ADOBE EXPERIENCE PLATFORM QUERY SERVICE

Want more precise insights? Better engagement? Query your customer data.

Discover and get the most value from your customer data with Adobe Experience Platform Query Service. Derive powerful signals from ingested behavioural, CRM, point-of-sale data sources and more.

Cleaner, richer and more actionable data is at your fingertips.

Extend the impact of your customer data across your Experience Platform-powered applications and beyond. Explore and distil data across systems to uncover better signals for increased engagement, insights and personalisation.

Explore omnichannel customer data.
Run ad hoc queries to sample, explore and use customer data to validate and understand the features of your data.

Distil data and derive signals to drive better actions.
Schedule batch queries to find high-value data and attributes continuously and put them to work in downstream engagement systems and workflows.

Power advanced dashboards based on your needs.
Use your curated insights to power user-defined dashboards in Adobe Real-Time CDP and various standard BI tools with PSQL integrations, like Microsoft Power BI, Excel, Tableau, Qlik and Looker.

Work easily in a high-performance environment.
Use SQL-based tools — our freeform Query UI or your favour PSQL — and a scalable infrastructure to support large data processing with API accessibility and PSQL integrations.

Keep data privacy and governance in mind.
Seamlessly persist consumer privacy and access control policies to datasets explored or generated using Query Service.

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Advanced query features to put data at the centre of the customer experience.

Verify, validate and experiment with data quickly using SQL-based ad hoc queries.

Use ANSI SQL for powerful exploration.
Work within a freeform query UI that allows you to write queries and preview query execution, making analysis faster.

Get PSL integrations into third-party clients.
Connect to the Query Service from several desktop client applications by creating a verified connection. Our guide covers using PostgreSQL tools (like DbVisualiser) and drivers to connect and write queries.

Clean, shape, manipulate and enrich customer data with SQL-based batch queries.

Use the powerful SQL-based batch query data processing engine and get all of the following:

Scalable compute infrastructure
Productivity-enhancing features, like templates, anonymous block, snapshot incremental processing and sampling
SQL functionality tailored to customised business use cases — like standard spark functions, SQL Adobe-defined functions — for time series manipulations, like pathing and window functions

Automated scheduling, alerting and monitoring.
Operationalise data processing workflows and data governance to manage data security, usage, privacy and audits.

Get workflows and connections for delivering and visualising extended insights.

BI connectivity
Connect Query Service with business intelligence tools so that you can power dashboards with curated reporting data generated using Query Service.

Extend Real-Time CDP reporting data models
Build customised data models to power user-defined dashboards in Real-Time CDP or to embed in your preferred reporting framework using reporting APIs.