Popular Articles

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…

Databricks vs Airflow: A Comprehensive Comparison

August 28th, 2024 By Arun Chaudhary in Platform, Product

In the evolving world of data engineering, selecting the right tools for data processing and workflow orchestration is crucial for ensuring efficient and scalable operations. Two popular tools in this…

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…

Fivetran vs Azure Data Factory (ADF): Key Differences, Features and Use Cases

April 23rd, 2025 By Arjun Narayan in Platform, Product

Key Takeaways Trying to decide between Fivetran and Azure Data Factory? We’ve compared them across key areas like architecture, pricing, connectors, transformations, and security. You’ll also find clear comparison tables…

The Data Engineering Wrap-Up: 2024’s Biggest Trends

December 19th, 2024 By Sid Lasley in Data Engineering

With the year 2024 nearing its end, 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…

Alooma Alternatives: The Top 12 List You Need

April 20th, 2024 By Radhika Sarraf in Platform, Product

After being acquired by Google in early 2019, Alooma has removed support for data warehouses that are not part of the Google cloud. This has been beneficial for Google users,…

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…

Foster Data-Driven Decisions Through Snowflake Data Analytics

June 14th, 2024 By Veeresh Biradar in Data Warehousing, Snowflake

Data analytics helps to derive valuable insights from your raw data. It helps you align your business processes for better outcomes by identifying trends and patterns in the data that…

Firebolt vs AWS Redshift: A Comprehensive Comparison of Firebolt AWS Features

May 3rd, 2024 By Nishant Tandon in Data Warehousing, Redshift, Versus

In this article, you will learn about Firebolt which is a recent Data Warehouse solution with flexible modern technologies, and AWS Redshift. A traditional Data Warehouse built by Amazon to…

Data Lake vs Data Warehouse: How to choose?

September 5th, 2024 By Vinita Mittal in Data Strategy

Currently, data management is a continually developing field that requires careful consideration when deciding which solution should be implemented to store, process, and analyze data effectively. There are two forms…

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…

Azure MySQL to BigQuery: 2 Easy Methods for Data Integration

May 10th, 2024 By Shuchi Chitrakar in BigQuery, Data Integration, MySQL

Easily move your data from Azure MySQL To BigQuery 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 are Databricks Materialized Views and How to Boost Query Performance Using Them?

November 15th, 2024 By Christina Rini in Data Engineering

Accessing and performing large volumes of data is crucial in data analytics and engineering. As datasets grow larger and more complex, executing queries repeatedly can become a bottleneck, slowing down…

Amazon S3 Tables: AWS Has Finally Entered the Open Table Format War

December 9th, 2024 By Suraj Poddar in AWS, Data Strategy

The explosion of data from devices, applications, and systems has driven the need for scalable, efficient storage and analytics solutions. Amazon S3, known for its durability and flexibility, evolves further…

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.…

Amazon Redshift vs Cassandra: 9 Comprehensive Differences

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

Two heavyweights stand apart, each one suited differently toward the management and analysis of a large volume of data—Amazon Redshift, in the case of AWS cloud-based data warehouse to run…

Alteryx vs Matillion: A Side-by-Side Detailed Comparison

September 5th, 2024 By Suraj Poddar in Data Integration, Data Pipeline

Data is the new currency in today's world, helping industries make decisions and innovations. To use data to its full potential, organizations require powerful tools to manage, transform, and analyze…

Data Mesh vs Data Warehouse: A Guide to Choosing the Right Data Architecture

September 10th, 2024 By Kamlesh in Best Practice, Data Strategy

Nowadays, when it comes to data management, every business has to make one critical decision: whether to use a Data Mesh or a Data Warehouse. Both are strong data management…

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.…