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, developed by Altair Engineering, is a powerful data analysis and analytics platform designed to support users transitioning from traditional SAS language environments to open and modern ecosystems. Its core purpose is to execute programs written in SAS language syntax without requiring a base SAS license, which makes it particularly appealing to organizations looking to cut costs while maintaining compatibility with legacy analytics codebases. Key features of Altair SLC include its high-performance engine for running SAS language programs, support for open-source integration (notably Python and R), and its ability to deploy workflows in modern environments such as cloud, containers, and distributed infrastructures. The user interface of Altair SLC is built to facilitate seamless interaction for both traditional SAS programmers and modern data scientists. While the command-line and scripting environment remains familiar for experienced users, newer users benefit from an integrated development environment (IDE) that streamlines code writing, execution, and debugging. Navigation is straightforward, and code syntax highlighting, auto-completion, and real-time error detection tools are integrated to improve productivity.
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.
Features
Key features
- Complete SAS Language Replacement
- Runs programs written in SAS language and macro syntax without requiring translation or third-party licenses, ensuring seamless migration and continued use of existing SAS code.
- Multi-Language Support (Python, R, SQL, SAS)
- Allows users to combine program modules built in SAS language, Python, R, and SQL within a single, coherent platform, breaking down data science language barriers.
- Flexible Deployment Options
- Can be installed and used in the cloud (including Google Cloud Marketplace), on-premises, on mainframes, or in hybrid architectures, providing versatility for various IT infrastructures.
- High Productivity & Automation
- Offers low- and no-code tools, visual workflow development (with Altair Analytics Workbench), and assisted deployment through open web APIs to shorten development and deployment cycles.
- Extensive Data Access
- Connects to virtually any data source, including cloud services, Hadoop, data warehouses, databases, SAS language files, SPSS, Excel, CSV, and other file-based formats, with no limits on data volumes.
- Job Scheduling & Execution Pipelines
- When integrated with Altair SLC Hub, it allows for scheduling jobs at specific times and days, and visually building execution decision pipelines with defined rules and conditions.
- Seamless Migration Tools
- Provides code analysis tools to analyze thousands of SAS language programs quickly and offers expert support throughout the migration process (assessment, proof of concept, rollout).
Additional features
- Complete SAS Language Replacement
- Altair SLC's core functionality is a SAS language compiler that can run existing SAS programs, macros, and procedures (for statistics, time series, machine learning, graphing, ODS, etc.) without any translation or third-party SAS licenses.
- Multi-Language Support
- Integrates SAS language, Python, R, and SQL within a single environment, allowing users to combine code from different languages in the same program or workflow and seamlessly exchange data between them.
- Flexible Deployment Options
- Can be installed and deployed in various environments including on-premises, in the cloud (e.g., Google Cloud Marketplace), on mainframes, or in hybrid setups, accommodating diverse IT infrastructures.
- Extensive Data Access
- Connects to virtually any data source, including cloud services, Hadoop, data warehouses, various databases, SAS, SPSS, Microsoft Excel, CSV, and other file formats, with no limitations on data volume.
- High-Performance Computing
- Leverages advanced processing capabilities for large datasets, including support for SAS Cloud Analytics Services with SAS Viya connections and automatic detection/utilization of grid environments with SAS 9 connections.
- Low- and No-Code Tools
- Provides user-friendly interfaces and wizards to simplify data integration, preparation, analysis, and reporting, empowering business users who may not have extensive coding experience.
- Visual Workflow Development (with Altair Analytics Workbench)
- Integrates with Altair Analytics Workbench, an IDE that offers a drag-and-drop visual workflow builder for creating, maintaining, and executing programs and models.
- Robust Coding Environment (with Altair Analytics Workbench)
- Offers a sophisticated IDE within Analytics Workbench with a code editor, syntax highlighting, autocompletion, code templates, and project management facilities for those who prefer to write code.
- Data Exploration & Profiling (with Altair Analytics Workbench)
- Includes tools like a data profiler to explore and validate data, count missing values, display univariate statistics, and visualize correlations without writing code.
- No-Code Machine Learning Model Development (with Altair Analytics Workbench)
- Supports visual development of supervised and unsupervised machine learning models (e.g., decision trees, clustering, regression) with automatic code generation for production.
- Job Scheduling & Execution Pipelines (with Altair SLC Hub)
- When integrated with Altair SLC Hub, it enables scheduling of analytical jobs for specific times and days and allows users to visually build complex execution decision pipelines with defined rules and conditions.
- Easy Analytics Deployment (with Altair SLC Hub)
- Altair SLC Hub simplifies the deployment of analytical programs, models, and workflows as scheduled tasks or for on-demand execution by internal or external users.
- Expose Deployed Applications as APIs (with Altair SLC Hub)
- Provides point-and-click wizards within Altair SLC Hub to create RESTful APIs from deployed analytics, allowing easy integration with other applications and prompting users for inputs.
- Comprehensive Governance (with Altair SLC Hub)
- Offers robust features for managing users and controlling access to data sources and deployed applications, including audit logs for user actions and synchronization via LDAP with Active Directory Services.
- Seamless Migration Tools
- Includes code analysis tools that can quickly assess thousands of SAS language programs for compatibility, along with expert support for the complete migration process (assessment, proof of concept, rollout).
- Output Delivery System (ODS) Support
- Generates formatted output in various destinations like HTML, PDF, and RTF, allowing for flexible reporting.
- Secure Data Access
- Implements centralized, IT-managed role-based security to ensure that users have appropriate and secure privileges for accessing corporate data.
- DevOps Streamlining
- Facilitates smoother development and operations workflows with assisted deployment through open web APIs and simplified end-to-end analytics processes.
- Community and Support Resources
- Offers access to a community forum, technical documents, webinars, how-to channels, and direct support for assistance.
- VSCode Extension
- Provides an extension for Visual Studio Code, allowing users to start SLC sessions, submit SAS language programs, view logs and ODS output, and browse datasets within the VSCode environment, including Notebook support.
Pricing
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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
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
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.
Altair SLC's Support Options
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