Unlock the Full Potential of Hadoop
Is your Hadoop ecosystem unmanageable or trapped in vendor lock-in?
Discover a better way with Acceldata.
Managing Hadoop is Getting Tougher
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 This leaves enterprises managing critical data on outdated Hadoop versions without necessary upgrades and support.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.
Self-Managing Hadoop
Maintaining a Hadoop ecosystem independently is daunting, even for experienced professionals, and the ongoing shortage of expertise makes it increasingly difficult.
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.
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.
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:
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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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Frequently asked questions
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.
Acceldata integrates with popular tools like Apache Hive, Apache Spark, Apache Kafka, and other Hadoop ecosystem tools.
Hadoop monitoring focuses on tracking metrics, while Hadoop observability provides deeper insights into system behavior, enabling proactive issue resolution and optimization.
Acceldata's Pulse YARN Optimizer reclaims unused memory, boosts cluster performance, and dynamically adjusts resources for peak efficiency.
Acceldata Pulse is the ideal solution for managing Hadoop data, offering comprehensive observability, performance monitoring, and proactive optimizations.
Yes, Acceldata offers seamless integration with Hadoop, enhancing observability, performance, and scalability without disrupting existing workflows.
Hadoop’s complexity has increased over time with its expanding ecosystem and evolving features, coupled with limited skilled talent.
Yes, Acceldata mitigates migration risks by offering detailed observability, data validation, and proactive issue detection during the migration process.
Yes, ODP (Open Data Platform) powered by Acceldata allows organizations to use the Apache Hadoop ecosystem and open-source tools without vendor lock-ins.
Hadoop is the most cost-effective solution for enterprises managing massive datasets, offering efficient storage, processing, and scalability.
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