Most Helpful Review
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"It allows you write complex queries and perform row by row processes."
"It allows for the storage of huge amounts of data."
"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."
"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."
"The initial setup of this solution is straightforward."
"The product is relatively easy to use because there is no indexing and no partitions."
"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 processing of data is very fast."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"It is a stable program."
"The functionality of the solution is excellent."
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations."
"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."
"The speed of the solution and its portability needs improvement."
"Running parallel queries results in poor performance and this needs to be improved."
"The product could be improved by making it more flexible."
"Pricing is one of the things that it could improve. It should be more competitive."
"It would be useful to have an option where all of the data can be queried at once and then have the result shown."
"It takes a lot of time to ingest and update the data."
"I would like to see an improved Knowledge Base on the web."
"The user interface needs to be improved."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"I'm not sure about the unstructured data management capabilities. It could be improved."
Pricing and Cost Advice
"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."
"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."
"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
Questions from the Community
Top Answer: The processing of data is very fast.
Top Answer: Of course I would advise others to choose Amazon Redshift, as long as pricing is not a concern for them.
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Earn 20 points
out of 11 in Cloud Data Warehouse
Average Words per Review
out of 34 in Relational Databases
Average Words per Review
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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.
Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.
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|Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449||Netflix|
Comms Service Provider36%
Computer Software Company38%
Comms Service Provider10%
Financial Services Firm4%
Comms Service Provider30%
Financial Services Firm10%
Computer Software Company42%
Comms Service Provider13%
Financial Services Firm6%
Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 11 reviews while Teradata is ranked 7th in Relational Databases with 4 reviews. Amazon Redshift is rated 7.6, while Teradata is rated 8.2. 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, the top reviewer of Teradata writes "Good data warehousing, scalable, and offers good functionality". Amazon Redshift is most compared with Snowflake, Oracle Exadata, Microsoft Azure Synapse Analytics, Oracle Autonomous Data Warehouse and VMware Tanzu Greenplum, whereas Teradata is most compared with SQL Server, Oracle Exadata, Snowflake, Oracle Database and Apache Hadoop.
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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.