TextQL
AI data analyst agents for querying connected databases and managing collaborative analysis.
About TextQL
TextQL is an AI data analytics platform centered on data analyst agents for complex databases, tables, and data lakes. It connects data systems and business tools so analysts can investigate ad hoc questions through agents with conversation memory and semantic-layer access. Analyst suits individual prototyping: its base price is $0 plus compute, with three seats, one concurrent agent, standard compute, unlimited connectors, and $100 in monthly credits. Team adds unlimited seats and agents, permission-aware memory and ontology, SSO, compliance features, and priority support. Enterprise covers dedicated infrastructure, advanced security, on-premises or bring-your-own-cloud deployment, model fine-tuning, migration assistance, and account management. The pricing needs a close look because compute is extra on every tier; even Analyst works against a monthly credit allowance. TextQL is a practical fit for teams that want agent-led analysis across existing systems. Organizations with stricter infrastructure controls can discuss deployment in their own AWS, Azure, or GCP environment.
Best for
Best use cases
Use Analyst when testing database connections and occasional agent-led questions within the included credit allowance.
Choose Team when many colleagues need simultaneous agents, SSO, permissions, and faster support.
Discuss Enterprise when workloads require on-premises infrastructure, a customer VPC, model tuning, or migration assistance.
Compare before choosing
Analyst removes the monthly base fee, but usage beyond its $100 credit allowance creates compute cost.
Team costs $250 plus compute and trades a higher base fee for unlimited users, concurrency, permissions, and compliance features.
Enterprise replaces a listed price with a sales process and adds deployment control, dedicated infrastructure, and managed assistance.
Features
Ad hoc data analysis
Connect databases and explore one-off analytical questions with a data analyst agent and conversation memory.
Collaborative analytics
Give a larger team concurrent agents, permission-aware memory and ontology, SSO, and shared analytical workflows.
Controlled private deployment
Run TextQL within an organization-controlled VPC or on premises for compliance-sensitive and mission-critical workloads.
Pros
- Analyst has no monthly base fee and includes $100 in credits for prototyping and light analysis.
- Team supports unlimited seats and concurrent agents, reducing access and queue constraints for larger groups.
- Enterprise supports on-premises and customer-cloud deployment for organizations that need infrastructure control.
Cons
- Every plan adds compute charges, so the listed base price is not the complete operating cost.
- Analyst is limited to three seats and one concurrent agent, which can constrain shared team workflows.
- Enterprise pricing requires a sales conversation, reducing budget predictability during early evaluation.
Pricing Plans
Analyst
- $100 per month in free credits
- 3 seats
- 1 concurrent agent
- Standard compute
- Unlimited connectors
- All integrations, including Slack, dbt, Tableau, and Teams
- Unlimited semantic layer queries
- Ontology builder
- Conversation memory
- Secrets manager
Team
- $250 per month in credits at $0.003 per ACU, about 83,000 ACUs
- Unlimited seats
- Unlimited concurrent agents
- Flexible compute instances
- Memory with permissions
- Ontology with permissions
- SSO and team collaboration
- SOC 2 compliance
- HIPAA compliance
- Priority support with a one-hour response
Enterprise
- Everything in Team
- Dedicated infrastructure
- Advanced security
- On-premises and bring-your-own-cloud deployments
- Custom model fine-tuning
- Migration assistance
- Dedicated account manager
* Pricing information is for reference only. Please refer to the latest announcement on TextQL's official website.