Popular Articles

Integrating Azure MySQL to Databricks: Unlock Real-Time Insights

May 10th, 2024 By Suraj Kumar Joshi in Data Integration, MySQL

Key Takeaways Integrating Azure MySQL with Databricks lets you run advanced analytics and ML on your live transactional data. Two streamlined approaches: Method 1: No-Code ELT (Hevo) Configure Azure MySQL…

How to Move Data from AWS Aurora Postgres to Snowflake

April 20th, 2024 By Suraj Kumar Joshi in AWS, Data Integration, PostgreSQL, Snowflake

Easily move your data from AWS Aurora Postgres to Snowflake to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to…

Airflow vs NiFi: Choosing the Right Tool

August 23rd, 2024 By Kamlesh in Data Engineering

In the modern, data-driven world, efficient workflow automation and data pipeline orchestration are crucial for any organization connected to complicated data systems. Whether a data engineer, IT professional, or decision-maker…

Building a Data Warehouse: A Step-by-Step Guide for Modern Businesses

November 21st, 2024 By Sarang Ravate in Data Warehousing

Today, information has become one of the most important resources of a company. Businesses are now creating more data in their systems such as customer sales, web traffic and activity,…

Emerging Trends in the Data Integration Market

March 29th, 2024 By Sarad Mohanan in Data Integration

Innovation is the keyword when it comes to data integration. Things are constantly evolving, and part of being in the industry is keeping up with the trends. Businesses that innovate…

An In-Depth Insight Into Snowflake Data Quality Practices

June 26th, 2024 By Veeresh Biradar in Data Warehousing, Snowflake

Data quality refers to your dataset’s dependability, precision, consistency, and completeness. High-quality data does not contain errors, discrepancies, or inefficiencies, making it appropriate for accurate analysis and decision-making. If your…

Querying Snowflake Semi-Structured Data: 2 Critical Aspects

June 7th, 2024 By Dimple M K in Data Warehousing, Snowflake

Data is empowering; it can help transform your business. To enable that transformation, businesses are collecting and storing as much data as they can. But some of this data such…

Airbyte vs Stitch: Detailed Comparison for 2025

November 29th, 2024 By Roopa Madhuri G in Data Integration, ETL

Picking between Airbyte and Stitch is a classic data team dilemma: do you want ultimate flexibility or pure simplicity? Airbyte is all about giving you control. It’s open-source, has a…

What are the 7 Critical Differences between Amazon Redshift vs Elasticsearch

May 3rd, 2024 By Rohit Guntuku in Data Warehousing, Redshift, Versus

Amazon Redshift is a Data Warehousing service. Redshift is based on the Amazon Web Services (AWS) architecture and provides great performance to its consumers. It's a columnar database, thus it's…

Databricks SQL: Everything to Know

July 3rd, 2024 By Sarthak Bhardwaj in Data Engineering

Databricks SQL is an efficient platform for querying and analyzing large datasets. Its SQL editor, interactive dashboards, and robust BI tool integration features can help you streamline data exploration and…

Alooma vs Fivetran vs Hevo: A Comprehensive Review

April 23rd, 2025 By Nikhil Annadanam in Platform, Product

Companies today have structured and unstructured data in multiple SaaS applications, databases, etc. Moving their data into a data warehouse/ data lake for analytics can be a challenge. Many companies…

Simplifying Business Data: The Power of Data Centralization 

December 15th, 2024 By Sarang Ravate in Data Engineering, Data Strategy

There is no denying the fact that in the modern business world, information reigns supreme because that is what is crucial in making decisions. The problem comes when this information…

Legacy SQL vs Standard SQL: Simplifying BigQuery Dialects

May 10th, 2024 By Sarthak Bhardwaj in BigQuery, Data Warehousing, Versus

In this age of data transformation where organizations are constantly seeking out ways to improve the day to day handling of data being produced and looking for methods to minimize…

Hive vs Redshift: 10 Key Differences

May 3rd, 2024 By Suraj Poddar in Data Warehousing, Redshift, Versus

The amount of data to be stored, monitored, and analyzed grows tremendously as a company grows. Queries on typical Database Warehouses will begin to take longer, making Data Management more challenging. With…

Informatica vs MuleSoft: Which Data Integration Tool is Right for You?

April 23rd, 2025 By Roopa Madhuri G in Data Engineering

With growing data and business needs, having an efficient data integration tool to migrate and manage your data has become crucial. Almost every organization keeps its data in different locations,…

Airflow Kubernetes Configuration 101: 5 Critical Steps

June 14th, 2024 By Suraj Poddar in Data Strategy

Airflow is a Task Automation tool. It helps organizations to schedule their tasks so that they are executed when the right time comes. This relieves the employees from doing tasks…

How to Integrate DynamoDB to S3 Within 1 Minute?

October 28th, 2024 By Kamlesh in AWS, Data Integration

Interactive Demo to Connect DynamoDB to S3 Using Hevo Steps to Connect DynamoDB to S3 Easily Step 1: Configure DynamoDB as your source. Click on the ‘Create Pipeline’ button. Search…

SQL Server to Azure Synapse: How to Migrate Data Quickly

April 12th, 2024 By Saloni Agarwal in Data Integration, SQL Server

Handling large volumes of business data is challenging. You can collect data from various sources using multiple techniques. This data can be thoroughly analyzed to gain valuable insights that optimize…

Understanding Data Warehouse Architecture

September 10th, 2024 By Neha Sharma in Data Warehousing

In today’s competitive era, data is a catalyst fueling businesses to grow faster. As data volumes increase, fetching insights from this data comes with its challenges. Sure, you can use…

Launching Hevo for Enterprise Data Excellence

May 8th, 2024 By Team Hevo in Platform, Product

Hevo is enterprise-friendly!  The needs of enterprise data systems are unique. With massive workloads and complex intertwined systems, data teams need partners who can understand their requirements intimately. Hevo can…