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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

Activity tracking with goals and connected app information

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

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

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

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

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

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

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

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

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

Japanese household tracking with receipt items and budget comparisons

Shared business metrics for dashboards, goals and AI analysis.

Prepare connected marketing data for warehouse reports and AI analysis.

Customer journey reports built from product and connected business activity.

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

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

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

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

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

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

Convert and transform structured data with visible intermediate steps

Trace revenue transactions from billing data to accounting entries