DATA MECHANICS
Data Mechanics is a managed Spark platform for data scientists and engineers. The platform tunes the infrastructure parameters (e.g. CPU, Memory) and Spark configurations (e.g. parallelism, shuffle, I/O) automatically and continuously for every pipelines to make them stable and performant, and provide an easy-to-use serverless experience to its users.
DATA MECHANICS
Industry:
Analytics Big Data Computer Information Technology Software
Founded:
2019-01-01
Address:
San Francisco, California, United States
Country:
United States
Website Url:
http://www.datamechanics.co
Total Employee:
1+
Status:
Active
Email Addresses:
[email protected]
Total Funding:
150 K USD
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Google Analytics LetsEncrypt Apple Mobile Web Clips Icon Google Tag Manager Content Delivery Network Google Universal Analytics
Current Employees Featured
Founder
Investors List
AGORANOV
AGORANOV investment in Non Equity Assistance - Data Mechanics
Y Combinator
Y Combinator investment in Seed Round - Data Mechanics
Guillaume Lestrade
Guillaume Lestrade investment in Seed Round - Data Mechanics
Eduardo Ronzano
Eduardo Ronzano investment in Seed Round - Data Mechanics
Official Site Inspections
http://www.datamechanics.co
- Host name: aacb0a264e514dd48.awsglobalaccelerator.com
- IP address: 99.83.190.102
- Location: Seattle United States
- Latitude: 47.54
- Longitude: -122.3032
- Metro Code: 819
- Timezone: America/Los_Angeles
- Postal: 98108
More informations about "Data Mechanics"
Data Mechanics - Crunchbase Company Profile & Funding
Contact Email [email protected] Data Mechanics is a managed Spark platform for data scientists and engineers. The platform tunes the infrastructure parameters (e.g. CPU, …See details»
Data Mechanics - Y Combinator
2019-2021: Co-Founder & CEO at Data Mechanics (YC S19 Batch, B2B Data Engineering Platform). Acquired by Spot in 2021, worked as a PM there until September 2022. Now …See details»
Data Mechanics (acq. by Spot by NetApp) | LinkedIn
Data Mechanics was a YCombinator-backed startup in the data infrastructure space - a cloud-native data engineering platform making Apache Spark more developer friendly and cost-effective. Data ...See details»
Data Mechanics Company Profile 2024: Valuation, Investors
Data Mechanics General Information Description. Developer of an engineering platform designed to automate performance tuning for engineers. The company's platform offers to automate …See details»
Data Mechanics Company Profile | Management and Employees …
Www.datamechanics.co . Data Mechanics Profile and History. Run continuously optimized Apache Spark workloads on a Kubernetes cluster in your cloud account (AWS, GCP, or Azure). Focus …See details»
Introducing Data Mechanics - Data Mechanics Blog
Our serverless data platform automates the tuning of infrastructure parameters and Spark configurations dynamically and continuously for each workload to make them fast and stable …See details»
Data Mechanics - Company Profile - Tracxn
Nov 26, 2024 Data Mechanics - Performance management solution for Apache Spark. Acquired by NetApp. Raised a total funding of $150K over 1 round from 3 investors. Founded by Jean …See details»
NetApp Acquires Data Mechanics to Accelerate Spot Roadmap …
SUNNYVALE, Calif.— June 22, 2021 — NetApp ® (NASDAQ: NTAP), a global, cloud-led, data-centric software company, today announced that it has acquired Data Mechanics, a managed …See details»
Data Mechanics - Overview, News & Competitors | ZoomInfo.com
View Data Mechanics (www.datamechanics.co) location in California, United States , revenue, industry and description. Find related and similar companies as well as employees by title and …See details»
What is Data Mechanics | Data Mechanics documentation
Data Mechanics is a managed Spark platform - a more developer-friendly and cost-effective alternative to services like Databricks, EMR, Dataproc, Azure HDInsight, etc. It is deployed on …See details»
How We Built A Serverless Spark Platform On Kubernetes - Data …
Sep 8, 2020 Instead, the Data Mechanics fee is based on the sum of the duration of all the Spark tasks (the units of work distributed by Spark, reported with a millisecond accuracy). This …See details»
Data Mechanics - GitHub
Aws-glue-data-catalog-client-for-apache-hive-metastore Public Forked from awslabs/aws-glue-data-catalog-client-for-apache-hive-metastore The AWS Glue Data Catalog is a fully …See details»
The Data Mechanics LLC in Orange City, FL - (386) 774-5345 - Profile
The Data Mechanics LLC is in the Mechanical Engineering business. View competitors, revenue, employees, website and phone number.See details»
Spark on Kubernetes Made Easy: How Data Mechanics Improves …
Dec 2, 2020 Co-Founder @Data Mechanics, The Cloud-Native Spark Platform Senior Product Manager @ Spot.io — Building Ocean for Spark Former software eng @Databricks. Follow …See details»
Released: Free Cross-platform Spark UI & Spark History Server
Nov 16, 2020 Create an account on https://delight.datamechanics.co/login. You should use your company’s Google account if you want to share a single dashboard with your colleagues, or …See details»
Data Mechanics Docker images
How to use those images for your apps and jobs?# When submitting Spark apps on the Data Mechanics platform, you can: Omit the image field: in this case, spark:platform will be used by …See details»
Delight: The New & Improved Spark UI & Spark History Server is …
A hosted backend responsible for collecting these metrics, parsing them, and hosting the dashboard at https://delight.datamechanics.co High-level architecture: an open-source agent & …See details»
Configuration management | Data Mechanics documentation
Data Mechanics merges the configurations in config template my-template and in the config overrides. The configuration in configOverrides has higher precedence than the config …See details»
Data Mechanics - Blog
Apache Spark 3.2 Release: Main Features and What's New for Spark-on-Kubernetes. Apache Spark 3.2 is now released and available on our platform. Spark 3.2 bundles Hadoop 3.3.1, …See details»