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DataGrip VS Amazon SageMaker

Compare DataGrip VS Amazon SageMaker and see what are their differences

DataGrip logo DataGrip

Tool for SQL and databases

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.
  • DataGrip Landing page
    Landing page //
    2023-03-16
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15

DataGrip videos

DataGrip Introduction

Amazon SageMaker videos

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)

Category Popularity

0-100% (relative to DataGrip and Amazon SageMaker)
Databases
100 100%
0% 0
Data Science And Machine Learning
Database Management
100 100%
0% 0
AI
0 0%
100% 100

User comments

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

DataGrip Reviews

15 Best MySQL GUI Clients for macOS
DataGrip is a smart subscription-based IDE for numerous database tasks. It equips database developers, administrators, and analysts with a multitude of integrated tools that help you work with queries and deliver flexible management of database objects.
Source: blog.devart.com
Best MySQL GUI Clients for Linux in 2023
DataGrip is a smart IDE for database tasks. It equips database developers, administrators, and analysts with many professional tools integrated into one platform. With the help of DataGrip, users can work with large queries and stored procedures easily as well as code faster with the help of auto-completion, syntax checks, quick fixes, etc.
Source: blog.devart.com
9 Best Database Software For Mac [Reviewed & Ranked]
It is not easy to say which is the best database software for mac. You need to work out if you are after a general database client for development or are you after a full-blown IDE. For a general database developer tool, DBeaver is free and open-source and has basic to advanced features. If you want a full IDE then TablePlus or DataGrip will be more suitable options.
Source: alvarotrigo.com
DBeaver v. MySQL Workbench v. POPSQL v. Visual Studio Code.
Pricing: DataGrip doesn’t have a community version. You can download and use the free trial for 30 days, then you need to pay for a subscription service. It costs $8.9/mo for an individual and $19.9/mo/user for business.
Source: medium.com

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

Social recommendations and mentions

Based on our record, Amazon SageMaker seems to be a lot more popular than DataGrip. While we know about 37 links to Amazon SageMaker, we've tracked only 1 mention of DataGrip. 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.

DataGrip mentions (1)

  • Which Is The Best PostgreSQL GUI? 2021 Comparison
    DataGrip is a cross-platform integrated development environment (IDE) that supports multiple database environments. The most important thing to note about DataGrip is that it's developed by JetBrains, one of the leading brands for developing IDEs. If you have ever used PhpStorm, IntelliJ IDEA, PyCharm, WebStorm, you won't need an introduction on how good JetBrains IDEs are. - Source: dev.to / about 3 years ago

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 / 1 day 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 1 month 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 / about 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 / 4 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: 12 months ago
View more

What are some alternatives?

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

DBeaver - DBeaver - Universal Database Manager and SQL Client.

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.

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

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.

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

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