Top 10 OPUS Alternatives & Competitors

Top 10 Alternatives to OPUS Recently Reviewed By G2 Community

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SAS Viya
By SAS Institute Inc.
4.3/5
(728)
Product Description
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.
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Categories in common with OPUS:
MLOps Platforms
Data Science and Machine Learning Platforms
Machine Learning

Vertex AI
By Google
4.3/5
(651)
Product Description
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.
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Categories in common with OPUS:
MLOps Platforms
Data Science and Machine Learning Platforms
Machine Learning

SAP HANA Cloud
By SAP
4.3/5
(593)
Product Description
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.
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Categories in common with OPUS:
MLOps Platforms
Data Science and Machine Learning Platforms
Machine Learning
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Alteryx
By Alteryx
4.6/5
(671)
Product Description
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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Categories in common with OPUS:
Data Science and Machine Learning Platforms
Machine Learning

Databricks
By Databricks Inc.
4.6/5
(660)
Product Description
Making big data simple
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Categories in common with OPUS:
MLOps Platforms
Data Science and Machine Learning Platforms

Spotfire Analytics
By Spotfire
4.2/5
(363)
Product Description
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
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Categories in common with OPUS:
Data Science and Machine Learning Platforms
Machine Learning

Automation Anywhere
By Automation Anywhere
4.5/5
(5,547)
Product Description
Automation Anywhere Enterprise is an RPA platform architected for the digital enterprise.
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Categories in common with OPUS:
Machine Learning

Salesforce Platform
By Salesforce
4.5/5
(3,971)
Product Description
Platform as a Service (PaaS) eliminates the expense and complexity of evaluating, buying, configuring, and managing all the hardware and software needed for custom-built applications.
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Categories in common with OPUS:
No-Code Development Platforms

Airtable
By Airtable
4.6/5
(3,212)
Product Description
Airtable is the all-in-one collaboration platform designed to combine the flexibility of a spreadsheet interface with features like file attachments, kanban card stacks, revision history, calendars and reporting.
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Categories in common with OPUS:
No-Code Development Platforms

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