TrustRadius: an HG Insights company

Cloudera Data Science Workbench (discontinued) vs. MySQL

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Cloudera Data Science Workbench (discontinued)

    Score6.7 out of 10
    N/ACloudera Data Science Workbench (CDSW) was an enterprise data science platform for collaborative development, experimentation, model training, deployment, and management on Cloudera data infrastructure. Cloudera Data Science Workbench has reached end of support. Cloudera states that its CDSW documentation is no longer updated.N/A

    MySQL

    Score8.4 out of 10
    N/AMySQL is a popular open-source relational and embedded database, now owned by Oracle.N/A
    Pricing
    Cloudera Data Science Workbench (discontinued)MySQL
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Cloudera Data Science Workbench (discontinued)MySQL
    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
    Cloudera Data Science Workbench (discontinued)MySQL
    Considered Both Products
    Discontinued Products
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    94%
    Would buy again
    49 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    51 Answers
    Happy with the feature set
    No answers on this topic
    98%
    Happy with the feature set
    51 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    97%
    Lived up to sales and marketing promises
    36 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    46 Answers
    Features
    Cloudera Data Science Workbench (discontinued)MySQL
    Platform Connectivity
    Comparison of Platform Connectivity features of Cloudera Data Science Workbench (discontinued) and MySQL
    Feature
    Cloudera Data Science Workbench (discontinued)
    7.5
    2 Ratings
    11% below category average
    MySQL
    -
    Ratings
    Connect to Multiple Data Sources7.02 Ratings00 Ratings
    Extend Existing Data Sources8.02 Ratings00 Ratings
    Automatic Data Format Detection7.02 Ratings00 Ratings
    MDM Integration8.02 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Cloudera Data Science Workbench (discontinued) and MySQL
    Feature
    Cloudera Data Science Workbench (discontinued)
    7.6
    2 Ratings
    10% below category average
    MySQL
    -
    Ratings
    Visualization7.12 Ratings00 Ratings
    Interactive Data Analysis8.02 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Cloudera Data Science Workbench (discontinued) and MySQL
    Feature
    Cloudera Data Science Workbench (discontinued)
    7.8
    2 Ratings
    5% below category average
    MySQL
    -
    Ratings
    Interactive Data Cleaning and Enrichment7.02 Ratings00 Ratings
    Data Transformations8.02 Ratings00 Ratings
    Data Encryption8.02 Ratings00 Ratings
    Built-in Processors8.02 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Cloudera Data Science Workbench (discontinued) and MySQL
    Feature
    Cloudera Data Science Workbench (discontinued)
    7.6
    2 Ratings
    11% below category average
    MySQL
    -
    Ratings
    Multiple Model Development Languages and Tools8.02 Ratings00 Ratings
    Automated Machine Learning7.01 Ratings00 Ratings
    Single platform for multiple model development7.12 Ratings00 Ratings
    Self-Service Model Delivery8.12 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Cloudera Data Science Workbench (discontinued) and MySQL
    Feature
    Cloudera Data Science Workbench (discontinued)
    8.0
    2 Ratings
    6% below category average
    MySQL
    -
    Ratings
    Flexible Model Publishing Options8.12 Ratings00 Ratings
    Security, Governance, and Cost Controls7.82 Ratings00 Ratings
    Best Alternatives
    Cloudera Data Science Workbench (discontinued)MySQL
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    PostgreSQL
    Score8.8 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    SQLite
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Cloudera Data Science Workbench (discontinued)MySQL
    Likelihood to Recommend
    9.0
    (3 ratings)
    8.5
    (146 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (5 ratings)
    Usability
    -
    (0 ratings)
    7.9
    (18 ratings)
    Support Rating
    7.9
    (2 ratings)
    9.0
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Cloudera Data Science Workbench (discontinued)MySQL
    Likelihood to Recommend
    Discontinued Products
    Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
    Incentivized
    Read full review
    Oracle
    MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.
    Incentivized
    Read full review
    Pros
    Discontinued Products
    • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
    • For larger organizations/teams, it lets you be self reliant
    • As it sits on your cluster, it has very easy access of all the data on the HDFS
    • Linking with Github is a very good way to keep the code versions intact
    Incentivized
    Read full review
    Oracle
    • Stable - it just runs, with minimal downtime or errors
    • Fast - well-structured data is quickly written and read
    • Secure - MySQL is easy to keep data secure from people and applications that shouldn't see it
    • Easy to use - SQL is industry standard so no problems with adding, editing and reading data stored in MySQL
    Incentivized
    Read full review
    Cons
    Discontinued Products
    • Installation is difficult.
    • Upgrades are difficult.
    • Licensing options are not flexible.
    Incentivized
    Read full review
    Oracle
    • Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
    • Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.
    Incentivized
    Read full review
    Likelihood to Renew
    Discontinued Products
    No answers on this topic
    Oracle
    For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
    Incentivized
    Read full review
    Usability
    Discontinued Products
    No answers on this topic
    Oracle
    I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
    Read full review
    Support Rating
    Discontinued Products
    Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.
    Incentivized
    Read full review
    Oracle
    We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.
    Incentivized
    Read full review
    Implementation Rating
    Discontinued Products
    No answers on this topic
    Oracle
    1. Estimate your data size. 2. Test, test, and test.
    Incentivized
    Read full review
    Alternatives Considered
    Discontinued Products
    Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
    Incentivized
    Read full review
    Oracle
    MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.
    Incentivized
    Read full review
    Return on Investment
    Discontinued Products
    • Paid off for demonstration purposes.
    Incentivized
    Read full review
    Oracle
    • As it is an open source solution through community solution, we can use it in a multitude of projects without cost license
    • The acquisition by Oracle makes you need to contract support for the enterprise version
    • If you have knowledge about oracle databases, you can get more out of the enterprise version
    Incentivized
    Read full review
    ScreenShots