Hex vs Seek AI

Hex is a hosted data platform for exploring data, asking questions, and building data applications through notebooks and conversational self-service. It supports SQL, Python, and R, with real-time collaboration and version history. Users can connect data warehouses and local TXT, CSV, JSON, Parquet, Avro, and XLSX files, as well as metadata, semantic-layer, catalog, machine-learning, and workflow tools. Airflow, Dagster, and dbt integrations can trigger analytical flows and app runs from data pipelines. Hex says its agent grounds answers in organizational context and can connect with Claude, Codex, Cursor, Slack, MCP, a CLI, APIs, or custom agents. Users can build apps from prompts, with code underneath and controls for the finished app. Context Studio and Evals provide visibility into topics, trends, and warnings about answer quality. Community is free; Professional costs $36 a month per Editor, and Team costs $75 a month per Editor. Community and Professional allow up to five published apps, while Team and Enterprise allow unlimited published apps. A 14-day trial is listed.

Seek AI is an agentic platform for asking questions about business data in plain language and receiving answers and insights. Its Dialogue, Semantic Parsing, and Explanation agents interpret questions, generate database queries, and summarize results. Seek is offered as a Snowflake Native App, a managed service, and embedded AI powered by Seek. Listed warehouse integrations include Snowflake, BigQuery, Redshift, Databricks, and Azure SQL Server and Synapse; the company also lists SQL Server, dbt, and Slack. The SEEKER-1 natural-language-to-SQL engine is available through a web app, Slack integration, and API, which can be connected to other software. Seek Native runs within Snowflake’s managed environment, where Seek says data need not be moved or made accessible to app providers. The product overview includes an analyst-in-the-loop review guardrail. Seek says it received a clean SOC 2 Type II attestation report.