A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area. Maybe a graphical user interface where we can just input our dataset, and it will handle everything graphically and automatically, could improve Anaconda.
Cluster Manager - Risk at a financial services firm with 10,001+ employees
Real User
Top 20
2024-03-15T08:16:27Z
Mar 15, 2024
Anaconda can't handle heavy workloads. From an improvement perspective, I want Anaconda to be able to handle heavy workloads. For some enterprise versions or wherever there is a need for cloud-based tools to deal with large amounts of data, I feel that it would be good if Anaconda has a partnership or is able to integrate with Databricks.
The solution's support is important and needs to be better. I don't have the last update due to the fact that when I tried to update it I had an error and ran into issues. It's not just me; lots of people in the community don't have the last update. If support was better they may be able to address issues like this faster. The stability could be improved. Stability is very important because if you develop some product or some program, you want a very, very stable software that you can use for more than two or three years. When you install Anaconda for the first time, it's really difficult to update it. I can't think of any features that are lacking. Overall, it works quite well for me.
Analytics Analyst at a tech services company with 10,001+ employees
Real User
2020-08-13T08:33:00Z
Aug 13, 2020
It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database.
The product can be improved in a few ways. It would be possible to simplify the installation although it was not a problem in my case because of my experience. One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known that I have seen. I do not really feel it is as known as it should be in our market. The features I would like to see in the next release are more packages. That is, it would be nice to have more libraries added by default.
R&D Program Manager at a manufacturing company with 10,001+ employees
Real User
2019-12-23T07:05:00Z
Dec 23, 2019
Anaconda has a platform for data science professionals, but if they would have something for an on-prem solution for the data science platform, it would be more valuable to Anaconda. The user interface could be improved. There should be easy provisioning on AWS. Configuring clusters could be easier. The solution would benefit from offering more automation.
Senior Software Design Engineer at a financial services firm with 5,001-10,000 employees
Real User
2019-12-16T08:14:00Z
Dec 16, 2019
The interface could be improved. Other solutions, like Visual Studio, have much better UI. In Visual Studio, we can create projects. I'm not sure it's that kind of feature is possible on Anaconda. In Visual Studio, we can bring a solution and then we can keep multiple projects organized and into it. If there are any libraries, we can have them as well and we can just call them. We can easily link the libraries into the project. This should be possible on Anaconda as well.
Head - Data Science (Senior Program Manager) at a tech services company with 51-200 employees
Real User
2019-12-16T08:14:00Z
Dec 16, 2019
I think that the framework can be improved to make it easier for people to discover and use things on their own. They need a better interface because currently, we have to do everything through coding. It would be nice to have a simple description of what each library is used for and how to use it. I would like to see additional libraries included to support computer vision and natural language processing. The framework gives us the ability to create them, but having more in place would mean that we would need to do less coding.
Solution Architect/Technical Manager - Business Intelligence at a tech services company with 5,001-10,000 employees
Real User
2019-12-15T05:58:00Z
Dec 15, 2019
I would like to see the inclusion of some statistical modeling functionality. Having some examples built-in that we can customize based on the use case, rather than having to build the entire model, would really be an advantage. Additional support for the visualizations would be an improvement. The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.
Data Scientist Chapter Lead, Workflow & Automation at ANZ Banking Group
Real User
2019-12-12T07:48:00Z
Dec 12, 2019
One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together. For example, using R tidyverse to wrangle data, R ggplot to visualise data and then use Python sci kit-learn to build machine leanring model on that data. Multi-language support would allow all of the data science languages to be in one place, and we could become a hub for it.
Senior tech architect at a computer software company with 1,001-5,000 employees
Real User
2019-12-11T05:40:00Z
Dec 11, 2019
I have nothing to say about improvements; I love this product. It's our bread and butter and we use it every day. We did have issues with virtual environments in the past, but that has worked itself out.
Master Data at a energy/utilities company with 1,001-5,000 employees
Real User
2019-12-09T10:58:00Z
Dec 9, 2019
I hit some contribution issues and attribution problems, so the product could be improved in that area. There's always room for improvement. It's one thing if you have an IT guy with the solution, but there were some cases when it wasn't so simple. There were a lot of typos in the documentation and because we were using the product on-premise, the solution had to be implemented by the IT team here and they had some difficulty fixing problems, particularly from the wall sheet. I think better documentation or a step-by-step guide for installation would help, especially for on-premise users. That would be great. I haven't used it enough to think about additional features and I didn't hit any roadblocks that made me think about that. It worked well for me.
Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination...
Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.
A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area. Maybe a graphical user interface where we can just input our dataset, and it will handle everything graphically and automatically, could improve Anaconda.
Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.
If we want to do some big applications, then we need to install a lot of packages. It also takes up a lot of space.
Anaconda can't handle heavy workloads. From an improvement perspective, I want Anaconda to be able to handle heavy workloads. For some enterprise versions or wherever there is a need for cloud-based tools to deal with large amounts of data, I feel that it would be good if Anaconda has a partnership or is able to integrate with Databricks.
The solution's support is important and needs to be better. I don't have the last update due to the fact that when I tried to update it I had an error and ran into issues. It's not just me; lots of people in the community don't have the last update. If support was better they may be able to address issues like this faster. The stability could be improved. Stability is very important because if you develop some product or some program, you want a very, very stable software that you can use for more than two or three years. When you install Anaconda for the first time, it's really difficult to update it. I can't think of any features that are lacking. Overall, it works quite well for me.
It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database.
The product can be improved in a few ways. It would be possible to simplify the installation although it was not a problem in my case because of my experience. One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known that I have seen. I do not really feel it is as known as it should be in our market. The features I would like to see in the next release are more packages. That is, it would be nice to have more libraries added by default.
Anaconda has a platform for data science professionals, but if they would have something for an on-prem solution for the data science platform, it would be more valuable to Anaconda. The user interface could be improved. There should be easy provisioning on AWS. Configuring clusters could be easier. The solution would benefit from offering more automation.
Having a small guide or video on the tool would help learn how to use it and what the features are.
The interface could be improved. Other solutions, like Visual Studio, have much better UI. In Visual Studio, we can create projects. I'm not sure it's that kind of feature is possible on Anaconda. In Visual Studio, we can bring a solution and then we can keep multiple projects organized and into it. If there are any libraries, we can have them as well and we can just call them. We can easily link the libraries into the project. This should be possible on Anaconda as well.
I think that the framework can be improved to make it easier for people to discover and use things on their own. They need a better interface because currently, we have to do everything through coding. It would be nice to have a simple description of what each library is used for and how to use it. I would like to see additional libraries included to support computer vision and natural language processing. The framework gives us the ability to create them, but having more in place would mean that we would need to do less coding.
I would like to see the inclusion of some statistical modeling functionality. Having some examples built-in that we can customize based on the use case, rather than having to build the entire model, would really be an advantage. Additional support for the visualizations would be an improvement. The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.
One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together. For example, using R tidyverse to wrangle data, R ggplot to visualise data and then use Python sci kit-learn to build machine leanring model on that data. Multi-language support would allow all of the data science languages to be in one place, and we could become a hub for it.
I have nothing to say about improvements; I love this product. It's our bread and butter and we use it every day. We did have issues with virtual environments in the past, but that has worked itself out.
I hit some contribution issues and attribution problems, so the product could be improved in that area. There's always room for improvement. It's one thing if you have an IT guy with the solution, but there were some cases when it wasn't so simple. There were a lot of typos in the documentation and because we were using the product on-premise, the solution had to be implemented by the IT team here and they had some difficulty fixing problems, particularly from the wall sheet. I think better documentation or a step-by-step guide for installation would help, especially for on-premise users. That would be great. I haven't used it enough to think about additional features and I didn't hit any roadblocks that made me think about that. It worked well for me.
* Currently, it's working perfectly on Microsoft Windows but lags in open source OS like Ubuntu, Mint. * File uploading feature needs to be improved.