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

DBMS > HBase vs. Microsoft Azure AI Search vs. OpenQM vs. Trafodion

System Properties Comparison HBase vs. Microsoft Azure AI Search vs. OpenQM vs. Trafodion

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableSearch-as-a-service for web and mobile app developmentQpenQM is a high-performance, self-tuning, multi-value DBMSTransactional SQL-on-Hadoop DBMS
Primary database modelWide column storeSearch engineMultivalue DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitehbase.apache.orgazure.microsoft.com/­en-us/­services/­searchwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmtrafodion.apache.org
Technical documentationhbase.apache.org/­book.htmllearn.microsoft.com/­en-us/­azure/­searchtrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftRocket Software, originally Martin PhillipsApache Software Foundation, originally developed by HP
Initial release2008201519932014
Current release2.3.4, January 2021V13.4-122.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0
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 languageJavaC++, Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-free, schema definition possibleyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
.Net
Basic
C
Java
Objective C
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoyesJava Stored Procedures
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACID
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 Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousing Azure authenticationAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

More information provided by the system vendor

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
HBaseMicrosoft Azure AI SearchOpenQM infoalso called QMTrafodion
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Best Practices from Rackspace for Modernizing a Legacy HBase/Solr Architecture Using AWS Services | Amazon Web ...
9 October 2023, AWS Blog

Less Components, Higher Performance: Apache Doris instead of ClickHouse, MySQL, Presto, and HBase
20 October 2023, hackernoon.com

HBase: The database big data left behind
6 May 2016, InfoWorld

HydraBase – The evolution of HBase@Facebook
5 June 2014, Facebook Engineering

HBase Tutorial
24 February 2023, Simplilearn

provided by Google News

Shift AI Podcast: How AI is evolving in 2024, with Microsoft Distinguished Engineer Pablo Castro
9 May 2024, GeekWire

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates
2 April 2024, Microsoft

Microsoft Azure AI adds storage power, large RAG app support
5 April 2024, VentureBeat

Microsoft’s Azure AI Search updated with increased storage, vector index size
5 April 2024, InfoWorld

provided by Google News

Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

HP Throws Trafodion Hat into OLTP Hadoop Ring
14 July 2014, Datanami

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

provided by Google News



Share this page

Featured Products

Milvus logo

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

RaimaDB logo

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

Neo4j logo

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

AllegroGraph logo

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

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

Present your product here