DataLine vs Tellius
DataLine
dataline.appTellius
tellius.comSide by side
| Figure | DataLine | Tellius |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 2 |
| Spec score · Agentic Analytics Software | 7.8 (#6) | 7.4 (#10) |
| Data sources | The project lists connections to Postgres, Snowflake, MySQL, Azure SQL Server, Microsoft SQL Server, Excel, SQLite, CSV, and sas7bdat. | Tellius lists Snowflake, Databricks, Redshift, and BigQuery connectors, plus ingestion of PDFs, call notes, transcripts, and management commentary. |
| Deployment | The project offers downloadable binaries and a Docker image, and says Docker is more suitable for business use. | Tellius lists deployment on customer cloud, on premises, or Tellius Cloud for Enterprise. |
| Intended users | The site describes DataLine as useful for non-technical people querying data and developers seeking a text-to-SQL solution. | Tellius identifies Pharma, CPG, FP&A, RevOps, and Data & Analytics teams as audiences for the product. |
| Product | DataLine is an AI data analysis and visualization tool that lets users chat with data to generate tables, charts, and dashboards. | Tellius describes itself as Decision AI for the enterprise, connecting business data to decisions and delivering finished work. |
| Support | The privacy policy provides [email protected] for questions about privacy or data practices. | The pricing page lists email and web technical support for Premium, technical support included for Enterprise, a self-service knowledge base, and Tellius Academy training. |
Plans
In their own words
DataLine
DataLine is an AI tool for querying data in natural language and turning results into tables, charts, dashboards, and reports. It can generate and execute SQL from prompts, then lets users edit, save, and rerun the SQL results; chart queries can also be edited and refreshed. Listed connections include Postgres, Snowflake, MySQL, Azure SQL Server, Microsoft SQL Server, Excel, SQLite, CSV, and sas7bdat. The project is open source under GPL-3.0 and offers a free plan, with binaries and a Docker image for installation. It runs on Linux, macOS, Windows, web, and self-hosted environments. The maker says data is accessed and stored on the user's device rather than in cloud storage, and the README says data is hidden from the LLMs used by default. Docker is described as more suitable for business use. Self-hosted mode has basic username and password authentication, while the executable does not; the current setup supports one user. Excel sheets are imported as separate tables, and the import fails if any sheet fails.