Mode Analytics vs. Oracle Autonomous Data Warehouse

Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.

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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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• It allows me to undertake data visualization tasks by creating really insightful charts and dashboards
• It allows for easy sharing and work collaboration on data analysis tasks
• Mode has an easier to use SQL editor as well
• I love how it organizes all our SQL data tables into easy-to-view data we can draw insights on

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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.

• Date ranges aren't always the most intuitive to set, strangely
• Faster refresh rates would be ideal
• Would love more dynamic mobile device integration (alerts, etc)

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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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For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.

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Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.

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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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We used both Qlik and Mode at our organization. The mode was used a quick analysis SQL tool while Qlik was our enterprise BI solution.

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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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• Extremely positive. It's a key feature in our application.
• Were it not for the account management bit, Mode would be hands-down our recommendation for anyone looking for cloud BI.

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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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