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.
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.
Cloud-based collection and retention of data.
Pipelines that sync data between a source and a destination.
Automated structuring, cleaning, and standardization of raw data.
A tool that enables you to create SQL queries to analyze data.
How complicated the tool is to use.
How much and what types of support are provided.
Features that ensure data control and consistency.
Protocols that ensure data safety and adherence to industry standards; includes SOC 2, HIPAA, and GDPR.
Built-in integrations with top business intelligence tools.
Built-in integrations with top ETL tools.
Built-in integrations with cloud-based platforms that connect applications, systems, and technologies.
Ability to try the product prior to purchasing.
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.
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.
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.
Panoply offers both monthly and annual plans starting as low as $200 per month. Its pricing model is simple and transparent: users pay for the number of data sources they use and the amount of data they store. There are no extra fees for adding users or the number of queries run, so cost is more predictable than with pay-by-the-hour or pay-by-the-row models.