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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Microsoft Access

    Score7.5 out of 10
    N/AMicrosoft Access is a database management system from Microsoft that combines the relational Microsoft Jet Database Engine with a graphical user interface and software-development tools.

    $139.99

    per PC

    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
    Pricing
    Microsoft Accesspandas
    Editions & Modules
    Microsoft Access
    $139.99
    per PC
    No answers on this topic
    Offerings
    Pricing Offerings
    Microsoft Accesspandas
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Microsoft Accesspandas
    Considered Both Products
    Microsoft
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    97%
    Would buy again
    29 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    29 Answers
    No answers on this topic
    Happy with the feature set
    93%
    Happy with the feature set
    28 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    86%
    Lived up to sales and marketing promises
    19 Answers
    No answers on this topic
    Implementation went as expected
    91%
    Implementation went as expected
    21 Answers
    No answers on this topic
    Features
    Microsoft Accesspandas
    Relational Databases
    Comparison of Relational Databases features of Microsoft Access and pandas
    Feature
    Microsoft Access
    7.7
    3 Ratings
    5% below category average
    pandas
    -
    Ratings
    ACID compliance7.02 Ratings00 Ratings
    Database monitoring8.02 Ratings00 Ratings
    Database locking8.03 Ratings00 Ratings
    Encryption7.02 Ratings00 Ratings
    Disaster recovery7.73 Ratings00 Ratings
    Flexible deployment8.02 Ratings00 Ratings
    Multiple datatypes8.03 Ratings00 Ratings
    Platform Connectivity
    Comparison of Platform Connectivity features of Microsoft Access and pandas
    Feature
    Microsoft Access
    -
    Ratings
    pandas
    8.5
    1 Ratings
    2% above category average
    Connect to Multiple Data Sources00 Ratings8.01 Ratings
    Extend Existing Data Sources00 Ratings8.01 Ratings
    Automatic Data Format Detection00 Ratings10.01 Ratings
    MDM Integration00 Ratings8.01 Ratings
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    Microsoft Accesspandas
    Small Businesses
    Amazon RDS
    Score8.1 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    SingleStore
    Score8.2 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    SAP IQ
    Score5.4 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Microsoft Accesspandas
    Likelihood to Recommend
    7.4
    (102 ratings)
    10.0
    (1 ratings)
    Likelihood to Renew
    10.0
    (15 ratings)
    -
    (0 ratings)
    Usability
    7.6
    (8 ratings)
    10.0
    (1 ratings)
    Availability
    8.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    6.4
    (5 ratings)
    -
    (0 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    8.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Microsoft Accesspandas
    Likelihood to Recommend
    Microsoft
    As a Material Purchasing/Planning/inventory tracking application, Microsoft Access serves its purpose well. It's presentation is clean, data entry is simple and the ability to customize search fields is welcome. It does, however, come with some caveats; namely, when setting search filters and the need arises to back up a step or two, with Microsoft Access you have to reset, or "clear all", adding extra steps/time to a query.
    Incentivized
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    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
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    Pros
    Microsoft
    • Very easy to create entity-relationship diagrams for various tables and designing mock layouts.
    • Really easy to navigate as it hold[s] the classic Microsoft UI. Another good thing is that it comes with the complete MS Office Suite.
    • It is really fast when joining multiple tables no matter what type of join.
    • Works on pretty much same SQL scripts so no need to learn a new language!
    Incentivized
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    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
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    Cons
    Microsoft
    • Microsoft Access has not really changed at all for several years. It might be nice to see some upgrades and changes.
    • The help info is often not helpful. Need more tutorials for Microsoft Access to show how to do specific things.
    • Be careful naming objects such as tables, forms, etc. Names that are too long can get cut off in dialog boxes to choose a table, form, report, etc. So, I wish they would have resizable dialog boxes to allow you to see objects with long names.
    • I wish it could show me objects that are not in use in the database for current queries, tables, reports, forms, and macros. That way unused objects can be deleted without worrying about losing a report or query because you deleted the underlying object.
    Incentivized
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    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
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    Likelihood to Renew
    Microsoft
    I and the rest of my team will renew our Microsoft Access in the future because we use and maintain many different applications and databases created using Microsoft Access so we will need to maintain them in the future. Additionally, it is a standard at our place of work so it is at $0 cost to us to use. Another reason for renewing Microsoft Access is that we just don' t have the resources needed to extend into a network of users so we need to remain a single-desktop application at this time.
    Read full review
    Open Source
    No answers on this topic
    Usability
    Microsoft
    Microsoft Access is easy to use. It is compatible with spreadsheets. It is a very good data management tool. There is scope to save a large amount of data in one place. For using this database, one does not need much training, can be shared among multiple users. This database has to sort and filtering features which seem to be very useful.
    Incentivized
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    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
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    Reliability and Availability
    Microsoft
    I don't think the program has ever failed me. It is one of those programs where there is always a solution if you know where to look.
    Incentivized
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    Open Source
    No answers on this topic
    Support Rating
    Microsoft
    While I have never contacted Microsoft directly for product support, for some reason there's a real prejudice against MS Access among most IT support professionals. They are usually discouraging when it comes to using MS Access. Most of this is due to their lack of understanding of MS Access and how it can improve one's productivity. If Microsoft invested more resources towards enhancing and promoting the use of MS Access then maybe things would be different.
    Incentivized
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    Open Source
    No answers on this topic
    Implementation Rating
    Microsoft
    there is no key idea, since it is easy to implement Microsoft Access
    Read full review
    Open Source
    No answers on this topic
    Alternatives Considered
    Microsoft
    Excel is a fantastic - robust application that can do so much so easily. Its easy to train and understand. However - excel does not provide a reporting function and that is typically where we will suggest a move to [Microsoft] Access. [Microsoft] Access requires a little more knowledge of data manipulation.
    Incentivized
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    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
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    Return on Investment
    Microsoft
    • Not having to recreate queries or reports every time you want to use them.
    • Once an item is created and saved as part of the database, you save manpower by not having to recreate them.
    • ROI from a usability standpoint is great. Solid product with great functionality that requires low maintenance usually.
    Incentivized
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    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
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    ScreenShots