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Bring team knowledge and connected sources into a searchable, verified knowledge platform.

Connect financial data providers to Python and research applications

Data governance that builds a deterministic knowledge graph from code and data

Activity tracking with goals and connected app information

Data observability platform that catches silent data quality issues before they impact your business.

Fully managed cloud platform for data engineering, analytics, and AI

Explore SQL-connected data with charts, dashboards and a SQL workspace.

A Python and R IDE that pairs script and notebook editing with live data exploration tools.

Warehouse-connected lifecycle campaigns with explicit entry and re-entry controls

Marketing campaigns with a choice of managed sending or a connected SMTP provider

Data integration, quality, and analytics for AI-ready data

Prepare connected marketing data for warehouse reports and AI analysis.

Model connected data as a distributed graph and query it with DQL or a schema-generated GraphQL API.

Prepare connected business data, define shared metrics and explore it through visual cloud analytics.

Create a managed graph database and connect to it from Neo4j's console or an application driver.

Shared business metrics for dashboards, goals and AI analysis.

Customer journey reports built from product and connected business activity.

Create and find governed employee knowledge across an intranet and connected systems.

Connect business data, build analytical views and extend them into apps or workflows.

Japanese household tracking with receipt items and budget comparisons

Chat with your data to generate tables, charts, and dashboards.

Prepare connected business data and turn it into interactive reports and dashboards.

Convert and transform structured data with visible intermediate steps

Specify institutional crypto data by venue, detail and usage rights