Learn about data integration, migration, replication, and strategic data practices.

Airbyte vs AWS Glue: Which ETL Tool to Choose?

July 11th, 2025 By Sarad Mohanan in Data Engineering

Working with Salesforce, PostgreSQL, and S3? Understanding how Airbyte and AWS Glue approach ETL can save you hours of deployment time and simplify data pipeline management. While Airbyte focuses on…

Talend vs AWS Glue: Which ETL Tool Is Best for Your Data Stack?

July 11th, 2025 By Sarad Mohanan in Data Engineering

Choosing the right ETL tool for data integration can be tricky, especially when comparing widely used solutions like Talend and AWS Glue. Talend is known for its flexibility, rich connector…

Matillion vs Azure Data Factory: Which Tool Should You Choose?

July 11th, 2025 By Srujana Maddula in Data Integration

Do you need a flexible tool that supports both on-premises integration and cloud capabilities? Or are you looking for workflow orchestration features? In that case, Azure Data Factory might be…

Rivery vs Informatica: Finding the Perfect Data Integration Platform For Your Organization

July 11th, 2025 By Sarad Mohanan in Data Integration

If you want to move fast and keep your team productive, Rivery is your answer. If you need to handle absolutely everything, Informatica is unbeatable. It's definitely a tough call…

Stitch vs. Hevo – A Guide to Find Out Which One is Better for Your Data Team

July 11th, 2025 By Himali Salot in Data Engineering

Most ETL tools provide beyond the basics, including connectors, scheduling, and automation. But the real test begins once your data pipelines are live - how often do they break, how…

What Is AI in Data Integration: Benefits, Use Cases, and Tools

July 11th, 2025 By Sarad Mohanan in Data Integration

Key Takeaways AI is changing how teams manage data by automating the difficult parts, like broken pipelines, mismatched fields, and handling schema shifts. From healthcare to finance and retail, businesses…

A Guide to ETL Automation in 2025

July 4th, 2025 By Sarad Mohanan in ETL

Does your ETL automation handle schema changes in real-time? If not, this blog is for you. Manual ETL pipelines are error-prone and time-consuming, making them difficult to scale.In 2025, the…

Data Infrastructure Modernization: How to Do it the Right Way

July 4th, 2025 By Suraj Poddar in Data Engineering

Your data infrastructure is probably holding your business back right now. Legacy systems create bottlenecks, drain budgets, and leave teams frustrated with slow, manual processes that can't keep up with…

How to Build Scalable Data Architectures for High-Volume Systems

July 4th, 2025 By Sarthak Bhardwaj in Data Transformation

Most businesses can hardly handle the growth they face today. We aren’t the ones saying it. According to Gartner, nearly 85% of big data projects don’t succeed, mainly because of…

ETL vs iPaaS: Which one to choose?

July 4th, 2025 By Srujana Maddula in Data Integration, ETL

According to Productiv’s data, the average company uses 254 applications. That's a lot of tools, and integrating them or their data is important to automate workflows, streamline reporting, or perform…

Top ETL Use Cases: Industry-Specific for BI & Analytics

July 4th, 2025 By Vaishnavi Srivastava in ETL

If you’ve ever waited forever for a report, stared at a broken dashboard, or stitched together five messy Excel sheets to answer one simple question, you’re not alone. It’s frustrating…

Why the Next Generation of Data Engineers Will Work With AI, Not Fight It?

July 4th, 2025 By Preethi Varma in Data Engineering

Not long ago, building a production-grade data pipeline was a multi-day effort. You’d define transformations, manage orchestration logic, tune for scale, and troubleshoot edge cases before anything was ready for…

Airbyte vs Singer: A Data Engineer’s Guide to Making the Right Choice

June 27th, 2025 By Preethi Varma in Data Integration

With the rise of data complexity and an increasing need for real-time insights, teams must choose the right tool to handle these integrations. Airbyte’s unique selling point (USP) is its…

How to Build a Scalable AI Data Pipeline: Benefits, Steps, and Challenges

June 20th, 2025 By Rajashree Bhat in Data Engineering, Data Pipeline

Every AI model requires an efficient data flow to fuel it. However, most teams struggle when building an efficient AI data pipeline. Traditional data pipelines were designed to move and…

Serverless Data Pipeline: Components, Use Cases, Examples & Challenges

June 20th, 2025 By Sarad Mohanan in Data Integration

Traditional data pipelines often come with the burden of managing a large infrastructure and the inability to scale during traffic spikes. Also, frequent patching and server maintenance add to operational…

Apache NiFi vs Azure Data Factory

June 20th, 2025 By Suraj Poddar in Data Integration

Which data integration tool aligns well with your integration needs: Apache NiFi or Azure Data Factory? If that's your question, keep reading! Apache NiFi is built on a flow-based programming…

Airbyte vs Meltano – What’s Best for Your ELT Needs?

June 20th, 2025 By Himali Salot in Data Integration

If you are choosing a data integration tool for your modern stack, Airbyte and Meltano are two of the strongest open-source options. Airbyte is popular for its extensive pre-built connector…

Hevo vs Striim – Which One Fits Your Data Stack?

June 20th, 2025 By Himali Salot in Data Integration, ETL

When your data pipeline starts to slow down your team or consume too many engineering hours, it's usually time for a more efficient system. And if that's what brought you…

Fivetran vs Striim: Which One Drives Better Data Efficiency for Modern Teams?

June 13th, 2025 By Sarad Mohanan in Data Integration, ETL

Choosing a data integration tool shouldn’t feel like performing a surgery blindfolded, but it often does. If you’re stuck between Fivetran vs Striim, you’re probably asking questions like, “Does this…

Outpace Talend: 5 Talend Alternatives to Supercharge Your Data Integration in 2025

June 13th, 2025 By Preethi Varma in Data Integration, ETL

You might be using Talend for data integration or considering it for your next ETL workflow. It’s simple, cloud-based, and easy to use, but is it the right long-term fit…

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Popular Articles

Airbyte vs AWS Glue: Which ETL Tool to Choose?

Talend vs AWS Glue: Which ETL Tool Is Best for Your Data Stack?

Matillion vs Azure Data Factory: Which Tool Should You Choose?

Rivery vs Informatica: Finding the Perfect Data Integration Platform For Your Organization

Stitch vs. Hevo – A Guide to Find Out Which One is Better for Your Data Team

What Is AI in Data Integration: Benefits, Use Cases, and Tools

A Guide to ETL Automation in 2025

Data Infrastructure Modernization: How to Do it the Right Way

How to Build Scalable Data Architectures for High-Volume Systems

ETL vs iPaaS: Which one to choose?

Top ETL Use Cases: Industry-Specific for BI & Analytics

Why the Next Generation of Data Engineers Will Work With AI, Not Fight It?

Airbyte vs Singer: A Data Engineer’s Guide to Making the Right Choice

How to Build a Scalable AI Data Pipeline: Benefits, Steps, and Challenges

Serverless Data Pipeline: Components, Use Cases, Examples & Challenges

Apache NiFi vs Azure Data Factory

Airbyte vs Meltano – What’s Best for Your ELT Needs?

Hevo vs Striim – Which One Fits Your Data Stack?

Fivetran vs Striim: Which One Drives Better Data Efficiency for Modern Teams?

Outpace Talend: 5 Talend Alternatives to Supercharge Your Data Integration in 2025

Optimize Your Data Integration with Hevo!

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Optimize Your Data Integration with Hevo!

Optimize Your Data Integration with Hevo!