Google BigQuery vs. Funnel vs. Panoply

Compare software solutions

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, Funnel, 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.

Funnel is an ETL Tool Built for Marketers

Funnel is an ETL tool designed for marketers and data analysts at small businesses. The platform integrates with 500+ marketing and advertising data sources and transforms the collected data into automated marketing reports. Options for data visualization are very limited and the Funnel platform does not include the option to use SQL, so users will need to rely on third party platforms for these types of capabilities.

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, Funnel and Panoply features

Platform Features

Data storage

Cloud-based collection and retention of data.

Yes, and can push data to other destinations.

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 and app support plus free onboarding

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 ISO 27001, GDPR

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

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.

Funnel Connectors

Funnel offers native integrations with major BI tools and with 500+ data sources, including most ad platforms, analytics platforms, and social media channels. Users will find its many integrations essential as the platform does not include a SQL workbench and provides limited options for data visualization.

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.

Funnel Pricing

Funnel has a tiered pricing plan based on user’s ad spend. All tiers allow for unlimited users and data sources but data destinations are an additional cost. Many users find Funnel’s price point to be higher than that of comparable platforms.

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.