Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.
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TeamDesk
Score 9.0 out of 10
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TeamDesk is a low-code development platform for online database creation. Business owners or managers can build a unique web database solution without any programming to facilitate working with data, organize routine work and create an accessible data source for teams.
II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
Teamdesk is perfect for any operational tracking requirements for companies small or large, and any situation where you need to integrate with other systems since it can be set up to do that flexibly via its API and Webhooks. For example, you could track contacts, time and expense, projects and tasks, schedules, web leads, check-ins, order entry, quotes and invoices, support ticketing, and use the more advanced features to integrate with other systems to pull in currency exchange rates, various lists of data from other databases, send faxes, send bulk emails and so on. It does not do offline storage, so it would not be appropriate for a situation that offline work.
Very easy and fast to load data into the Oracle Autonomous Data Warehouse
Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
It is always patched and always available and you can add storage dynamically as you need it.
Provide a very good, customizable user management system.
Gives a lot of flexibility to customize database to your needs without requiring coding skills. Even allows to customize interface if you can code in html.
Provides unlimited space and records.
Gives an opportunity to have a database on EU servers to comply with GDPR
Offers very good pricing options comparing to competitors (Salesforce, Quickbase, etc.) and offers unlimited space.
Gives an opportunity to share your ideas how to improve the platform, many of which are being implemented
Customers service if very helpful and friendly. All my questions were answered within a couple hours.
It is very expensive product. But not to mention, there's good reasons why it is expensive.
The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
The only down side that I see, is that you have to be willing to spend some time creating your database. You start with a blank canvas and all the tools you need to design a custom database. But, you have to take the time to do it. If you take that time, it is well worth it.
Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
Quickbase is a good product which I have been using for 5 years (powerful, nice interface) but - not so powerful as TeamDesk - started to move toward large companies (>50 people) - more expensive than TeamDesk Zoho was not as flexible as TeamDesk Caspio was not as powerful as TeamDesk
Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
The per user cost is significantly lower than any prior option we have tried. The time spent getting things set up was time well spent for the overall long-term savings.
