Recent Articles

MariaDB vs MongoDB | 10 Critical Differences

May 10th, 2024 By Muskan Kesharwani in Database Management System, MongoDB, Versus

MongoDB is an open-source document-oriented NoSQL database. It saves data in documents and allows users to interact with it using the NoSQL query language. MariaDB is an open-source relational database…

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…

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…

Hadoop S3 Comparison: 7 Critical Differences

May 10th, 2024 By Aakash Raman in Data Strategy, Versus

This article provides you with a comprehensive analysis of both storage techniques and highlights the major differences between them to help you make the Hadoop S3 comparison easily. It also…

BigQuery vs Snowflake: Choosing the Right Data Warehouse in 2025

May 10th, 2024 By Sarad Mohanan in BigQuery, Data Warehousing, Snowflake, Versus

If you have been looking to find an answer to this question: BigQuery vs Snowflake - Which data warehouse to choose, then you have landed at the right place.   We…

Snowflake vs Hadoop: 6 Critical Parameters

May 10th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake, Versus

Organizations from different domains are investing in big data analytics. They are analyzing large datasets to uncover hidden patterns, unknown correlations, market trends, customer experiences, and other useful business information.…

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…

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…

Data Mart vs Data Warehouse: 7 Critical Differences

May 10th, 2024 By Talha in Data Warehousing, Versus

Data warehouses and Data marts are two confusing terms that come into any discussion about implementing a data platform. Getting to choose the right one, is about making the correct…

Amazon Redshift vs Oracle ADW: 9 Simple Key Differences

May 10th, 2024 By Anmol Baunthiyal in Data Warehousing, Redshift, Versus

Given that the world of Big Data often involves the world of Data Warehouses and dealing with massive datasets, it should come as no surprise that a modern Cloud Data…

AWS Aurora vs Snowflake: 5 Critical Differences

May 10th, 2024 By Manisha Jena in AWS, Data Strategy, Versus

Nowadays, with ever-increasing data, storage and analysis of large volumes of data have become basic foundations of any organization. While focusing on storage and analysis, which two concepts come to…

Google BigQuery vs Athena: 7 Critical Differences

May 10th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing, Versus

Today, every organization is moving to serverless cloud offerings to solve many data-related challenges. The primary issue these companies face occurs while trying to manage vast data repositories. In such…

Oracle Vs Teradata: 6 Critical Differences

May 10th, 2024 By Muskan Kesharwani in Data Strategy, Versus

In Today's data-driven modern world, competition between companies is prevalent when they offer similar products. In a competitive market, providing the best services and products and having the majority of…

Hive vs SQL: 5 Critical Differences

May 10th, 2024 By Amit Phaujdar in Database Management System, MySQL, Versus

Apache Hive is a Data Warehouse system that facilitates writing, reading, and manipulating large datasets residing across distributed storage using SQL. SQL (Structured Query Language) is a querying language that…

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…

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…

2 Easy Methods to Integrate Azure Postgres to BigQuery

May 3rd, 2024 By Shuchi Chitrakar in BigQuery, Data Integration, PostgreSQL

Easily move your data from Azure Postgres 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…

Azure Postgres to Databricks: 2 Extensive Data Migration Methods

May 3rd, 2024 By Saloni Agarwal in Data Integration, PostgreSQL

Easily move your data from Azure Postgres To Databricks 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…

Most Helpful Data Cleaning Tools in Python for 2025

May 3rd, 2024 By Riya Bothra in Data Strategy

The quality of your data analysis and the insights derived directly depends on the quality of the data you feed. This is why data cleaning is crucial in ensuring your…

What is Data Quality Management: Tips and Best Practices

May 3rd, 2024 By Riya Bothra in Data Strategy

Many organizations today heavily rely on data to make business-related decisions. Data is an invaluable asset that helps you substantiate your convictions with evidence and facilitates stakeholder buy-in. However, ensuring…