We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."
"The part that I like best is that you only pay for what you are using."
"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."
"My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD."
Earn 20 points
Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.
Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.
Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.
As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.
Elevate your data lake
Leverage your data lake and the infinite scale of S3. Firebolt works with data in common file formats (Parquet, Avro, ORC…) in your data lake, and makes it easily ready for performant querying.
Decoupled storage & compute
Firebolt was designed to decouple storage & compute, allowing for granular elasticity and seamless scaling up/down of compute nodes in a shared-nothing architecture, while relying on shared S3 storage.
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 12 reviews while Firebolt is ranked 12th in Cloud Data Warehouse. Amazon Redshift is rated 7.6, while Firebolt is rated 0.0. The top reviewer of Amazon Redshift writes "Scales according to our needs, which saves a lot in terms of upfront costs". On the other hand, Amazon Redshift is most compared with Snowflake, Microsoft Azure Synapse Analytics, Oracle Exadata, Teradata and SAP Business Warehouse, whereas Firebolt is most compared with Snowflake, Microsoft Azure Synapse Analytics, Yellowbrick Cloud Data Warehouse, Vertica and Teradata 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.