Azure Stream Analytics vs Qlik Talend Cloud comparison

Microsoft and Qlik are both solutions in the Streaming Analytics category. Microsoft is ranked #3 with an average rating of 7.1, while Qlik is ranked #9 with an average rating of 8.0. Microsoft holds a 6.2% mindshare in SA, compared to Qlik’s 1.8% mindshare. Additionally, 90% of Microsoft users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

Azure Stream Analytics

Read 30 Azure Stream Analytics reviews

2,877 Views
2,618 Comparison Views

90% willing to recommend

Qlik Talend Cloud

Read 54 Qlik Talend Cloud reviews

6,400 Views
448 Comparison Views

88% willing to recommend

Azure Stream Analytics

Qlik Talend Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 18, 2025

Talend and Azure Stream Analytics compete in the data integration and real-time analytics space. Talend seems to have the upper hand in custom coding flexibility and a vast connector library, while Azure Stream Analytics excels in deep integration with Azure resources, making it more user-friendly for IoT and real-time data streaming.

Features: Talend supports extensive operational and analytical data needs, providing real-time data access and transformation. It offers a central repository for enterprise metadata sharing, advanced monitoring capabilities, custom coding flexibility, and a vast library of connectors. Azure Stream Analytics provides deep integration with Azure resources, robust real-time analytics capabilities, and a simplified setup process, making it user-friendly, especially for IoT applications and real-time data streaming.

Room for Improvement: Talend struggles with stability and memory usage, encountering errors and requiring improved component testing. Users suggest better technical support, documentation, and enhancements in data governance. Azure Stream Analytics is limited by its Azure-centric nature, with restricted flexibility in external integrations and complex data processing. Better error handling and improvements in event imports and architecture are recommended.

Ease of Deployment and Customer Service: Talend offers deployment versatility across on-premises, private, and public clouds, though user feedback highlights a need for better support and documentation. Local language support remains a strength. Azure Stream Analytics, as a public cloud solution, offers easier deployment within the Azure ecosystem. It has high customer service ratings, with users reporting good support experiences.

Pricing and ROI: Talend is seen as cost-effective through its open-source model, though enterprise subscriptions can be costly with additional components. It provides significant ROI due to its comprehensive features and automation. Azure Stream Analytics, while potentially more expensive than alternatives, offers a pay-as-you-go model, enhancing cost optimization based on usage. Its ease of setup and Azure integration contribute to a strong ROI for businesses heavily using the Azure cloud.

To learn more, read our detailed Azure Stream Analytics vs. Qlik Talend Cloud Report (Updated: December 2025).

Buyer's Guide

Azure Stream Analytics vs. Qlik Talend Cloud

December 2025

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Helped 881,082 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

4.7

Azure Stream Analytics offers quick, efficient streaming solutions with about 10% ROI, minimizing upfront costs through its cloud-based setup.

Sentiment score

5.8

Qlik Talend Cloud enhances efficiency and cost savings, enabling rapid task completion and smooth transitions with reduced errors.

No quotes available

For more quotes and insights, download the Azure Stream Analytics report

It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.

Henrique Fsantos

Data & Analytics Engineer at PicPay

We actually achieved the first 18 months worth of work in the first six months.

Jason Hale

Enterprise Architect at Waikato Regional Council

For more quotes and insights, download the Qlik Talend Cloud report

Customer Service

Sentiment score

6.0

Azure Stream Analytics customer service is generally supportive, though response times and quality can vary by subscription and location.

Sentiment score

7.1

Qlik Talend Cloud's customer service is praised for responsiveness, efficiency, supportive interactions, knowledgeable support, and helpful resources.

There is a big communication gap due to lack of understanding of local scenarios and language barriers.

Kay Li

PU Head of Manufacturing Industry at Wiadvance Technology Co

They've managed to answer all my questions and provide help in a timely manner.

Sarath Boppudi

Data Strategist, Cloud Solutions Architect at BiTQ

The support on critical issues depends on the level of subscription that you have with Microsoft itself.

Mahmoud Abukhamseh

DevSecOps Manager at APGecommerce

For more quotes and insights, download the Azure Stream Analytics report

The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

I would rate the technical support from Talend Data Quality as an 8 or 9.

Karthik Babu

Senior Consultant at a tech services company with 201-500 employees

The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.

Pabin Vaz

Assistant Consultant at a tech vendor with 10,001+ employees

For more quotes and insights, download the Qlik Talend Cloud report

Scalability Issues

Sentiment score

7.3

Azure Stream Analytics provides efficient, scalable real-time data streaming with minimal maintenance, supporting diverse industries through straightforward scaling.

Sentiment score

7.0

Qlik Talend Cloud efficiently scales in cloud environments, with positive feedback on performance, parallelization, and dynamic scaling capabilities.

Maintenance requires a couple of people, however, it's not a full-time endeavor.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

This is crucial for applications demanding constant monitoring, such as healthcare or financial services.

Chandra Mani

Technical architect at Tech Mahindra

Azure Stream Analytics is scalable, and I would rate it seven out of ten.

Kay Li

PU Head of Manufacturing Industry at Wiadvance Technology Co

For more quotes and insights, download the Azure Stream Analytics report

By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.

Henrique Fsantos

Data & Analytics Engineer at PicPay

The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.

Pabin Vaz

Assistant Consultant at a tech vendor with 10,001+ employees

For more quotes and insights, download the Qlik Talend Cloud report

Stability Issues

Sentiment score

6.3

Azure Stream Analytics is typically stable, though challenges include VM errors and job failures; support is efficiently accessible.

Sentiment score

7.1

Qlik Talend Cloud is generally stable, though users may encounter issues with large datasets, server reboots, and updates.

They require significant effort and fine-tuning to function effectively.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

For example, Azure Stream Analytics processes more data every second, which is why it's recommended for real-time streaming.

Chandra Mani

Technical architect at Tech Mahindra

For more quotes and insights, download the Azure Stream Analytics report

We have not encountered many issues with remote engines, and the interfaces are properly developed.

Selim Seddiki

Consultant en intelligence décisionnelle at VO2 Group

Once the jobs are properly designed and deployed, they run reliably without major issues.

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

It was not as stable when we were using TAC and on-premise systems, but currently, with Qlik Talend Cloud version 8.3 or 8.1, it is stable.

Sudhir Pundir

Data Engineer at HCLSoftware

For more quotes and insights, download the Qlik Talend Cloud report

Room For Improvement

Azure Stream Analytics needs improved integration, flexibility, UI, job monitoring, Power BI compatibility, and AI-enhanced features for better user experience.

Qlik Talend Cloud faces crashes, multitasking issues, poor documentation, stability problems, and lacks tools, needing improvements in security and support.

A cost comparison between products is also not straightforward.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

There's setup time required to get it integrated with different services such as Power BI, so it's not a straight out-of-the-box configuration.

Sarath Boppudi

Data Strategist, Cloud Solutions Architect at BiTQ

Azure Stream Analytics currently allows some degree of code writing, which could be simplified with low-code or no-code platforms to enhance performance.

Chandra Mani

Technical architect at Tech Mahindra

For more quotes and insights, download the Azure Stream Analytics report

On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.

Jason Hale

Enterprise Architect at Waikato Regional Council

Better cost and resource visibility would help teams optimize their workloads.

Henrique Fsantos

Data & Analytics Engineer at PicPay

It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

For more quotes and insights, download the Qlik Talend Cloud report

Setup Cost

Azure Stream Analytics pricing is competitive, with optimization options, but billing complexity and short free trial need improvement.

Qlik Talend Cloud offers subscription-based pricing with varied costs, emphasizing package evaluation to manage expenses effectively.

Choosing between pay-as-you-go or enterprise models can affect pricing, and depending on data volume, charges might increase substantially.

Chandra Mani

Technical architect at Tech Mahindra

From my point of view, it should be cheaper now, considering the years since its release.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

We sell the data analytics value and operational value to customers, focusing on productivity and efficiency from the cloud.

Kay Li

PU Head of Manufacturing Industry at Wiadvance Technology Co

For more quotes and insights, download the Azure Stream Analytics report

My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.

Pabin Vaz

Assistant Consultant at a tech vendor with 10,001+ employees

The license cost has increased significantly, leading many companies to seek more profitable options in the market.

reviewer2784657

ETL developer at a tech vendor with 10,001+ employees

For more quotes and insights, download the Qlik Talend Cloud report

Valuable Features

Azure Stream Analytics provides scalable, user-friendly real-time analytics with SQL-based queries, IoT compatibility, and integrated machine learning features.

Qlik Talend Cloud provides high-performance data integration with real-time access, extensive connectors, automation, and robust data quality tools.

It's very accurate and uses existing technologies in terms of writing queries, utilizing standard query languages such as SQL, Spark, and others to provide information.

Sarath Boppudi

Data Strategist, Cloud Solutions Architect at BiTQ

Azure Stream Analytics reads from any real-time stream; it's designed for processing millions of records every millisecond.

Chandra Mani

Technical architect at Tech Mahindra

It is quite easy for my technicians to understand, and the learning curve is not steep.

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

For more quotes and insights, download the Azure Stream Analytics report

By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month.

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

We perform profiling prior to data quality and post-data quality, and based on that, we determine how much it has improved to measure the efficiency of Talend Data Quality cleaning tools.

Karthik Babu

Senior Consultant at a tech services company with 201-500 employees

The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work.

Henrique Fsantos

Data & Analytics Engineer at PicPay

For more quotes and insights, download the Qlik Talend Cloud report

Categories and Ranking

Azure Stream Analytics

Ranking in Streaming Analytics

3rd

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Streaming Analytics

9th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Integration Platform as a Service (iPaaS) (9th)

Mindshare comparison

As of January 2026, in the Streaming Analytics category, the mindshare of Azure Stream Analytics is 6.2%, down from 11.6% compared to the previous year. The mindshare of Qlik Talend Cloud is 1.8%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Azure Stream Analytics	6.2%
Qlik Talend Cloud	1.8%
Other	92.0%

Streaming Analytics

Featured Reviews

Chandra Mani

Technical architect at Tech Mahindra

Has supported real-time data validation and processing across multiple use cases but can improve consumer-side integration and streamlined customization

I widely use AKS, Azure Kubernetes Service, Azure App Service, and there are APM Gateway kinds of things. I also utilize API Management and Front Door to expose any multi-region application I have, including Web Application Firewalls, and many more—around 20 to 60 services. I use Key Vault for managing secrets and monitoring Azure App Insights for tracing and monitoring. Additionally, I employ AI search for indexer purposes, processing chatbot data or any GenAI integration. I widely use OpenAI for GenAI, integrating various models with our platform. I extensively use hybrid cloud solutions to connect on-premise cloud or cloud to another network, employing public private endpoints or private link service endpoints. Azure DevOps is also on my list, and I leverage many security concepts for end-to-end design. I consider how end users access applications to data storage and secure the entire platform for authenticated users across various use cases, including B2C, B2B, or employee scenarios. I also widely design multi-tenant applications, utilizing Azure AD or Azure AD B2C for consumers. Azure Stream Analytics reads from any real-time stream; it's designed for processing millions of records every millisecond. They utilize Event Hubs for this purpose, as it allows for event processing. After receiving data from various sources, we validate and store it in a data store. Azure Stream Analytics can consume data from Event Hubs, applying basic validation rules to determine the validity of each record before processing.

Read full review

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

11%

Manufacturing Company

University

Financial Services Firm

12%

Computer Software Company

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	3
Large Enterprise	18

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

Questions from the Community

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What is your experience regarding pricing and costs for Azure Stream Analytics?

Azure charges in various ways based on incoming and outgoing data processing activities. Choosing between pay-as-you-go or enterprise models can affect pricing, and depending on data volume, charge...

See all answers

What needs improvement with Azure Stream Analytics?

There is a need for improvement in reprocessing or validation without custom code. Azure Stream Analytics currently allows some degree of code writing, which could be simplified with low-code or no...

See all answers

What do you like most about Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

See all answers

What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

See all answers

What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

See all answers

Comparisons

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Compared 19% of the time

Apache Flink vs Azure Stream Analytics

Compared 15% of the time

Databricks vs Azure Stream Analytics

Compared 15% of the time

Amazon Kinesis vs Azure Stream Analytics

Compared 12% of the time

Apache Spark Streaming vs Azure Stream Analytics

Compared 7% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 7% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 4% of the time

SSIS vs Qlik Talend Cloud

Compared 3% of the time

Collibra Platform vs Qlik Talend Cloud

Compared 3% of the time

SAP Data Services vs Qlik Talend Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

Azure Stream Analytics

January 2026

Download Azure Stream Analytics product report

Buyer's Guide

Qlik Talend Cloud

January 2026

Download Qlik Talend Cloud product report

Also Known As

ASA

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

Azure Stream Analytics is a robust real-time analytics service that has been designed for critical business workloads. Users are able to build an end-to-end serverless streaming pipeline in minutes. Utilizing SQL, users are able to go from zero to production with a few clicks, all easily extensible with unique code and automatic machine learning abilities for the most advanced scenarios.

Azure Stream Analytics has the ability to analyze and accurately process exorbitant volumes of high-speed streaming data from numerous sources at the same time. Patterns and scenarios are quickly identified and information is gathered from various input sources, such as social media feeds, applications, clickstreams, sensors, and devices. These patterns can then be implemented to trigger actions and launch workflows, such as feeding data to a reporting tool, storing data for later use, or creating alerts. Azure Stream Analytics is also offered on Azure IoT Edge runtime, so the data can be processed on IoT devices.

Top Benefits

User friendly: Azure Stream Analytics is very straightforward and easy to use. Out of the box and with a few clicks, users are able to connect to numerous sources and sinks, and easily develop an end-to-end pipeline. Stream Analytics can easily connect to Azure IoT Hub and Azure Event Hub for streaming ingestion, in addition to connecting with Azure Blob storage for historical data ingestion.
Flexible deployment: For low-latency analytics, Azure Stream Analytics can run on Azure Stack or IoT edge. For large-scale analytics, the solution can run in the cloud. Azure Stream Analytics uses the same query language and tools for both the cloud and the edge, facilitating an easier process for developers to design exceptional hybrid architectures for streaming processes.
Cost-effective: With Azure Stream Analytics, users only pay for the streaming units they consume; there are no upfront costs. Users can easily scale up or down as needed; there is no commitment or cluster provisioning.
Trustworthy: Azure Stream Analytics guarantees event processing to be 99.99% available with a minute level of granularity. Azure Stream Analytics has embedded recovery capabilities and checkpoints to keep things running smoothly at all times. Events are never lost with Azure Stream Analytics at-least once delivery of events and exactly one event processing.

Reviews from Real Users

“Azure Stream Analytics is something that you can use to test out streaming scenarios very quickly in the general sense and it is useful for IoT scenarios. If I was to do a project with IoT and I needed a streaming solution, Azure Stream Analytics would be a top choice. The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex.” - Olubisi A., Team Lead at a tech services company.

“It's used primarily for data and mining - everything from the telemetry data side of things. It's great for streaming and makes everything easy to handle. The streaming from the IoT hub and the messaging are aspects I like a lot.” - Sudhendra U., Technical Architect at Infosys

Microsoft

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Azure Stream Analytics vs. Qlik Talend Cloud

December 2025

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