Data Conversations
Data Conversations is a natural language interface from Adverity, a London-based data integration platform founded in 2016.
Publisher review
Data Conversations is a natural language interface from Adverity, a London-based data integration platform founded in 2016. It is designed for mid-sized to large organizations that manage complex, multi-channel data environments and need to make data accessible to non-technical team members. The tool allows users to ask questions in plain English and receive immediate insights without writing SQL queries, empowering anyone in the organization to explore data independently. It is particularly suited for highly data-driven teams looking to scale, with a focus on marketing, sales, and operational analytics across hundreds of data sources.
Data Conversations uses large language models (LLMs) to process natural language requests. Specifically, Adverity leverages OpenAI’s GPT-5 model (starting from release 2026.06, previously GPT-4.1) to generate SQL queries based on column names and database metadata. The actual data remains within Adverity’s secure environment, and no personal data is shared with external providers. For EU customers, Adverity uses Microsoft’s Azure OpenAI Service hosted in the EU to comply with data residency requirements. Responses can include text explanations, data tables, and visualizations (bar or line charts), with a limit of 10,000 rows per query. All conversations are saved automatically and can be organized into notebooks for sharing insights.
Adverity positions Data Conversations as a sophisticated, fully-integrated data platform compared to entry-level tools like Supermetrics, which offers only 140+ prebuilt connectors versus Adverity’s 600+. It also competes with Windsor.ai, Airbyte, Fivetran, Funnel.io, Improvado, Hevo Data, and Talend. Adverity supports 28+ destinations, AI-assisted data transformations (including an AI Transformation copilot and dbt integration), and robust data governance features such as data quality monitoring and central access management. The platform supports both ETL and ELT workflows with automated scheduling for data pipelines.
However, Data Conversations comes with significant trade-offs. The cost is high, with pricing starting around $200,000 on Azure or a $420/year alternative, and custom quotes are required through sales calls with no price transparency. The data visualization suite is limited compared to dedicated BI tools, and performance can lag with large datasets. Custom data source connectors can be slow to build, and database destinations incur additional high costs. These factors make it less suitable for small teams or those with limited budgets, despite its powerful conversational AI and extensive connector ecosystem.
How it works
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Natural language interface
Users ask questions in plain English to explore data without SQL knowledge, receiving immediate insights.
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AI-assisted data transformations
Prebuilt templates and an AI copilot generate or edit transformations, with options for custom code and dbt integration.
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600+ data connectors
Integrates with over 600 data sources and 28+ destinations, covering marketing, sales, and operational platforms.
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Data quality monitoring
Built-in governance features allow teams to monitor data quality and centrally manage access permissions.
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Automated pipeline scheduling
Supports ETL and ELT workflows with automated scheduling to keep data pipelines running on a regular cadence.
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Conversational AI querying
Uses GPT-5 to generate SQL queries from natural language, executed securely without exposing raw data to external LLMs.
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Visualizations and tables
Responses include bar or line charts and data tables, with a 10,000-row limit per query for clarity.
Strengths and trade-offs
Strengths
- Extensive connector library with over 600 prebuilt data sources and 28 destinations, covering a wide range of marketing and business platforms.
- Powerful AI-assisted data transformations with prebuilt templates, an AI copilot, and support for custom code and dbt integration.
- Robust data governance features including data quality monitoring and centralized access management for enterprise compliance.
- Conversational AI enables non-technical users to query data in plain English, generating SQL queries via GPT-5 without exposing raw data.
Trade-offs
- High cost with pricing starting around $200,000 on Azure or $420/year alternative, and no transparent pricing available without a sales call.
- Limited data visualization suite compared to dedicated BI tools, restricting advanced charting and dashboard customization.
- Potential performance lags when handling large datasets, impacting real-time query responsiveness.
- Custom data source connectors can take weeks to build, and database destinations incur additional high costs.
Pricing context
Custom quotes via sales calls; reported at $200,000 on Azure or $420/year alternative. No public tiered pricing.
Getting started with Data Conversations
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Sign up for Adverity
Visit the Adverity website and request a demo or custom quote through the sales contact form. A sales representative will reach out to discuss your organization's needs and provide access credentials to the platform.
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Connect your data sources
Navigate to the data source configuration section and select from over 600 prebuilt connectors. Authenticate each source by providing API keys or login credentials, then map the required fields to Adverity's schema.
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Set up data transformations
Use the AI Transformation copilot to define data cleaning or enrichment rules. Choose from prebuilt templates or write custom code, and optionally integrate with dbt for advanced transformation workflows.
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Ask a question in plain English
Open the Data Conversations interface and type a natural language query, such as 'Show monthly sales by region for Q1'. The system generates a SQL query using GPT-5 and returns results as a table or chart.
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Schedule automated data pipelines
Configure the pipeline scheduler to run ETL or ELT workflows at regular intervals. Set the frequency, select the data sources and destinations, and enable automated execution to keep insights current without manual intervention.
Frequently Asked Questions
What is Data Conversations and how does it work?
Data Conversations is a natural language interface from Adverity that lets users ask questions in plain English to explore data. It uses OpenAI's GPT-5 model to generate SQL queries from column names and metadata, returning insights as text, tables, or charts.
How much does Data Conversations cost?
Data Conversations pricing is not publicly listed and requires a sales call for a custom quote. Reported costs include around $200,000 on Azure or a $420/year alternative, making it expensive and less suitable for small teams or limited budgets.
Who is Data Conversations designed for?
Data Conversations is designed for mid-sized to large organizations with complex, multi-channel data environments. It targets non-technical team members in marketing, sales, and operations who need to access data independently without writing SQL queries.
What data connectors does Adverity Data Conversations support?
Adverity Data Conversations supports over 600 prebuilt data connectors and 28+ destinations, covering marketing, sales, and operational platforms. This extensive library surpasses entry-level tools like Supermetrics, which offers only 140+ connectors.
How does Data Conversations handle data security and privacy?
Data Conversations keeps data within Adverity's secure environment and does not share personal data with external providers. For EU customers, it uses Microsoft's Azure OpenAI Service hosted in the EU to comply with data residency requirements.
What are the main limitations of Data Conversations?
Key limitations include high cost starting around $200,000, limited visualization compared to dedicated BI tools, potential performance lags with large datasets, and slow custom connector development. Database destinations also incur additional high costs.
Alternatives
How Data Conversations compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Data Conversations
- Pricing
- Custom quotes via sales calls; reported at $200,000 on Azure or $420/year alternative. No public tiered pricing.
- Target
- Data Conversations is a natural language interface from Adverity, a London-based data integration platform founded in 2016.
- Strength
- Extensive connector library with over 600 prebuilt data sources and 28 destinations, covering a wide range of marketing and business platforms.
- Watch for
- High cost with pricing starting around $200,000 on Azure or $420/year alternative, and no transparent pricing available without a sales call.
Gong
- Pricing
- Custom/Contact sales (typically $100+/user/month)
- Target
- Enterprise sales teams needing deep deal risk analytics and coaching.
- Deployment
- Cloud, desktop recorder
- Strength
- Revenue intelligence with multi-channel capture (calls, email, Slack).
- Watch for
- High cost and complex setup reported by mid-market buyers.
Chorus
- Pricing
- Custom/Contact sales (estimated $75-$150/user/month)
- Target
- Sales teams focused on call recording and AI-driven coaching.
- Deployment
- Cloud, desktop recorder
- Strength
- AI-powered call analysis with automated CRM updates and coaching.
- Watch for
- Acquired by ZoomInfo; integration changes and pricing shifts reported.
HeySam
- Pricing
- Custom/Contact sales (typically $50-$100/user/month)
- Target
- Sales teams needing multi-channel intelligence and live call assist.
- Deployment
- Cloud, desktop recorder
- Strength
- Video summaries and deep Slack integration for real-time risk signals.
- Watch for
- Smaller user base; fewer third-party integrations than Gong.
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Sources
Reporting on this tool draws on these publicly available sources.