Solutions:

Data Lake Augmentation

Get value from your Apache Hadoop-based data lake like never before

Enterprises have invested heavily in Apache Hadoop-based data lakes yet are often frustrated by the inability to get timely data-driven insights out of them. Although data lakes are useful as low-cost storage for structured and unstructured data, they don’t meet demands for large-scale, real-time analytics, including support for concurrent BI users in great numbers, sophisticated ad hoc queries, or data-intensive reports.

Instead, Yellowbrick augments the data lake with a modern, real-time enterprise analytics environment that is purpose-built for enabling analysts and data scientists to answer the hardest questions, accurately and within SLA windows, using their favorite tools.

Live Bi-Weekly Demo

Next up: Speed your Tableau by 10X

Next Demo: June 4th, 10:00AM PT

Only Yellowbrick lets you:

High-Value Data

Get value from all your data, immediately

Yellowbrick lets you immediately query data in multiple formats, ingested from any data lake source at industry-leading volumes in bulk or as a stream. And it works seamlessly with common data integration tools such as Informatica, Talend, and Denodo.

Lightning Fast Queries

Enable thousands of analysts to run queries at lightning speed

Yellowbrick delivers unparalleled predictable performance (in milliseconds) — with orders of magnitude more speed than alternatives — for even the most complex SQL, all while servicing up to thousands of concurrent users.

Use Existing Analytics Tools

Use investments in familiar data analytics tools

Yellowbrick works seamlessly with leading reporting, BI, and data science tools, including Tableau, SAS, Microsoft Power BI, MicroStrategy, Python, R, and more, supporting the use of existing applications.

Hybrid Cloud Flexibility

Ensure flexibility through support for hybrid and multi-cloud

Unlike purely on-premises or cloud-native options, Yellowbrick lets you natively run mixed workloads wherever it makes the most economical sense: in on-premises data centers, private clouds, or any major public cloud platform.

White Paper:

Unlocking the Value in Data Lakes with Hybrid Cloud Analytics

Yellowbrick Data has re-thought Massively Parallel Processing (MPP) analytic database architecture across storage, CPU, networking, and software to create a purpose-built platform that finally delivers on the data lake promise

Data Lake Whitepaper

The Yellowbrick Data Lake Solution

threatmetrix case study
Case Study:

Data Lake

Download this case study to learn how the Yellowbrick Hybrid Cloud Data Warehouse protects LexisNexis Threatmetrix customers with split-second fraud detection.

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Data Lake Augmentation Exec Brief
Executive Brief:

Data Lake Augmentation

Is your data lake holding you back from harnessing the power of your data? Download the executive brief to see how Yellowbrick supercharges existing data lakes.

Download Executive Brief
Driving Value in Data Lakes
On-Demand Webinar:

Driving Value From Your Data Lake

Enterprises are struggling with massive data stores that are difficult to data mine. Learn how the Yellowbrick Data Warehouse can help you leverage your existing investment and fulfill the promise of your data lake.

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