We performed a comparison between Anaconda and Teradata Data Lab based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."
"The most advantageous feature is the logic building."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"The notebook feature is an improvement over RStudio."
"It helped us find find the optimal area for where our warehouse should be located."
"It has increased the speed of reporting."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
"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."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"It also takes up a lot of space."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"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."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"Their level of technical support is adequate. It could be better."
"The initial setup was complex as we had to rewrite a lot of the code."
Earn 20 points
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Teradata Data Lab is ranked 31st in BI (Business Intelligence) Tools. Anaconda is rated 8.0, while Teradata Data Lab is rated 8.6. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of Teradata Data Lab writes "You can schedule any testing you want to do in production". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Teradata Data Lab is most compared with Teradata Vantage, Databricks, Microsoft Power BI, Tableau and Oracle DataScience.com Platform.
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