Speedata Launches Workload Analyzer for Enterprises Looking to Accelerate Spark Queries
Speedata, whose Analytics Processing Unit (APU) accelerates big data analytic workloads across industries, today announced the launch of its Workload Analyzer. The browser-based performance predictor tool analyzes Spark log files to help data engineers learn how to maximize workload performance, both in the cloud and on-prem.
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Speedata Launches New Workload Analyzer Tool for Spark Queries
Speedata’s Workload Analyzer tool analyzes log files, providing data engineers and platform administrators with valuable insights into the performance of their Spark queries. The tool demonstrates how an enterprise’s workload would perform in different environments, assisting engineers in determining the impact of certain infrastructure decisions such as deploying a faster network or adding more servers.
Speedata Launches Workload Analyzer - A Tool for Enterprises Looking to Accelerate Spark Queries
Speedata, whose first-of-its-kind Analytics Processing Unit (APU) accelerates big data analytic workloads across industries, today announced the launch of its 'Workload Analyzer.' The browser-based performance predictor tool analyzes Spark log files to help data engineers learn how to maximize workload performance, both in the cloud and on-prem.
How Speedata accelerates Data analytics
Israel-based startup Speedata emerged from stealth nearly a year ago with an infusion of $70 million and is now running its first-generation accelerator chip on simulators and prototypes with multiple customers, some performing demanding analytics on big data.
Workload Analyzer, a Tool From Speedata To Speed up Spark Queries
bSpeedata‘s Workload Analyzer tool analyzes log files, providing data engineers and platform administrators with valuable insights into the performance of their Spark queries. The tool demonstrates how an enterprise’s workload would perform in different environments, assisting engineers in determining the impact of certain infrastructure decisions such as deploying a faster network or adding more servers
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Speedata’s chip accelerates complex pharmaceutical workload from 90 hours to 19 minutes in simulation
Speedata, whose first-of-its-kind Analytics Processing Unit (APU) is designed to accelerate big data analytic workloads across industries, has announced the results of a simulation of its APU on a compound similarity analysis workload in the pharmaceutical industry. Using the APU, the analysis was completed in 19 minutes, compared to 90 hours when using a CPU — a 280x faster result.
Speedata Launches Workload Analyzer
Speedata's Workload Analyzer provides data engineers and platform administrators with valuable insights into the performance of their Spark queries. The tool demonstrates how an enterprise's workload would perform in different environments, assisting engineers in determining the impact of certain infrastructure decisions such as deploying a faster network or adding more servers.
Speedata Launches Workload Analyzer
Speedata announced the launch of Workload Analyzer.
The browser-based performance predictor tool analyzes Spark log files to help data engineers learn how to maximize workload performance, both in the cloud and on-prem.
Speedata's Workload Analyzer provides data engineers and platform administrators with valuable insights into the performance of their Spark queries.
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Getting Technical about the Data Center Revolution with Jonathan Friedmann, CEO of Speedata
Game-changing Results for Drug Discovery in Pharma: Speedata's Chip Accelerates Complex Pharmaceutical Workload from 90 Hours to 19 Minutes in Simulation
Speedata, whose first-of-its-kind Analytics Processing Unit (APU) is designed to accelerate big data analytic workloads across industries, today announced the results of a simulation of its APU on a compound similarity analysis workload in the pharmaceutical industry. Using the APU, the analysis was completed in 19 minutes, compared to 90 hours when using a CPU – a 280x faster result.
Big-data processing chip startup Speedata exits stealth with $55M
Speedata, a startup that’s developing a specialized computer processor for data analytics workloads, exited stealth mode today as it closed on a $55 million funding round that brings its total amount raised to $70 million.
Speedata’s chip for analytics workloads gets a $55M boost
Speedata, a semiconductor infrastructure company developing hardware accelerators for analytics and databases, today announced that it raised $55 million in a series A round led by Walden Catalyst Ventures, 83North, and Koch Disruptive Technologies...
Speedata Exits Stealth with $70 Million in Funding to Develop
First-of-its-Kind Dedicated Analytics & Database Accelerator to Expedite Big Data Analytics
Speedata emerges from stealth with $70M and groundbreaking chip technology to accelerate big data analytics processing
Datacenters are taking on ever-more specialized chips to handle different kinds of workloads, moving away from CPUs and adopting GPUs and other kinds of accelerators to handle more complex and resource-intensive computing demands.
ספידאטה נחשפת עם גיוסים של 70 מיליון ד' - ושבבים שמאיימים לנגוס באינטל
Getting Technical about the Data Center Revolution with Jonathan Friedmann, CEO of Speedata
Are Big Data Frameworks Accelerating to a Dead End?
![AdobeStock_218241712-[Converted].png](https://static.wixstatic.com/media/41b386_a0b41e39fbe54c1b924de6c253d60b1c~mv2.png/v1/crop/x_199,y_0,w_1523,h_1080/fill/w_313,h_222,al_c,q_85,usm_0.66_1.00_0.01,enc_avif,quality_auto/AdobeStock_218241712-%5BConverted%5D.png)
Ushering In A New Wave Of Data Acceleration
2.5 quintillionOpens a new window bytes of data are generated daily, and estimates suggest that big data will continue to grow by 23% annually. This trend has permeatedOpens a new window nearly every corner of the economy – businesses from airlines, banks, and insurance companies to governmental institutions, hospitals, and telecommunication companies have adopted big data analytics to improve business intelligence, promote growth and streamline efficiency.
![AdobeStock_352079780-[Converted].jpg](https://static.wixstatic.com/media/41b386_01beb8c7b98e4c7bb4a391104019f705~mv2.jpg/v1/crop/x_896,y_0,w_2552,h_1810/fill/w_313,h_222,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/AdobeStock_352079780-%5BConverted%5D.jpg)