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Azure Synapse Analytics VS My Visual Database

Compare Azure Synapse Analytics VS My Visual Database and see what are their differences

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Azure Synapse Analytics logo Azure Synapse Analytics

Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.

My Visual Database logo My Visual Database

Using My Visual Database, you can create databases for invoicing, inventory, CRM, or any specific purpose.
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23
  • My Visual Database Landing page
    Landing page //
    2021-10-15

Azure Synapse Analytics features and specs

  • Integration
    Azure Synapse Analytics integrates with other Azure services like Azure Data Lake Storage, Power BI, and Azure Machine Learning, enabling seamless data movement and business intelligence processes.
  • Scalability
    It allows on-demand scalability, both horizontally and vertically, providing the flexibility to handle workloads of any size efficiently.
  • Unified Experience
    Offers a unified interface for data ingestion, preparation, management, and serving, simplifying data operations and reducing the need for multiple tools.
  • Advanced Security
    Includes robust security features like encryption, network protection, and advanced threat protection to ensure data security and compliance.
  • Serverless and Dedicated Options
    Provides both serverless and dedicated resource models, allowing businesses to optimize their costs by selecting the appropriate compute resources for their needs.

Possible disadvantages of Azure Synapse Analytics

  • Complexity
    The comprehensive range of features and tools can lead to a steep learning curve and complexity in setup and management for new users.
  • Cost Management
    Although flexibility is offered, managing and predicting costs can be challenging, especially in serverless scenarios where usage might fluctuate.
  • Resource Limitations
    Despite its scalability, there might be certain limitations in terms of data size or query complexity compared to some on-premises solutions.
  • Dependency on Internet Connectivity
    As a cloud-based solution, it requires stable and reliable internet connectivity, which may not be available in all regions or circumstances.
  • Integration Learning Curve
    While integration is a strength, mastering the integration with various Azure services and third-party tools can require substantial time and effort.

My Visual Database features and specs

  • User-Friendly Interface
    My Visual Database offers a graphical user interface that makes it easier for users to create and manage databases without needing extensive programming knowledge.
  • Rapid Development
    The software allows for quick application development, making it suitable for small to medium-sized projects that require fast deployment.
  • Customization
    Users have the ability to customize forms, queries, and reports, providing flexibility to adapt the database to specific needs.
  • Cost-Effective
    Being more affordable than many commercial database solutions, it offers good value for small businesses or individual developers.
  • Built-In Report Generator
    Integrated tools for creating reports directly within the application can save time and effort in generating necessary documentation.
  • Community Support
    An active community forum is available, where users can seek help and share knowledge about the software.

Possible disadvantages of My Visual Database

  • Limited Scalability
    The software may not be suitable for very large or highly complex database applications, potentially limiting its use for enterprise-level solutions.
  • Windows-Only
    My Visual Database is designed to run on Windows OS, which may not be suitable for organizations using other operating systems like macOS or Linux.
  • Limited Integrations
    There are fewer options for integrating with other third-party applications or services compared to more established database management systems.
  • Learning Curve
    Despite its graphical interface, there is still a learning curve involved, especially for users who are not familiar with database concepts.
  • Performance Issues
    Users may experience performance issues as the database size grows, affecting the speed and efficiency of operations.
  • Lack of Advanced Features
    The software lacks some advanced features available in more comprehensive database management solutions, limiting its use in more demanding applications.

Azure Synapse Analytics videos

+ Add

Azure Synapse Analytics - Next-gen Azure SQL Data Warehouse

More videos:

  • Review - Is Azure SQL Data Warehouse the Right SQL Platform for You?

My Visual Database videos

+ Add

01 Lesson - simple database of employees using My Visual Database.

More videos:

  • Review - Download My Visual Database Full version Free
  • Review - 02 Lesson - creating phone reference book using My Visual Database.

Category Popularity

0-100% (relative to Azure Synapse Analytics and My Visual Database)

Azure Synapse Analytics

My Visual Database

Office & Productivity
100 100%
Office & Productivity
0% 0
Databases
0 0%
Databases
100% 100
Development
57 57%
Development
43% 43
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Azure Synapse Analytics and My Visual Database. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Synapse Analytics and My Visual Database

Azure Synapse Analytics Reviews

Data Warehouse Tools
Azure Synapse Analytics (formerly Azure Data Warehouse) is a cloud-native data warehouse integrated with other Azure services. It unifies data warehousing and big data analytics for comprehensive insights, offering visually interactive tools for user-friendly data exploration.
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
Azure Synapse analytics is scalable for large data tables based on its distributed computing. It relies on the MPP (mentioned in the beginning, revisit if you did not grasp it) to quickly run high volumes of complex queries across multiple nodes. With Synapse, there’s an extra emphasis on security and privacy.
Source: geekflare.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
Azure SQL Data Warehouse, now subsumed by Azure Synapse Analytics, brings together the worlds of big data analytics and enterprise data warehousing. Over the years, Azure has made a name for enabling the seamless transfer of data between on-premise and cloud ecosystems.
Source: blog.panoply.io

My Visual Database Reviews

We have no reviews of My Visual Database yet.
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Social recommendations and mentions

Based on our record, Azure Synapse Analytics seems to be more popular. It has been mentiond 4 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 Synapse Analytics mentions (4)

  • DbVisualizer 24.2: A Complete Review
    Azure Synapse Analytics: DbVisualizer now has extended support for dedicated and serverless SQL pools in Azure Synapse Analytics. That includes support for database-scoped credentials, external file formats and data sources, and external tables. For more information, see the Azure Synapse Dedicated and Azure Synapse Serverless pages on the official site. - Source: dev.to / 8 months ago
  • Deploying a Data Warehouse with Pulumi and Amazon Redshift
    A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 2 years ago
  • [WSJ] Facebook Parent Meta Expected to Post Slowest Revenue Growth Since IPO
    You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 3 years ago
  • The Difference Between Data Warehouses, Data Lakes, and Data Lakehouses.
    Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 3 years ago

My Visual Database mentions (0)

We have not tracked any mentions of My Visual Database yet. Tracking of My Visual Database recommendations started around Mar 2021.

What are some alternatives?

When comparing Azure Synapse Analytics and My Visual Database, you can also consider the following products

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

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

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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