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High-Performance Spark Engine for
Modern Data Teams

Run critical pipelines 4–10× faster, reduce cloud spend by 60–80%
with no code refactoring or vendor lock-in
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No vendor lock-in
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Runs parallel with current ecosystem
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Battle-tested architecture
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Built to run parallel with every
Spark platform, cloud, and catalog

Native integrations for orchestration, monitoring, cataloging, and AI services.

Enterprise-ready deployment in minutes

  • SOC 2 Type II Compliant
  • Enterprise-grade security and data protection
  • Full onboarding of all your production jobs in minutes, so you can get value right away
AICPA_SOC
Orchestration
Orchestration
Airflow, Prefect
Catalogs
Catalogs
Hive metatore, Unity Catalog, Glue Catalog
Monitoring and observability
Monitoring and Observability
Grafana, CloudWatch, Splunk
Open table
Open Table Formats
Delta, Iceberg
Windsurf, OpenAi
AI Services​
Anthropic, Windsurf, OpenAI
Existing platforms
Existing Platforms
Databricks, Cloudera, Amazon EMR
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What Our Customer are Saying

Rising data platform costs are among the biggest challenges enterprises face today. Yeedu provides a transformative solution that drastically reduces expenses and eliminates this critical barrier, empowering organizations to focus on driving innovation and achieving their goals.

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Dr. Mark Ramsey

Ex-Chief Data Officer, GSK & Samsung Mobile
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Traditional data platforms charge based on cloud resource consumption, such as the number of cores and hours used. The more you consume, the more they profit - leaving the problem of high cloud costs unaddressed. Using Yeedu turns their inertia into your benefit.

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Milind Chitgupakar

Founder & CEO, Yeedu
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We are thrilled to explore the vast possibilities that Yeedu introduces to our enterprise. With its cloud-agnostic compute management plane, Yeedu enables us to scale our computational tasks to the required dimensions efficiently. This capability allows us to optimize our cloud compute costs effectively compared to other available tools in the market, while consistently maintaining high performance standards.

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Senior Director

Top 5 Healthcare Insurer
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Based on what we see in production we anticipate up to 65% annual cost savings with Yeedu.

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Director

Top 5 Pharma
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Key Features: What Makes Yeedu
a
High-Performance Spark Platform

Connect Your Data Estates Without the Stress. No Vendor Lock-In, Promise!

Property Overview
Stay in control of your properties anytime, anywhere—right from your phone or tablet.
Mobile Access
Stay in control of your properties anytime, anywhere—right from your phone or tablet.
Secure & Compliant
Stay in control of your properties anytime, anywhere—right from your phone or tablet.
Rent Collection
Stay in control of your properties anytime, anywhere—right from your phone or tablet.
Query Type Execution Time ⏱ Time Saved (%) Cost 💰 Cost Saved (%)
Yeedu Databricks Yeedu Databricks
Simple 30s 10m 32s 95.25% $0.0024 $0.0506 95.25%
Medium 5m 51s 14m 32s 59.75% $0.0281 $0.0698 59.75%
Selective 1m 58s 5m 54s 66.67% $0.0094 $0.0283 66.67%
Complex 32m 18s 46m 22s 30.33% $0.1550 $0.2226 30.33%
🔥 Total Savings Up to 9 mins faster Average 63% Up to $0.068 cheaper Average 63%

Rearchitected Vs Traditional Spark Stress Test

The commonly used dataset, the New York City Yellow Cabs, was used for the stress test to standardize the dataset and results.

Step 1: Parking the Data​
Step 2: Evaluating Startup Overhead​
Step 3: Running the Queries​
Step 4: Analyzing the Results​

Rearchitected Vs Traditional Spark Stress Test

The commonly used dataset, the New York City Yellow Cabs, was used forthe stress test to standardize the dataset and results.

Frequently Ask Questions

What Industries Do You Specialize In?
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What Is Your Fee Structure?
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How do you price your services?
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What Is Your Experience Level?
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Do You Offer Free Consultations?
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What Is Your Approach to Consulting?
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Step 1: Parking the Data​
Step 2: Evaluating Startup Overhead​
Step 3: Running the Queries​
Step 4: Analyzing the Results​

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