Top Rated DataMacaw Scarlet Platform Alternatives
(22)
4.7 out of 5
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WK
Winsye K.
Project Strategy Director
Government Administration
Small-Business(50 or fewer emp.)
What do you like best about DataMacaw Scarlet Platform?
DataMacaw Scarlet Platform has been beneficial for cheap AI model building and training. It harnesses prudent allocation of resources to harness the GPUs, making the training costs drastically cheaper than the conventional, on-premises options. Review collected by and hosted on G2.com.
What do you dislike about DataMacaw Scarlet Platform?
DataMacaw does not have provisions for - live project sharing or version control for live programs as well as collaborative model building. This negatively affects the interaction within my team members and slows down the machine learning process. Review collected by and hosted on G2.com.
1 out of 2 Total Reviews for DataMacaw Scarlet Platform
4.5 out of 5
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EA
Erick A.
Senior Project Analyst
Education Management
Mid-Market(51-1000 emp.)
What do you like best about DataMacaw Scarlet Platform?
The DataMacaw Scarlet Platform has been useful for me with regards to my machine learning pursuits. The opportunity to use GPU spot instances in the AWS cloud for training has reduced my costs by orders of magnitude, which enabled me to try more complex models. Review collected by and hosted on G2.com.
What do you dislike about DataMacaw Scarlet Platform?
DataMacaw Scarlet is not especially well endowed for managing datasets and really lacks appropriate version control capabilities. It is also very difficult to keep a version history of datasets and easily restore to previous versions, if and whenever needed. Review collected by and hosted on G2.com.
There are not enough reviews of DataMacaw Scarlet Platform for G2 to provide buying insight. Below are some alternatives with more reviews:
1
Snowflake
4.5
(584)
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
2
SAP HANA Cloud
4.3
(513)
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
3
Vertex AI
4.3
(513)
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging.
Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster.
If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
4
SAS Viya
4.3
(410)
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
5
Databricks Data Intelligence Platform
4.6
(404)
Making big data simple
6
Saturn Cloud
4.8
(295)
Saturn Cloud is a data science and machine learning platform for scalable Python analytics with Dask and GPUs, on hosted notebooks. Share work and dashboards, access Your favorite Python libraries, connect from existing cloud-hosted services, and more.
7
IBM Watson Studio
4.2
(163)
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale.
8
SuperAnnotate
4.9
(145)
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.
9
Statsig
4.7
(111)
Statsig is a complete platform for experimentation, feature flagging, product analytics, session replays, and more, trusted by more than 3,000 companies around the world - including OpenAI, Notion, Figma, Atlassian, and Brex. All of Statsig's products are powered by a single of data and infrastructure, and can be run in your data warehouse. Statsig can help you... - Iterate Faster: Turn ideas into tests or scale your current experimentation program with the world’s most powerful experimentation infrastructure & stats engine. - Ship Smarter: Speed up releases without increasing risk. Link every release to product data for automated alerts and guardrails, then give your whole team the power to ship and watch the magic happen. - Learn more from your data: Empower every stakeholder on your team — from Product to Engineering to Data —with unified analytics, backed by one set of data and a full set of product analytics tools. The Statsig team has worked helped build data-driven cultures at some largest enterprises in the world - and we're here to help you, wherever you are on your journey. And no matter how big (or small) you are, our tools will scale to meet your needs and help you cut spend. Are you ready to start your data-driven journey?
10
JFrog
4.3
(92)
The JFrog Platform is an end-to-end, hybrid, and universal binary-centric solution that continuously manages and secures your entire software supply chain from source to edge. We empower developers to be more efficient using JFrog’s services, Artifactory, Xray, Distribution, Pipelines, and Connect on a single unified platform. The JFrog Platform is an enterprise-grade solution that handles the scale of the largest development organizations in the world. The JFrog family of products includes:
JFrog Artifactory:
-Provides definitive artifact management for flexible development and trusted delivery at any scale. The industry leader.
JFrog Xray:
-The industry’s only DevOps-Centric Security solution offers protection across your supply chain and is integrated seamlessly with Artifactory and the other JFrog products for a single point of management and security.
JFrog Pipelines:
-Integrates with the leading CI/CD tools to manage all software pipelines in a single place with additional event triggers and easy-to-use templates.
JFrog Distribution and JFrog PDN:
-Creates trusted software releases and gets them where they need to be, fast. Handles the highest scale of throughput and consumption.
JFrog Connect:
-A comprehensive solution for updating, managing and monitoring software applications on Linux-based edge and IoT devices.
JFrog Mission Control & Insights:
-Enhances control over your JFrog Platform deployment with access to key metrics.
DataMacaw Scarlet Platform Categories on G2
