Sold by: DataOps.liveÂ
Deployed on AWS
DataOps.live, Data Products Done Right
Deliver data products at the speed and scale your business demands.
DataOps.live, the Data Products company, delivers productivity breakthroughs for data teams by enabling agile DevOps automation (#TrueDataOps) and a powerful Developer Experience (DX) for modern data platforms.
The DataOps.live SaaS platform brings automation, orchestration, continuous testing, and unified observability to deliver the Data Products you want at the speed the business needs.
Get trusted insights to business stakeholders faster and more efficiently with DataOps.live for Snowflake.
Overview
The right data for the business with Snowflake and DataOps.live
DataOps.live is a unique platform for Snowflake environment management, delivering end-to-end orchestration, Continuous Integration/Continuous Deployment (CI/CD), automated testing and observability, and code management, all wrapped in an elegant interface.
Do data products right with DataOps.live Build, test, and deploy Data Products and Applications successfully on Snowflake with:
Environment Automation: manage Snowflake infrastructure as configuration & code. Deploy & lifecycle manage data applications & products.
Pipeline Orchestration: build end-to-end pipelines in minutes in DataOps.live, or orchestrate tools you're already using to ingest, model & test your data.
Federated Deployment: deliver data engineering at scale, leveraging design patterns like Data Mesh or Data Vault easily and enterprise-wide.
Unified Observability: collect, unify, manage, and share operational metadata to provide a 360-degree perspective on your data products.
Data Product Management: full lifecycle management for data products
Developer Experience: develop, test, debug, validate, and execute all Snowflake workloads in an easy-to-use, development-ready environment
Take charge of your data while balancing agility and governance Offering a unique combination of speed and agility, DataOps.live enables you to drive maximum value from your data, without sacrificing governance. It means faster development, parallel collaboration, developer productivity, data assurance, simplified orchestration, and more effective data product lifecycle management.
NEW OFFER - With DataOps.live Professional Edition, you can securely move your dbt Core™ projects into a fully supported environment and immediately benefit from a comprehensive DataOps platform.
For custom pricing or a private offer, contact marketplace@dataops.liveÂ
Want to get started building Data Products? Sign up for a free trial at www.dataops.live or connect with the team on LinkedIn or Twitter.
(dbt Core is a trademark of dbt Labs, Inc.)
Highlights
- Supercharge your data engineering team
- 5x Faster time to market/value
- >40% Productivity savings
Details
Sold by
Delivery method
Deployed on AWS
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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 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/month |
|---|---|---|
DataOps.live - Snowflake Developer | 1 Full Developer User of DataOps.live for Snowflake (All Access) | $1,000.00 |
DataOps.live - Snowflake Operator | 1 Operator User of DataOps.live for Snowflake (Non-Developer Access) | $500.00 |
DataOps.live - Professional Edition | 10 users of DataOps.live for Professional Edition | $995.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Resources
Support
Vendor support
Email support is offered Monday - Friday during normal business hours
support@dataops.liveÂ
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 DataOps.live
By Coalesce
By Composable Analytics, Inc.
Top
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In Databases & Analytics Platforms, Data Analytics, Continuous Integration and Continuous Delivery
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Environment Management
Automated Snowflake infrastructure management using configuration and code deployment
Pipeline Orchestration
End-to-end data pipeline construction and tool integration for data ingestion, modeling, and testing
Continuous Integration/Deployment
Comprehensive CI/CD capabilities for data engineering workflows with automated testing and code management
Observability Framework
Unified metadata collection and management providing comprehensive operational insights across data products
Development Workflow
Integrated development environment supporting Snowflake workload development, testing, debugging, validation, and execution
Data Transformation Architecture
Builds directed acyclic graphs (DAG) with nodes that run on scheduled transformations and produce tested datasets
Metadata Management
Utilizes column and table-level metadata for designing and deploying data warehouses with standardization and granular data modeling
Enterprise Scalability
Architected to handle large-scale data environments with thousands of tables and complex transformation requirements
Change Management Workflow
Tracks past, current, and desired deployment states of data warehouse with comprehensive visibility and control mechanisms
Data Modeling Capabilities
Enables column-level understanding and supports data patterns through template-based transformation design
Data Connectivity
Supports integration across multiple database technologies, cloud services, applications, data warehouses, and SaaS services with machine learning-driven data curation
Visual Development Environment
Intuitive dataflow visual designer enabling end-to-end data operations and analytics workflow creation
Distributed Architecture
Multi-machine and scale-out deployment capability with system components distributed across multiple server nodes
Access Management
Fine-grained access control mechanisms for data, methods, and results with comprehensive audit trail and real-time alerting capabilities
Application Development
Low-code full-stack web application development framework with integrated data-driven development approach
Standard contract
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