Cost Optimization
for Hadoop

Eliminate cost surprises and overruns. Control total cost of data on your Hadoop platform.

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Benefits for Hadoop users

Stop

Wastage due to runaway consumption and spikes

Trace

Why and who caused cloud data cost overruns with 65% faster MTTR

Forecast

Cloud data and compute budgets with 97% predictive accuracy

Continuously x-ray your cloud data costs and usage on Hadoop. Optimize ROI with sharp recommendations

Reduce infrastructure costs by 20% in first 2 weeks

Sustain legacy environments:

Avoid risk and cost of migrations that yield little value

Leverage Open Source:

Move to a 100% open source community supported Hadoop (ODP) with no vendor lock-in, and save millions on licensing for the software you are currently using

Get superior support & services:

Leverage Acceldata’s services and support packages for HDP, CDH and Apache with superior SLAs

FOR PLATFORM TEAMS

Lower Infrastructure Costs with Reduced SEV 1 incidents

Predict & prevent incidents:

Achieve a 95%+ reduction in sev 1 incidents Scale performance

Easily identify & eliminate bottlenecks:

to accelerate development and scale in production

Reduce infrastructure costs:

Utilization insights and efficiency recommendations to lower infrastructure costs by 30% or more

FOR PLATFORM & DATA TEAMS

De-risk Hadoop to Snowflake & Databricks Migration

Shift clean:

Identify and eliminate unused data to simplify migrations, improve performance, and save unnecessary costs

Automate validation:

Ensure both data and performance are equivalent, even across disparate technologies such as Databricks and Snowflake

Cost optimization:

Measure resource usage and cost to get the best ROI from your hybrid cloud strategy

Get a Personalized Demo

We’re excited to give you a personalized demo that will show you how to:

Reduce costs in your cloud data-warehouse by 30% or more

Improve data rules processing performance by more than 10X with automated data quality monitoring, data reconciliation and detection of schema drift, data drift and more

Reduce data costs and MTTR by 96% by monitoring data pipelines end-to-end, identifying and eliminating performance bottlenecks in data streaming, batch processing, queries, and other workloads

Cost Optimization for Hadoop