Sold by: AscendÂ
Use the Ascend enterprise-grade data engineering platform to ingest, build, run and govern data pipelines with 95% less code. It openly integrates with most data sources and AI / ML platforms for automated end-to-end data operations.
Overview
Built for data data engineers by data engineers to evolve modern data pipelines beyond complex ETL and brittle solutions, the Ascend Data Automation Cloud boosts data teams to drive innovation and deliver insights 10x faster than their competition. Ascend's DataAware™ core tunes pipelines for optimal efficiency and dynamically adapts to changes in data, code, and environment.
Highlights
- Ascend.io enables engineers, analysts and data scientists to swiftly build and run data pipelines, driving the use of data within the business. Even citizen data users can ingest data faster and significantly improve productivity.
- Ascend continuously optimizes data pipelines and infrastructure with dynamic resourcing, proactive data persistence, advanced de-duplication, and automatic backfills. It continuously monitors code and data, and keeps pipelines up-to-date and running.
- Ascend.io automates the full lifecycle of modern pipelines, from ingestion through to delivery, with fully automated governance and optimization. Pipelines no longer require deep programming skills in Spark, scripting tools, or various notebooks.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Ascend Usage (Each unit is 1 cent of usage) | $0.01 |
Vendor refund policy
Please see seller website for refund details.
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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.
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Support
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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.
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Data Pipeline Automation
Enables automated end-to-end data pipeline creation with minimal code requirements
Dynamic Resource Optimization
Continuously optimizes data pipelines and infrastructure with dynamic resourcing and proactive data persistence
Multi-Platform Integration
Openly integrates with most data sources and AI/ML platforms for comprehensive data operations
Advanced Data Processing
Implements automatic backfills, advanced de-duplication, and continuous monitoring of code and data
Governance Framework
Provides fully automated governance across the entire data pipeline lifecycle from ingestion to delivery
Data Warehouse Technology
Built on ClickHouse, a high-performance columnar database management system
Real-time Data Ingestion
Capable of ingesting millions of events per second from over 100 data sources including Snowflake, Kafka, S3, and Databricks
Data Pipeline Management
Supports declarative code-based pipeline definition with version control and CI/CD integration
AI-Powered Data Transformation
Automatically converts unstructured data like documents and logs into queryable SQL tables
API Query Generation
Enables direct transformation of SQL queries into scalable API endpoints without additional backend development
Workflow Orchestration
Advanced platform for automating and monitoring data pipelines with real-time visibility and performance tracking
Pipeline Management
Supports ETL/ELT workflows with automated error recovery and seamless cloud environment integration
Machine Learning Optimization
Enables scalable machine learning workflow management with data movement and performance enhancement capabilities
Python-Native Development
Workflow creation and management directly implemented using Python with minimal code complexity
Observability Framework
Comprehensive system for visualizing data workflows, identifying bottlenecks, and ensuring reliability across entire data infrastructure
Standard contract
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