Software Alternatives & Reviews

Panoply VS QuickBI

Compare Panoply VS QuickBI and see what are their differences

Panoply logo Panoply

Panoply is a smart cloud data warehouse

QuickBI logo QuickBI

Export data from over 300 sources to a data warehouse and analyze it with a reporting tool of your choice. Quick and easy setup.
  • Panoply Landing page
    Landing page //
    2023-09-27

Panoply is a smart data warehouse that automates all three key aspects of the data analytics stack: data collection & transformation (ETL), database storage management, and query performance optimization. Panoply empowers anyone working with data analytics to quickly gain actionable insights on their own - without the need of IT and Engineering.

Not present

Panoply videos

Panoply demo: Get faster data analytics in minutes!

QuickBI videos

Analytics | QuickBI Common Chart Analysis

Category Popularity

0-100% (relative to Panoply and QuickBI)
Data Management
55 55%
45% 45
Data Integration
49 49%
51% 51
Business Intelligence
46 46%
54% 54
ETL
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Panoply and QuickBI

Panoply Reviews

Top 14 ETL Tools for 2023
Panoply is an automated, self-service cloud data warehouse that aims to simplify the data integration process. Any data connector with a standard ODBC/JDBC connection, Postgres connection, or AWS Redshift connection is compatible with Panoply. In addition, users can connect Panoply with other ETL tools, such as Stitch and Fivetran, to further augment their data integration...
Top 5 BigQuery Alternatives: A Challenge of Complexity
Although Panoply was developed for data analysts, you don't have to be one to use it. Anyone with a good understanding of SQL can get a data pipeline up and running within a matter of minutes. This frees up your time to focus on analysis, whether you’re running queries directly in Panoply or in your favorite BI tool.
Source: blog.panoply.io
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Under the hood, Panoply uses a flexible ELT approach (rather than traditional ETL), which makes data ingestion much faster and more dynamic, since you don’t have to wait for transformation to complete before loading your data. And since Panoply builds managed cloud data warehouses for every user, you won’t need to set up a separate destination to store all the data you pull...
Source: blog.panoply.io
Top 7 ETL Tools for 2021
Panoply is an automated, self-service cloud data warehouse that aims to simplify the data integration process. Any data connector with a standard ODBC/JDBC connection, Postgres connection, or AWS Redshift connection is compatible with Panoply. In addition, users can connect Panoply with other ETL tools such as Stitch and Fivetran to further augment their data integration...
Source: www.xplenty.com

QuickBI Reviews

We have no reviews of QuickBI yet.
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Social recommendations and mentions

Based on our record, Panoply seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Panoply mentions (3)

QuickBI mentions (0)

We have not tracked any mentions of QuickBI yet. Tracking of QuickBI recommendations started around Feb 2024.

What are some alternatives?

When comparing Panoply and QuickBI, you can also consider the following products

Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

Airbyte - Replicate data in minutes with prebuilt & custom connectors

Snowflakepowe.red - Snowflake Computing is delivering a data warehouse for the cloud.

Mozart Data - The easiest way for teams to build a Modern Data Stack

Google BigQuery - A fully managed data warehouse for large-scale data analytics.