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pgAdmin VS Azure Synapse Analytics

Compare pgAdmin VS Azure Synapse Analytics and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

pgAdmin logo pgAdmin

pgAdmin Website

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.
  • pgAdmin Landing page
    Landing page //
    2021-12-31
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23

pgAdmin features and specs

  • Comprehensive Interface
    pgAdmin offers a wide range of tools and features to manage and develop PostgreSQL databases, making it a comprehensive solution for database administrators.
  • Cross-Platform Compatibility
    pgAdmin is available on multiple operating systems, including Windows, macOS, and Linux, which provides flexibility for users working in different environments.
  • User-Friendly GUI
    The graphical user interface of pgAdmin is intuitive and easy to use, even for beginners, which enhances productivity and reduces the learning curve.
  • Support for Advanced PostgreSQL Features
    pgAdmin supports various advanced PostgreSQL features such as table partitioning, stored procedures, and more, making it suitable for managing complex databases.
  • Regular Updates
    pgAdmin receives frequent updates that bring new features, improvements, and bug fixes, ensuring that the tool remains current and functional.

Possible disadvantages of pgAdmin

  • Resource Intensive
    pgAdmin can be resource-intensive, requiring significant memory and CPU usage, especially when managing large databases, which might affect performance.
  • Occasional Stability Issues
    Users have reported occasional crashes and stability issues, particularly when performing complex operations, which can disrupt workflow.
  • Limited Customization
    pgAdmin offers limited customization options compared to some other database management tools, restricting users who prefer more tailored interfaces.
  • Learning Curve for Advanced Features
    While basic operations are user-friendly, utilizing some of the more advanced features of pgAdmin can have a steep learning curve, making it less accessible to new users.
  • Dependency on Web Technologies
    pgAdmin heavily relies on web technologies (HTML, CSS, JavaScript) which may introduce latency and compatibility issues depending on the user's browser and system configuration.

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.

Analysis of pgAdmin

Overall verdict

  • Yes, pgAdmin is considered a good and reliable tool for managing PostgreSQL databases, particularly for those who prefer a graphical user interface over command-line solutions. Its rich feature set, open-source nature, and regular updates make it a robust choice for various database management tasks.

Why this product is good

  • pgAdmin is a popular open-source tool for managing PostgreSQL databases. It offers a user-friendly interface and a wide array of features that make database administration easier. With support for SQL queries, debugging tools, and graphical tools for database design, it is widely appreciated by both novice and experienced users. It's also cross-platform, meaning it can run on Windows, macOS, and Linux, which adds to its flexibility and appeal.

Recommended for

    pgAdmin is recommended for database administrators, developers, and data analysts who are involved in creating, managing, or analyzing PostgreSQL databases. It is suitable for both beginners who may benefit from its graphical tools and experienced users who require sophisticated features for advanced database management.

pgAdmin videos

+ Add

PostgreSQL: PSQL & pgAdmin 4 (Windows) | Course | 2019

More videos:

  • Review - CentOS 8 Server - #10.2 Install PgAdmin 4 on Apache

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?

Category Popularity

0-100% (relative to pgAdmin and Azure Synapse Analytics)

pgAdmin

Azure Synapse Analytics

Databases
100 100%
Databases
0% 0
Development
0 0%
Development
100% 100
Database Management
100 100%
Database Management
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

Share your experience with using pgAdmin and Azure Synapse Analytics. 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 pgAdmin and Azure Synapse Analytics

pgAdmin Reviews

Top pgAdmin Alternatives 2023
If you happen to work only with Postgres, pgAdmin is your go-to. It is free and open-source (just like Postgres itself). As pgAdmin is a web app, it can only interact with the local filesystem in ways that are allowed by modern web browsers, but this does mean that it works on Linux, macOS, and Windows.
Source: www.bytebase.com

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

Social recommendations and mentions

Azure Synapse Analytics might be a bit more popular than pgAdmin. We know about 5 links to it since March 2021 and only 4 links to pgAdmin. 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.

pgAdmin mentions (4)

  • PostgreSQL 16 Installation on Ubuntu 22.04
    Configure PostgreSQL to use md5 password authentication by editing pg_hba.conf , this is important if you wish to connect remotely e.g. Via PGADMIN :. - Source: dev.to / about 2 years ago
  • Generate a GraphQL API For Amazon RDS PostgreSQL With StepZen
    You can download pgAdmin from their official website. The same is true for PostgreSQL from EDB. The setup is basically straightforward, and just click on the installer and wait for the program to finish installing. - Source: dev.to / almost 3 years ago
  • 22.4 broke PgAdmin & prisma
    If you are using the version of pgadmin that can be downloaded from pgadmin.org, it does not list ubuntu 22.04 on it's list of supported distros. It likely depends on libraries or other dependencies that are not available anymore. Might want to see if you have any better luck if you install from source. Source: over 3 years ago
  • Migrating a Sample Schema into a PostgreSQL database issues
    I will download pgadmin like you are suggesting and see if I can gather a few more details for my own understanding... Source: over 4 years ago

Azure Synapse Analytics mentions (5)

  • Azure Fundamentals: Microsoft.Synapse
    Ready to dive deeper? Start a free Azure account today and explore the capabilities of Synapse Analytics. Visit the official Microsoft documentation for detailed guides and tutorials: https://azure.microsoft.com/en-us/products/synapse-analytics/ The future of data analytics is here, and it’s powered by Azure Synapse. - Source: dev.to / 3 months ago
  • 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 / about 1 year 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 / almost 3 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: over 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 / over 3 years ago

What are some alternatives?

When comparing pgAdmin and Azure Synapse Analytics, you can also consider the following products

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics

DataGrip - Tool for SQL and databases

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

HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

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.

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