Popular Articles

Firebolt vs BigQuery: 6 Comprehensive Differences

May 3rd, 2024 By Radhika Sarraf in BigQuery, Data Warehousing, Versus

With the data growing at a very fast pace, the requirements to store and process data are also increasing. Businesses use Data Warehouses to store the data. Cloud Data Warehouses…

Navigating Data Integration Problems: Challenges, Insights, and Practical Solutions

December 15th, 2024 By Muhammad Usman Ghani Khan in Data Integration

The rapid growth of data is changing industries globally. According to Statista, in 2024, the overall amount of data created equaled 149 zettabytes, while the estimated number by 2028 is…

Coalesce vs dbt: 7 Key Differences & Best Choice for You

January 31st, 2025 By Kamlesh in Data Strategy, Versus

Choosing the right data transformation tool can make all the difference for efficient data workflows. Coalesce and dbt are two of the most popular choices that bring unique features to…

Apache Druid vs BigQuery: 18 Key Differences

May 10th, 2024 By Dimple M K in BigQuery, Data Warehousing, Versus

Enterprises need a Data Warehouse to examine data over time and deliver actionable business intelligence. The need to efficiently pull together data from a broad array of ever-evolving data sources…

Databricks DATEDIFF Function

November 29th, 2024 By Nidhi Bansal in Data Warehousing

Databricks is a well-known cloud-based data engineering, processing, and analytics platform. One of its key functions is DATEDIFF(date_diff()) used by data professionals widely. The DATEDIFF function in Databricks is very…

Connecting AWS RDS Oracle to Snowflake: 2 Effective Methods

April 26th, 2024 By Suraj Kumar Joshi in AWS, Data Integration, Snowflake

Key Takeaways Transferring data from AWS RDS Oracle to Snowflake can either be donw using COPY command in Amazon S3 or in two simple steps using an automated tool like…

AWS Glue vs Matillion: Which is the right ETL tool for you?

September 3rd, 2024 By Kamlesh in Platform, Product

As far as data pipeline construction and maintenance are concerned, ETL (Extract, Transform, Load) tools play a crucial role, and their selection determines success. When considering the market offerings, AWS…

Amazon Redshift vs Netezza: 4 Critical Differences

April 12th, 2024 By Dimple M K in Data Warehousing, Redshift, Versus

In today’s world where Analytics is the backbone of the progress of any business, there are many established technology players who are providing equally good solutions for Data Warehousing. In…

Working with Salesforce Object APIs: 3 Easy Steps

June 25th, 2024 By Dimple M K in Data Strategy

Manually Tracking Sales-based Leads and collecting data from Customer Interactions, Social Media, Emails, etc. can be a cumbersome task, especially when your customer base is growing at an exponential rate.…

Using Emerging Technologies to Address Data Lake Challenges

July 23rd, 2024 By Adedotun Adeboye in Data Engineering

The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT.…

AWS DocumentDB to Snowflake Migration: 2 Easy Methods

May 31st, 2024 By Dimple M K in AWS, Data Integration, Snowflake

Easily move your data from AWS DocumentDB 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…

What is Observability for Data Engineering: Explained with Examples

March 22nd, 2024 By Kyle Kirwan in Data Strategy

Kyle Kirwan is the CEO and co-founder of Bigeye, the premier data observability platform. Bigeye gives observability for Data Engineering and science teams the tools they need to ensure their…

What Is ETL Data Mapping And Why Should You Know About It?

February 7th, 2025 By Vishal Agrawal in Data Engineering

In today’s data-driven world, businesses rely solely on data to make informed decisions. For this, they need to efficiently extract, transform, and load (ETL) vast amounts of data. While ETL…

Best Snowflake Performance Tuning Tactics

June 20th, 2024 By Nitin Birajdar in Data Warehousing, Snowflake

In recent years, businesses worldwide have scaled up their Data Collection operations, leading to the term 'Big Data.' Today, companies collect information from various sources, including Business Transactions, Industrial Equipment,…

Presenting Hevo’s ELT Pipelines with Inflight Transformation

April 20th, 2024 By Team Hevo in Data Integration, ETL

The ELT process has modernized data pipelines, fastened your data loading speed, and facilitated efficient data analysis.  However, there is still a delay in the analysis and the time to…

Amazon Redshift vs MySQL: A Detailed Comparison of Database Solutions

May 3rd, 2024 By Amit Phaujdar in Data Warehousing, Redshift, Versus

Amazon Redshift is a petabyte-scale Cloud-based Data Warehouse service. It is optimized for datasets ranging from a hundred gigabytes to a petabyte can effectively analyze all your data by allowing…

Airbyte vs Informatica: Detailed Comparison for 2025

April 23rd, 2025 By Arun Chaudhary in Platform, Product

With businesses relying on vast amounts of data from various sources, integrating this data into a single system becomes complex. Two leading solutions in the market for tackling this challenge…

What Is a Universal Semantic Layer? Implentation Steps, Popular Tools & Use Cases Explained

February 16th, 2025 By Srujana Maddula in Data Strategy

Big data is now crucial for driving business decisions. Companies are tapping into it to gain valuable insights and make smarter moves. To unlock this power, they're using tools like…

Mastering Data Consolidation: Benefits, Techniques, and Challenges

December 20th, 2024 By Hafiz Umer Draz in Data Engineering

Introduction Floundering with data fragmentations across various systems? For businesses trying to thrive in a competitive world, seamless access to unified and real data is no longer optional but inevitable.…

Data Pipeline Lambda: A Comprehensive Guide 101

June 7th, 2024 By Skand Agrawal in Data Engineering, Data Pipeline

Organizations today process and transform a large amount of data with ETL (extract, load, and transform) pipelines. But, loading and transforming this big data is time-consuming. However, sometimes, you do…