DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Microsoft Azure Data Explorer vs. NCache vs. Oracle vs. SAP HANA vs. Splunk

System Properties Comparison Microsoft Azure Data Explorer vs. NCache vs. Oracle vs. SAP HANA vs. Splunk

Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonNCache  Xexclude from comparisonOracle  Xexclude from comparisonSAP HANA  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformOpen-Source and Enterprise in-memory Key-Value StoreWidely used RDBMSIn-memory, column based data store. Available as appliance or cloud serviceAnalytics Platform for Big Data
Primary database modelRelational DBMS infocolumn orientedKey-value storeRelational DBMSRelational DBMSSearch engine
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
Document store
Search engine infoUsing distributed Lucene
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websiteazure.microsoft.com/­services/­data-explorerwww.alachisoft.com/­ncachewww.oracle.com/­databasewww.sap.com/­products/­hana.htmlwww.splunk.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerwww.alachisoft.com/­resources/­docsdocs.oracle.com/­en/­databasehelp.sap.com/­hanadocs.splunk.com/­Documentation/­Splunk
DeveloperMicrosoftAlachisoftOracleSAPSplunk Inc.
Initial release20192005198020102003
Current releasecloud service with continuous releases5.3.3, April 202423c, September 20232.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availablecommercial inforestricted free version is availablecommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#, .NET, .NET Core, JavaC and C++
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Appliance or cloud-serviceLinux
OS X
Solaris
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)schema-freeyes infoSchemaless in JSON and XML columnsyesyes
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-typespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyesyes
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.yesnoyesnoyes
Secondary indexesall fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes infowith proprietary extensionsyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
HTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rno infosupport for stored procedures with SQL-Server CLRPL/SQL infoalso stored procedures in Java possibleSQLScript, Ryes
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoNotificationsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyesSharding, horizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with selectable consistency levelMulti-source replication
Source-replica replication
yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesno infocan be realized in PL/SQLnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACID infoisolation level can be parameterizedACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yesno
User concepts infoAccess controlAzure Active Directory AuthenticationAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)fine grained access rights according to SQL-standardyesAccess rights for users and roles
More information provided by the system vendor
Microsoft Azure Data ExplorerNCacheOracleSAP HANASplunk
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» 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
3rd partiesNavicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment.
» more

Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Microsoft Azure Data ExplorerNCacheOracleSAP HANASplunk
DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond
25 November 2016, Tony Branson (guest author)

show all

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

show all

Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

Recent citations in the news

Azure Data Explorer: Log and telemetry analytics benchmark
16 August 2022, Microsoft

Providing modern data transfer and storage service at Microsoft with Microsoft Azure - Inside Track Blog
13 July 2023, Microsoft

Controlling costs in Azure Data Explorer using down-sampling and aggregation
11 February 2019, Microsoft

Microsoft Introduces Azure Integration Environments and Business Process Tracking in Public Preview
23 November 2023, InfoQ.com

Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services
7 February 2019, Microsoft

provided by Google News

How to use NCache in ASP.Net Core
25 February 2019, InfoWorld

Custom Response Caching Using NCache in ASP.NET Core
22 April 2020, InfoQ.com

NCache 4.4 Open Sourced
16 January 2015, iProgrammer

provided by Google News

Understanding the different Oracle Database options under the OCI-Microsoft Azure partnership
21 May 2024, blogs.oracle.com

Announcing Oracle Database 23ai : General Availability
2 May 2024, blogs.oracle.com

Oracle Graph Learning Path
20 May 2024, blogs.oracle.com

Oracle Goes for the Kill with Multifaceted New AI Database
23 May 2024, Acceleration Economy

Oracle AI Database Spells Big Trouble for Single-Function Competitors
23 May 2024, Acceleration Economy

provided by Google News

Combine the Power of AI with Business Context Using SAP HANA Cloud Vector Engine
2 April 2024, SAP News

Automating the update process of a clustered SAP HANA DB using nZDT and Ansible | Amazon Web Services
16 November 2023, AWS Blog

Modernize consolidation in an SAP S/4 HANA environment | CCH Tagetik
9 April 2024, Wolters Kluwer

SAP HANA Cloud Vector Engine
18 April 2024, IgniteSAP

What are the options as SAP HANA 1.0 support in the Neo environment sunsets?
3 November 2023, ComputerWeekly.com

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

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

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Present your product here