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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 This leaves enterprises managing critical data on outdated Hadoop versions without necessary upgrades and support.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.

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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—without the trade-offs.

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Hadoop Remains Complex and Costly

Hadoop remains essential—but enterprises face growing challenges that make it harder to scale, optimize, and sustain.

Limited Visibility & Control

Lack of real-time insights leads to reactive troubleshooting and slower issue resolution.

Talent Shortage & Skill Gaps

A shrinking pool of Hadoop expertise makes it harder to manage and scale environments effectively.

Escalating Costs at Scale

Infrastructure, compute, and storage costs rise quickly as workloads grow—reducing overall ROI.

Operational Complexity & Overhead

Managing diverse components and constant maintenance consumes valuable IT resources.

The Dilemma of Legacy Hadoop Users

No Easy Path—Every Option Comes with Major Trade-offs

Forced Upgrade to Proprietary Hadoop

Increases costs, reduces flexibility, and locks teams into vendor ecosystems—sacrificing open-source benefits and limiting scalability and innovation.

Option 1

Self-Managing a Legacy Hadoop Environment

Demands deep expertise, constant tuning, and high IT effort. As complexity grows, so do inefficiencies and downtime—making long-term sustainability difficult.

Option 2

Migrating to the Cloud

While the cloud offers scalability, migration is costly and complex. Compliance risks, data ownership concerns, and unpredictable expenses make it uncertain at scale.

Option 3

Acceldata: The Answer to Hadoop Complexity

Solving Hadoop’s toughest challenges with open, scalable, and future-ready solutions.

Forced Upgrade to Proprietary Hadoop

ODP
Modernize Open-Source Hadoop

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

Option 1

Self-Managing Hadoop & Cluster Optimization

Pulse
Optimize Hadoop Clusters

Get full visibility and automate performance tuning with real-time insights and intelligent control.

Option 2

Migrating to the Cloud

ODP + Pulse
Simplify Cloud and Hybrid Adoption

Plan and execute cloud transitions with confidence—gain cost insights, usage visibility, and minimal disruption.

Option 3