Sold by: Ascendion
AscendQuery is an AWS-native GenAI platform that converts plain-language questions into SQL queries against Amazon RDS, Aurora, or Redshift, enabling self-service analytics without SQL expertise.
Overview
AscendQuery: AI-Powered Natural Language to SQL for Enterprise Analytics
AscendQuery is a professional services engagement that delivers an AI-powered, AWS-native analytics solution enabling business users to ask questions about enterprise data in natural language and receive immediate, actionable insights - without writing SQL or waiting for reports.
The Challenge
Organizations struggle with delayed reporting cycles, growing analytics backlogs, and heavy dependence on technical teams for routine data requests. Business users in finance, sales, operations, customer service, and leadership often wait days for answers that should take seconds.
How It Works
AscendQuery transforms natural language questions into accurate, schema-aware SQL queries executed against your existing AWS data infrastructure:
- Supported databases: Amazon RDS, Amazon Aurora, and Amazon Redshift
- AI engine: Amazon Bedrock powers context-aware query generation
- Interface: Intuitive conversational experience for ad hoc data exploration
Users simply type business questions in plain language, and AscendQuery generates optimized SQL, executes it securely, and returns results in real time.
Industry Use Case: Retail Finance
A retail finance team can ask AscendQuery questions like "What were our top 10 products by gross margin last quarter?" against their Aurora database. Instead of submitting a ticket to the data team and waiting days for a dashboard update, the finance analyst receives an immediate answer - enabling faster pricing decisions and margin optimization.
Engagement Structure
This professional services engagement follows a structured delivery model:
- Phase 1 - Discovery and Scoping (1-2 weeks): Assessment of existing data infrastructure, schema review, identification of priority use cases, and definition of access control requirements.
- Phase 2 - Configuration and Deployment (2-4 weeks): Schema mapping, AI model configuration, integration with target databases (RDS, Aurora, or Redshift), IAM policy setup, and deployment of the serverless architecture within the buyer's AWS account.
- Phase 3 - Validation and Training (1-2 weeks): Query accuracy testing, user acceptance testing, end-user training sessions, and documentation delivery.
Deliverables include: Deployed AscendQuery instance, configured schema mappings, access control policies, query audit logging, user training materials, and administration documentation.
Prerequisites and Scope
- Active AWS account with Amazon RDS, Aurora, or Redshift databases
- Database schemas must be accessible via standard SQL metadata
- Buyer provides IAM permissions and network access to target databases
- Buyer designates a technical point of contact (DBA or data engineer) for schema access
Enterprise Governance and Security
- Role-based access controls via AWS IAM
- Query auditing and logging for compliance visibility
- Data remains within the buyer's AWS account
- Encryption in transit via TLS and at rest via AWS-managed encryption
- No customer data is stored outside the buyer's environment
Key Benefits
- Reduce analytics backlogs: Enable business users to self-serve routine data questions
- Lower BI licensing costs: Reduce dependency on additional analytics platforms
- Accelerate decisions: Shorten the path from question to insight from days to seconds
- Maintain governance: Enterprise-grade access controls and audit trails
To get started, request a guided demo or schedule a discovery call to assess your environment and define a proof-of-concept scope.
Highlights
- Enable self-service analytics with Natural Language to SQL. AscendQuery converts plain-language business questions into optimized SQL queries, helping non-technical users access insights without depending on SQL experts, dashboards, or manual report development.
- Built on AWS-native architecture for security, scalability, and governance. The solution uses AWS services such as Lambda, API Gateway, Bedrock, RDS, Redshift, and IAM, with support for access control, query auditing, and enterprise governance requirements
- Reduce analytics cost and accelerate decision-making. AscendQuery works with existing AWS data infrastructure, lowers dependency on additional BI tools or external platforms, and helps teams move from data questions to actionable insights faster
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Engagement and Support
Ascendion's team of 250+ certified AWS professionals delivers and supports AscendQuery implementations.
Getting Started:
- Schedule a discovery call to assess your environment and define proof-of-concept scope
- Request a guided demo with your own schema to evaluate fit
- Contact us: https://ascendion.com/contact-us/
- Email: globalalliances@ascendion.com
Engagement Delivery:
The engagement follows three phases - Discovery and Scoping, Configuration and Deployment, and Validation and Training. Your team will need to provide a technical point of contact (DBA or data engineer) for schema access and IAM permissions to target databases.
Post-Deployment Support:
After deployment, Ascendion provides support for issues including solution configuration, query troubleshooting, schema updates, and user access management. Contact the team via email or the contact portal for assistance.
For questions about the engagement scope, timeline adjustments, or refund requests, reach out to globalalliances@ascendion.com .