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 ability to reload data multiple times at different times.
Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift.
Easy to build out our snowflake design and load data.
You can copy JSON to the column and have it analyzed using simple functions.
The valuable features are performance, data compression, and scalability.
The technical support team are real professionals. I admire their technical skills and supports. Their supports are really admirable.
Our machine is used for our internal development of Oracle-based solutions, PoC benchmarking, and training/familiarization.
They just have a lot of products, and they work well together.
It is a highly relevant option with extreme performance.
Exadata with the In-Memory option is several levels about SAP HANA.
Backup/Restore performance: Fast backups, fast restores (especially useful for creating clone environments).
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.
Migrating data from other data sources can be challenging when you are working with multibyte character sets.
It would be nice if we could turn off an instance. However, it would retain the instance in history, thus allowing us to restart without beginning from scratch.
It lacks a few features which can be very useful, such as stored procedures
Query compilation time needs a lot of improvement for cases where you are generating queries dynamically.
We had issues with system restoration.
We would like an option of a hardware-only support solution, but Oracle currently does not provide this.
It would be nice to have a single click button to, say, migrate my VMware VM into the Oracle VM, or vice-versa.
I would like to see more database features and maybe more archiving features, because we need to do data archiving.
Sometimes it takes too long time to get help with technical issues.
Certification should also be improved. Today, Oracle doesn't certify applications with engineered systems.
Pricing and Cost Advice
Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.
One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project.
BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge.
If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift.
Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products.
The price is very high.
I did note that Oracle does tend to internally oversize things especially if they want to fill up a budget, and hence third-party oversight is essential.
I think it's free.
The Initial investment price could use improvement
In the sizing phase, you can also decide whether to license all cores, or reduce the number cores using capacity-on-demand features of Exadata, as well. This has a direct impact on licensing.
out of 8 in Cloud Data Warehouse
out of 29 in Data Warehouse
Compared 20% of the time.
Compared 16% of the time.
Compared 14% of the time.
Compared 25% of the time.
Compared 15% of the time.
Compared 14% 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.
Oracle Exadata Database Machine is a modern framework, engineered to run databases and to scale out database servers.
The main benefit of Exadata is speed. It hosts operating systems, CPU memory, and hard drives. It runs all types of databases, including online transaction systems, processors and data warehouses, while solving poor performances of old database architecture.
The Oracle Exadata Database Machine features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information. It is ideal for companies looking to build up their infrastructure from scratch.
For more information on Oracle Exadata Database Machine, visit Oracle.com
Learn more about Amazon Redshift
Learn more about Oracle Exadata
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