Recent Articles

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…

Best Azure Data Factory(ADF) Alternatives to Consider in 2025

June 13th, 2025 By Asimiyu Musa in Data Integration, ETL, Uncategorized

You might be using Azure Data Factory ETL for data integration or considering it for your next ETL workflow. It's simple and cloud-based, but is it the right long-term fit…

Fivetran vs Talend: Which is Better?

June 13th, 2025 By Suraj Poddar in Data Integration, ETL

Can’t decide what tool to choose for your data integration needs? Choosing the right one isn’t as simple as it seems. While Fivetran supports diverse data sources and automates ELT…

Airbyte vs Azure Data Factory – A Practical Comparison for Data Teams

June 13th, 2025 By Srujana Maddula in Data Integration, ETL

Choosing between Airbyte vs Azure Data Factory feels like picking between flexibility and stability. Airbyte offers an open-source product, 550+ connectors, and widespread community contributions - but demands hands-on maintenance…

Best Apache NiFi Alternatives to Consider in 2025

June 13th, 2025 By Raju Mandal in Data Integration, ETL

You are probably here because you are either using Apache NiFi for your data integration workflows or just exploring it as an option because of its visual interface, open-source nature,…

AWS Glue vs Azure Data Factory: ETL Comparison for Data Teams

June 13th, 2025 By Neha Sharma in ETL

A significant amount of market cloud infrastructure is spread between the top 3 cloud service providers, AWS, Azure, and GCP. However, when we talk about implementing data infrastructures, AWS and…

ETL vs Reverse ETL: Compare Features & Use Cases

June 6th, 2025 By Radhika Sarraf in Data Integration, ETL

Zeros and Ones pile up immeasurably fast in any digital operation, which is part of a thriving corporation. To make those ones and zeros useful, companies use data management processes,…

Automated Data Processing: Definition, Benefits & Tools

June 6th, 2025 By Kamlesh in Data Engineering

Tired of wasting hours on repetitive data tasks? Scaling businesses experience complex data pipelines and large volumes of data. From data ingestion, transformation, and storage, ETL workflows can become extensive.…

Best Estuary Alternatives to Consider in 2025

June 6th, 2025 By Skand Agrawal in Data Integration

“Is Estuary still the best tool for my data workflows in 2025?” If that’s your question, keep reading! As data engineers, developing and maintaining data pipelines that are fast, reliable,…

How To Migrate SQL Server To Apache Iceberg

May 30th, 2025 By Kamlesh in Data Integration, SQL Server

SQL Server has long been a trusted solution for managing structured data in enterprise environments. However, with the rise of big data and the need for scalable, cost-effective solutions, Apache…

Top 10 Skyvia Alternatives & Competitors in 2025

May 30th, 2025 By Neha Sharma in Data Integration

Are you already using Skyvia or considering it for your next ETL workflow? You must be fascinated by its simple and cloud-based architecture, but have you thought of its long-term…

The Benefits of Data Integration: Why Your Business Needs It

May 30th, 2025 By Khawaja Abdul Ahad in Data Integration

Businesses today capture data from SaaS apps, e-commerce platforms, databases, and IoT streams, yet these isolated sources create friction in analysis.  When left unintegrated, they demand manual reconciliation, introduce inconsistencies,…