DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > IBM Db2 vs. Microsoft Azure Data Explorer vs. Solr vs. Sphinx

System Properties Comparison IBM Db2 vs. Microsoft Azure Data Explorer vs. Solr vs. Sphinx

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCommon in IBM host environments, 2 different versions for host and Windows/LinuxFully managed big data interactive analytics platformA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS infocolumn orientedSearch engineSearch engine
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document 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
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score160.32
Rank#7  Overall
#5  Relational DBMS
Score7.54
Rank#58  Overall
#34  Relational DBMS
Score57.26
Rank#20  Overall
#3  Search engines
Score6.72
Rank#63  Overall
#7  Search engines
Websitewww.ibm.com/­analytics/­db2azure.microsoft.com/­services/­data-explorerlucene.apache.org/­solrsphinxsearch.com
Technical documentationwww.ibm.com/­support/­knowledgecenter/­SSEPGGdocs.microsoft.com/­en-us/­azure/­data-explorerlucene.apache.org/­solr/­resources.htmlsphinxsearch.com/­docs
DeveloperIBMMicrosoftApache Software FoundationSphinx Technologies Inc.
Initial release1983 infohost version201920062001
Current release12.1, October 2016cloud service with continuous releases8.11.1, December 20213.4.1, July 2021
License infoCommercial or Open Sourcecommercial infofree version is availablecommercialOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
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 languageC and C++JavaC++
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesFixed schema with schema-less datatypes (dynamic)yes infoDynamic Fields enables on-the-fly addition of new fieldsyes
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 infosupports customizable data types and automatic typingno
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.yesyes
Secondary indexesyesall fields are automatically indexedyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyesKusto Query Language (KQL), SQL subsetSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, RJava pluginsno
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud serviceShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAzure Active Directory Authenticationyesno
More information provided by the system vendor
IBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Data ExplorerSolrSphinx
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 infoformerly named DB2 or IBM Database 2Microsoft Azure Data ExplorerSolrSphinx
DB-Engines blog posts

Elasticsearch replaced Solr as the most popular search engine
12 January 2016, Paul Andlinger

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Google Needs Another Database To Attack Oracle, DB2, And SQL Server Directly
16 May 2022, The Next Platform

IBM Launches Db2 13 for z/OS
18 April 2022, Database Trends and Applications

Database And Developer Enhancements In IBM i 7.5 And 7.4 TR6
9 May 2022, IT Jungle

IBM database updates address critical vulnerabilities in third-party XML parser
25 April 2022, The Daily Swig

Review: YugabyteDB does PostgreSQL proud
16 May 2022, InfoWorld

provided by Google News

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

Microsoft Simplifies IT Monitoring with New Azure Managed Grafana Service
19 April 2022, Petri.com

Full-Stack Observability with Grafana and Azure Monitor
10 May 2022, InfoQ.com

Google attacks Microsoft in the Field of Data Analytics and IoT
14 May 2022, Medium

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

provided by Google News

How to deploy the Apache Solr enterprise-grade search platform on Ubuntu Server 22.04
11 May 2022, TechRepublic

Enterprise Search Software Market Investment Analysis | Swiftype, Algolia, Elasticsearch, Apache Solr – Queen Anne and Mangolia News
9 May 2022, Queen Anne and Mangolia News

Southwest Oasis Labrador Rescue Serves as a Hub of Hope
6 May 2022, Flagstaff Business News

Don't let the lights go out - dealing with an insolvent energy supplier
25 April 2022, Lexology

Microsoft warns: This botnet has new tricks to target Linux and Windows systems
16 May 2022, ZDNet

provided by Google News

How to Build 600+ Links in One Month
4 September 2020, Search Engine Journal

6 Top & Best Open source Search Engine Software for Enterprises
17 June 2019, H2S Media

provided by Google News

Job opportunities

Database Developer- DB2
Morgan Stanley, Alpharetta, GA

Software Tester
North Carolina Department of Information Technology, Raleigh, NC

Overnight SQL Database Administrator
Xtivia Inc, Remote

Mainframe DB2 Database Management
JPMorgan Chase Bank, N.A., Jersey City, NJ

IBM Db2 Database Administrator
West Advanced Technologies (WATI), Downey, CA

Azure Data Expert
Trexin Consulting, Chicago, IL

Data Scientist
Microsoft, Bellevue, WA

Azure Data Engineer
Agama Solutions, Houston, TX

Data Analyst/ Data Engineer
C2S Techs, Bellevue, WA

Data and Applied Scientist II
Microsoft, Dallas, TX

IT SPECIALIST (APPLICATION SOFTWARE)
US Defense Intelligence Agency, Washington, DC

ColdFusion Developer
Bravo Business Media, Plymouth Meeting, PA

Data Scientist, Search and Discovery
GoPuff, United States

Technology Engineer ( Oracle / Linux / Kafka / OpenShift )
PNC Financial Services Group, Pittsburgh, PA

QA Tester - Protractor
Miracle Software Systems, North Carolina

jobs by Indeed



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

The definitive guide for Cassandra

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

Redis logo

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

Present your product here