Sold by: UpriverÂ
Deployed on AWS
Upriver ensures data integrity by preventing bad data at the source and maintaining accountability for data quality across your organization. With automated data contracts and centralized governance, Upriver helps businesses save time and ensure reliable, high-quality data from the start.
Overview
Upriver is a proactive data quality platform built to prevent bad data at the source. By automating data contracts, enforcing version control, and ensuring data consistency, Upriver empowers businesses to maintain impeccable data quality across their entire pipeline. Our platform connects to your data sources and uses advanced analysis, semantic understanding, and lineage tracking to build a comprehensive knowledge graph.
With Upriver, teams can collaborate seamlessly and proactively address data issues before they impact your business. By analyzing and profiling data, Upriver detects potential issues early, giving you the ability to act before they become problems. Our platform oversees SLAs, manages governance, and integrates with CI/CD pipelines, providing full control and visibility. This makes data quality management more efficient, reliable, and proactive than ever.
Highlights
- Prevents bad data at the source: Upriver proactively addresses data quality issues early, ensuring that only accurate and reliable data flows through your systems. This helps reduce costly errors, streamline processes, and enhance decision-making.
- Automates data contracts: Automatically create and enforce data contracts to assign ownership, and govern data quality with collaboration across teams, ensuring consistent data management.
- Ensure consistency across environments: Upriver's profiling and environment diff tools enable maintaining data integrity across staging and production, allowing for proactive governance and reliable data performance.
Details
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Features and programs
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Upriver | Upriver Platform Fee | $35,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Upriver
By Collibra
By Foundational
Top
100
In Data Governance
Top
10
In Data Catalogs, Data Governance
Top
25
In Monitoring and Observability
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AI generated from product descriptions
Data Profiling
Advanced data analysis and semantic understanding to detect potential data quality issues early
Data Lineage Tracking
Comprehensive knowledge graph creation to trace data sources, transformations, and dependencies
Data Contract Management
Automated creation and enforcement of data contracts with version control mechanisms
Governance Integration
Seamless integration with CI/CD pipelines for centralized data quality oversight and management
Environment Consistency
Profiling and differential analysis tools to maintain data integrity across multiple environments
AI Governance
Provides active metadata-driven governance framework for AI strategies with rules, processes, and responsibilities to mitigate risks and ensure ethical AI practices
Data Catalog Management
Enables comprehensive discovery and understanding of data assets across hybrid and multi-cloud environments with full business context and metadata insights
Automated Data Lineage
Offers end-to-end lineage tracking with complete transparency into data transformation and flow across systems, including summary-level and technical lineage details
Privacy Workflow Automation
Centralizes and automates privacy workflows to address global regulatory requirements and encourage collaborative data protection
Data Quality Management
Replaces manual processes with automated data monitoring and rule management to scale data quality across enterprise environments
Code Analysis
Utilizes advanced code analysis techniques to detect potential data incidents before deployment
AI-Powered Dependency Mapping
Employs artificial intelligence to automatically uncover and map hidden dependencies across data platforms and teams
Data Lineage Tracking
Provides comprehensive tracking of data lineage across multiple organizational tools and platforms
Automated Pipeline Monitoring
Enables real-time analysis and monitoring of data pipeline status and interdependencies
Continuous Integration Governance
Integrates with git and CI systems to automate data governance and quality management processes
Standard contract
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