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."I can use Anaconda for non-heavy tasks."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The virtual environment is very good."
"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."
"It helped us find find the optimal area for where our warehouse should be located."
"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 valuable feature is the set of libraries that are used to support the functionality that we require."
"The most advantageous feature is the logic building."
"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 has increased the speed of reporting."
"When you install Anaconda for the first time, it's really difficult to update it."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The solution would benefit from offering more automation."
"Anaconda should be optimized for RAM consumption."
"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."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"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."
"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."
Earn 20 points
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Teradata Data Lab is ranked 31st in BI (Business Intelligence) Tools. Anaconda is rated 7.8, 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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