Most Helpful Review
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.
It allows you write complex queries and perform row by row processes.
It allows for the storage of huge amounts of data.
The ability to reload data multiple times at different times.
The most valuable features are the Shared-nothing architecture and data protection functionality.
The feature that we find most valuable is its ability to perform Massive Parallel Processing.
It handles large amounts of information with a linear performance increase, in relation to a HW investment.
It has a solid set of tools and consulting services.
It has massive parallel processing ability to do large amounts of concurrent querying.
It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.
Cuts time to process huge amounts of data with efficient analytical queries.
A conventional and easily defined way to build a data warehouse or a layer of data marts.
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.
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.
Should be made available across zones, like other Multi-AZ solutions.
The user interface needs to be improved.
I would like to see an improved Knowledge Base on the web.
It needs a teaching web site with more training on third-party tools used for BI.
We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.
There is a need to improve performance in high transaction processes, as well as the reporting system.
Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).
Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.
Needs compatibility with more Big Data platforms.
Pricing and Cost Advice
It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.
Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.
The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.
We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.
Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.
Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud.
It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors.
out of 8 in Cloud Data Warehouse
Average Words per Review
out of 30 in Relational Databases
Average Words per Review
Compared 22% of the time.
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Compared 11% of the time.
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.
Learn more about Amazon Redshift
Learn more about Teradata
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