Dexi.io with Mozenda vs. SAP HANA Cloud

The Mozenda platform is well suited to some specific scenarios that may work well for your organization. It is especially helpful for basic scraping of information from simple websites. If the information you need to obtain is clearly stated on a website, then Mozenda is a simple solution to capture that data quickly and easily.

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I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.

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• Action Items. Mozenda is broken down into a series of actions that can be performed on a page. Some actions take you to other pages. The action list, while short, provides a comprehensive set of tools for scraping just about any website (I haven't met one where it didn't work yet).
• Error Handling. I've used some scraping tools that have virtually no error handling. Mozenda has great error handling; the software almost always pinpoints the exact action where the agent failed and why.
• Speed. Mozenda is very fast at obtaining results. Other "bot" software can be slow and cumbersome but Mozenda plows through pages rapidly and accurately aggregates information.
• XPath compatibility. One of the most powerful features of Mozenda is the integrated ability to use XPaths to get at the exact bits of information we're after on a particular website. Access to visible information is only limited by imagination.

• Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
• Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
• Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.

• The user interface for managing agents can be improved
• When websites change, the agents could be better at dynamically updating
• The "credit" usage can be confusing

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Independently Invited by TrustRadius

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• Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
• Lack of clarity on licensing is one major challenge
• Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4

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We would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.

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It is very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.

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so far, we didn't get any outage

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so far good

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However, I am not the right person to answer this as we have another department to handle support and contact the service provider for any support required. Although i will say that they are the quick respondent and knows how to handle querry of the customers and provide quick and better support.

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Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.

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I'm only personally experienced with UBot Studio and Scrapy. UBot Studio isn't a bad application, though it has quite a large number of bugs when compared to Mozenda. UBot touts itself as low-code, but requires a significant understanding of programming logic to use the program effectively. Using UBot, we were able to get virtually all the results we wanted, but at a much higher labor cost than Mozenda. During initial implementation of UBot, it took me a full week to develop a particularly complicated agent. Using Mozenda, I was able to recreate the same agent in 4 hours. The ROI has been remarkable, and Mozenda really is a low-code platform.

I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.

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I don't have visibility in licensing

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Limitation of training deliverable by organization

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We are still in process for the first applciaiton

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• Stay relevant in the market
• Ensure product placement against competitors
• Dramatically enhance profitability

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Independently Invited by TrustRadius

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• ROI has always been high in terms of the functionality that it offers and the security features it comes with.
• Managing large volumes of data in real-time is not an easy task, but it does it pretty well with faster data processing.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info