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Amazon Redshift vs Firebolt comparison

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Amazon Web Services (AWS) Logo
Amazon Redshift
Read 61 Amazon Redshift reviews
7,785 views|5,798 comparisons
87% willing to recommend
Firebolt Logo
Firebolt
Read 1 Firebolt review
598 views|426 comparisons
100% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
Cloud Data Warehouse
April 2024
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: April 2024).
Download the complete report
771,212 professionals have used our research since 2012.
Featured Review
VictorSokolov
A powerful database system that works quickly with huge volumes of data
The fast querying of a huge amount of data greatly impacts our data workflows. All the queries work pretty fast.
Iqbal Hossain Raju
Can quickly query it to generate quick results
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed.""The most valuable feature of Amazon Redshift is its ability to handle really large sets of data.""Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features.""I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing.""The most valuable feature is its scalability.""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.""Amazon Redshift is a really powerful database system for reporting and data warehousing.""It allows you write complex queries and perform row by row processes."

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"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."

More Firebolt Pros →

Cons
"Sometimes, it's difficult to get the metadata from Redshift.""In our experiments, the handling of unstructured data was not very smooth.""Migrating data from other data sources can be challenging when you are working with multibyte character sets.""Amazon Redshift does not have the capability to dynamically increase the VM file.""There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity.""The OLAP slide and dice features need to be improved.""There are too many limitations with respect to concurrency.""Should be made available across zones, like other Multi-AZ solutions."

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

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Pricing and Cost Advice
  • "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."
  • "BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."
  • "One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
  • "Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
  • "It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
  • "The best part about this solution is the cost."
  • "The part that I like best is that you only pay for what you are using."

    • More Amazon Redshift Pricing and Cost Advice →

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    Questions from the Community
    How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
    Top Answer: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… more »
    What do you like most about Amazon Redshift?
    Top Answer: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.
    Read all 34 answers   →
    What is your experience regarding pricing and costs for Amazon Redshift?
    Top Answer:The product is quite expensive.
    Read all 24 answers   →
    What do you like most about Firebolt?
    Top Answer: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.
    What needs improvement with Firebolt?
    Top Answer: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.
    What advice do you have for others considering Firebolt?
    Top Answer: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 to… more »
    Ranking
    4th
    out of 18 in Cloud Data Warehouse
    Views
    7,785
    Comparisons
    5,798
    Reviews
    25
    Average Words per Review
    497
    Rating
    7.7
    14th
    out of 18 in Cloud Data Warehouse
    Views
    598
    Comparisons
    426
    Reviews
    1
    Average Words per Review
    554
    Rating
    9.0
    Comparisons
    Learn More
    Amazon Web Services (AWS)
    Firebolt
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    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
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Comms Service Provider14%
    Manufacturing Company10%
    Retailer10%
    VISITORS READING REVIEWS
    Educational Organization51%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    VISITORS READING REVIEWS
    Computer Software Company12%
    Healthcare Company10%
    Government7%
    Recreational Facilities/Services Company7%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise25%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise55%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    Buyer's Guide
    Cloud Data Warehouse
    April 2024
    Download Free Report
    Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: April 2024.
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    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 61 reviews while Firebolt is ranked 14th in Cloud Data Warehouse with 1 review. Amazon Redshift is rated 7.8, while Firebolt is rated 9.0. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Firebolt writes "Can quickly query it to generate quick results". Amazon Redshift is most compared with Teradata, Snowflake, AWS Lake Formation, Vertica and Microsoft Azure Synapse Analytics, whereas Firebolt is most compared with Snowflake, Microsoft Azure Synapse Analytics and Yellowbrick Cloud Data Warehouse.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.