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Supercharge Your Hadoop Clusters

Boost performance, scalability, and reliability to achieve operational excellence throughout your Hadoop ecosystem.

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Acceldata Open Data Platform

Pulse : Data Observability for Your Hadoop Cluster

Boost performance, scalability, and reliability to achieve operational excellence throughout your Hadoop ecosystem.

Book a Demo
Acceldata Open Data Platform
Pulse Yarn Optimizer
TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Hadoop Challenges Slowing You Down?

Increasing costs and operational inefficiencies.
Limited skilled resources to manage complexity.
Frequent disruptions impacting productivity.
Struggles to scale with growing business demands.
Uncertainty around cloud migration strategies.

Achieve Operational Excellence with Pulse

Optimize ROI

Maximize HDFS storage and computational efficiency without expanding infrastructure.

Proactively Resolve Challenges

Diagnose outages and performance issues using advanced alerting and automated self-healing.

Enhance Performance Monitoring

Leverage advanced tools to ensure peak performance of Hadoop clusters.

Bridge Expertise Gaps

Access on-demand Hadoop expertise and automate routine maintenance tasks.

Streamline Operations

Manage your Apache open-source Hadoop ecosystem and its components easily.

Cloud Readiness

Transition Hadoop workloads to the cloud as needed with expert guidance.

Eager to harness Hadoop fully?

Get this guide for insights on Hadoop ecosystem challenges, solutions, success stories, and more.

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Get Complete Visibility Across

Infra & Services

Node hot spotting edge nodes inclusive

Capacity Planning

JVM tracker

Throughput analysis

Alerting H/W failures

System Telemetry

Centralized Log view

Resource optimisation

Platform

Service level Observability support

Chargeback reporting

Distro-independent along with multi-cluster support including standalone NIFI, SPARK, KAFKA

Advanced alerting

Dashboard Studio Builder

Event or schedule based automated self-healing with Actions

Applications

Runtime configuration recommendations using simulation

Query Anomaly detection

Resource wastage and skewness identification for tasks

Benchmarking and heuristic trend

Resource Optimizer

Bottleneck Analysis

App Fingerprinting

Error categorization

Log troubleshooting

User Analytics

Storage & Compute footprinting

Scheduled report on small & unused files

Usage pattern insights

Anomaly on table storage patterns

Top N report on tables/columns usage and efficiency

Partitioning & Bucketing design

Minimize Severity 1 Incidents

Predict and Prevent Incidents
Reduce severity 1 incidents by over 95%.
Optimize Performance
Quickly detect and eliminate bottlenecks to accelerate development and improve production scalability.
Automated Self-Healing
Proactively identify and resolve recurring issues in real-time with predefined automated playbooks.

Plan & Support

Choose the right plan to get the exact support & service you need.
Features
Standard
Enterprise
Enterprise+
Gold
Pulse Compute Observability + OEM support
Use Case-based training
Support portal access
SLA-based platform support on supported versions of ODP, HDP, CDH & CDP (24x7x365)
Limited
Patch/hotfix for specific Apache components on supported stack
Named SRE support

Discover a fully open-source platform

Say goodbye to vendor lock-in and navigate your Hadoop journey freely.

Explore ODP

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

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

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.

Ready to see Pulse in action?