Monte Carlo knows a thing or two about reliable data. That’s why we were thrilled when they chose Patch to power the Data Reliability Dashboard their customers use to measure and improve their data quality practices over time. ⚡ Over 130 queries on a single page load with less than 100ms total latency. Aggregations, string searches, range scans, and time grain roll ups - no pre-aggregations or configurations to manage. Their stack? Snowflake + dbt Labs + Patch + Python backend + React frontend. Check out the case study for more details on how they did it! #embeddedanalytics #datawarehouse #graphql https://lnkd.in/erUFYR72
Patch
Data Infrastructure and Analytics
Austin, Texas 271 followers
Get the most from your data warehouse.
About us
You’ve invested a lot in your data warehouse. Patch helps you efficiently run your most intensive workloads, like those powering customer-facing features and expensive batch jobs.
- Website
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https://patch.tech
External link for Patch
- Industry
- Data Infrastructure and Analytics
- Company size
- 11-50 employees
- Headquarters
- Austin, Texas
- Type
- Privately Held
- Founded
- 2021
- Specialties
- data warehouses, snowflake, bigquery, redshift, data platform, data infrastructure, analytics, rest, graphql, APIs, PaaS, developer tools, developer experience, security, saas, enterprise data, compliance, and cybersecurity
Locations
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Primary
Get directions
701 Brazos Street
STE 500
Austin, Texas 78701, US
Employees at Patch
Updates
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Heading into the holiday week with our friends from Snowflake! 🏂 Hear from Whelan Boyd how we're helping to unblock your pipelines and powering faster queries to ensure you get the most from your data warehouse into 2024 and beyond.
In this edition of Startup Spotlight, Patch.tech Co-Founder Whelan Boyd talks about their quest to help developers clear data infrastructure hurdles and build apps faster—a critical element for devs tasked with building data-rich, AI-driven apps. Learn how Patch’s data packages make using Snowflake data in production as simple as importing a code library. https://okt.to/1ZKk20
Patch helps devs unblock pipelines with data packages
snowflake.com
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Can you leverage data from the data warehouse in customer-facing apps? Better yet, should you? In this post, our co-founder Whelan Boyd examines in technical detail why it’s hard to power production features with warehouse data and how Patch — optimizing for performance, reliability, and cost — enables engineering teams to do so. https://lnkd.in/ePi-Dbq8
Why you should not build apps directly on the data warehouse » Patch
patch.tech
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Imagine a world where app developers can perform complex analytical, search, and point read queries over any data with ultra low latency. No more waiting for ETL pipelines or specialized databases to deliver personalized user experiences or customer-facing analytics. In this world, underutilized data is easily translated into customer-facing value as data features are shipped in days, not months. Developers focus on business logic, not data engineering. Before co-founding Patch, Whelan Boyd was a Product manager at Optimizely and Pangaea, where he regularly weighed the effort vs impact ratio of data features and made hard prioritization decisions. Today he takes us through what that exercise looks like in a world with Patch, and how PMs can accelerate their data feature roadmaps. #dataengineering #dataanalytics #dataproducts #productmanagement https://lnkd.in/eteeWDfM
Accelerate your data roadmap: from tables to code in seconds » Patch
patch.tech