Amazon Redshift vs Firebolt comparison

Amazon Web Services (AWS) and Firebolt are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #4 with an average rating of 7.7, while Firebolt is ranked #14 with an average rating of 9.0. Amazon Web Services (AWS) holds a 7.7% mindshare in CDW, compared to Firebolt’s 0.6% mindshare. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Firebolt users who would recommend it.

Amazon Redshift

Read 66 Amazon Redshift reviews

6,278 Views
4,381 Comparison Views

85% willing to recommend

Firebolt

Read 1 Firebolt review

365 Views
234 Comparison Views

100% willing to recommend

Amazon Redshift

Firebolt

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Executive Summary

We performed a comparison between Amazon Redshift and Firebolt based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: October 2024).

Buyer's Guide

Cloud Data Warehouse

October 2024

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Categories and Ranking

Amazon Redshift

Ranking in Cloud Data Warehouse

4th

Average Rating

7.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Firebolt

Ranking in Cloud Data Warehouse

14th

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.7%, down from 11.9% compared to the previous year. The mindshare of Firebolt is 0.6%, down from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Works as a data warehouse system and collects data from different sources

In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic. We often encounter issues like someone dropping a column or changing the order of columns, which can cause synchronization problems when pushing data through our pipeline. It's a minor issue, but it can be annoying.

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Iqbal Hossain Raju

Junior Software Engineer at IQVIA

Can quickly query it to generate quick results

We have used Snowflake before. We support both. Firebolt has better performance, executing queries much quicker than Snowflake. However, Snowflake has more functionality. Depending on the client's needs, we can recommend the best option. Firebolt is a relatively new technology. Snowflake has many functionalities. Firebolt does not support unloading data to S3. There is no built-in way to do this in Firebolt. Alternatively, the data can be retrieved using API calls and loaded to S3 manually. Data can be unloaded to S3 directly using Snowflake. Firebolt significantly improves our performance over Snowflake because it takes less time to execute queries. This is especially important for our company because we use some KPIs that require fast loading times.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."

"In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes."

"The most valuable feature is its scalability."

"The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."

"Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift."

"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."

"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."

"Has a very user-friendly SQL editor and it's very easy to use the connectors."

More Amazon Redshift pros

"Firebolt is fast for analytical purposes. For example, we have analytical data in our data warehouse, and Firebolt can quickly query it to generate quick results."

Cons

"AWS Snowflake has a very good feature for cloning databases. It makes it easy to clone a data warehouse, which is useful. I would like to see this feature in Redshift."

"One area where Amazon Redshift could improve is in adopting the compute-separate, data-separate architecture, which Delta, Snowflake are adopting, and a few others in the cloud data warehouse spectrum."

"Amazon Redshift is a little more expensive than other products."

"Sometimes, it's difficult to get the metadata from Redshift."

"It is difficult to work with unstructured data and JSON documents."

"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."

"We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing. There is room for improvement in this area. We are in talks with AWS regarding the connection issues."

"In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage."

More Amazon Redshift cons

"Firebolt's engine takes a long time to start because it needs to make engine calls."

Pricing and Cost Advice

"The best part about this solution is the cost."

"Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."

"It's pay per use. You can have multiple models."

"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."

"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."

"Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."

"If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."

"The product is quite expensive."

More Amazon Redshift pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Educational Organization

60%

Financial Services Firm

Computer Software Company

Manufacturing Company

Healthcare Company

16%

Computer Software Company

13%

University

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

See all answers

What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

See all answers

What is your experience regarding pricing and costs for Amazon Redshift?

You can start small with a basic cluster to learn and practice with it. Selecting the most basic and economical cluster type can save you enough money to move forward with the solution or go with a...

See all answers

What do you like most about Firebolt?

Firebolt is fast for analytical purposes. For example, we have analytical data in our data warehouse, and Firebolt can quickly query it to generate quick results.

See all answers

What needs improvement with Firebolt?

Firebolt's engine takes a long time to start because it needs to make engine calls. Currently, the data size of Firebolt is small. It can be increased.

See all answers

What advice do you have for others considering Firebolt?

One way to retrieve data from firewalls is to add query parameters to the connection string. For example, you can use the REST API to retrieve the security query. Some firewalls have been deployed ...

See all answers

Comparisons

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Oracle Exadata vs Amazon Redshift

Compared 11% of the time

Snowflake vs Amazon Redshift

Compared 11% of the time

Vertica vs Amazon Redshift

Compared 10% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 9% of the time

More Amazon Redshift Competitors

Snowflake vs Firebolt

Compared 100% of the time

More Firebolt Competitors

Product Reports

Buyer's Guide

Amazon Redshift

November 2024

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Buyer's Guide

Cloud Data Warehouse

October 2024

Download Firebolt product report

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Amazon Web Services (AWS)

Video not available

Firebolt

Overview

What is Amazon Redshift?

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Firebolt is a cloud-native data warehouse that enables organizations to process massive amounts of data at lightning-fast speeds. This is achieved through its unique architecture that utilizes a cloud-native approach, allowing for elastic scaling and parallel processing.

Firebolt helps organizations with a scalable and cost-effective solution for their data warehousing needs. It eliminates the need for expensive hardware and maintenance costs associated with traditional data warehouses. Firebolt's real-time analytics capabilities also enable businesses to make data-driven decisions quickly, giving them a competitive edge in their respective industries.

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

Information Not Available

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: October 2024.

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