Fivetran vs. Amazon Redshift vs. Panoply

Fivetran is an ETL Tool Designed for Data Analysts

Fivetran is a cloud-based ETL tool best suited for data engineers and data analysts. Its many integrations help users quickly push data to a BI tool or data warehouse, but the UI may be clunky for new data users and it lacks a SQL workbench. Users will need to transfer data to the BigQuery data warehouse in order to query their data and create reports as Fivetran does not provide the ability to work with data directly in its platform.

Redshift is a Data Warehousing Platform Designed for Data Engineers

Redshift is a cloud-based data warehouse designed for data scientists and data engineers. It includes built-in BI tools for data analysis and a SQL workbench allowing multiple users to query data. The Redshift platform is high-performing but lacks built-in integrations, forcing users to find third-party tools to pull in data. While experienced data engineers may be at home with this highly technical platform, it may prove unwieldy for users new to data analysis.

Panoply is a Data Warehouse + ETL Platform for Analysts

Panoply is the easiest way to sync, store, and access all your business data. The platform combines a powerful data warehouse with code-free ETL, which results in quick and easy setup and minimal upkeep. Users can query data directly in Panoply or connect their preferred analytical notebook or BI tool.

Data Source Connectors

Fivetran Connectors

Fivetran offers 150+ integrations with data sources, allowing users to extract data quickly and efficiently. Users will also need to utilize integrations to query data and create reports as Fivetran lacks a SQL workbench and the ability to work with data within the app.

Amazon Redshift Connectors

Redshift’s lack of native data connectors may be a significant drawback for many users. Without integrations, users must find third party tools to pull in data which will add additional time, expense, and learning curve.

Panoply Connectors

Panoply provides built-in ETL integrations with dozens of data sources, including popular cloud APIs, databases, CRMs, advertising platforms, and file storage systems. Users can also pipe data in through partners like Stitch or Fivetran or pull in data via an S3 bucket. Once data is synced, users can query it via Panoply’s workbench or connect their favorite BI tool.

Pricing Structure

Fivetran Pricing

Fivetran offers a complicated pricing model based on data consumption. Pricing tiers are based on “credits” and users will need to calculate their data “rows at rest”, “rows updated,” and “monthly active rows.” Both experienced and new users may struggle to navigate this convoluted pricing model.

Amazon Redshift Pricing

Redshift has multiple, complicated pricing options based on data consumption per second, data storage, and compute capacity. Enterprise-level clients may ultimately find this pricing cost-effective, but new data users may find it challenging and time-consuming to determine which pricing option is right for them.

Panoply Pricing

Panoply offers both monthly and annual plans starting as low as $299 per month. Its pricing model is simple and transparent, based on how many query bytes users need.  There are no extra fees for adding users or the number data connectors used so cost is more predictable than with pay-by-the-hour or pay-by-the-row models.

Get Started

Get started with Panoply by beginning a free trial. Try all of Panoply’s features free for 21 days, no credit card required or strings attached. Or to learn more about Panoply, request a custom demo.