Google BigQuery vs. Supermetrics vs. Panoply

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About

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 Google BigQuery, Supermetrics, and Panoply on key factors like price, ease of use, and compatibility so you can make an informed decision that fits your needs.

BigQuery is a Data Warehousing Platform for Data Scientists

BigQuery is a cloud-based data warehouse built for data scientists and data engineers. The platform is highly scalable, able to store massive amounts of data, and integrates easily with Google Suite products. It includes a SQL workbench and allows multiple users to query data. New users may find that BigQuery’s expensive price tag, extremely technical learning curve, and lack of integrations to pull in data are a barrier to entry.

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 Google BigQuery, Supermetrics and Panoply features

Platform Features

Data storage

Cloud-based collection and retention of data.

No. Data is stored on connected platforms.

ETL

Pipelines that sync data between a source and a destination.

Data Transformation

Automated structuring, cleaning, and standardization of raw data.

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.

Enhanced support is available via support packages

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.

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.

First 10GB of data free

14-day free trial

Free 21-Day Proof of Value

Data Source Connectors

Google BigQuery Connectors

BigQuery integrates easily with Google Suite products such as Google Data Studio, but lacks native integrations to ingest data from other platforms. Users will need to rely on their technical savvy and third party tools to pull in data from non-Google sources.

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

Google BigQuery Pricing

Pricing for BigQuery is scalable but convoluted and includes many inputs, including charges for both active storage and long-term storage, and on-demand queries and flat-rate Queries. New users may find it difficult to estimate what their costs will be.

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.