Snowflake is a data warehousing platform built with experienced data architects and data engineers in mind. Data is stored in the cloud for easy consumption and a SQL workbench and user permissions allow multiple users to query data. The Snowflake platform is efficient at handling many data types but may prove challenging to adopt for users without a heavy data background.
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.
Snowflake does not have built-in data integrations and relies on third party tools to ingest data. Navigating this extra barrier may be cumbersome and expensive, especially for users pulling in marketing and analytics data.
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.
Snowflake’s pricing is based on data consumption per second, so you only pay for the compute and storage you use. This pricing structure works well for experienced users who know their average data consumption but may hold unpleasant surprises for new users.
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.