Azure Data Analyst
Better Future Solutions, Seattle, WA

Data Engineer- Pyspark OR ADF (Azure Data Factory)
Tech Mahindra, Remote

Data Engineer *HYBRID* Fort Worth, TX
Pomeroy, Fort Worth, TX

Data Engineer
Pomeroy, Fort Worth, TX

Azure Devops Engineer
Teamware Solutions, Redmond, WA

Application Support Engineer (.Net, C#, SQL, RDBMS)
Esolvit Inc.,, Remote

Observability Engineer
Chainlink Labs, Remote

Sr NOSQL Solutions Architect (Time Series)
Amazon Web Services, Inc., Arlington, VA

Devops Engineer
Arch Systems, Remote

Sr NOSQL Solutions Architect (Time Series)
Amazon Web Services, Inc., New York, NY

jobs by Indeed



Share this page

Featured Products

Neo4j logo

The right graph database.
Not a graph add-on.
Free forever.
Start solving today

Redis logo

The world’s most loved real‑time data platform.
Try free

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

The definitive guide for Cassandra

Imagine What You Could Do if Scalability Wasn‘t a Problem!
Download the Cassandra e-book for free!

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here