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 product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"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 documentation is excellent and the solution has a very large and active community that supports it."
"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."
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"The solution is stable."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"I can use Anaconda for non-heavy tasks."
"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."
"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 interface could be improved. Other solutions, like Visual Studio, have much better UI."
"Anaconda can't handle heavy workloads."
"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."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"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."
"The initial setup was complex as we had to rewrite a lot of the code."
"Their level of technical support is adequate. It could be better."
Earn 20 points
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Teradata Data Lab is ranked 32nd 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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