Pingdom to Snowflake – Made Easy

Posted By: editor
Posted On: 13 Jul, 2021

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As your business grows, you start having a deluge of data on traditional databases and your queries start taking a lot of time. Hence, you start looking for a warehousing solution that can store your data in an organized manner and can make it readily accessible for reporting and analytics.  Now if you are using Pingdom you may want to deeply analyze this data or store this data for future analysis. This can be a long and expensive affair without the right warehousing solution for data storage. Replicate Pingdom to Snowflake to optimize your website performance. Integrate this data with analytics, engagement, customer support, billing, and sales data to estimate your true ROI.

In this article, we will help you explore the basic overview of Pingdom and Snowflake and the importance of establishing Pingdom Snowflake integration for a business. Also, we will walk you through two approaches to integrate Pingdom to Snowflake as well as the advantages and disadvantages of both processes. So let’s check out.

Why integrate Pingdom into Snowflake?

Pingdom is a website and performance monitoring company dedicated to making the web faster and more reliable. Pingdom provides robust statistics allowing users to perform insightful analysis but getting granular insights from this data and comparing it with other data sources becomes crucial. Integrate your Pingdom data to Snowflake without compromising performance and data. With Snowflake as a data warehousing solution, it’s possible to analyze and optimize Pingdom insights easily and quickly together with data from other platforms, making analysis, reporting, and performance audit simpler.

Pingdom Overview

Pingdom is a website monitoring service that tracks the uptime, downtime, and performance of websites, ensuring you’re the first to know when a problem occurs. It delivers powerful web performance monitoring features for anyone with an online presence. It provides real user monitoring (RUM), enabling a deeper and wider understanding of the user’s digital experience, and web application availability and performance. Pingdom is perfect for digital marketers, web hosting providers, web developers, and IT/web ops.

Snowflake Overview

Snowflake is a modern, fully-managed cloud data warehouse built on top of the Amazon Web Services or Microsoft Azure cloud infrastructure and is available as a true SaaS offering. There is no hardware or software for you to select, install, configure, or manage with Snowflake. It uses a new SQL database engine with a unique architecture designed for the cloud. Snowflake offers far better performance, scalability, resiliency, and workload concurrency than any other cloud-based data warehouse in the market. It is capable of solving problems that legacy and on-premise data platforms were not designed to solve. 

How to replicate Pingdom to Snowflake?

Here’s an overview of the two approaches you can use to replicate Pingdom data to Snowflake. This will allow you to evaluate the pros and cons of both and choose the one that best suits your requirement.

Build your own data pipeline

This process needs a lot of experience and consumes a lot of time and manpower. The chances of errors are more due to multiple integrated steps to be executed one after the other. You need to extract data using Pingdom APIs & then connect it properly with the Snowflake data warehouse. This whole process to build a custom data pipeline requires regular intervention that makes it cumbersome. 

Use Daton to integrate Pingdom and Snowflake

Integrating Pingdom and Snowflake with Daton is the fastest & easiest way to save your time and effort. Leveraging a cloud data pipeline like Daton significantly simplifies and accelerates the time it takes to build automated reporting. 

Configuring data replication on Daton only takes a few minutes and a few clicks. Your analysts do not have to write any code or manage any infrastructure, yet you can get access to Pingdom data in a few hours. 

Daton’s simple and easy-to-use interface allows analysts and developers to use UI elements to configure data replication from Pingdom data into Snowflake.  

Daton takes care of: 

  • Authentication 
  • Rate limits
  • Sampling
  • Historical data load
  • Incremental data load
  • Table creation, deletion, and reloads
  • Refreshing access tokens
  • Notifications 

and many more important functions for data analysts to focus on analysis rather than worrying about the data replication.


Steps to integrate Pingdom with Daton

  • Sign in to Daton  
  • Select Pingdom from the integrations page 
  • Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later  
  • You will be redirected to Pingdom login for authorizing Daton to extract data periodically 
  • Post successful authentication, you will be prompted to choose from the list of available Pingdom accounts 
  • Select required tables from the available list of tables 
  • Then select all required fields for each table 
  • Submit the integration 

Sign up for a trial of Daton today!

Here are more reasons to explore Daton for Pingdom to Snowflake Integration

  • Faster integration – Pingdom to Snowflake is one of the integrations Daton can handle very conveniently and seamlessly. By following a few steps you can easily connect Pingdom to Snowflake.  
  • Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. No need to manage infrastructure or write manual code.
  • Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus on analysis and insights! 
  • Enterprise-grade data pipeline at an unbeatable price to help every business become data-driven. Get started with a single integration today for just $10 and scale up as your data needs grow. 
  • Robust Scheduling Options: This allows you to schedule jobs based on their requirements using a simple configuration step. 
  • Support for all major cloud data warehouses including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL, and more. 
  • Flexible loading options allow you to optimize data loading behavior to maximize storage utilization and ease of querying. 
  • Enterprise-grade encryption gives your peace of mind 
  • Support for 100+ data sources – In addition to Pingdom, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms, and much more. 

Daton eliminates the time spent by your engineers building data pipelines manually and makes Pingdom data instantly accessible to analysts by providing near real-time access to your data.

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