Software Alternatives, Accelerators & Startups
Register | Login

Azure Machine Learning Studio VS DBConvert Studio

Compare Azure Machine Learning Studio VS DBConvert Studio and see what are their differences

Momen
Build powerful web apps, and create your custom AI apps, no code needed! featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Azure Machine Learning Studio logo Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

DBConvert Studio logo DBConvert Studio

Database migration/ sync software for data conversion and replication.
  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03
  • DBConvert Studio Landing page
    Landing page //
    2021-05-20

Cross-database migration and synchronization application which seamlessly converts database structure and data between various formats. Different sync options keep data fresh for both source and destination database nodes.

Supported databases:

  • Microsoft SQL Server
  • MySQL
  • Oracle
  • PostgreSQL
  • Microsoft Access
  • Microsoft FoxPro
  • SQLite
  • Firebird
  • Microsoft Excel
  • IBM DB2
  • MS Azure SQL
  • Amazon RDS
  • Amazon Aurora
  • Heroku Postgres
  • Google Cloud

Azure Machine Learning Studio

Website
studio.azureml.net
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

DBConvert Studio

Website
dbconvert.com
Pricing URL
Official DBConvert Studio Pricing
$ Details
paid Free Trial $499.0 / One-off
Platforms
Windows
Release Date
2020 May
Edit details

Azure Machine Learning Studio features and specs

  • User-Friendly Interface
    Azure Machine Learning Studio offers a drag-and-drop interface that makes it accessible for users without extensive coding experience, allowing for easy model creation and deployment.
  • Integration with Azure Services
    It seamlessly integrates with other Azure services, providing a comprehensive suite for data processing, storage, and deployment, enhancing its overall utility and functionality.
  • Pre-built Algorithms
    The platform includes a variety of pre-built algorithms and modules, which can significantly speed up the model development process and cater to different machine learning needs.
  • Collaborative Environment
    Azure Machine Learning Studio supports collaborative work, enabling team members to work together on projects, share resources, and manage models efficiently.
  • Scalability
    Being cloud-based, it can easily scale up with the needs of the project, accommodating growing data sizes and computational requirements without significant time or resource investment.

Possible disadvantages of Azure Machine Learning Studio

  • Limited Customization
    While it's easy to use for standard tasks, experienced data scientists may find it limiting when trying to implement highly customized solutions, as it may lack some of the flexibility found in open-source alternatives.
  • Cost
    Using Azure Machine Learning Studio, especially when scaling up, can become expensive compared to other platforms, particularly for startups or small businesses with limited budgets.
  • Performance Bottlenecks
    For large scale data processing or complex algorithms, users may encounter performance limitations, as certain operations may be slower compared to running locally optimized environments.
  • Learning Curve for Advanced Features
    While basic use is straightforward, leveraging advanced features effectively may require a considerable learning curve, particularly for those unfamiliar with Azure's ecosystem.
  • Dependency on Internet Connectivity
    As a cloud-based service, a stable internet connection is necessary for uninterrupted access and performance, which might be a limitation in scenarios with unreliable network access.

DBConvert Studio features and specs

  • Versatile Database Support
    DBConvert Studio supports a wide range of database formats including MySQL, PostgreSQL, Oracle, SQL Server, SQLite, and more, making it a flexible solution for various database migration and synchronization needs.
  • Bi-directional Synchronization
    The software allows for bi-directional synchronization between databases, ensuring data consistency and enabling seamless migration processes.
  • Data Transformation
    With capabilities for complex data transformations, users can customize how data is migrated or synchronized, which helps meet specific project requirements.
  • User-Friendly Interface
    The interface is designed to be intuitive and user-friendly, allowing users of various technical expertise to navigate and use the tool effectively.
  • Automated Tasks and Scheduling
    DBConvert Studio provides options for automating tasks and scheduling migrations, which can save time and reduce the potential for human error.

Possible disadvantages of DBConvert Studio

  • Cost
    The software is not free and may present a significant cost, particularly for small businesses or individual users.
  • Resource Intensive
    The application can be resource-intensive, requiring a robust system to run smoothly, particularly during large data migrations.
  • Learning Curve
    Despite its user-friendly interface, the myriad of features and capabilities can present a learning curve for new users who may not be familiar with database management tools.
  • Limited Free Trial
    The free trial version has limited features, which may not provide a full understanding of the software’s capabilities before purchasing.
  • Technical Support
    While support is available, it can sometimes be slow to respond, which might be a disadvantage when urgent issues need to be resolved.

Azure Machine Learning Studio videos

+ Add

Azure Machine Learning Studio

More videos:

  • Review - Introduction to Microsoft Azure Machine Learning Studio & Services

DBConvert Studio videos

+ Add

Database migration and sync software.

More videos:

  • Tutorial - DBConvert Studio. How to Copy data between the most popular databases.
  • Tutorial - DBConvert Studio. How to Synchronize data between the most popular databases.

Category Popularity

0-100% (relative to Azure Machine Learning Studio and DBConvert Studio)

Azure Machine Learning Studio

DBConvert Studio

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Databases
0 0%
Databases
100% 100
Machine Learning
100 100%
Machine Learning
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using Azure Machine Learning Studio and DBConvert Studio. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Machine Learning Studio and DBConvert Studio

Azure Machine Learning Studio Reviews

We have no reviews of Azure Machine Learning Studio yet.
Be the first one to post

DBConvert Studio Reviews

  1. markus-patt

    Good alternative to other migration tools, has many features and settings,i am migrating my databases fastly to my web server on regular basis.

    🏁 Competitors: Full Convert
    👍 Pros:    Fast conversion speed|Good responsive interface|Low price
  2. Tim
    · IT Manager at Kalahari Research Trust ·
    Great tool with super customer support and tailored advice

    Great tool! Our research trust has been using this tool for the last 5 years. We have received a lot of support which was very personal and due to the complexity of our MS access database even a customisation was made to the program to be able to import all our records without any problems. I highly recommend this tool for migration, but also in our case for daily synchronisation of an active MS Access database to MySQL.

    👍 Pros:    Efficient|Lightweight|Great customer support|Highly customizable
  3. Samuel
    · db assistant ·
    good migration program

    I'm using DBConvert Studio for replicating many MySQL databases to Postgres and it is very handy so it's quite powerful tool for doing such jobs.

15 Best ETL Tools in 2022 (A Complete Updated List)
First, DBConvert studio creates simultaneous connections to databases. Then a separate job is created for tracking the migration/replication process. Data can be migrated or synchronized in one or bi-directional way.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Based on our record, Azure Machine Learning Studio seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Machine Learning Studio mentions (2)

  • What are all possible FREE Machine Learning integrations with Power BI?
    Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 3 years ago
  • Stumbling into BI as a job role and need advice
    Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: almost 4 years ago

DBConvert Studio mentions (0)

We have not tracked any mentions of DBConvert Studio yet. Tracking of DBConvert Studio recommendations started around Mar 2021.

What are some alternatives?

When comparing Azure Machine Learning Studio and DBConvert Studio, you can also consider the following products

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

DBConvert for Excel and MySQL - Database migration tool for Excel to MySQL.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Full Convert - Full Convert is industry standard for database migration. Supports 40 database formats and offers unparalleled speed and customization.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

ESF Database Migration Toolkit - ESF Database Migration Toolkit enables transfer of data between various database formats without writing any scripts.

Loading...