Compare Amazon Redshift vs. Oracle Exadata Express Cloud Service

Amazon Redshift is ranked 4th in Cloud Data Warehouse with 8 reviews while Oracle Exadata Express Cloud Service is ranked 8th in Database as a Service with 1 review. Amazon Redshift is rated 7.8, while Oracle Exadata Express Cloud Service is rated 8.0. The top reviewer of Amazon Redshift writes "Good performance and integrates well with our Tableau solution". On the other hand, the top reviewer of Oracle Exadata Express Cloud Service writes "A stable, scalable solution perfect for large-scale enterprises". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Oracle Exadata Express Cloud Service is most compared with Microsoft Azure SQL Data Warehouse and Teradata Cloud Data Warehouse.
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Find out what your peers are saying about Snowflake Computing, Teradata, Oracle and others in Data Warehouse. Updated: February 2020.
396,781 professionals have used our research since 2012.
Quotes From Members

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

Pros
The processing of data is very fast.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 product is relatively easy to use because there is no indexing and no partitions.The initial setup of this solution is straightforward.The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.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.

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The solution is very stable and offers great performance.

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Cons
It would be useful to have an option where all of the data can be queried at once and then have the result shown.Pricing is one of the things that it could improve. It should be more competitive.The product could be improved by making it more flexible.Running parallel queries results in poor performance and this needs to be improved.The speed of the solution and its portability needs improvement.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.

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The solution's pricing could be improved.

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Pricing and Cost Advice
The best part about this solution is the cost.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.

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Ranking
4th
Views
13,459
Comparisons
9,664
Reviews
8
Average Words per Review
324
Avg. Rating
7.9
8th
Views
766
Comparisons
502
Reviews
1
Average Words per Review
248
Avg. Rating
8.0
Top Comparisons
Compared 20% of the time.
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Overview

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.

Oracle Database Exadata Express Cloud Service delivers a managed Oracle Database 12c Release 2 Enterprise Edition with options, running on Oracle Exadata engineered systems – all at a highly affordable entry-level price. It is a full Oracle Database experience, compatible with what you get on-premises or in other Oracle Database Cloud Services, provisioned within minutes, and suitable for small to medium sized data.

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Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
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Top Industries
REVIEWERS
Comms Service Provider33%
Recruiting/Hr Firm11%
Pharma/Biotech Company11%
Manufacturing Company11%
VISITORS READING REVIEWS
Software R&D Company36%
Media Company13%
Comms Service Provider8%
Financial Services Firm7%
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Find out what your peers are saying about Snowflake Computing, Teradata, Oracle and others in Data Warehouse. Updated: February 2020.
396,781 professionals have used our research since 2012.
We monitor all 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.