Redgate SQL Toolbelt Essentials vs. SAP HANA Cloud

We use SQL Compare to troubleshoot performance problems quite a bit since our data model is more like a template and not everything is 100% in sync and customization occurs between different client databases. We continually get pulled into performance issues and the developers will say Client A is performing different than Client B, why? Using SQL Compare, we usually find that one client was tuned and had indexes altered or added that weren't deployed to all clients or other objects weren't deployed correctly during the release. On the other hand, since our data model practices allow client databases to drift I tried to create a new golden image by trying to compare multiple databases based on the same data model and found it to be a very difficult process to complete using SQL Compare. SQL Compare gave me too much information and doesn't allow enough filtering to eliminate a lot of the noise.

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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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• Simple and easy comparison of database schemas and data. Differences can be copied or synced from one database to another with a click of a button.
• You can save "projects" so that you can easily rerun a previous comparison whenever you need to.
• It has a very simple, easy to learn interface. I've never needed to read any documentation or watch any tutorials in order to figure out how to do something.

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• 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.

• Pricing.... I wish there was an inexpensive developer version I could buy for myself.
• Portability.... I would like to use it from a flash drive so I can use it where ever I am asked to work.
• Unbundled.... This may be available already but I dont' recall I can buy it cheaply as a stand-alone product. Its only part of the bundle - cost effectively.

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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's a good tool to have, but becomes expensive to buy a user license for each developer.

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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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They have a great community website where you can search for answers but are also very responsive when it comes to direct support.

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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've used Visual Studio Database Projects for this type of work in the past with some success, but Redgate SQL Compare is faster, more transparent, and simply easier to use. Faster is self explanatory. More transparent, means that it's much easier to set up your desired options for schema change deployment scripts. Easier to use, It's really dead simple. Start a project, connect your source, connect destination, click compare.

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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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• Makes deployment fairly simple. Cutting our deployment time down.
• With the SDK, we can customize our deployment process very quickly and easily.
• History is not great, it does create scripts you can go back and see but it would be nice to have a quicker version view by object to save time.

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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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