Smart Lakehouse Technology

A Hybrid Solution for Modern Data Challenges

Self Service Analytics

Pitfalls of traditional warehouses

What is a smart lakehouse?

Enterprises are increasingly demanding smart data lakehouse platforms for scalability, flexibility and extensibility for their analytics – addressing limitations in modern data stack and data warehouse technology. 

The modern data lakehouse technology combines the best features of cloud-based data lakes and data warehouses to unlock data, enabling and extending real time operational analytics on large, high-value data sets from across the enterprise.

The architecture

  • A smart lakehouse understands source systems without the need for complex or convoluted data processing pipelines. It allows a deep dive from high-level metrics down to the lowest level of detail in the transactions in order to diagnose issues or feed into machine learning models. 
  • It delivers data, analytics and more into cloud-based environments such as Azure Synapse Analytics, Google BigQuery as well as vertical or departmental SaaS solutions such as OneStream or BlackLine. 
  • With delta sharing, a smart lakehouse can ensure that data is available for an ever-growing range of data processing and analytic workloads, delivered to the right destination at the right time.
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“It used to take 8 to 12 weeks to get a report from request to production. With Incorta, business users can do that on their own instantaneously.”

Ajit Oak, Head of Business Intelligence

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400 to 70K

queries per day

96%

faster speed to insights

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“Before Incorta my team spent hours every day running reports. Now, we can get that information in seconds.”

Rachel McCutcheon, Director of Supply Chain Management & Procurement

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91%

reduction in stockouts

<1 sec

to critical insights

Comcast user running a report faster than ever using Incorta
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“Users have the power to run existing reports significantly faster, which means we’re now working more efficiently than ever.”

Director of Financial Applications

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96x

data refreshes per day

1 day

to make complex changes

Redstone machine learning engineer using Incorta's self service analytics platform
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“Our ML team works with massive amounts of data. Incorta makes the process more autonomous and exponentially faster.”

Raj Prasad, Sr. Assistant VP for Data Science and Analytics

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13M

rows finserv data loaded in 43 secs

<1 sec

query response time

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Fortune 500 global coffee company
“Imagine looking at a year’s worth of data — that’s literally billions of records. Now we can provide those answers immediately.”

Jay Singh, VP of Engineering & Quality Assurance

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100%

more dashboard refreshes

80x

faster dashboard delivery

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“We redeployed 13 of 15 BI support resources to work on more innovative projects and reduced complex 40-table reports running time to seconds.”

Bharath Natarajan, Head of Business Intelligence

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<10 sec

to run month-end queries

24x

reaction time improvement