Popular Articles

Oracle BigQuery Comparison: 11 Critical Differences

May 10th, 2024 By Veeresh Biradar in BigQuery, Data Warehousing, Versus

Before the database system was invented, data was commonly stored in flat files like text files or CSV files. OracleDB was invented very early with a very large market across…

Data Lake vs Data Warehouse vs Database: Top 5 Differences

September 11th, 2024 By Skand Agrawal in Data Warehousing, Database Management System

1GB of data was referred to as big data in 1999. Nowadays, the term is used for petabytes or even exabytes of data (1024 Petabytes), close to trillions of records…

Redshift Datepart Function 101: Syntax and Usage Simplified

June 7th, 2024 By Sanchit Agarwal in Data Warehousing, Redshift

With the emergence of Cloud Data Warehouses, enterprises are gradually moving towards Cloud storage leaving behind their On-premise Storage systems. This shift is observed owing to the high computing power…

Data Lake vs Delta Lake: Which is Better for Your Data Strategy?

July 31st, 2024 By Martina Šestak in Data Engineering

The fast-growing pace of big data volumes produced by modern data-driven systems often drives the development of big data tools and environments that aim to support data professionals in efficiently…

Building with AWS Glue S3: A Step-by-Step Guide

August 28th, 2024 By Suraj Poddar in Platform, Product

In this blog, we will explore how to build a data pipeline using AWS Glue S3. We will go through every step of the process, and by the end, you…

What is Data Replication? The Comprehensive 101 Guide

May 17th, 2024 By Sarthak Bhardwaj in Data Replication, Tutorials

One of the biggest challenges that most organizations face today is ensuring the high availability and accessibility of data over the complex set of networks they have in place. Having…

Fivetran vs AWS Glue: Compare Leading ETL Tools with Features and Pricing

April 23rd, 2025 By Kamlesh in Platform, Product

Key Takeaways Fivetran and AWS Glue are both powerful ETL tools, but they serve different purposes. Fivetran: Best for teams that want a fully managed, no-code ELT platform with 700+…

Fivetran vs Supermetrics: A Guide to Choose the Right ETL Tool

April 23rd, 2025 By Vaishnavi Srivastava in Platform, Product

Key Takeaways Fivetran and Supermetrics both automate data integration, but serve different needs. Fivetran is built for engineers loading data into warehouses, while Supermetrics serves marketers pulling data into spreadsheets…

Cloud Data Analytics: Workings, Benefits, Best Practices, Tools

December 29th, 2023 By Jalaj Jain in Data Strategy

Globally, an increasing number of data-driven organizations are using cloud platforms to efficiently utilize their data assets. As per recent data, over 80% of organizations use cloud environments to perform…

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…

Airflow vs AWS Glue: Comparison of Leading Data Integration Tools for 2026

August 21st, 2024 By Amit Gupta in Platform, Product

KEY TAKEAWAY Apache Airflow excels at orchestrating and scheduling multi-system workflows with fine-grained control. However, it demands infrastructure management and Python expertise. AWS Glue focuses on serverless ETL inside the…

Firebolt vs Snowflake: Which Tool Suits You the Best?

May 10th, 2024 By Skand Agrawal in Data Warehousing, Snowflake, Versus

With organizations generating huge volumes of both Structured and Unstructured data, the demand for data storage is on the rise. Organizations need data storage options that can be accessed from…

Informatica vs Matillion: The Top 5 Differences Explained

April 23rd, 2025 By Muskan Kesharwani in Platform, Product

ETL tools are very important to a business dealing with varied data sources. An efficient ETL tool provides the platform to migrate data from multiple sources to a single destination…

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…

Webhook to Snowflake: Converting Leads into Opportunities

May 17th, 2024 By Saloni Agarwal in Data Integration, Snowflake

Easily move your data from Webhook 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 see the…

The Data Engineering Wrap-Up: 2026’s Biggest Trends

December 19th, 2024 By Sid Lasley in Data Engineering

With the year 2026 going on, it is time to examine the significant trends and advancements that have impacted the field of data engineering. If you’re like me, you’ve been…

Data Quality Checks in Data Warehouses

September 26th, 2024 By Asimiyu Musa in Data Warehousing

The importance of data quality within an organization cannot be overemphasized as it is a critical aspect of running and maintaining an efficient data warehouse. It tells us how well…

Using Debezium CDC for Easy Real Time Data Migration in 2025

September 1st, 2024 By Radhika Gholap in Change Data Capture CDC

In today’s fast-paced data environment, Change Data Capture (CDC) transforms how organizations handle and synchronize their expanding data volumes. According to the Market Analysis Report, the global data management market…

Snowflake Linux Installation: 2 Easy Methods

May 24th, 2024 By Dimple M K in Data Warehousing, Snowflake

Snowflake is one of the most trusted Data Warehouse solutions currently on the market. It provides a wide range of functionality that is easy to access and utilize. Snowflake Linux…

What is Data Architecture? Types, Components and Benefits

December 15th, 2024 By Dipal Prajapati in Data Strategy

Introduction to Data Architecture Data architecture shows how data is managed, from collection to transformation to distribution and consumption. It tells about how data flows through the data storage systems.…