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Amazon SageMaker VS Informatica

Compare Amazon SageMaker VS Informatica and see what are their differences

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

Amazon SageMaker logo Amazon SageMaker

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

Informatica logo Informatica

As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15
  • Informatica Landing page
    Landing page //
    2023-03-11

Amazon SageMaker videos

+ Add

Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks

More videos:

  • Review - An overview of Amazon SageMaker (November 2017)

Informatica videos

+ Add

00. Informatica Master Data Management MDM Overview

More videos:

  • Review - Modifying a Data Model in Informatica Master Data Management(MDM)

Category Popularity

0-100% (relative to Amazon SageMaker and Informatica)

Amazon SageMaker

Informatica

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Dashboard
30 30%
Data Dashboard
70% 70
AI
100 100%
AI
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100

User comments

Share your experience with using Amazon SageMaker and Informatica. 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 Amazon SageMaker and Informatica

Amazon SageMaker Reviews

7 best Colab alternatives in 2023
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning. It allows users to write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, making the process of developing, testing, and deploying models much more manageable.
Source: deepnote.com

Informatica Reviews

Top 5 AWS Glue Alternatives: Best ETL Tools
Informatica is a software development company that provides products for data integration based on ETL architecture. It offers data integration software and services to various businesses, industries, and government organizations, such as telecommunications, health care, financial services, and insurance. It offers multiple features like data masking, data quality, replica,...
Source: hevodata.com
Top Big Data Tools For 2021
This tool enables businesses to collect and process big data in real-time. It automates database management and enables you to manage your big data assets from anywhere. Informatica also features a big data parser, a smart data catalog, data relationship identification, and an intelligent data lake.
Source: blog.bismart.com

Social recommendations and mentions

Based on our record, Amazon SageMaker seems to be more popular. It has been mentiond 37 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.

Amazon SageMaker mentions (37)

  • Quantum Convolutional Neural Networks
    Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. - Source: dev.to / 18 days ago
  • Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
    Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / about 2 months ago
  • Sentiment Analysis with PubNub Functions and HuggingFace
    At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 2 months ago
  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 5 months ago
  • Technical Architecture for LLMOps
    Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: about 1 year ago
View more

Informatica mentions (0)

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

What are some alternatives?

When comparing Amazon SageMaker and Informatica, you can also consider the following products

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.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Deepnote - A collaboration platform for data scientists

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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.

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

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