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Unlock the Full Potential of Hadoop

Is your Hadoop ecosystem unmanageable or trapped in vendor lock-in?
‍Discover a better way with Acceldata.

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Managing Hadoop is Getting Tougher

Limited support for open-source Hadoop.

Forced proprietary upgrades causing vendor lock-in.

Shortage of experienced Hadoop professionals.

Challenges with large volumes and diverse data types.

Uncertainty around cloud migration costs and risks.

The Dilemma of Legacy Hadoop Users

As the industry moves to cloud-based solutions, traditional vendors have phased out support for open-source and on-premise Hadoop. This leaves enterprises managing critical data on outdated Hadoop versions without necessary upgrades and support. Consequently, organizations face two challenging options, neither of which adequately resolves the issues they encounter with their Hadoop clusters.

Forced Upgrade to Proprietary Software

Switching to proprietary software means losing the benefits of open-source Hadoop and incurs significant migration costs, support expenses, and transition risks.

Option 1

Self-Managing Hadoop

Maintaining a Hadoop ecosystem independently is daunting, even for experienced professionals, and the ongoing shortage of expertise makes it increasingly difficult.

Option 2

Discover a Better Way with Acceldata

Acceldata not only understands these challenges but also stands out as the only viable solution for today’s data-driven enterprises.

Open Data Platform (ODP)

ODP (Open Data Platform) is an innovative "Interoperable Data & AI Platform" from Acceldata, empowering data-driven enterprises. It allows data leaders to leverage the Apache Hadoop ecosystem and open-source tools while avoiding vendor lock-in and proprietary traps.

Explore ODP

Pulse

Pulse is a Data Observability solution for Hadoop. It simplifies cluster management, speeds up root cause analysis, and automates correlations between configurations, resource usage, and load patterns, enhancing efficiency while reducing data quality issues and costs.

Explore Pulse

Achieve Measurable Results in Days

Easily get started and achieve measurable outcomes across your Hadoop ecosystem. Here are a few metrics our customers have achieved:

20%

Reduction in infrastructure costs in the first 2 weeks

95%

Reduction in SEV (severity) 1 incidents

35%

Lower infrastructure costs due to  utilization insights & automated recommendations

90%

Reduction in MTTR (mean time to resolution)

30%

Improvement in capacity and throughput

300%

Improvement in worker productivity

RESOURCES & NEWS

Latest from the World of Hadoop

BLOG

Discover Hadoop’s Legacy and Future Potential

Watch the On-Demand Webinar to Explore Hadoop’s History, Benefits, Challenges, and Strategies to Maximize Your Investment.

Watch Now

Pubmatic Automates and Optimizes Big Data Performance

Acceldata isolated bottlenecks, automated performance, and optimized data to scale our big data environments and support critical analytics.

Ashwin Prakash, Engineering Leader, Pubmatic

Read Customer Story

PhonePe Scales Seamlessly and Supports Hyper-Growth

Acceldata supports our hyper-growth, managing one of the world's largest instant payment systems. PhonePe's data infrastructure reliability wouldn't be possible without Acceldata.

Burzin Engineer, Founder & Chief Reliability Officer, PhonePe

Read Customer Story

Jebastin R.

SRE - Enterprise

The HBase visualization which no where in the market we can find and ultimate alert integration for all components in Hadoop ecosystem

Acceldata User

Enterprise (>1000 emp.)

Ease of monitoring of HDFS service. Can create custom dashboards for HDFS small files, which helps in reduction in high block count.

Siva Reddy

Application / SW Development / Support - Enterprise

The seamless integration of the monitoring tool Pulse with ODP provides comprehensive statistics of components and alerts, which I find to be remarkably impressive.

Acceldata User

Mid-Market (51 - 1000 emp.)

From the Pulse Product it has become very easy to navigate the HDFS and find minute details where the problem lies.

FNU R.

Data Infra Architect - Small - Business (50 or Fewer emp.)

Very useful in troubleshooting Spark and Hive issues and also proactively keeping the services/cluster healthy.

Prashanth. S

Director, Platform Engineering and Data Operations - Enterprise (>1000 emp)

Acceldata has been instrumental in enhancing our data platform management capabilities. Their solutions not only ensure platform stability but also drive significant cost savings.

FAQ

Frequently asked questions

What are the four pillars of Hadoop Observability?

The four pillars of Hadoop Observability are:

Performance Monitoring: Tracking system health and efficiency.
Resource Optimization: Ensuring optimal resource utilization.
Workflow Analysis: Understanding and improving job execution.‍
Error Diagnosis: Identifying and resolving failures quickly.

Which tools can I easily integrate with Acceldata’s Hadoop Open Data Platform?

Acceldata integrates with popular tools like Apache Hive, Apache Spark, Apache Kafka, and other Hadoop ecosystem tools.

How is Hadoop monitoring different from Hadoop Observability?

Hadoop monitoring focuses on tracking metrics, while Hadoop observability provides deeper insights into system behavior, enabling proactive issue resolution and optimization.

How does Acceldata contribute to YARN observability?

Acceldata's Pulse YARN Optimizer reclaims unused memory, boosts cluster performance, and dynamically adjusts resources for peak efficiency.

Which data observability solution should I prefer to manage Hadoop data?

Acceldata Pulse is the ideal solution for managing Hadoop data, offering comprehensive observability, performance monitoring, and proactive optimizations.

Is Hadoop integration seamless with Acceldata?

Yes, Acceldata offers seamless integration with Hadoop, enhancing observability, performance, and scalability without disrupting existing workflows.

Why is Hadoop becoming difficult to manage?

Hadoop’s complexity has increased over time with its expanding ecosystem and evolving features, coupled with limited skilled talent.

Can I minimize the risks involved in migration while using Acceldata with the Hadoop platform?

Yes, Acceldata mitigates migration risks by offering detailed observability, data validation, and proactive issue detection during the migration process.

Is there a way to avoid vendor lock-ins in Hadoop?

Yes, ODP (Open Data Platform) powered by Acceldata allows organizations to use the Apache Hadoop ecosystem and open-source tools without vendor lock-ins.

Why are enterprises using the Hadoop platform?

Hadoop is the most cost-effective solution for enterprises managing massive datasets, offering efficient storage, processing, and scalability.

Ready to unleash the full potential of Hadoop?

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Modern Hadoop Starts Here

Acceldata helps you modernize, optimize, and future-proof your Hadoop environment—flexibly, efficiently, and without compromise.

Book Demo

Get Guide

Trusted by the World’s Leading Enterprises

Hadoop Still Powerful — But Becoming a Liability

Hadoop remains essential—but its cost, complexity, and skills gap make it harder to scale and sustain.

Limited Visibility & Control

Without real-time insights, teams stay reactive—slowing resolution and hurting performance.

Shrinking Talent, Rising Risk

Hadoop expertise is declining, increasing operational strain and long-term risk.

Rising Costs, Lower ROI

As data grows, so do infrastructure costs—without proportional business value.

Fragmented Stack, High Overhead

Constant tuning across YARN, Hive, HDFS, and Spark slows innovation and drains IT resources.

Every Hadoop Modernization Path Is Risky

Modernizing Hadoop is essential—but every path comes with trade-offs. Teams must balance cost, complexity, and control without giving up performance or long-term flexibility.

Forced Upgrade to Proprietary Hadoop

Higher costs, reduced flexibility, and vendor lock-in with little room to innovate.

Option 1

Self-Managing a Legacy Hadoop Stack

Constant tuning and deep expertise required—complexity grows, sustainability drops.

Option 2

Migrating to the Cloud

Promises scalability, but brings risk: high costs, replatforming effort, and compliance challenges.

Option 3

Fixing Hadoop Without Compromise

Acceldata solves Hadoop’s toughest challenges with open, scalable, and intelligent solutions—giving you a clear, flexible path forward.

Forced Upgrade to Proprietary Hadoop

Challenge 1

Self-Managing Hadoop & Cluster Optimization

Challenge 2

Migrating to the Cloud

Challenge 3

ODP

Modernize open-source Hadoop without vendor lock-in.

Upgrade without lock-in. Retain flexibility and maximize existing infrastructure with a modular, open-source platform.

Pulse

Optimize Hadoop clusters with intelligent observability.

Gain real-time visibility, improve reliability, and reduce operational overhead.

ODP + Pulse

Simplify cloud and hybrid adoption.

Migrate with confidence using cost insights and workload analytics—fast, low-risk, and ROI-driven.

Why Acceldata Is Your Best Choice

Acceldata helps you modernize Hadoop with flexibility, efficiency, and intelligence—on your terms, at your pace, and built to scale.

Modernize Hadoop

Transform legacy environments with open-source flexibility, real-time insights, and scalable infrastructure.

Optimize Resources

Improve efficiency, reduce costs, and eliminate bottlenecks—without overprovisioning.

Seamless Transitions

Migrate to cloud or hybrid with low-risk, high-ROI strategies and minimal disruption.

Flexible & Scalable

Deploy modular platforms that scale with your workloads and integrate easily into existing environments.

Complete Observability

Monitor infrastructure, jobs, and users—on-prem, in the cloud, or across hybrid setups.

AI-Driven Innovation

Automate operations, accelerate troubleshooting, and unlock faster, smarter insights.

Ultimate Hadoop Guide for 2025

Explore modernization strategies, migration paths, and real-world success stories—all in one actionable resource.

Get Guide

Arunkumar S.

Client Engagement Partner - Enterprise ( >1000 emp.)

It's a great tool to leverage on day to day basis to enable zero touch operations, monitor data usage and performance tuning.

Jebastin R.

SRE - Enterprise (>1000 emp.)

The HBase visualization which no where in the market we can find and ultimate alert integration for all components in Hadoop ecosystem

Himanshu J.

Manager, Big Data Platform, Big Data Platform - Mid-Market (51 - 1000 employees)

In terms of Ease of Integration, I have found that the Acceldata Product Pulse is very user-friendly and integrates seamlessly with our existing systems.

Acceldata User

Enterprise (>1000 emp.)

Ease of monitoring of HDFS service. Can create custom dashboards for HDFS small files, which helps in reduction in high block count.

Acceldata User

Mid-Market (51 - 1000 emp.)

From the Pulse Product it has become very easy to navigate the HDFS and find minute details where the problem lies.

Acceldata User

Mid - Market - (51 - 1000 emp.)

The Pulse tool is very useful and the support team is very helpful.

Choose Your Hadoop Path Forward

Purpose-built for enterprise-scale Hadoop—flexible, intelligent, and ready for what’s next.

Open Data Platform (ODP)

Modernize your Hadoop stack with an open, modular architecture built for hybrid and cloud-ready deployments.

Explore ODP

Pulse

Gain deep visibility, optimize performance, and automate issue resolution with AI-powered observability.

Explore Pulse

Ready to Modernize Hadoop?

Get expert guidance on the best path forward—no pressure, just answers.

Book Free Consultation

Unlock the Full Potential of Hadoop

Managing Hadoop is Getting Tougher

The Dilemma of Legacy Hadoop Users

Forced Upgrade to Proprietary Software

Self-Managing Hadoop

Discover a Better Way with Acceldata

Open Data Platform (ODP)

Pulse

Achieve Measurable Results in Days

Latest from the World of Hadoop

Pulse Year in Review 2024: Elevating Data Excellence to New Heights

Pulse Yarn Optimizer: Unlock Hidden Potential in Your Hadoop Environment

Hadoop vs. Spark: How to Choose

Discover Hadoop’s Legacy and Future Potential

Pubmatic Automates and Optimizes Big Data Performance

PhonePe Scales Seamlessly and Supports Hyper-Growth

Users Love Us

Jebastin R.

Acceldata User

Siva Reddy

Acceldata User

FNU R.

Prashanth. S

Frequently asked questions

Ready to unleash the full potential of Hadoop?

Modern Hadoop Starts Here

Hadoop Still Powerful — But Becoming a Liability

Limited Visibility & Control

Shrinking Talent, Rising Risk

Rising Costs, Lower ROI

Fragmented Stack, High Overhead

Every Hadoop Modernization Path Is Risky

Forced Upgrade to Proprietary Hadoop

Self-Managing a Legacy Hadoop Stack

Migrating to the Cloud

Fixing Hadoop Without Compromise

Forced Upgrade to Proprietary Hadoop

Self-Managing Hadoop & Cluster Optimization

Migrating to the Cloud

Why Acceldata Is Your Best Choice

Modernize Hadoop

Optimize Resources

Seamless Transitions

Flexible & Scalable

Complete Observability

AI-Driven Innovation

Ultimate Hadoop Guide for 2025

Users Love Us

Arunkumar S.

Jebastin R.

Himanshu J.

Acceldata User

Acceldata User

Acceldata User

Choose Your Hadoop Path Forward

Open Data Platform (ODP)

Pulse

Latest Hadoop Resources

Is Hadoop Still Worth It?

Pulse Year in Review 2024: Elevating Data Excellence to New Heights

Pulse Yarn Optimizer: Unlock Hidden Potential in Your Hadoop Environment

Ready to Modernize Hadoop?