List of Acceldata Platform Customers
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Since 2010, our global team of researchers has been studying Acceldata Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Acceldata Platform for Database Performance Monitoring from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Acceldata Platform for Database Performance Monitoring include: PhonePe, a India based Banking and Financial Services organisation with 11600 employees and revenues of $2.85 billion, Robi Axiata Limited, a Bangladesh based Communications organisation with 7400 employees and revenues of $890.0 million, PubMatic, a United States based Professional Services organisation with 948 employees and revenues of $267.0 million and many others.
Contact us if you need a completed and verified list of companies using Acceldata Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Acceldata Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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PhonePe | Banking and Financial Services | 11600 | $2.9B | India | Acceldata | Acceldata Platform | Database Performance Monitoring | 2020 | n/a |
In 2020 PhonePe deployed the Acceldata Platform for Data Observability across its open-source Hadoop payments data infrastructure in India. The implementation was used to observe and scale a payments and financial services data estate, growing cluster capacity from approximately 70 to more than 1500 nodes while delivering 99.97% availability and reducing data warehouse costs by about 65 percent.
The Acceldata Platform implementation delivered continuous, operational visibility across HBase, Hive, Kafka and Spark, enabling telemetry, capacity planning and workload performance monitoring consistent with Data Observability practices. Configuration focused on node and service-level instrumentation, cluster health metrics, and alerting thresholds to support sustained scale and to detect degradation before user impact.
Operational coverage targeted PhonePe engineering and data platform teams responsible for payments data flows, with the India-based deployment supporting migrations and software upgrades with no observed performance degradation. The deployment was used to accelerate migrations and upgrades, and it provided the production monitoring required to reduce firefighting time so engineers could focus on higher-value development and optimisation work.
Governance evolved toward monitoring-led operational workflows and standardised upgrade procedures, using Acceldata Platform telemetry as the source of truth for health checks and rollback decisions. The implementation emphasized scaled observability, operational runbooks and automated alerting patterns to support ongoing cluster growth and reliability objectives.
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PubMatic | Professional Services | 948 | $267M | United States | Acceldata | Acceldata Platform | Database Performance Monitoring | 2020 | n/a |
In 2020, PubMatic deployed the Acceldata Platform to provide Data Observability across its hyperscale ad tech data infrastructure. The implementation targeted PubMatic's US and global ad serving environment, instrumenting core advertising and data infrastructure to surface end to end pipeline telemetry and isolate operational bottlenecks.
The Acceldata Platform was configured to deliver continuous observability, anomaly detection, and automated performance remediation across distributed storage and streaming layers. Implementation work focused on telemetry ingestion, metric-based alerting, pipeline health dashboards, and automated actioning to reduce storage inefficiency and operational toil.
Integrations centered on HDFS storage and Kafka streaming as primary operational touch points, with the Acceldata Platform used to consolidate Kafka topologies and rationalize streaming workloads. The deployment covered ad serving data pipelines and associated ingestion systems, improving end to end pipeline reliability and enabling Kafka consolidation efforts.
Governance and rollout were organized around the targeted ad serving environment, with observability-driven operational workflows introduced to enable faster identification and automated mitigation of bottlenecks. The program isolated performance constraints, automated performance improvements that lowered HDFS block footprint by 30 percent, and cut OEM and license costs by millions, delivering measurable infrastructure cost savings and more reliable data pipelines.
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Robi Axiata Limited | Communications | 7400 | $890M | Bangladesh | Acceldata | Acceldata Platform | Database Performance Monitoring | 2022 | n/a |
In 2022, Robi Axiata Limited implemented Acceldata Platform to stabilize and troubleshoot its Hadoop-based analytics and data warehouse supporting telecommunications and customer analytics, Apps Category . The deployment targeted operational observability of ETL pipelines and query performance across the Hadoop cluster used for customer analytics workloads. The Acceldata Platform was positioned as the central instrumentation layer for data reliability and monitoring across analytics pipelines.
The implementation configured the Acceldata Platform to provide automated anomaly detection, pipeline lineage visibility, alerting for data and infrastructure faults, and root-cause analysis workflows. Configuration focused on telemetry collection from Hadoop jobs, metadata capture for datasets and pipelines, and orchestration of investigative playbooks to accelerate troubleshooting. These functional capabilities were applied to incident detection, triage, and resolution processes used by the analytics operations team.
Operationally the Acceldata Platform integration reduced mean time to identify root causes from three to six weeks down to approximately one minute, enabling much faster issue detection and resolution and improving operational turnaround. The rapid detection capability lowered the risk of customer-impacting outages by surfacing dataset and pipeline failures earlier in the runbook, and it centralized diagnostic context for analytics engineers and operations staff.
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