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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Spark

    Score8.8 out of 10
    N/AApache Spark is an open-source, distributed cluster-computing framework designed for large-scale data processing, batch transformations, real-time Streaming Analytics, and machine learning workloads. The platform executes distributed memory-centric computations across heterogeneous storage layers using unified APIs in Python, Scala, Java, SQL, and R.N/A

    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

    Pricing
    Apache SparkMicrosoft Access
    Editions & Modules
    No answers on this topic
    Microsoft Access
    $139.99
    per PC
    Offerings
    Pricing Offerings
    Apache SparkMicrosoft Access
    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
    Apache SparkMicrosoft Access
    Considered Both Products
    Apache
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    11 Answers
    97%
    Would buy again
    29 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    11 Answers
    97%
    Delivers good value for the price
    29 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    11 Answers
    93%
    Happy with the feature set
    28 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    86%
    Lived up to sales and marketing promises
    19 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    11 Answers
    91%
    Implementation went as expected
    21 Answers
    Features
    Apache SparkMicrosoft Access
    Relational Databases
    Comparison of Relational Databases features of Apache Spark and Microsoft Access
    Feature
    Apache Spark
    -
    Ratings
    Microsoft Access
    7.7
    3 Ratings
    5% below category average
    ACID compliance00 Ratings7.02 Ratings
    Database monitoring00 Ratings8.02 Ratings
    Database locking00 Ratings8.03 Ratings
    Encryption00 Ratings7.02 Ratings
    Disaster recovery00 Ratings7.73 Ratings
    Flexible deployment00 Ratings8.02 Ratings
    Multiple datatypes00 Ratings8.03 Ratings
    Best Alternatives
    Apache SparkMicrosoft Access
    Small Businesses
    No answers on this topic
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    No answers on this topic
    SingleStore
    Score8.2 out of 10
    Enterprises
    No answers on this topic
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache SparkMicrosoft Access
    Likelihood to Recommend
    9.0
    (24 ratings)
    7.4
    (102 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    10.0
    (15 ratings)
    Usability
    8.0
    (4 ratings)
    7.6
    (8 ratings)
    Availability
    -
    (0 ratings)
    8.0
    (1 ratings)
    Support Rating
    8.7
    (4 ratings)
    6.4
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    8.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    Apache SparkMicrosoft Access
    Likelihood to Recommend
    Apache
    Well suited: To most of the local run of datasets and non-prod systems - scalability is not a problem at all. Including data from multiple types of data sources is an added advantage. MLlib is a decently nice built-in library that can be used for most of the ML tasks. Less appropriate: We had to work on a RecSys where the music dataset that we used was around 300+Gb in size. We faced memory-based issues. Few times we also got memory errors. Also the MLlib library does not have support for advanced analytics and deep-learning frameworks support. Understanding the internals of the working of Apache Spark for beginners is highly not possible.
    Incentivized
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    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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    Pros
    Apache
    • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
    • Faster in execution times compare to Hadoop and PIG Latin
    • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
    • Interoperability between SQL and Scala / Python style of munging data
    Incentivized
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    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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    Cons
    Apache
    • Memory management. Very weak on that.
    • PySpark not as robust as scala with spark.
    • spark master HA is needed. Not as HA as it should be.
    • Locality should not be a necessity, but does help improvement. But would prefer no locality
    Incentivized
    Read full review
    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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    Likelihood to Renew
    Apache
    Capacity of computing data in cluster and fast speed.
    Read full review
    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
    Usability
    Apache
    If the team looking to use Apache Spark is not used to debug and tweak settings for jobs to ensure maximum optimizations, it can be frustrating. However, the documentation and the support of the community on the internet can help resolve most issues. Moreover, it is highly configurable and it integrates with different tools (eg: it can be used by dbt core), which increase the scenarios where it can be used
    Incentivized
    Read full review
    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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    Reliability and Availability
    Apache
    No answers on this topic
    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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    Support Rating
    Apache
    1. It integrates very well with scala or python. 2. It's very easy to understand SQL interoperability. 3. Apache is way faster than the other competitive technologies. 4. The support from the Apache community is very huge for Spark. 5. Execution times are faster as compared to others. 6. There are a large number of forums available for Apache Spark. 7. The code availability for Apache Spark is simpler and easy to gain access to. 8. Many organizations use Apache Spark, so many solutions are available for existing applications.
    Read full review
    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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    Implementation Rating
    Apache
    No answers on this topic
    Microsoft
    there is no key idea, since it is easy to implement Microsoft Access
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    Alternatives Considered
    Apache
    Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
    Incentivized
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    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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    Return on Investment
    Apache
    • Business leaders are able to take data driven decisions
    • Business users are able access to data in near real time now . Before using spark, they had to wait for at least 24 hours for data to be available
    • Business is able come up with new product ideas
    Incentivized
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    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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