TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    pandas

    Score10 out of 10
    N/Apandas is an open source, BSD-licensed library providing high-performance data structures and data analysis tools for the Python programming language. pandas is a Python package providing expressive data structures designed to make working with “relational” or “labeled” data both easier. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.N/A

    Universal Connectivity

    Score9.1 out of 10
    Mid-Size Companies (51-1,000 employees)
    Universal Connectivity helps clients simplify communications systems for more than two decades. The vendor states they believe flexible, scalable cloud-based telecommunications enable businesses to better connect with the clients they serve. Their products, customized solutions and customer service aim to deliver clear and fast network connections.N/A
    Pricing
    pandasUniversal Connectivity
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    pandasUniversal Connectivity
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Features
    pandasUniversal Connectivity
    Platform Connectivity
    Comparison of Platform Connectivity features of pandas and Universal Connectivity
    Feature
    pandas
    8.5
    1 Ratings
    2% above category average
    Universal Connectivity
    -
    Ratings
    Connect to Multiple Data Sources8.01 Ratings00 Ratings
    Extend Existing Data Sources8.01 Ratings00 Ratings
    Automatic Data Format Detection10.01 Ratings00 Ratings
    MDM Integration8.01 Ratings00 Ratings
    Best Alternatives
    pandasUniversal Connectivity
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Broadvoice | GoContact
    Score9.1 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Webex Calling
    Score8.8 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Webex Calling
    Score8.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    pandasUniversal Connectivity
    Likelihood to Recommend
    10.0
    (1 ratings)
    9.1
    (2 ratings)
    Usability
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    pandasUniversal Connectivity
    Likelihood to Recommend
    Open Source
    Pandas are great for quick and relatively simple analytics and visualizations
    Pandas work well for exploratory ad-hoc analytic work
    But , We had little success in implementing complicated predictive analytics. And large data sizes can be a problem.
    Incentivized
    Read full review
    Universal Connectivity
    Universal Connectivity didn't mind that we are a small company--they helped us get where we needed to be with our communication system, and I appreciate that.
    Read full review
    Pros
    Open Source
    • It is easy to do statistical analysis
    • It is easy to clean the data
    • It is easy to produce graphs and charts to visualize
    Incentivized
    Read full review
    Universal Connectivity
    • Communications with the Universal Connectivity team are well communicated and presented in a non-technical way, making it so much easier to understand.
    • The solutions offered are comprehensive and complete.
    Read full review
    Cons
    Open Source
    • There are a lot of libraries and ways to do visualization. Sometimes it is very confusing.
    • Error handling can be a challenge. Sometimes the error messages do not provide valuable clues for the debugging.
    • In our case, there are a bunch of different frameworks and libraries working together. I would rather work with one framework, well tuned for my use case
    Incentivized
    Read full review
    Universal Connectivity
    • I wish I could use them at home!
    Read full review
    Usability
    Open Source
    Over the years, we tried a lot of different frameworks and tools, homegrown and commercial. Pandas provide the best results.
    It is lightweight, flexible and easy to implement.
    Incentivized
    Read full review
    Universal Connectivity
    No answers on this topic
    Alternatives Considered
    Open Source
    All these frameworks are great for gathering data and providing some initial analysis. But for real performance debugging work one needs more than tools provided by this tools. That's where the pandas excel.
    Incentivized
    Read full review
    Universal Connectivity
    No answers on this topic
    Return on Investment
    Open Source
    • Performance debugging was time consuming and mostly poorly automated exploratory process. Once we started use pandas for these tasks, it really moved the needle. Pandas are instrumental to provide actionable insights. As a result we were able to improve notably cloud software resource utilization and performance
    • Analytics implemented with pandas allow us to detect and. address problems in our APIs before they are notable to our customers
    Incentivized
    Read full review
    Universal Connectivity
    • The ROI has allowed us to stay in business during this COVID crisis. We are all working remotely and communications with each of our team members and our clients is mission critical. The Universal Connectivity team had maximum positive impact on our ROI.
    Read full review
    ScreenShots