Data Integration

12 Best Databricks ETL Tools to Consider in 2025

October 10th, 2025 By Vaishnavi Srivastava in Data Integration, Uncategorized

KEY TAKEAWAY Managing Databricks data becomes effortless when powered by the right ETL tools. Here are the top 5 ETL Tools for Databricks: Hevo Data: A fully no-code ETL tool…

Ingest Data into MotherDuck via S3 Staging Using Hevo Pipelines

October 6th, 2025 By Skand Agrawal in Data Integration

MotherDuck is a serverless data warehouse built on DuckDB that enables SQL analytics at scale and integrates seamlessly with cloud storage. You can create a Hevo Pipeline to ingest data…

12 Best Redshift ETL Tools to Consider in 2025

September 26th, 2025 By Satyam Agrawal in Redshift

Struggling to compare Redshift ETL options? Moving data from dozens of apps, databases, and platforms into a single source of truth doesn’t come easy. Enter Redshift ETL tools! These tools…

What Are Data Connectors? Types,AI Capabilities,and Strategic Selection

September 26th, 2025 By Sarad Mohanan in Data, Data Integration

Key takeaways Data connectors simplify data movement between your systems. They replace manual CSV uploads and downloads, and handle authentication, errors, and data formatting that basic APIs can’t.As your data…

Database-to-Database Integration: A Complete 2025 Guide

September 26th, 2025 By Shiny Vineetha in Data Integration

In 2025, data will no longer stay in a single system but will flow across transactional databases, SaaS applications, and edge platforms. The performance of an organization depends on connecting…

10 Best Data Consolidation Tools to Consider in 2025

September 24th, 2025 By Skand Agrawal in Data Engineering, Data Integration

What happens when your data is scattered across CRMs, spreadsheets, and cloud apps? Fragmented datasets aren’t just an inconvenience; they’re a roadblock to faster decisions and accurate reporting.That’s where data…

10 Things to Keep in Mind When You Migrate From Fivetran

September 12th, 2025 By Sarthak Bhardwaj in Data Integration

Key takeaways Here’s what to consider when migrating from Fivetran. Map your Fivetran data, including sources, destinations, and transformations. Select a platform considering your team’s needs and goals. Ensure continuity…

10 Best iPaaS Platforms to Consider in 2025

September 12th, 2025 By Vaishnavi Srivastava in Data Integration

Running multiple SaaS apps often feels like a circus act where you juggle too many balls at once. Drop one, and workflows collapse, silos grow, and teams lose time. iPaaS…

10 Best SaaS Integration Platforms to Consider in 2025

September 12th, 2025 By Satyam Agrawal in Data Integration, Platform, Product

What’s the hidden cost of managing disconnected systems? It’s frustrated teams, fragmented data, and time-consuming manual workarounds. The solution? A modern data infrastructure built on well-connected and synchronized applications. That’s…

10 Best AWS Migration Tools to Consider in 2025

September 5th, 2025 By Chirag Agarwal in AWS, Data Integration

How do you avoid downtime risks during AWS migration? Without the right tools, migrating to AWS can be costly and disruptive. That’s where AWS migration tools enter.  These tools don’t…

Best Airtable ETL Tools to Consider in 2025

September 5th, 2025 By Skand Agrawal in Data Integration, ETL

Airtable has become a favorite for teams that need flexibility without the complexity of a full-fledged database. From startups to large enterprises, it powers workflows across the business. But as…

10 Best Looker ETL Tools to Consider in 2025

September 5th, 2025 By Skand Agrawal in Data Integration, Looker Studio

Looker has been a reliable tool to turn raw data into actionable insights. It helps teams make smarter decisions across marketing, sales, and operations. However, Looker can deliver that value…

Fivetran vs Dataddo: Which Data Integration Tool Is Right for You?

September 5th, 2025 By Sarthak Bhardwaj in Data Integration

The choice of a data integration platform is a high-stakes decision that directly impacts your operational efficiency, resource allocation, and strategic outcomes. If it’s a Fivetran vs Dataddo debate, things…

10 Best HubSpot ETL Tools to Consider in 2025

September 1st, 2025 By Sarthak Bhardwaj in Data Integration

Managing data effectively is at the heart of every modern business. If you use HubSpot, your marketing campaigns, sales forecasts, and dashboards all depend on clean, unified data that flows…

10 Best Databricks ETL Tools to Consider in 2025

September 1st, 2025 By Skand Agrawal in Data Integration

Every company today generates large amounts of data from customer activities, internal systems, and third-party platforms. The real challenge is not collecting this data but transforming it into accurate insights…

ETL as a service

September 1st, 2025 By Srujana Maddula in Data Integration, ETL

Companies prefer ETLaaS (ETL as a Service) because traditional ETL pipelines require heavy maintenance. They demand in-house experts and local hardware setup, which is both complex and expensive. Traditional ETL…

Decoding Fivetran’s Opaque Bills: An ETL Cost Monitor Built for Snowflake

August 26th, 2025 By Rahul Jagdish in Data Integration

If you’ve worked with Fivetran for a while, you’ve probably seen this pattern: the bill looks manageable for a few months, then suddenly jumps by 50% or more. In some…

Top 7 ETL Trends in 2025: Your Guide to What’s Next

August 22nd, 2025 By Suraj Poddar in Data Integration

Your ETL pipeline might have been state-of-the-art in 2020, but in 2025, it’s likely slowing your data team down. In a market already worth $7.63 billion in 2024 and projected…

Fivetran Pitfalls: What to Know Before You Commit

August 22nd, 2025 By Sarthak Bhardwaj in Data Integration

Fivetran is one of the most well-known names in data pipeline automation. Its appeal lies in automation, no-code setup, and managed connectors. For many teams, this makes it a natural…

Fivetran vs Snowflake: What Teams Should Know Before Deciding

August 22nd, 2025 By Srijan Sharma in Data Integration, Snowflake

Looking to centralize fragmented data sources into a single warehouse? The idea is to bring data sources together in one place where they can be cleaned, queried, and turned into…