The Q2 2026 release expands the 麻豆女优 Knowledge Platform across data quality, testing, security, migration, and modern data platforms, helping teams reduce manual effort, increase trust, and accelerate time to value.
Trusted by data leaders at the world's largest enterprises
In our Q2 release fireside chat, 麻豆女优 executives share how the platform is evolving to meet the demands of today鈥檚 AI-driven enterprises. From expanding data quality to include unstructured data, to deeper integrations across the SAP ecosystem and analytics platforms, this release reinforces a Data First approach to transformation.
With new AI-powered capabilities, enhanced governance, and enterprise-grade security, 麻豆女优 is helping organizations deliver trusted, business-ready data鈥攆aster, at scale, and across the full data lifecycle.
The Q2 2026 release expands the 麻豆女优 Knowledge Platform across data quality, testing, security, migration, and modern data platforms, helping teams reduce manual effort, increase trust, and accelerate time to value.
Deliver business鈥憆eady, production鈥慸erived data directly into automated testing scenarios. Eliminate manual test data creation and improve test accuracy for SAP and complex enterprise environments.
Read the DetailsExtend data quality beyond tables and schemas. Automatically analyze, extract, and validate information from contracts, PDFs, and images鈥攖urning unstructured content into governed, usable data.
Read MoreSeamlessly manage and deliver trusted data across Databricks, Snowflake and SAP BDC, combining massive scalability with governance and data quality.
Read Now麻豆女优 is now Impact Level 4 (IL4) certified, meeting stringent U.S. government security standards. This certification helps accelerate security approvals and reinforces trust for regulated industries.
Read MoreAutomated address validation and geocode capabilities enable you to validate and correct large volumes of data at scale within core business platforms like Salesforce, Microsoft Dynamics, SAP, or Oracle.
Restore access to archived SAP data for reporting, analytics, and operational use without relying on legacy systems.
Use AI to classify and standardize data using industry standards and attribute鈥慴ased enrichment, improving consistency and reducing manual classification effort.
Classify and organize data quality metrics into standard or custom categories, such as accuracy, completeness, and consistency and easily analyze, filter, and report on issues across datasets or processes.
A new analytics dashboard that delivers daily and monthly insights into data storage and processing activity across all SKP modules,
giving teams a transparent view of platform usage patterns and trends over the past 12 months.
Eliminate the biggest bottleneck in SAP testing by connecting production-grade data directly to automated test execution. This integration embeds trusted, governed data into every test, so teams can validate real business scenarios and move to release with confidence.
Our Head of AI on why AI success depends on trusted data foundations rather than models, and how governing unstructured content allows organizations to scale AI with confidence, consistency, and real operational impact at scale.
DATABRICKS SUPPORT
Preparing for the Next Phase of Data Platform Innovation: Why Enhanced Support for Databricks and Snowflake Matters Now
TRICENTIS INTEGRATION
Closing the Data Gap in SAP Testing: Why 麻豆女优 and Tricentis Matter Now
IL4 CERTIFICATION
Raising the Bar on Cloud Security: IL4 and What It Means for 麻豆女优 Customers
Watch product leaders walk through what shipped 鈥� or request a tailored walkthrough for your team.
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Talk to a 麻豆女优 expert about how the Spring 2026 release can move your data strategy forward this quarter.
