Snowflake vs. Supermetrics vs. Panoply

Compare software solutions

If you’re like most businesses, data is everywhere, but syncing, storing, and accessing it is a challenge. An analytics stack is the answer, but deciding how to build one isn’t easy.

To help, we’ve compared Snowflake, Supermetrics, and Panoply on key factors like price, ease of use, and compatibility so you can make an informed decision that fits your needs.

Snowflake is a Data Warehousing Platform Designed for Data Architects

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.

Supermetrics is a Data Connector for Spreadsheets

Supermetrics is a data connector designed for marketers and small businesses. It allows users to extract marketing and analytics data and deliver it to platforms suited for reporting, visualization, or storage. The platform’s direct integration with Google Data Studio provides a simple solution for data visualization, though users may encounter a learning curve when choosing which dimensions and metrics to pull in, and without a built-in SQL workbench blending data may be difficult.

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.

Compare Snowflake, Supermetrics and Panoply features

Platform Features

Data storage

Cloud-based collection and retention of data.

Yes. Data stored in cloud.

No. Data is stored on connected platforms.

ETL

Pipelines that sync data between a source and a destination.

No. Requires third-party tools.

Data Transformation

Automated structuring, cleaning, and standardization of raw data.

No. Requires third-party tools.

SQL Workbench

A tool that enables you to create SQL queries to analyze data.

Technical Skill Required

How complicated the tool is to use.

Support

How much and what types of support are provided.

Provides email support

Provides email support.

Industry leading chat & live support

Data Governance

Features that ensure data control and consistency.

Security (HIPAA, SOC-2, GDPR)

Protocols that ensure data safety and adherence to industry standards; includes SOC 2, HIPAA, and GDPR.

Includes HIPAA, ISO 27001, PCI DSS, SOC 1 Type II, SOC 2 Type II

GDPR and CCPA compliant

HIPAA, SOC-2 & GDPR compliant

Compatible with BI tools

Built-in integrations with top business intelligence tools.

Compatible with ETL tools

Built-in integrations with top ETL tools.

Compatible with IPaaS

Built-in integrations with cloud-based platforms that connect applications, systems, and technologies.

Trial Availability

Ability to try the product prior to purchasing.

30-Day Free Trial with $400 of free usage

14-day free trial

Free 21-Day Proof of Value

Data Source Connectors

Snowflake Connectors

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.

Supermetrics Connectors

Supermetrics offers 60+ data connectors and is directly integrated with Google Sheets, Google Data Studio, Excel, and BigQuery. Users may find data brought into Google Data Studio for visualization purposes is not easy to transform, and blending data will also be difficult as Supermetrics lacks a SQL workbench.

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.

Try Panoply, no credit card required

Try Free

Pricing Structure

Snowflake Pricing

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.

Supermetrics Pricing

Supermetrics offers different pricing plans for connected platforms. Pricing is tiered and based on the number of users, data sources, and refreshes. Users must contact the Supermetrics Sales team to get pricing information for certain platforms where pricing is not listed.

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.