Enthought Canopy (discontinued) vs. HubSpot CRM

Enthought Canopy is best suites for scripting data analytical concepts. It has a wide range of data analytical libraries and also is good for data visualization. I would not recommend using Enthought Canopy only as an IDE, there may be better options available. If you're looking for a good data simulation & visualization package, Canopy it is.

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I think HubSpot CRM is really worth it for small to large organizations who have at least 5 sales people. You really get more use out of the program the larger your sales team is. HubSpot CRM is such a robust program it does take time to learn and you need to be prepared to scale with it for years. You will be better at utilizing it after year 2 than year 1 for sure.

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• Providing scientific libraries, both open source and Enthought's own libraries which are excellent.
• Training. They provide several courses in python for general use and for data analysis.
• Debugging tools. Several IDEs provides tools for debugging, but I think they are insufficient or too general. Canopy has a special debugging tool, specially design for python.

• With a unified workflow, we can effortlessly update contact records, generate sales deals, and dispatch personalized marketing emails.
• With Breeze AI, I can easily automate tasks by giving it the proper prompt. It doesn’t generate random text. It helps in managing tasks.

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• Canopy does not support Python 3
• There were times the Python shell crashed, and I would have to restart it
• Some Python libraries are slow.

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• The mobile app could be better. It is fine for quick updates or checking something on the go, but it feels limited compared to the desktop version.
• In my time of using Hubspot, the dashboard UI has changed twice I think, and it certainly isn't helpful when you're trying to get used a new view entirely.
• I have observed HubSpot CRM sometimes has issues with large lists, and shows incorrect number on the list page versus the detail page.
• Search can be improved, because sometimes it misbehaves or doesn't show what is expected.

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Thus far, our company has found HubSpot CRM to be a reliable service that serves its purpose well: a centralized business contacts database, accessible remotely, with a simple and visually-pleasing interface. Issues are non-existent or resolved quickly, and when the service is experiencing interruptions, notifications and/or updates are sent regularly.

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There is a steep learning curve with HubSpot compared to more rigid Client/Case Management APIs. The platform's openness can be overwhelming to navigate and to teach to those who are technologically challenged. Once you learn the navigation and the tools needed to complete tasks, it becomes easier. There was a lot of clutter on the navigation menu. If your subscription doesn't give you access to a tool, you should be able to deactivate it or remove it from the navigation, which could reduce the platform's overwhelming nature.

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Because when I needed help HubSpot responded immediately and provided me with the information I needed which enabled me to realize that HubSpot was even more customizable and easier to use than I thought! And I already thought HubSpot was very user friendly and easy to use, and then Support showed me how to manipulate the settings, columns and the appearance of the tool.

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If you've had any prior experience with cloud based marketing automation or group communication tools, you can do the implementation without paid outside support. Though getting to a SLA (service level agreement) would be best achieved with the help of a third party who can facilitate

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Before Canopy with its python we were working with Matlab. We decided for Canopy against Matlab for two reasons: First, we believe that python together with NumPy or SciPy can achieve the objectives with less code and therefore less training, and second the prizes are much lower than matlab which is most robust, expensive and less intuitive. It's clear we are making the comparison with python and it has nothing to with canopy. But with Canopy you feel you have all those tools close together without the problem of configuration, besides a lot of personalized libraries that complements a typical python environment.

Our team and senior managers deemed these products worth reviewing and requested that every team assess them, enabling our company to make an informed decision about the software to purchase. Everybody checked, and a survey was conducted among all those employees. We received the most votes for HubSpot CRM, as most employees preferred it.

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• Its easier to define KPI's with Enthought
• It is good for reiteration and building on top of existing scripts
• Its dedicated Python console makes it easier to execute projects.

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• When the decision came to explore a platform that would migrate our data and leave the transition as seamless as I would like to see more native options for automation possible, a number of products were suggested. Once we saw HubSpot CRM we knew it was for us. My division were the trial usage group...which has led to enterprise adoption and we couldn't be happier.
• I wish I could say that the support team has been awesome... but we haven't needed to utilize them, which is a testimony in its own right. The couple of minor issues we had were largely user education issues and were quickly handled.
• The commitment the entire HubSpot team has for, not just their clients, but anyone in business that is open to learn resonates with everything they do. I subscribed to their blog and the free resources they deliver is truly amazing and they deserve kudos.

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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. TR verified that a representative sample of customers was invited. More Info