.display-none {
  display: none;
}

/* breadcrumbs */
.breadcrumb-content-inner {
  margin-bottom: 0;
}

.block.block-system-breadcrumb-block {
  margin-bottom: 0;
}

/*
hero section
*/
.download-card--wrap {
  display: flex;
  flex-direction: row;
  align-items: flex-start;
  gap: 1.3333rem;
}
.download-card--wrap .left {
  width: 42%;
}
.download-card--wrap .left .cover {
  width: 100%;
}
.download-card--wrap .right {
  width: 58%;
}
.download-card--wrap .right h5 {
  font-size: 1.1111rem;
  font-weight: 600;
  margin-bottom: 0;
}
.download-card--wrap .right .desc {
  font-size: 0.8889rem;
  line-height: 1.48;
  padding-bottom: 20px;
}
.download-card--wrap .right .btn-m {
  padding: 12px 24px;
  background: #f05149;
  border-radius: 4px;
  color: #ffffff;
  font-size: 0.8333rem;
  line-height: 1;
  font-weight: 600;
  text-transform: uppercase;
}
.download-card--wrap .right .btn-m:hover {
  box-shadow: 0px 5px 15px rgba(0, 0, 0, 0.2);
}

.hero-section-text-container {
  padding-bottom: 0;
  width: 90%;
}

.hero-section-text-container .gsc-heading__desc {
  margin-top: 8px;
}
.hero-section-text-container .gsc-heading__desc p {
  font-size: 1rem;
}

.lakehouse-arch--sec .row .body-text,
.lakehouse-arch--sec .row .body-text p {
  font-size: 1rem;
}
.lakehouse-arch--sec .row ul {
  margin-bottom: 20px;
}
.lakehouse-arch--sec .row .video--sec {
  margin-bottom: 0;
}
.lakehouse-arch--sec .row .video--sec .gsc-video-box.style-2 {
  margin-bottom: 0;
}
.lakehouse-arch--sec .row .video--sec .gsc-video-box.style-2 .image:after {
  width: 0;
}

.plugged-video .video-inner {
  box-shadow: none !important;
}

.plugged-video .video-inner .gsc-video-box.style-2 .image:after {
  width: 0;
  height: 0;
}

/*
Section with image
*/
.sec-img .sec-img-content {
  padding-left: 64px;
}
.sec-img .sec-img-content .sec-img-title {
  padding: 0;
}
.sec-img .sec-img-content .el-custom-content {
  font-size: 1rem;
  line-height: 1.48;
}

/*
title alone section
*/
.title-alone-sec .gsc-heading__content h2 {
  width: 75%;
}

/*sub section with image*/
.sub-sec-img .sub-sec-img-content .gsc-heading {
  padding: 0;
}
.sub-sec-img .sub-sec-img-content h2 {
  font-size: 28px;
  width: 75%;
  font-weight: 600 !important;
  line-height: 1.4;
}
.sub-sec-img .sub-sec-img-content .gsc-heading__desc {
  margin: 0;
  padding: 0;
  font-size: 1rem;
  line-height: 1.48;
}

/*
Icon card section
*/
.icon-card--title {
  width: 75%;
}

.icon-card--card .column-inner {
  padding: 0 32px 32px 0;
}
.icon-card--card h3 {
  font-size: 1.1111rem;
  font-weight: 600;
  padding: 0 0 8px;
}
.icon-card--card h3::after {
  height: 1.5px;
}
.icon-card--card .iconbox-three__desc {
  font-size: 1rem;
  line-height: 1.48;
  font-family: "proxima-nova", sans-serif;
  color: #333333;
}

/*
roi stat
*/
.roi-high-lists {
  display: flex;
  flex-direction: column;
  gap: 12px;
  margin: 40px 0;
}
.roi-high-lists .roi-high--highlight {
  display: inline-flex;
  align-items: center;
  gap: 8px;
}
.roi-high-lists .roi-high--highlight .roi-high--img {
  width: auto;
  height: 40px;
}
.roi-high-lists .roi-high--highlight .roi-high--content {
  font-weight: 500;
  line-height: 1;
}

.roi-stats--sec p {
  margin: 0;
}
.roi-stats--sec .row {
  gap: 20px;
}
.roi-stats--sec h2 {
  width: 65%;
}
.roi-stats--sec .stat-card--small {
  padding: 16px 16px 20px 16px;
  box-shadow: rgba(99, 99, 99, 0.12) 0px 2px 8px 0px;
  width: 32%;
  border-radius: 8px;
}
.roi-stats--sec .stat-card--small .gsc-image img {
  width: 48px;
  margin-bottom: 20px;
}
.roi-stats--sec .stat-card--small .title p {
  font-weight: 600;
  margin: 0;
}
.roi-stats--sec .stat-card--small .desc p {
  font-size: 16px;
  line-height: 1.48;
  margin: 6px 0 0 0;
}

/*
cta section
*/
.o-cta--sec .o-cta--content h2.gsc-heading__title {
  width: 90%;
}
.o-cta--sec .o-cta--content .gsc-heading__desc {
  margin: 8px 0 0 0;
}
.o-cta--sec .o-cta--content .gsc-heading__desc p {
  font-size: 18px;
  line-height: 1.56;
}
.o-cta--sec .o-cta--img .widget-content {
  text-align: right;
}
.o-cta--sec .o-cta--img .widget-content img {
  max-height: 350px;
}

/* Page Specific */
.sub-sec-img .row.row-wrapper {
  justify-content: space-between;
}
.sub-sec-img .widget.gsc-image {
  text-align: center;
}
.sub-sec-img .widget.gsc-image img {
  max-height: 300px !important;
}

/*
Tablet
*/
@media screen and (max-width: 1200px) {
  .hero-sec .bb-container.container .row {
    flex-direction: column;
  }
  .hero-sec .hero-sec--content,
  .hero-sec .hero-sec--resource {
    width: 100%;
  }
  .hero-section-text-container {
    width: 100%;
    padding-bottom: 16px;
  }
  .hero-sec--resource {
    padding: 24px;
  }
  .download-card--wrap .left {
    width: 30%;
  }
  .download-card--wrap .right {
    width: 66%;
  }
  .download-card--wrap .right h5 {
    font-size: 22px;
  }
  .download-card--wrap .right .desc {
    font-size: 18px;
    padding-bottom: 24px;
  }
  .download-card--wrap .right .btn-m {
    padding: 14px 24px;
    font-size: 1rem;
  }
  /*
  lakehouse architecture
  */
  .lakehouse-arch--sec .bb-container .row {
    flex-direction: column;
  }
  .lakehouse-arch--sec .bb-container .row .gsc-column {
    width: 100%;
  }
  .lakehouse-arch--sec .bb-container .row .gsc-column .gsc-heading {
    padding: 0;
  }
  .lakehouse-arch--sec .bb-container .row .video--sec {
    margin-top: 24px;
  }
  /*
  investment fall short on roi sec
  */
  .sec-img .bb-container .row {
    flex-direction: column;
    gap: 32px;
  }
  .sec-img .bb-container .row .gsc-column {
    width: 100%;
  }
  .sec-img .bb-container .row .gsc-column .widget-content {
    text-align: center;
  }
  .sec-img .bb-container .row .gsc-column .widget-content img {
    width: 60%;
  }
  .sec-img .sec-img-content {
    padding-left: 0;
  }
  .title-alone-sec .gsc-heading__content h2 {
    width: 100%;
  }
  .title-alone-sec .gsc-heading {
    padding-bottom: 0;
  }
  .sub-sec-img .bb-container .row {
    flex-direction: column;
    gap: 32px;
  }
  .sub-sec-img .bb-container .row .gsc-column {
    width: 100%;
  }
  .sub-sec-img .sub-sec-img-content h2 {
    width: 100%;
  }
  .sub-sec-img .widget.gsc-image img {
    max-height: unset !important;
    width: 60%;
  }
  .sub-sec-img.col-rev-mob .bb-container .row {
    flex-direction: column-reverse !important;
  }
  /*
  icon box sec
  */
  .icon-card--sec .icon-card--title {
    width: 100%;
  }
  .roi-stats--sec h2 {
    width: 100%;
  }
  .roi-high-lists {
    gap: 20px;
    margin: 32px 0;
  }
  /*
  cta section
  */
  .o-cta--sec .bb-container .row {
    flex-direction: column-reverse !important;
    gap: 32px;
  }
  .o-cta--sec .bb-container .row .gsc-column {
    width: 100%;
  }
  .o-cta--sec .o-cta--img .widget-content {
    text-align: center !important;
  }
}
/*
Mobile
*/
@media screen and (max-width: 768px) {
  .breadcrumb-content-inner .breadcrumb-content-main {
    padding: 64px 24px;
  }
  .breadcrumb-content-main h1 {
    font-size: 32px;
    font-weight: 500;
    margin: 24px 0 16px 0;
    line-height: 1.2;
  }
  .breadcrumb-content-main h3 {
    font-size: 18px;
    font-weight: 400;
    line-height: 1.4;
    margin-bottom: 0;
    color: hsl(206, 9%, 80%) !important;
  }
  .breadcrumb-content-inner .gva-block-breadcrumb .breadcrumb-links nav.breadcrumb ol {
    display: flex;
    flex-direction: row;
    flex-wrap: wrap;
    width: 100%;
    justify-content: center;
  }
  .breadcrumb-content-inner .gva-block-breadcrumb .breadcrumb-links nav.breadcrumb ol li {
    float: none;
    font-size: 14px;
    font-weight: 600;
  }
  .breadcrumb-content-inner .gva-block-breadcrumb .breadcrumb-links nav.breadcrumb ol li a {
    font-weight: 300;
  }
  .bb-container.container {
    padding-left: 0;
    padding-right: 0;
  }
  .bb-container.container .row {
    width: 100%;
    margin: 0 auto;
  }
  .bb-container.container .row .gsc-column {
    padding-left: 0;
    padding-right: 0;
  }
  /*
  foooooooooooter
  */
  .region.region__footer .gbb-row-wrapper .gbb-row {
    padding-left: 24px;
    padding-right: 24px;
  }
  /*
  hero section
  */
  .hero-sec .hero-sec--content .gsc-heading__desc p {
    font-size: 16px;
  }
  .hero-sec--resource {
    padding: 32px 24px !important;
  }
  .hero-sec--resource .download-card--wrap {
    flex-direction: column;
  }
  .hero-sec--resource .download-card--wrap .left {
    width: 100%;
  }
  .hero-sec--resource .download-card--wrap .right {
    width: 100%;
  }
  .hero-sec--resource .download-card--wrap .right h5 {
    font-size: 20px;
  }
  .hero-sec--resource .download-card--wrap .right .desc {
    font-size: 16px;
    padding-bottom: 8px;
  }
  .hero-sec--resource .download-card--wrap .right .btn-m {
    padding: 16px 24px;
    font-size: 15px;
    width: 100%;
    display: block;
    text-align: center;
  }
  .lakehouse-arch--sec .el-custom-content.body-text,
  .lakehouse-arch--sec .el-custom-content.body-text p {
    font-size: 16px;
  }
  .lakehouse-arch--sec .el-custom-content .body-text,
  .lakehouse-arch--sec .el-custom-content .body-text p {
    font-size: 16px;
  }
  .lakehouse-arch--sec .video--sec {
    margin-top: 0;
  }
  .sec-img .bb-container .row .gsc-column .widget-content img {
    width: 100%;
  }
  .sec-img .sec-img-content .el-custom-content {
    font-size: 16px;
  }
  .sub-sec-img .widget.gsc-image img {
    width: 100%;
  }
  .sub-sec-img .sub-sec-img-content h2 {
    font-size: 23px;
  }
  .sub-sec-img .sub-sec-img-content .gsc-heading__desc {
    font-size: 16px;
  }
  .roi-stats--sec .roi-section-texts {
    font-size: 16px;
  }
  .roi-high-lists .roi-high--highlight .roi-high--img {
    width: auto;
    height: 35px;
  }
  .roi-high-lists .roi-high--highlight .roi-high--content {
    line-height: 1.4;
    font-size: 16px;
  }
  .icon-card--sec .icon-card--card .column-inner {
    padding: 0 0 32px 0;
  }
  .icon-card--sec .icon-card--card h3 {
    font-size: 1rem;
  }
  .icon-card--sec .icon-card--card .iconbox-three__desc p {
    font-size: 16px;
    margin-bottom: 0;
  }
  .icon-card--sec .icon-card--card .iconbox-three__icon-inner {
    font-size: 56px;
  }
  .o-cta--sec .o-cta--content .gsc-heading__desc p {
    font-size: 16px;
    line-height: 1.48;
  }
  .o-cta--sec .gsc-heading__action a.btn-theme {
    padding: 16px 24px;
    font-size: 15px;
    width: 100%;
    display: block;
    text-align: center;
  }
}




##  Overview 

Most organizations have already invested heavily in a modern data lakehouse. Platforms like Snowflake and Databricks deliver powerful storage and compute at scale.

But many teams still struggle with the same challenge:

**It still takes a long time to deliver trusted, business-ready data for AI, analytics, and self-service.**

Denodo helps organizations **accelerate the return on their data lakehouse investment** by solving the last-mile challenges of data integration, governance, semantics, and real-time delivery. Without replacing or disrupting your lakehouse, the Denodo Platform makes it easier to turn data into outcomes faster, at lower cost, and with less operational complexity.



 

 



 

 

 

 ![](/sites/default/files/2026-02/ROI-report-Veqtor8-web-details-thumbnail-cropped.jpg) 

#####  See the Proven ROI of Extending Your Lakehouse with Denodo 

 Download the independent ROI study to learn how organizations achieved 3–4× faster insights, reduced data engineering effort, and realized measurable cost savings, by using Denodo alongside their lakehouse.

 [Download the roi report](/document/analyst-report/denodo-lakehouse-roi?utm_source=Rib-BN&utm_medium=Web) 

 





 

 

 

 

 

 

 

 

##  What Is Denodo’s Role in a Lakehouse Architecture? 

 

 



 

 

 

Denodo acts as an AI Data Layer, powered by logical data management, that sits alongside your lakehouse to unify, govern, and deliver data from across your enterprise.

It delivers the active context that AI, analytics, applications, and self-service users need to understand and use distributed data consistently.

Instead of forcing all data into the lakehouse, Denodo:

- Connects to lakehouse data and distributed sources in real time
- Applies consistent business semantics and governance
- Delivers curated data products to BI tools, AI models, and applications via a business-friendly Data Marketplace for self-service discovery and access.
 
This approach enables organizations to **use their lakehouse where it adds the most value**, while avoiding unnecessary data movement, duplicated pipelines, and spiraling consumption costs.



 

 

 

 ![ROI](https://www.denodo.com/sites/default/files/Lakehouse-Preview-Image.png) [](https://player.vimeo.com/video/1094631917) 

 

 

 

 

 

 

 

 

 

 

 ![](https://www.denodo.com/sites/default/files/pages/products/platform/9.5/activecontextlayer_architecture_1200w_2_1.webp) 

 

 

 

 

##  Why Lakehouse Investments Often Fall Short of Expected ROI 

 

 



Lakehouses excel at storage and processing, but many organizations encounter common challenges once they try to scale usage across the business:

- Data engineering teams become bottlenecks as new pipelines and models are required for every request.
- Business users struggle to find and trust data due to inconsistent definitions.
- AI initiatives stall because data is not governed, explainable, or delivered in real time.
- Costs rise as more workloads compete for lakehouse compute.
 
Denodo addresses these challenges by **decoupling data consumption from physical data movement**, enabling faster delivery without adding architectural complexity.



 

 

 

 

 

 

 

 

##  How Denodo Accelerates Value from Your Lakehouse 

 

 



 

 

 

 

 

 

 

 

 ![](https://www.denodo.com/sites/default/files/pages/accelerate-lakehouse-roi/business_ready_data_illustration.webp) 

 

 

 

 

##  Deliver Business-Ready Data Faster 

Denodo delivers active context through a shared semantic layer that defines trusted metrics, relationships, and business meaning once, then reuses them consistently across AI, analytics, and self-service. This dramatically reduces the time required to prepare data for analytics, self-service, and AI.

Organizations using Denodo alongside a lakehouse report **3–4× faster time-to-insight** and **75% less data engineering effort**, according to an independent analysis.



 

 



 

 

 

 

 

 

 

 

##  Enable AI and Agentic Workloads with Trusted Data and Active Context 

AI models and agents depend on accurate, governed data and the business context needed to interpret it. Denodo provides a single point of access where trusted metrics, semantics, lineage, relationships, and policies are consistently applied across all sources, not just those stored in the lakehouse.

This makes it easier to:

- Feed AI models with real-time, trusted data
- Reduce risk related to bias, privacy, and compliance
- Accelerate GenAI and agentic AI initiatives without rebuilding pipelines
 


 

 



 

 

 

 ![](https://www.denodo.com/sites/default/files/CP-GenAI-2024-09-detailThumbnail-500x500.png) 

 

 

 

 

 

 

 

 

 

 ![](https://www.denodo.com/sites/default/files/pages/accelerate-lakehouse-roi/data_self_service_illustration_initial.webp) 

 

 

 

 

##  Scale Self-Service Without Losing Control 

Centralizing data, in-and-of-itself, does not deliver democratization. Denodo provides a business-ready Data Marketplace that goes beyond technical data lakehouse catalogs, making trusted data easy for business users to find, understand, and use. By surfacing consistent business semantics, Denodo enables scalable self-service without sacrificing governance or control.



 

 



 

 

 

 

 

 

 

 

##  Optimize Performance and Control Costs 

Rather than copying and persisting more data into the lakehouse, Denodo intelligently federates and optimizes queries across systems. This minimizes unnecessary replication and helps control consumption-based costs.

In many deployments, Denodo also accelerates lakehouse query performance while reducing infrastructure overhead, helping organizations **do more with the investments they have already made**.



 

 



 

 

 

 ![](https://www.denodo.com/sites/default/files/pages/accelerate-lakehouse-roi/optimize_cost_performance_2_1.webp) 

 

 

 

 

 

 

 

 

 

##  Four Reasons Denodo Makes Your Lakehouse Work for AI and Self-Service 

 

 



 

 

 

  

### Active Context Across All Data

A universal semantic layer delivers consistent definitions, trusted metrics, and relationships across lakehouse, SaaS, operational, and unstructured data sources, so people and AI can work from the same business context.



 

 

 

 

 

  

### A Business-Ready Data Marketplace

Enables governed self-service by giving business users a single place to discover, understand, and access trusted data with consistent definitions and context.



 

 

 

 

 

  

### Federated Governance with Central Oversight

Policies are defined once and enforced everywhere, supporting compliance, privacy, and fine-grained access, without slowing delivery.



 

 

 

 

 

  

### Real-Time Delivery Without Excess Replication

Denodo provides live access to distributed data when needed, avoiding batch delays and expensive always-on ingestion pipelines.



 

 

 

 

 

 

 

 

 

 

##  Proven ROI from Lakehouse Investments 

 

 



Research by independent analyst Veqtor8 shows that organizations using Denodo alongside a modern data lakehouse achieved:



 ![](/sites/default/files/2026-02/save-cost.png)$3.6M in cost avoidance over three years

 

 ![](/sites/default/files/2026-02/roi-chart.png)345% ROI with payback in under seven months

 

 ![](/sites/default/files/2026-02/low-effort.png) Significant reductions in integration, governance, and engineering effort

 







These gains come not from replacing existing platforms, but from **making lakehouse investments more efficient, scalable, and business-ready**.



 

 

 

 

 

 

 

 

##  Increase and Accelerate ROI from Your Lakehouse Investment 

Your lakehouse is already in place. The opportunity now is to get more value from it.

Talk with a Denodo expert to see how organizations are accelerating AI initiatives, scaling self-service, and reducing costs by extending their lakehouse with an AI data layer powered by logical data management.

Contact us to learn how Denodo can help you accelerate ROI from your lakehouse.



 

 [Contact Us](https://www.denodo.com/en/contact-us) 

 



 

 

 

 ![Contact Us](https://www.denodo.com/sites/default/files/pages/accelerate-lakehouse-roi/sample-cta-placement-1.png)