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EasyMorph VS Azure Synapse Analytics

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

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EasyMorph logo EasyMorph

Self-service data transformation & automation for business

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.
  • EasyMorph Landing page
    Landing page //
    2023-09-21
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23

EasyMorph features and specs

  • User-friendly interface
    EasyMorph provides a drag-and-drop interface which makes it easy for users with minimal technical skills to create and manage workflows.
  • Data transformation capabilities
    The platform offers a wide range of data transformation features, enabling users to clean, aggregate, and manipulate data efficiently.
  • Automation
    EasyMorph allows users to automate regular data tasks, which can save time and reduce the risk of human error.
  • Integrations
    The tool supports various data sources and systems, including databases, spreadsheets, and APIs, facilitating seamless data integration.
  • Performance
    EasyMorph is designed to handle large datasets efficiently, providing good performance even with complex operations.
  • Affordability
    Compared to other data transformation tools, EasyMorph is relatively affordable, making it an attractive choice for small to medium-sized businesses.

Possible disadvantages of EasyMorph

  • Limited advanced analytics
    Unlike some other data transformation tools, EasyMorph lacks advanced analytics capabilities, which might be a limitation for users requiring complex statistical analysis.
  • Learning curve for advanced features
    While the basic features are easy to use, mastering advanced features and complex transformations might require a steeper learning curve.
  • Limited community support
    The user community for EasyMorph might be smaller compared to other more established tools, potentially leading to less peer support and fewer shared resources.
  • Less flexibility in scripting
    Some users might find the lack of scripting flexibility an issue, especially if they prefer code-based manipulation and transformation of data.
  • Platform dependency
    EasyMorph is primarily a Windows-based application, which might be a limitation for users who prefer or require a Mac or Linux environment.

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 EasyMorph

Overall verdict

  • Yes, EasyMorph is considered a good tool for businesses and individuals who need a user-friendly application for data preparation and automation. It is well-regarded for its effectiveness in simplifying complex data processes and its ability to integrate seamlessly with various data sources.

Why this product is good

  • EasyMorph is a powerful data preparation and automation tool designed for non-technical users. It provides an intuitive interface with drag-and-drop functionality, allowing users to perform complex data transformations without the need for programming skills. Features like the ability to automate repetitive tasks, schedule data manipulations, and connect with various data sources enhance its utility for business users aiming to improve data management processes. Additionally, its focus on ease of use and efficiency makes it suitable for small to medium-sized enterprises looking to streamline ETL processes.

Recommended for

  • Business analysts looking to simplify data processing
  • Small to medium-sized enterprises seeking to automate ETL workflows
  • Non-technical professionals needing to handle data without programming skills
  • Organizations in need of cost-effective data management solutions

EasyMorph videos

+ Add

Introduction to EasyMorph v3.6

More videos:

  • Review - Getting Started with EasyMorph 2 2
  • Review - Creating a basic workflow using EASYMORPH.

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 EasyMorph and Azure Synapse Analytics)

EasyMorph

Azure Synapse Analytics

Office & Productivity
53 53%
Office & Productivity
47% 47
Data Dashboard
59 59%
Data Dashboard
41% 41
Development
30 30%
Development
70% 70
Business & Commerce
64 64%
Business & Commerce
36% 36

User comments

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Reviews

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

EasyMorph Reviews

We have no reviews of EasyMorph yet.
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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

Based on our record, EasyMorph should be more popular than Azure Synapse Analytics. It has been mentiond 7 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.

EasyMorph mentions (7)

  • Excel Never Dies
    Your task could be trivially done with EasyMorph (https://easymorph.com). We've designed it exactly for such use cases. Data needs of non-technical people have long been neglected. It was believed that any data wrangling should be done by IT people. So all non-technical people had was Excel. Luckily, the no-code movement finally started addressing that issue with a varying degree of success. - Source: Hacker News / almost 3 years ago
  • Ask HN: Who is hiring? (July 2022)
    EasyMorph | F# Developer | Full-time, Remote | https://easymorph.com EasyMorph is a powerful data wrangling and ETL application that makes life easier for thousands of knowledge workers around the world. Your job would be to keep developing our high-performance best-in-class columnar data transformation engine that lies at the heart of the application. It's a challenging task that requires an experienced F#... - Source: Hacker News / almost 3 years ago
  • Show HN: PRQL – A Proposal for a Better SQL
    >PRQL is intended to be a modern, simple, declarative language for transforming data It's not declarative. It's functional. I believe that the approach that is followed by PRQL is more practical than SQL. We've implemented a similar approach in our visual ETL tool for non-technical people (https://easymorph.com) and it works wonderfully. Other cool things you can do with this approach (and can't with SQL): *... - Source: Hacker News / over 3 years ago
  • Ask HN: Anyone making a living building desktop applications?
    I started a company that built, I believe, the most advanced no-code data automation desktop application (https://easymorph.com). It's entirely bootstrapped, profitable and pays salaries to 10+ people (and we keep hiring). Many our customers specifically looked for an on-prem solution as they don't want to deal with SaaS and its privacy issues and use-based pricing. With an on-prem tool like ours they get... - Source: Hacker News / over 3 years ago
  • Power Fx: open-source now available
    May I suggest your non-tech users to try EasyMorph[1] (I'm the founder)? It's easier than PowerQuery (it's completely no-code) and at the same time more powerful. 80% of PowerQuery capabilities require coding. Our tool is 100% visual (and has a free edition). [1] https://easymorph.com. - Source: Hacker News / over 3 years ago
View more

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 / 9 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

What are some alternatives?

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

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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.

Tableau Prep - Tableau Prep is comprised of two products: Prep Builder and Prep Conductor.

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

Trifacta - Data Transformation Platform.

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

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