OpenText brings decades of expertise to help you unlock data, connect people and processes, and fuel AI with trust
Unify data seamlessly across your enterprise to eliminate silos, improve collaboration, and reduce risks
Get AI-ready and transform your data into structured, accessible, optimized information
Meet regulatory and compliance requirements and protect your information throughout its lifecycle
OpenText helps people manage content, automate work, use AI, and collaborate to boost productivity
See how thousands of companies around the world are succeeding with innovative solutions from OpenText™
Our people are our greatest asset; they are the life of the OpenText brand and values
Learn how we aspire to advance societal goals and accelerate positive change
Find a highly skilled OpenText partner with the right solution to enable digital transformation
Explore scalable and flexible deployment options for global organizations of any size
Local control. Global scale. Trusted AI
Your cloud, your control
Free up resources, optimize performance and rapidly address issues
Run anywhere and scale globally in the public cloud of your choice
See information in new ways
AI that understands your business, your data, and your goals
Say hello to faster decisions. Your secure personal AI assistant is ready to get to work
Gain better insights with generative AI for supply chains
Power work with AI content management and an intelligent AI content assistant
Improve your security posture with AI cybersecurity and agile threat detection
Enable faster app delivery, development, and automated software testing
Elevate customer communications and experiences for customer success
Empower users, service agents, and IT staff to find the answers they need
See information in new ways
AI that understands your business, your data, and your goals
Say hello to faster decisions. Your secure personal AI assistant is ready to get to work
Gain better insights with generative AI for supply chains
Power work with AI content management and an intelligent AI content assistant
Improve your security posture with AI cybersecurity and agile threat detection
Enable faster app delivery, development, and automated software testing
Elevate customer communications and experiences for customer success
Empower users, service agents, and IT staff to find the answers they need
Predict, act, and win with real-time analytics on a smarter data platform
Give users access to the answers they need, faster and easier, with multi-repository AI-based search that lets you contextualize everything from clicks to conversations
Connect once, reach anything with a secure B2B integration platform
Reimagine knowledge with AI-ready content management solutions
Supercharge intelligent workspaces with AI to modernize work
Integrated cybersecurity solutions for enterprise protection
Purpose built data protection and security solutions
Reinvent threat hunting to improve security posture with the power of agile AI
Ship better software—faster—with AI-driven DevOps automation, testing, and quality
Reimagine conversations with unforgettable customer experiences
Get the clarity needed to cut the cost and complexity of IT operations
Redefine Tier 1 business support functions with self-service capabilities from private generative AI
Build custom applications using proven OpenText Information Management technology
Build it your way with OpenText Cloud APIs that create the real-time information flows that enable custom applications and workflows
Protect what matters, recover when it counts
Get greater visibility and sharper insights from AI-driven information management. Ready to see how?
Break free from silos, streamline processes, and improve customer experiences with secure information management for AI
Improve efficiency, security, and customer satisfaction with OpenText
Run processes faster and with less risk
Achieve digital transformation with guidance from certified experts
Modernize your information management with certified experts
Unlock the full potential of your information management solution
Turn support into your strategic advantage
Extend IT teams with certified OpenText application experts
Discover training options to help users of all skill levels effectively adopt and use OpenText products
Modernize your information management with certified experts
Unlock the full potential of your information management solution
Turn support into your strategic advantage
Extend IT teams with certified OpenText application experts
Discover training options to help users of all skill levels effectively adopt and use OpenText products
Information is the heartbeat of every organization. We build information management software so you can build the future
OpenText partners with leading cloud infrastructure providers to offer the flexibility to run OpenText solutions anywhere
OpenText partners with top enterprise app providers to unlock unstructured content for better business insights
Discover flexible and innovative offerings designed to add value to OpenText solutions
Discover the resources available to support and grow Partner capabilities
Get expert product and service support to accelerate issue resolution and keep business flows running efficiently
Explore detailed services and consulting presentations, briefs, documentation and other resources
A data lakehouse enables enterprises to effectively manage growing data volumes, boost data security, lower data storage costs, and tap into GenAI and business intelligence. Discover how data lakehouses work, key benefits of adopting a data lakehouse architecture, and how you can access to real-time analytics and machine learning wherever data is stored—in a data lakehouse, data warehouse, or data lake.
A data lakehouse is a data management platform that brings together aspects of a data warehouse and data lake with added performance, security, and flexibility benefits. A data lakehouse is essentially a high performing data warehouse, able to support all types of data (structured, unstructured, and semi-structured) with built-in data processing tools. The result is a single, powerful data management foundation that powers data processing for AI and advanced analytics.
Innovations in data lakehouse architecture have driven adoption, also spurred by a need to more efficiently manage growing volumes of diverse data, bridge the gap between a data lake and a data warehouse, and deliver trusted AI and business intelligence.
While a data lakehouse, data lake, and data warehouse are all data repositories, each has distinct differences and relevant use cases. Let’s compare the three data approaches.
A data warehouse provides a way to centralize the storage of structured data, able to consolidate data from multiple sources into a single location. As a result, data warehouses break down information silos, giving business users fast data access and the ability to query data to generate reports and insights. Data warehouses support data mining, data analytics, and business intelligence use cases, allowing organizations to understand business performance, uncover trends, and make more informed business decisions.
However, data warehouses aren’t without challenges, with complex ETL (extract, transform, and load) processes increasing management requirements and driving up costs. In addition, off-cloud data warehouses may struggle to scale to support enterprise data growth and new use cases, further impacting TCO.
A data lake stores large volumes of structured and unstructured data, able to easily scale to support growing volumes. The ability to support various types of diverse data and formats makes data lakes applicable for big data use cases, such as machine learning and data science—and provide a more cost-effective option compared to a data warehouse.
But the complexity and size of data lakes require proper management to prevent data from becoming unwieldy and difficult to manage and typically require data scientists or data engineers to effectively utilize data.
Historically, data warehouses and data lakes were deployed as individual, siloed architectures, which required data to be shared across two systems. A data lakehouse can be used in tandem with a data lake and data warehouse, providing a flexible and low-cost storage option for all types of data and formats and eliminating the need for multiple copies of data across different systems.
With support for ACID transactions, users can run queries through SQL commands for structured and unstructured data, using high-performance AI and analytics for a variety of use cases. As a result, organizations can boost analytics power to enable more intelligent operations, applying insight to personalize customer experiences, improve decision-making, speed up product development, optimize workflows, and accelerate revenue growth.
The limitations of traditional data architectures, such as high costs and limited scalability, are driving organizations to embrace data lakehouses. A recent survey found that 87% of over 200 IT leaders plan to repatriate workloads within two years.
There are several factors contributing to the desire to move to a more modern data architecture approach, including:
Data lakehouse typically consists of five layers:
Let’s explore the role of each:
The ingestion layer, the first layer, gathers data from various sources, such as transactional databases, NoSQL databases, and APIs. From there, the data is transforms it into an accessible format for the data lakehouse to store and analyze.
The storage layer is where all of the data (unstructured, structured, and semi-structured) is ingested into the lakehouse and stored. The data is stored in open file formats for optimized analytics performance.
The third layer is the metadata layer which classifies the metadata associated with the data that has been ingested and stored.
The fourth layer uses APIs to increase conduct more advanced analytics, enabling analytics tools and third-party applications to query the data within the data lakehouse architecture. This layer supports real-time data processing, allowing teams to tap into real-time analytics even as data is updated and refreshed.
The consumption layer allows applications and tools to access all metadata and data stored in the lakehouse. This provides desired data access to business users, allowing individuals to perform analytics tasks such as dashboard creation, data visualization, SQL queries, and machine learning tasks.
Data lakehouses yield many benefits to organizations and users, such as improved data management, cost savings, and enhanced AI and machine learning from the same source. Here are some of the primary advantages a data lakehouse can deliver:
With real-time analytics and built-in machine learning, OpenText allows organizations to seamlessly analyze data within a data lakehouse—optimizing resource use and reducing total cost of ownership.
OpenText helps enterprises take full advantage of a modern data lakehouse architecture—anchored by OpenText™ Analytics Database (Vertica) for high-performance, scalable analytics across both data warehouses and data lakes.
OpenText’s unified engine supports high-performance SQL, advanced analytics, and open data formats, giving you the speed of a warehouse with the scale and openness of a lake. Whether on-premises, in the cloud, or in hybrid environments, OpenText empowers organizations to unify their data landscape and run analytics wherever the data lives—without compromise.
To extend these capabilities, OpenText’s composable Analytics and AI platform enables organizations to extract deeper insights, govern data more effectively, and deliver value across the enterprise.
To enhance insight, Knowledge Discovery brings advanced AI and machine learning to process and analyze unstructured data such as documents, emails, video, and audio—critical content types that traditional lakehouses often overlook. OpenText™ Intelligent Classification enriches this further with natural language processing, uncovering sentiment, topics, and key entities from massive volumes of text. OpenText™ Intelligence empowers business users with interactive dashboards and self-service analytics to accelerate decision-making.
Beyond analytics, OpenText addresses critical enterprise needs around data trust, governance, and security. OpenText™ Data Discovery automatically scans, classifies, and maps data across silos—giving organizations visibility into sensitive and regulated information, and reducing risk before data even enters the analytics environment. Data Privacy and Protection adds enterprise-grade, data-centric security through format-preserving encryption, tokenization, and policy-based privacy controls—ensuring your data remains protected throughout its lifecycle.
Together, these capabilities turn OpenText’s data lakehouse offering into a holistic, enterprise-ready ecosystem—built for speed, intelligence, security, and trust.
Explore how a fast, scalable analytics platform can support your business and analyze data wherever it is stored.
Accelerate insights with fast, scalable analytics and built-in ML—on-prem, in the cloud, or hybrid
Make sense of unstructured content, millions of pages at a time
Improve decision making with self-service, AI-driven intelligence
Quickly access, blend, explore, and analyze data with drag-drop ease