Manhattan Active Supply Chain vs. Oracle Autonomous Data Warehouse

Its a good product and its easy to interconnect with any other product seamlessly for the product optimization. Using Manhattan Active Supply Chain will increase warehouse productivity and equipment efficiency. It has a flexible approach in which companies can take advantages of the new features that are released by the Manhattan. Manhattan also has a great support team to help customers.

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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.

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• This product offers great functionality to optimize a business's supply chain processes.
• I like that it is easy to use.
• Pretty much self explanatory once you get logged in.

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• 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.

• I don't get very many orders that have to be routed through this portal.
• If it has been a while since logging in, I have to request that my account be unlocked.
• While there was great functionality, the ability to custom tailor the platform to a unique business process was limited.

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• 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.

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Because

• It is really simple to provision and configure.
• 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.

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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.

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Manhattan Active Supply Chain is user friendly and easy to navigate. It's good with inventory management. Small variances in inventory
can have big repercussions in your supply chain and I prefer to use a stable product, so I feel the best choice is Manhattan Active Supply Chain. Also the tool's good with planning and forecasting, it provides sophisticated tools that anticipate demand.

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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

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• Supply-chain solutions have the power to help organizations understand and model consequences
• It was strategically designed
• Its a good product

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• 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.

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