Popular Articles

How to Load Data From Oracle to MariaDB in 2 Easy Steps?

April 13th, 2023 By Saket Mittal, Monica Patel in Data Integration

Quick Takeaway To migrate data from Oracle to MariaDB, you can use MariaDB MaxScale and MariaDB Enterprise Server, which ensures compatibility by facilitating the migration of PL/SQL code and providing…

PostgreSQL to Oracle Migration: Step-by-Step Guide (2026)

June 7th, 2022 By Amit Phaujdar in Data Integration, PostgreSQL

KEY TAKEAWAY Migrating from PostgreSQL to Oracle helps organizations unlock Oracle’s enterprise-grade performance, scalability, and advanced analytics. Here are the steps: Step 1: Export PostgreSQL Data to CSV Use the…

Top 11 Fivetran Alternatives & Competitors in 2026 (Free & Paid)

April 23rd, 2025 By Chirag Agarwal in Platform, Product

Key Takeaways Choosing from Fivetran alternatives depends on your budget, data volume, and engineering capacity. Here is a quick breakdown by use case: Top Managed Cloud Alternatives: Hevo is best…

9 Best DynamoDB ETL Tools for 2025

August 5th, 2021 By Pratik Dwivedi in Data Integration, ETL

Data is only as useful as the way you collect, move, and transform it. If your ETL processes cannot keep up, then even your best data is of no use.…

Google Cloud Rest API Integration: 2 Easy Methods

October 19th, 2021 By Ofem Eteng in Data Strategy, Rest API

Cloud storage has become an important part of data today as it makes it easier for users and analysts to store and access their data in the Cloud at any…

Power BI Databricks Integration: 2 Easy Steps

November 15th, 2021 By Rakesh Tiwari in Data Integration, PowerBI

Do you want to analyze your Databricks data in Power BI? Is it true that you are finding it challenging to set up the Power BI Databricks Integration? Assuming indeed,…

Airtable Rest API Integration: 4 Easy Steps

November 11th, 2021 By Muskan Kesharwani, Samuel Salimon in Data Integration

Airtable provides a visual dashboard for creating new tables, editing existing ones, and connecting to external databases. It also has powerful filters and macros built-in. It offers a simple interface…

How to Schedule Airflow Jobs? Comprehensive Guide

April 23rd, 2025 By Arsalan Mohammed in Data Strategy

Apache airflow is a popular workflow management tool that provides functionalities like organizing, scheduling, and generating workflows. Apache Airflow is an open-source tool that makes it free to use. Open…

Setting Up Kinesis S3 Integration: 4 Easy Steps

February 10th, 2021 By Amit Phaujdar in Data Integration

This article is going to describe the process of setting up Amazon Kinesis S3 Integration; where Amazon Kinesis is a service that can stream data to Amazon S3 from numerous…

What Is Data Integration: Key Concepts, Types & Best Practices

September 23rd, 2021 By Amit Phaujdar in Data Integration

The availability of complete and high-quality data holds the power to positively impact any organization's decision-making process. However, data remains siloed away in multiple locations for many businesses worldwide. Applying…

Google BigQuery Numeric: 4 Key Types Simplified

January 7th, 2022 By Nicholas Samuel in BigQuery, Data Warehousing

To use Google BigQuery, you will need to move your data from different data sources into your BigQuery Data Warehouse. This will mean that mapping data to the correct data…

What is BigQuery Sandbox?: A Comprehensive Guide 101

January 19th, 2022 By Nicholas Samuel in BigQuery, Data Warehousing

Google BigQuery is a Serverless Cloud Data Warehouse Solution offered by Google. BigQuery is easy to use as you can gain insights from your data using standard SQL queries. Today,…

11 Best Airbyte Alternatives & Similar Tools for 2026

July 21st, 2022 By Sarad Mohanan in Data Strategy

Key Takeaway Here are the top Airbyte alternatives by category to consider: 1. Fully Managed SaaS (Easiest to Use) Hevo: No-code, real-time data pipeline platform with transparent pricing, fault-tolerant pipelines,…

How does Redshift Schedule Query Work: Easy Explanation

March 11th, 2022 By Ofem Eteng in Data Warehousing, Redshift

Automating tasks in data analysis can save time and improve productivity, especially when managing routine operations. With Amazon Redshift’s Data API and EventBridge, Redshift Schedule Query becomes straightforward, helping you…

Snowflake SQLAlchemy Toolkit with Python Connector Simplified

September 21st, 2021 By Isola Saheed Ganiyu in Data Integration, MySQL, Snowflake

Snowflake is fast becoming one of the most used Data Warehouses in the field of Data Analytics. With that said, you’ll need to install the Snowflake SQLAlchemy Toolkit on your…

Azure Synapse vs Azure SQL DB: 6 Key Differences

April 27th, 2023 By Amulya Reddy in Database Management System

Are you struggling to manage and analyze your data effectively? This is where cloud-based data storage solutions like Azure Synapse Analytics and Azure SQL Database come into play. These platforms…

MongoDB Logs: Basics, What to Monitor, & Tools to Analyze

July 17th, 2022 By Sageena P Kunju in Database Management System, MongoDB

MongoDB is a popular NoSQL database that is document-oriented and cross-platform. Unlike relational databases like MySQL, MongoDB stores data in JSON-like documents with optional schemas, allowing data storage and usage…

10 Best Open Source ETL Tools in 2026

May 31st, 2024 By Sourabh Agarwal in Data Integration, ETL

Key Takeaways Here are the 10 best open-source ETL tools: 1. dbt (Data Build Tool): Best for SQL-based data transformation and analytics engineering workflows2. Airbyte: Best for open-source data integration…

Load Data from Salesforce to Data Warehouse: Step by Step Guide

June 16th, 2020 By Rashid Y in Data Integration

Looking to move your data easily from Salesforce to data warehouse? We have you covered. This guide will take you through the steps involved in Salesforce integration to data warehouse.…

Migrate Databases From IBM Db2 to SQL Server in 8 Easy Steps

May 30th, 2023 By Divyansh Sharma in Data Integration, SQL Server

Key Takeaways Manually migrating data from DB2 to SQL Server involves extracting data from DB2 using queries, transforming it into a compatible format, and loading it into SQL Server tables.…