Quest Software מרחיבה את המנהיגות בתחום הנתונים והבינה המלאכותית עם Quest Data Modeler ו-Quest Data Intelligence, ומשפרת את פלטפורמת ניהול הנתונים המהימנה שלה
Quest Software מרחיבה את המנהיגות בתחום הנתונים והבינה המלאכותית עם Quest Data Modeler ו-Quest Data Intelligence, ומשפרת
את פלטפורמת ניהול הנתונים המהימנה שלה
יכולות חדשות מספקות מודלים מבוססי ענן, ניהול מדיניות המופעל על ידי בינה
מלאכותית וספרייה מורחבת של עוזרי QuestAI,
ומעניקות לצוותי נתונים מודרניים בסיס יחיד ומנוהל ליוזמות אנליטיקה ובינה
מלאכותית - ממבנה נתונים ועד גישה לנתונים.
אוסטין, טקסס, 13 במאי
2026 (GLOBE NEWSWIRE) –
Quest Software, מובילה
גלובלית בניהול נתונים, אבטחת סייבר ומודרניזציה של פלטפורמות, הכריזה על שתי
מהדורות עיקריות עבור פלטפורמת ניהול הנתונים המהימנה של Quest, פלטפורמת התוכנה כשירות מקצה לקצה האחודה היחידה בתעשייה, עבור
נתונים מהימנים המוכנים לשימושי בינה מלאכותית. בהתבסס על Automated
Data Product Factory, היכולת החדשה והממירה שהוצגה מוקדם יותר
השנה, היכולות החדשות מונעות הבינה המלאכותית של הפלטפורמה, מספקות טכנולוגיה
חדשנית לצוותי נתונים מודרניים עם השקת Quest
Data Modeler, כלי מידול נתונים המותאם לענן, ו-Quest
Data Intelligence, כלי המרחיב את ספריית עוזרי הבינה
המלאכותית ליכולות שכוללות משילות, שלשאלות נתונים, תאימות, מוצרי נתונים, איכות
נתונים וגישה בשפה טבעית לנתונים מנוהלים.
למידע נוסף, בקרו בכתובת: quest.com/data-management-platform.
Quest Software Extends Data and AI Leadership with
Quest Data Modeler and Quest Data Intelligence, Enhancing its Trusted Data
Management Platform
New capabilities deliver cloud-native modeling,
AI-powered policy management, and an expanded library of QuestAI assistants,
giving modern data teams a single, governed foundation for analytics and AI
initiatives — from data structure to data access
AUSTIN, Texas, May 13, 2026
(GLOBE NEWSWIRE) –
Quest Software, a global leader in data management, cybersecurity and
platform modernization, today announced two major releases to the Quest Trusted
Data Management Platform, the industry’s only unified, end-to-end SaaS platform
for trusted, AI-ready data. Building on the Automated Data Product Factory, the
transformative new capability introduced earlier this year, the platform’s new
AI-powered capabilities deliver innovative technology for modern data teams
with the release of Quest Data Modeler, a cloud-native data modeling tool, and
Quest Data Intelligence, which expands the library of AI assistants spanning
governance, lineage, compliance, data products, data quality, and
natural-language access to governed data. To learn more, visit: quest.com/data-management-platform.
Most organizations stitch together separate data modeling tools, governance
suites, and AI assistants, leaving them with multiple naming definitions,
broken audit trails, and AI assistants running on ungoverned data. Quest Data
Modeler and Quest Data Intelligence, working jointly within the Quest Trusted
Data Management Platform, eliminates that fragmentation, giving customers a
trusted, reliable experience with a shared understanding of their data. Data
modeling establishes the logical definition and naming standards, and data
governance keeps those standards consistent across the platform creating
consistent business terms wherever data is consumed. QuestAI assistants speak
the same language to every user. The result is one platform, one audit trail,
and one shared understanding of data from how it is structured to how it is
consumed.
”Trusted data is the backbone of any modern AI strategy, and our continued
innovation is helping organizations turn AI ambition into real business value –
with lower risk, higher accuracy, and the trusted data that makes faster AI
deployment possible,” said Michael Laudon, Chief Product and Technology
Officer, Quest Software. “At the pace we’re all moving in the AI era, trust
can’t be tacked on after the fact – it has to be baked in from the start, or AI
initiatives stall. That’s why we designed the Quest Trusted Data Management
Platform with multiple entry points, each aligned to different stages of
enterprise data and AI maturity, so we can meet our customers where they are.
Some organizations are just beginning to address data visibility and quality;
others are operationalizing governance and lineage to meet regulatory and risk
requirements; and the most advanced are managing data as a product making it
continuously trusted, reusable, and scalable for AI, analytics, and automation.
By adding AI-powered data modeling and data intelligence, we are providing
organizations with a first-of-its-kind solution that spans the entire data
lifecycle, and helps them achieve trusted, AI-ready data faster – no matter
where they are in their journey.”
“The bottom line is, there is no trusted AI without trusted data, and there
is no trusted data without sound data modeling. That is where it all begins,”
said Rocky Creel, Executive Director, JP Morgan Chase. “Fragmented data
landscapes, inconsistent definitions, and manual processes slow everything down
and erode confidence in what we deliver downstream. Quest Software’s data
modeling solutions give us the rigor and consistency we need at the foundation
through well-defined structures, shared semantics, and governed designs that
every downstream capability can build from. When your models are right,
governance, lineage, and AI readiness follow. That’s why Quest’s continued
innovation in data modeling is so critical in helping to build a scalable,
trusted, AI-ready data ecosystem.”
Across every industry and organization, data teams are dealing with
fragmented, untrusted data that limits their AI readiness, accelerating
regulatory compliance, and disparate tools and definitions that erode trust in
data product outputs. Existing solutions have provided support for one of these
problems, whereas the Quest Trusted Data Management Platform addresses all
three within a single offering, and is built for how modern data teams work.
With Quest Data Modeler and Quest Data Intelligence, the Trusted Data
Management Platform now governs the two layers that matter most in the modern
data stack – how data is modeled, and how data is governed. No other solution
covers both in a single offering.
Quest Data Modeler is purpose-built for modern data stacks and to eliminate
the trade-off between legacy tools that lack modern collaboration, and
lightweight SaaS-enabled tools that lack governance. Drawing on Quest’s
leadership in data modeling, it combines AI-powered data modeling with
enterprise-level governance in a single offering, delivering real-time
collaboration, governed business definitions, and standard naming across hybrid
and cloud environments including Microsoft Fabric, Databricks, Snowflake, and
others. Quest Data Modeler capabilities include:
- AI-Assisted Modeling, a
natural-language interface that generates and refines models, suggests
consistent naming conventions, and accelerates delivery through
proposal-and-review workflows. Modeling cycles now drop from weeks to
hours without sacrificing the audit trails that organizations require.
- Real-Time Collaborative
Modeling allows data architects, analytics engineers, business analysts,
and data stewards to work in a single live workspace, with comments and
discussions handled directly in the modeling workspace to eliminate siloed
work.
- Enterprise Model
Repository delivers a centralized Mart repository with model locking,
version history, multi-user conflict resolution and controlled change
management, giving data teams the rigor required for large, multi-team
programs and a governance infrastructure that other cloud-native modelers
don’t have.
- Full-Stack Modeling
includes conceptual, logical, and physical data modeling in one place with
visibility across every layer, ensuring that “customer” and “revenue” mean
the same thing across every team, dashboard and AI system.
- erwin Heritage and Hybrid
Coexistence giving the tens of thousands of organizations that rely on
existing erwin investments now can migrate assets, maintain hybrid
workflows, and move to the cloud at their own pace, giving them the
ability to protect decades of modeling discipline without starting over —
a path no cloud-native competitor can match.
Quest Data Intelligence builds on Quest’s history of unmatched and proven
data intelligence and governance capabilities, infusing AI-driven innovations
to directly help organizations deliver trusted, AI-ready data at the speed and
scale modern AI demands while reducing regulatory risk. Quest Data Intelligence
capabilities include:
- AI-Powered Policy Manager
delivers governance that keeps pace with regulation instead of chasing it.
This feature generates policies directly from some of the most stringent
regulatory frameworks – including the EU AI Act, National Institute of
Standards and Technology (NIST) AI Risk Management Framework and GDPR,
with real-time policy enforcement at the point of data access, delivering
a policy-as-code approach backed by continuous compliance monitoring and
full audit trails.
- Expanded QuestAI
Assistant Library builds on the QuestAI Stewardship Assistant and helps
organizations develop business glossaries up to 75 percent faster and
onboards new data sources up to 10x faster. New assistants now span
glossary and ownership, data lineage, compliance, data products and data
quality.
- Universal Semantic
Assistant provides natural-language access to governed, trusted insights
powered by Quest’s semantic layer, closing the persistent gap between
business questions and the technical data that answers them.
MDSap Tech, a Quest Platinum Partner and SAP Gold Partner within the Midis
Group ecosystem, brings more than 30 years of experience helping organizations
across Europe, the Middle East and Africa modernize data management, analytics,
and digital transformation strategies. “Quest Software is taking a strong step
forward with the latest evolution of data modeling, making it more
collaborative, accessible, and efficient. The Quest Data Modeler has the
potential to significantly broaden participation beyond traditional technical
users, enabling business users to play a more active role in the modeling
process, which is hugely important for all organizations,” said Ömer Akgül,
Technology and Analytics Solutions Manager, MDSap Tech. “This new offering can
bring organizations substantial benefits, including improved alignment between
business and IT, faster iteration cycles, and more accurate representation of
business needs. The integration of AI-powered capabilities stands out as a key
enabler, helping to simplify complex modeling tasks and accelerate
productivity.”
Tecnet Dati has more than 30 years of experience as an IT consulting firm
offering services across AI, advanced analytics, data governance and
management, and more, and is a Quest Platinum+ Partner. “The user interface is
much lighter, while still providing the substance and core functionality to
someone that might not be as experienced with data modeling,” said Renato
Comes, Sales and Marketing Director, Tecnet Dati. “With integration with the
Mart repository, this will allow implementation of a hybrid environment where
downstream consumers who are less technical can build the models to meet their
business needs, while modeling teams can refine them from a more in-depth
standpoint. It builds a modelling ecosystem of collaboration, speed and scale.”
About Quest Software
Quest Software creates technology and solutions that build the foundation
for enterprise AI. Focused on data management and
governance, cybersecurity, and platform modernization, Quest helps
organizations address their most pressing challenges through trusted, AI-ready
data, secure identities, and modernized platforms. Around the globe, more
than 45,000 companies, including more than 90% of the Fortune 500, count on
Quest Software. For more information, visit www.quest.com or
follow Quest Software on LinkedIn, Facebook, and X (formerly Twitter).
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