Amazon Redshift vs. Panoply
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About
Features
Connectors
Pricing
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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 Amazon Redshift and Panoply on key factors like price, ease of use, and compatibility so you can make an informed decision that fits your needs.
Redshift is a Data Warehousing Platform Designed for Data Engineers
Redshift is a cloud-based data warehouse designed for data scientists and data engineers. It includes built-in BI tools for data analysis and a SQL workbench allowing multiple users to query data. The Redshift platform is high-performing but lacks built-in integrations, forcing users to find third-party tools to pull in data. While experienced data engineers may be at home with this highly technical platform, it may prove unwieldy for users new to data analysis.
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 Amazon Redshift and Panoply features
Platform Features
Data storage
Cloud-based collection and retention of data.
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.
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.
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.
Data Source Connectors
Amazon Redshift Connectors
Redshift’s lack of native data connectors may be a significant drawback for many users. Without integrations, users must find third party tools to pull in data which will add additional time, expense, and learning curve.
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.
Pricing Structure
Amazon Redshift Pricing
Redshift has multiple, complicated pricing options based on data consumption per second, data storage, and compute capacity. Enterprise-level clients may ultimately find this pricing cost-effective, but new data users may find it challenging and time-consuming to determine which pricing option is right for them.
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.