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Azure Synapse Analytics VS IBM Watson Studio

Compare Azure Synapse Analytics VS IBM Watson Studio and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

IBM Watson Studio logo 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.
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23
  • IBM Watson Studio Landing page
    Landing page //
    2023-10-05

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?

IBM Watson Studio videos

+ Add

Product Review: IBM Watson Studio AutoAI

More videos:

  • Review - Overview of IBM Watson Studio
  • Review - Configuring IBM Watson Studio (Free) with 2.3 (coursera), April 30th '19 Release

Category Popularity

0-100% (relative to Azure Synapse Analytics and IBM Watson Studio)

Azure Synapse Analytics

IBM Watson Studio

Development
100 100%
Development
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

Share your experience with using Azure Synapse Analytics and IBM Watson Studio. 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 IBM Watson Studio

Azure Synapse Analytics Reviews

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

IBM Watson Studio Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: IBM Watson Studio enables users to build, run, and manage AI models at scale across any cloud. The product is a part of IBM Cloud Pak for Data, the company’s main data and AI platform. The solution lets you automate AI lifecycle management, govern and secure open-source notebooks, prepare and build models visually, deploy and run models through one-click...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Azure Synapse Analytics seems to be more popular. It has been mentiond 3 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 (3)

  • 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 1 year 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 2 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 2 years ago

IBM Watson Studio mentions (0)

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

What are some alternatives?

When comparing Azure Synapse Analytics and IBM Watson Studio, you can also consider the following products

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

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.

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

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

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

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