Everything you need to build, govern, and scale data and AI workloads—one unified platform.
Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.
Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.
Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.
Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.
Build, deploy, and manage intelligent agents to automate and optimize data operations.
An open-source data platform for Hadoop modernization, flexibility, and long-term control.
Browse solutions to help you solve the complex business challenges unique to your industry.
"PhonePe’s data infrastructure reliability initiative would never have been possible without Acceldata.”
Browse materials to help you access the tools, guides, and insights essential to your workflows.
How to assess AI data readiness across four stages.
Learn about our mission, leadership, and vision driving modern data operations forward.
How to assess AI data readiness across four stages.
Browse solutions to help you solve the complex business challenges unique to your industry.
"PhonePe’s data infrastructure reliability initiative would never have been possible without Acceldata.”
Browse materials to help you access the tools, guides, and insights essential to your workflows.
How to assess AI data readiness across four stages.
Learn about our mission, leadership, and vision driving modern data operations forward.
How to assess AI data readiness across four stages.
Everything you need to build, govern, and scale data and AI workloads—one unified platform.
Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.
Build, deploy, and manage intelligent agents to automate and optimize data operations.
Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.
Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.
Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.
An open-source data platform for Hadoop modernization, flexibility, and long-term control.
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Monitor, detect, and resolve data issues with end-to-end observability across pipelines.
Monitor, detect, and resolve data issues with end-to-end observability across pipelines.
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AI-powered observability and optimization for Hadoop and big data environments.
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An open-source data platform for Hadoop modernization, flexibility, and long-term control.
SAN JOSE, CALIF. JUNE 29, 2022
Acceldata, the market leader in Data Observability, today announced an integration with Databricks to reduce operational data complexity and maximize return on Databricks investment. Acceldata's data observability for Databricks improves data trust, optimizes performance, and provides spend intelligence for an enterprise’s Databricks environment through a single management dashboard.
The Acceldata Databricks integration offers:
Trust: Deliver high-quality data on time, every time
Scale: Improve data engineering productivity and accelerate adoption
Control: Ensure resources are used efficiently and with guardrails to align cost to value
The Acceldata integration tracks end-to-end data pipeline performance and quality inside and outside of Databricks to ensure data reliability and improve data trust across the entire data environment. The solution includes data performance optimization features, such as automated stability tracking, which help enterprises eliminate bottlenecks and prevent data incidents, which is aligned with an alerting and notification system that enables data teams to predict issues and accelerate remediation. Cost intelligence dashboards offer utilization insight and usage guardrails that improve resource efficiency, eliminate waste and align cost to value for improved spend intelligence and budget forecasting.
"Data observability offers visibility into the entire data pipeline to help customers observe the overall quality and health of their data end-to-end to help predict potential issues and prevent costly data disasters,” said Rohit Choudhary, founder and CEO, Acceldata. “With this integration, Acceldata Data Observability Cloud offers customers an added layer of cost intelligence to help detect and decrease inefficiencies to optimize performance and maximize their Databricks investment."
Acceldata will demonstrate the Databricks integration at booth #942 at the Databricks Data+AI Summit 2022 in San Francisco from June 27-20.
CTAs: Website
About Acceldata
Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise Data Observability Cloud to help enterprises transform their data systems from unreliable, hard-to-scale, and expensive to stable, agile, and cost efficient. Acceldata's products have been embraced by global customers, such as Oracle, PubMatic, PhonePe (Walmart), Pratt & Whitney, and many more. Investors in Acceldata include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, and Emergent Ventures. Contact us to learn about the benefits of multidimensional data observability.
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