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 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.
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 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.
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 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.