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# Amazon Redshift vs Panoply Comparison - What are their main differences?

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Pricing

**Amazon Redshift**
Free Trial

**$1.22 - $3.26** Per hour · RA3.4xlarge

**$8.61 - $13.04** Per hour · RA3.16xlarge

**$0.094 - $0.25** Per hour · dc2.large

**$1.50 - $4.80** Per hour · dc2.8xlarge

**$0.213 - $0.85** Per Hour · ds2.xlarge

**$1.50 - $6.80** Per Hour · ds2.8xlarge

Show more

**Panoply**
Free Trial

**Free Trial** · Proof of Value

**Starting at $199.00** Per Month · Starter

**Starting at $499.00** Per Month · Lite

**Starting at $1,199.00** Per Month · Premium

**Starting at $799.00** Per Month · Standard

Show more

**Pricing Insights**
from reviews

Perceived Cost

**Amazon Redshift**
$$$$$

**Panoply**
$$$$$

Average Discount

**Amazon Redshift**
17%

**Panoply**
Not enough reviews yet

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Time to Implement

**Amazon Redshift** 6 months
Based on 100 responses

**Panoply** 6 months
Based on 100 responses

Return on Investment

**Amazon Redshift** 6 months
Based on 100 responses

**Panoply** 6 months
Based on 100 responses

**Pros & Cons**
from reviews

**Amazon Redshift**
[
Ease of Use (7)
](https://www.g2.com/products/amazon-redshift/reviews?filters%5Bsentiment_snippet%5D=1397789&qs=pros-and-cons#reviews)[
Integrations (7)
](https://www.g2.com/products/amazon-redshift/reviews?filters%5Bsentiment_snippet%5D=1396714&qs=pros-and-cons#reviews)[
Complexity (5)
](https://www.g2.com/products/amazon-redshift/reviews?filters%5Bsentiment_snippet%5D=1397335&qs=pros-and-cons#reviews)[
Feature Limitations (5)
](https://www.g2.com/products/amazon-redshift/reviews?filters%5Bsentiment_snippet%5D=1396004&qs=pros-and-cons#reviews)

**Panoply**
[
Customer Support (1)
](https://www.g2.com/products/panoply/reviews?filters%5Bsentiment_snippet%5D=2502922&qs=pros-and-cons#reviews)[
Ease of Use (1)
](https://www.g2.com/products/panoply/reviews?filters%5Bsentiment_snippet%5D=2502928&qs=pros-and-cons#reviews)[
Limited Features (1)
](https://www.g2.com/products/panoply/reviews?filters%5Bsentiment_snippet%5D=2502924&qs=pros-and-cons#reviews)

Integrations

**Amazon Redshift**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/aws-glue.jpg "Product Avatar Image")

AWS Glue

](https://www.g2.com/products/aws-glue/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_de2aec2900c83942b05e5256568f5444/fivetran.jpg "Product Avatar Image")

Fivetran

](https://www.g2.com/products/fivetran/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_c9a6da64ae8882af99b80f6b94123d88/informatica-data-engineering.jpg "Product Avatar Image")

Informatica Data Engineering

](https://www.g2.com/products/informatica-data-engineering/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_948c2ad423d39bd4e10fb09ac335bd47/informatica-data-integration-and-engineering.jpg "Product Avatar Image")

Informatica Data Integration and Engineering

](https://www.g2.com/products/informatica-data-integration-and-engineering/reviews)[
View all
](https://www.g2.com/products/amazon-redshift/integrations)

**Panoply**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d6b6650425eafc5c72f230cad744ad29/adobe-marketo-engage.png "Product Avatar Image")

Adobe Marketo Engage

](https://www.g2.com/products/adobe-marketo-engage/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_3d8a73f469261c6614cb56ce5698db3f/adroll.png "Product Avatar Image")

AdRoll

](https://www.g2.com/products/adroll/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_baf1cdd1a031123754018cf632efad7c/airbrake.png "Product Avatar Image")

Airbrake

](https://www.g2.com/products/airbrake/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-cloudsearch.jpg "Product Avatar Image")

Amazon CloudSearch

](https://www.g2.com/products/amazon-cloudsearch/reviews)[
View all
](https://www.g2.com/products/panoply/integrations)

Screenshots

**Amazon Redshift**
 ![Amazon Redshift screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/92020/Screenshot6.png)

**Panoply**
 ![Panoply screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/75311/Data-Sources-Page.png)

**Ratings**
from reviews

Meets Requirements

**Amazon Redshift**

**8.7** /10

Based on 296 responses

**Panoply**

**8.8** /10

Based on 63 responses

Ease of Use

**Amazon Redshift**

**8.7** /10

Based on 296 responses

**Panoply**

**8.9** /10

Based on 65 responses

Ease of Setup

**Amazon Redshift**

**8.6** /10

Based on 152 responses

**Panoply**

**9.4** /10

Based on 41 responses

Ease of Admin

**Amazon Redshift**

**8.4** /10

Based on 135 responses

**Panoply**

**9.3** /10

Based on 37 responses

Quality of Support

**Amazon Redshift**

**8.5** /10

Based on 279 responses

**Panoply**

**9.3** /10

Based on 63 responses

Has the product been a good partner in doing business?

**Amazon Redshift**

**8.7** /10

Based on 134 responses

**Panoply**

**9.5** /10

Based on 39 responses

Product Direction (% positive)

**Amazon Redshift**

**8.9** /10

Based on 265 responses

**Panoply**

**8.0** /10

Based on 59 responses

**Features**
ratings from reviews

Data Warehouse

**8.5** /10

Based on 162 responses

**7.7** /10

Based on 25 responses

ETL Tools

Not enough data

**8.8** /10

Based on 16 responses

Columnar Databases

**8.3** /10

Based on 63 responses

Not enough data

User Insights

**Reviewers' Company Size**

Small-Business(50 or fewer emp.)
20.8%

Mid-Market(51-1000 emp.)
40.5%

Enterprise(\> 1000 emp.)
38.7%

Small-Business(50 or fewer emp.)
20.8%

Mid-Market(51-1000 emp.)
40.5%

Enterprise(\> 1000 emp.)
38.7%

Small-Business(50 or fewer emp.)
46.8%

Mid-Market(51-1000 emp.)
44.3%

Enterprise(\> 1000 emp.)
8.9%

Small-Business(50 or fewer emp.)
46.8%

Mid-Market(51-1000 emp.)
44.3%

Enterprise(\> 1000 emp.)
8.9%

**Reviewers' Industry**

[![Amazon Redshift](https://images.g2crowd.com/uploads/product/hd_favicon/1528476479/amazon-redshift.svg "Amazon Redshift")](https://www.g2.com/products/amazon-redshift/reviews)
Amazon Redshift

Information Technology and Services
14.9%

Computer Software
12.2%

Financial Services
7.4%

Retail
5.3%

Marketing and Advertising
4.8%

Other
55.4%

[![Panoply](https://images.g2crowd.com/uploads/product/hd_favicon/84b52122860311ab476d8ad7f5a8ed1e/panoply.svg "Panoply")](https://www.g2.com/products/panoply/reviews)
Panoply

Information Technology and Services
8.9%

Marketing and Advertising
7.6%

Computer Software
7.6%

Apparel & Fashion
6.3%

Retail
5.1%

Other
64.6%

Alternatives

**Amazon Redshift Alternatives**

 ![Google Cloud BigQuery](https://images.g2crowd.com/uploads/product/hd_favicon/875b8a68eca98ce3458f26e9dd34cdf9/google-cloud-bigquery.svg "Google Cloud BigQuery")

[
BigQuery
](/products/google-cloud-bigquery/reviews)

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

[
Snowflake
](/products/snowflake/reviews)

 ![Cloudera](https://images.g2crowd.com/uploads/product/hd_favicon/dcfb9e6879febb34cef773ddde921835/cloudera.svg "Cloudera")

[
Cloudera
](/products/cloudera/reviews)

 ![Rocket Vertica](https://images.g2crowd.com/uploads/product/hd_favicon/0e27517827bbb573fb7f07523fb524b7/rocket-vertica.svg "Rocket Vertica")

[
Rocket Vertica
](/products/rocket-vertica/reviews)

**Panoply Alternatives**

 ![Google Cloud BigQuery](https://images.g2crowd.com/uploads/product/hd_favicon/875b8a68eca98ce3458f26e9dd34cdf9/google-cloud-bigquery.svg "Google Cloud BigQuery")

[
BigQuery
](/products/google-cloud-bigquery/reviews)

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

[
Snowflake
](/products/snowflake/reviews)

 ![Fivetran](https://images.g2crowd.com/uploads/product/hd_favicon/1526948884/fivetran.svg "Fivetran")

[
Fivetran
](/products/fivetran/reviews)

 ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks")

[
Databricks
](/products/databricks/reviews)

## Amazon Redshift vs Panoply FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between Amazon Redshift vs Panoply?

Panoply stands out for higher reviewer satisfaction on setup and support, while Amazon Redshift is favored for its integration with AWS and large-scale performance.

| [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) | [Panoply](https://www.g2.com/products/panoply/reviews) |
| --- | --- |
| 4.3/5 (404 reviews) | 4.5/5 (83 reviews) |
| Mid-Market | Small-Business |
| 8.6 | 9.4 |
| 8.5 | 9.3 |
| Integration with AWS ecosystem | Customer support and ease of use |

### How do the pricing models of Amazon Redshift and Panoply compare?

Panoply is rated higher for price satisfaction, with reviewers citing its competitive value for small businesses, while Amazon Redshift receives mixed feedback on pricing complexity and cost at scale.

- **Amazon Redshift:** Reviewers note flexible pay-as-you-go pricing but mention complexity and higher costs for small businesses or large-scale usage.
- **Panoply:** Reviewers highlight Panoply's competitive pricing and flat-rate structure as a strong value, especially for small and mid-sized companies, though some mention recent price increases.
- **Switching reasons:** Several reviewers mention switching to Panoply for its lower total cost of ownership and reduced need for in-house data engineering resources.

### What are the best alternatives to Amazon Redshift and Panoply?

The top three alternatives to Amazon Redshift and Panoply are BigQuery, Snowflake, and Rocket Vertica.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) | 4.3/5 (404 reviews) | Mid-Market | Flexible pay-as-you-go, but can be complex and costly at scale | Integration with AWS ecosystem |
| [Panoply](https://www.g2.com/products/panoply/reviews) | 4.5/5 (83 reviews) | Small-Business | Competitive flat-rate pricing, strong value for small teams | Customer support and ease of use |
| [BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5 (1224 reviews) | Enterprise | — | Scalability and performance for large datasets |
| [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5 (763 reviews) | Mid-Market | — | Separation of storage and compute, ease of scaling |
| [Rocket Vertica](https://www.g2.com/products/rocket-vertica/reviews) | 4.3/5 (216 reviews) | Enterprise | — | High-performance analytics |

### Which Data Warehouse features should I prioritize when comparing Amazon Redshift and Panoply?

Buyers should prioritize ease of setup, quality of support, integrations, scalability, and cost-effectiveness when comparing Amazon Redshift and Panoply.

- **Ease of Setup:** Amazon Redshift scores 8.6, Panoply 9.4, indicating Panoply is favored for quick and simple implementation.
- **Quality of Support:** Amazon Redshift scores 8.5, Panoply 9.3, with Panoply reviewers consistently praising responsive and helpful support.
- **Integrations:** Amazon Redshift has 5 all-time mentions for integrations, Panoply is cited for ease of connecting to multiple sources and Looker integration.
- **Scalability:** Amazon Redshift has 4 all-time mentions for scalability, with reviewers highlighting its ability to handle large datasets and enterprise workloads.
- **Cost-Effectiveness:** Amazon Redshift has 2 all-time mentions for cost-effectiveness, while Panoply is frequently cited for competitive pricing and value for small businesses.

### What are the pros and cons of Amazon Redshift vs Panoply?

Amazon Redshift's headline strength is AWS ecosystem integration and scalability, while Panoply's is ease of use and customer support.

- **Amazon Redshift strengths:** Fast querying (5 all-time mentions), integrations (5), ease of use (4), performance (4), scalability (4), large datasets (3), cost-effectiveness (2), customer support (2).
- **Amazon Redshift trade-offs:** Feature limitations (4), software limitations (4), complexity (3), query issues (3), query optimization challenges (3), difficult management (2).
- **Panoply strengths:** Customer support (1), ease of use (1), integrations (1), praised for quick setup and minimal need for technical expertise.
- **Panoply trade-offs:** Limited features (1), some reviewers mention higher pricing in recent periods and desire for more advanced analytics or dashboarding features.

### Is Amazon Redshift or Panoply better for small businesses?

Panoply is the better fit for small businesses, with the largest reviewer segment and strong satisfaction among small-business users.

- **Amazon Redshift:** Largest segment is Mid-Market; reviewers from small businesses note higher costs and complexity for smaller teams.
- **Panoply:** Largest segment is Small-Business; reviewers consistently highlight ease of use, responsive support, and value for organizations without dedicated technical staff.

### Which Data Warehouse platform has better integrations?

Amazon Redshift is favored for integrations, with more reviewer-cited mentions and broader ecosystem compatibility.

- **Amazon Redshift:** Integrations cited in 5 all-time mentions, including strong compatibility with AWS services and BI/reporting tools.
- **Panoply:** Reviewers mention integration with Looker and ease of connecting to multiple data sources, with qualitative praise for its connector library.

### How do Amazon Redshift and Panoply compare on customer support?

Panoply leads Amazon Redshift on Quality of Support by 0.8 points, a material difference in reviewer satisfaction.

- **Amazon Redshift:** Reviewers describe support as generally reliable, though some note variability and slower response times for complex issues.
- **Panoply:** Reviewers consistently praise Panoply's support team for responsiveness, hands-on assistance, and proactive problem-solving, with many citing support as a key differentiator.

### Which is easier to implement, Amazon Redshift or Panoply?

Panoply is rated higher for Ease of Setup by 0.8 points, with reviewers highlighting its quick and straightforward implementation.

- **Amazon Redshift:** Reviewers note that setup is generally user-friendly but can become complex for those new to AWS or managing large-scale deployments.
- **Panoply:** Reviewers consistently report fast, easy setup with minimal technical expertise required, often implemented in a single day or a few hours.

### Which product has better Cloud?

Cloud is the most frequently mentioned feature across both Amazon Redshift and Panoply.

- **Amazon Redshift:** Reviewers highlight its cloud-native architecture, integration with AWS cloud services, and scalability for large data workloads.
- **Panoply:** Reviewers cite its cloud-based setup, ease of scaling, and ability to manage data warehousing without on-premises infrastructure.

## Amazon Redshift vs Panoply

When assessing the two solutions, reviewers found Panoply easier to use, set up, and administer. Reviewers also preferred doing business with Panoply overall.

- Reviewers felt that Panoply meets the needs of their business better than Amazon Redshift.
- When comparing quality of ongoing product support, reviewers felt that Panoply is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Amazon Redshift over Panoply.