MichaelBeeckTechnology Evangelist, CTO, Entrepreneur
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."
"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."
"It is quite simple to use and there are no issues with creating the tables."
"The most valuable feature is the scalability, as it grows according to our needs."
"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The analytics have been very good. We've found them to be quite useful."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"Self-patching and runs machine-learning across its logs all the time"
"The solution integrates well with Power BI."
"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."
"The OLAP slide and dice features need to be improved."
"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."
"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."
"I would like to see an on-premise solution in the future."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"Ease of connectivity could be improved."
"The initial setup was pretty complex. It was not easy."
"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 cost is perfect with Oracle Universal credit."
"ROI is high."
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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.
Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes.
Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 10 reviews while Oracle Autonomous Data Warehouse is ranked 5th in Cloud Data Warehouse with 7 reviews. Amazon Redshift is rated 7.6, while Oracle Autonomous Data Warehouse is rated 8.6. 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 Oracle Autonomous Data Warehouse writes "Self-patching means I generally don't need a DBA; detailed analytics make it very capable". Amazon Redshift is most compared with Snowflake, Microsoft Azure Synapse Analytics, Oracle Exadata, Teradata and VMware Tanzu Greenplum, whereas Oracle Autonomous Data Warehouse is most compared with Snowflake, Microsoft Azure Synapse Analytics, Teradata, Apache Hadoop and IBM Netezza Performance Server. See our Amazon Redshift vs. Oracle Autonomous Data Warehouse report.
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.