Data Management for Hadoop and Beyond

AI-powered optimization to boost performance, scalability, and reliability across Hadoop and modern data ecosystems.

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Maximize ROI & Performance

Optimize Resources

Maximize HDFS storage and compute without expanding infrastructure.

Proactive Issue Resolution

Accelerate root-cause analysis with intelligent alerts and self-healing.

Real-Time Performance Monitoring

Track and maintain peak performance across your Hadoop clusters.

Bridge Skill Gaps

Automate routine tasks and tap into expert-level support on demand.

Streamline Open-Source Operations

Easily manage your Apache Hadoop ecosystem and all its components.

Plan Smarter Cloud Migrations

Transition to the cloud with confidence using expert-driven planning.

Pulse YARN Optimizer

Dynamic Resource Optimization

Boost performance and efficiency—no code changes required.

Eliminate Resource Waste

Reclaim idle memory and reduce operational overhead.

Maximize Cluster Performance

Safely overcommit memory to accelerate jobs without risk.

Continuously Optimize

Auto-adjust allocations in real time for peak efficiency.

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Get End-to-End Visibility

Node hot spotting, including edge nodes.

Capacity planning and JVM tracking.

Resource optimization and throughput analysis.

Hardware failure alerting and system telemetry.

Centralized log viewing.

Service-level insights across multi-cluster environments.

Distro-independent support: NIFI, Spark, Kafka & more.

Chargeback reporting and advanced alerting.

Dashboard Studio Builder for custom views.

Event/schedule-based self-healing with automated actions.

Runtime config recommendations via simulation.

Query anomaly detection & bottleneck analysis.

Task-level skew/waste analysis.

App fingerprinting, benchmarking & heuristics.

Error categorization and log-based troubleshooting.

Storage & compute footprint analysis.

Auto-reports on small/unused files.

Usage trends and anomaly detection.

Top N table/column reports.

Partitioning & bucketing design insights.

Unlock Value Fast

Get started quickly and drive measurable results across your Hadoop ecosystem.

Control Costs & Maximize Value

Cut infrastructure costs by 20% in 2 weeks.

Support legacy Hadoop with lower migration risk.

Save 30%+ with smart usage and efficiency insights.

Get expert support with SLA-backed service packages.

Boost Reliability & Performance

Reduce Severity 1 incidents by 95%+

Detect and fix bottlenecks faster.

Accelerate dev and scale production smoothly.

Resolve issues in real time with self-healing automation.

De-risk Cloud Migration & Maximize ROI

Simplify migration by eliminating redundant data.

Benchmark performance across Snowflake, Databricks, and more.

Optimize cloud costs and boost hybrid ROI.

Migrate smarter with full visibility into usage and spend.

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

$2M

saved annually on OEM costs

Read Customer Story

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

46%

improvement in data quality

Read Customer Story

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

See Pulse in action?

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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.

Pulse: Data Observability for Your Hadoop Cluster

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

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

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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