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About Altair SLC

Altair SLC is a software platform from Altair Engineering that supports machine learning model lifecycle management. It provides capabilities for version control, monitoring, and collaboration so teams can manage their models effectively. This platform allows data scientists and engineers to track changes, share insights, and maintain model integrity throughout its lifecycle. Altair SLC features advanced tracking for model performance, tools for collaborative projects, and integration with existing data pipelines. Key capabilities: version control model monitoring collaboration tools integration support performance tracking Best for: data science teams that need to manage and maintain machine learning models efficiently.

Altair SLC Details

Vendor
Altair Engineering
Year Launched
1985
Location
2100 Shattuck Ave, Berkeley, California 94704, US
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online, in person
Countries Served
All Countries.
Languages
English, French, German, Italian, Japanese, Korean, Portuguese, Spanish
Users
Data scientists, IT professionals, Business analysts, Developers, Engineers, Statisticians, SAS programmers, Analytics teams, Operations researchers, Academic researchers
Industries Served
Aerospace, Automotive, Architecture, Engineering & Construction (AEC), Consumer Goods, Defense, Electronics, Energy, Financial Services, Healthcare & Life Sciences, Heavy Equipment, Industrial Machinery, Marine, Process Manufacturing, Rail, Semiconductors, Technology, Weather & Climate
Tags
Data Analysis, Data Mining, Machine Learning, Altair Engineering

Altair SLC's In-App Market Place

Does Altair SLC have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr)

Pros & Cons

  • Multi-Language Support: Runs SAS, Python, R, and SQL, ideal for diverse data science teams.
  • SAS Compatibility: Executes most SAS language programs without translation.
  • Flexible Deployment: Cloud, on-premises, mainframe, or hybrid options.
  • Data Access: Connects to virtually any data source.
  • Strong Support: Praised for responsive and helpful customer service.
  • Partial SAS Parity: Not 100% compatible with all obscure SAS functions or options.
  • Performance Considerations: Can be slow with specific external data sources (e.g., Snowflake).
  • Minor Workflow Quirk: Requires using "workspaces" which can be a small inconvenience.

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