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 control.
AI-powered observability and optimization for Hadoop and big data environments.
Browse solutions to help you solve the complex business challenges unique to your industry.
"With Acceldata, we can see patterns in our data that we didn't have the time or ability to see before so we can identify risk earlier and stop problems before they become bigger problems."
— SVP, Consumer Data Products, Top National Consumer Bank
"Automated SQL generation could take us from about 20 data quality rules a month to 100 or 200; shortening turnaround times and reducing our dependence on technical teams."
— Product Manager, World's Largest Food and Beverage Company
"FP&A and Supply Chain have greater visibility into forecast scenarios with integrated Salesforce data. This allows Data SMEs to focus on supporting growing business needs instead of firefighting issues."
— VP of AI and Data Analytics, Global Manufacturing Provider
"With Acceldata, we can see patterns in our data that we didn't have the time or ability to see before so we can identify risk earlier and stop problems before they become bigger problems."
— SVP, Consumer Data Products, Top National Consumer Bank
"As we continue to scale our R&D domains, Acceldata's consistent baseline quality metrics has helped us certify data products sooner and give agentic AI pipelines faster access to trusted, governed data."
— Enterprise Data Governance & Global MDM Lead, Top Global Biopharma Company
"With Acceldata, we can see patterns in our data that we didn't have the time or ability to see before so we can identify risk earlier and stop problems before they become bigger problems."
— SVP, Consumer Data Products, Top National Consumer Bank
Browse materials to help you access the tools, guides, and insights essential to your workflows.
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.
"With Acceldata, we can see patterns in our data that we didn't have the time or ability to see before so we can identify risk earlier and stop problems before they become bigger problems."
— SVP, Consumer Data Products, Top National Consumer Bank
Browse materials to help you access the tools, guides, and insights essential to your workflows.
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 control.
AI-powered observability and optimization for Hadoop and big data environments.
Data Quality & Reliability. Harnessing Kafka Streams for Enhanced Real-Time Data Processing. October 21, 2024. 7 minutes. Table of Contents. Text Link.…
Industries like finance, healthcare, and retail use Databricks for big data processing, real-time analytics, and machine learning.…
It is designed to address the limitations of the earlier MapReduce framework by separating resource management from data processing.…
Data processing: In this stage, raw data is cleaned, normalized, and transformed into a usable format.…
Unlike traditional. data warehouses. , data lakes use a schema-on-read approach that demands data processing and conversion into predetermined schemas.…
Is Hadoop still relevant in 2024 for big data? How do companies use Hadoop for data processing? Can Hadoop handle real-time data pipelines? You’re not alone—and this guide has answers.…
Data latency includes several stages of data processing such as data capture, transmission, storage, and retrieval.…
We'll delve into establishing a consistent data-processing schedule, managing data drift, and leveraging real-time alerts for continuous monitoring.…
Data lakes for storing raw, unprocessed data. Data Processing Frameworks. Data processing frameworks enable organizations to extract insights from large datasets.…
The answer lies in advanced technologies such as Hadoop on Azure, which combines the power of big data processing with the agility of the cloud.…