🤔 Did you know that All-Purpose Compute clusters can cost up to 50% more than Job clusters for the same batch workload? Learn how to make smarter choices for your Databricks setup: ⚙️ Understand cluster types and their ideal use cases ⚖️ Balance performance needs with budget constraints 💥 Leverage advanced features like Photon and autoscaling Read all about it in this guide: https://lnkd.in/gF_htxpw
Sync Computing
Data Infrastructure and Analytics
Cambridge, Massachusetts 2,436 followers
Radically transform cloud infrastructure with ML-powered job clusters to hit SLA goals and lower Databricks costs by 50%
About us
Spun out of MIT, Sync is a company founded on making data and AI cloud infrastructure easier to control. Gradient by Sync, enables you to grain full command over your Databricks ecosystem with AI-driven optimization that saves engineering time and reduce your compute spend by up to 50%
- Website
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http://www.synccomputing.com
External link for Sync Computing
- Industry
- Data Infrastructure and Analytics
- Company size
- 11-50 employees
- Headquarters
- Cambridge, Massachusetts
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Cloud Computing, Cloud Infrastructure, Apache Spark, Databricks, Optimization, Data Orchestration, Machine Learning, Artificial Intelligence, Data Cost Reduction, Cloud Cost Optimization, Data Infrastructure, DBU and Cloud Cost Optimization, Custom Trained ML Models, Metrics Monitoring , Data Observability, Data Anomolies, Databricks Optimization on AWS, and Databricks Optimization on Azure
Products
![Click here to view Gradient]()
Gradient
Cloud Monitoring Tools
Gradient is the world's only AI compute optimization engine, driving up to 50% cost reduction in Databricks compute costs. Straight out of MIT, Gradient uses advanced, self-improving ML models to provide intelligent insights and customized optimizations that cut job costs and improve performance.
Locations
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Primary
Get directions
501 Massachusetts Ave
Cambridge, Massachusetts 02139, US
Employees at Sync Computing
Updates
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Ready to supercharge your cloud infrastructure? 🚀 Discover how Gradient’s AI effortlessly teams up with Terraform, giving your setup a major upgrade. Check it out 👇 https://hubs.ly/Q02_c0_40
Integrating Gradient with Terraform
https://synccomputing.com
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🚀This intro guide to Databricks compute will get you up to speed quickly! Whether you're a veteran data engineer or a newcomer to the data infrastructure scene, this post offers insights to help you master and fine-tune your cluster setups for maximum efficiency and cost-effectiveness. Check it out: https://hubs.ly/Q02_2dKb0
Databricks 101: An Introductory Guide on Navigating and Optimizing this Data Powerhouse
https://synccomputing.com
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Hey Databricks users! 👋 Ever wondered which compute option gives you the most bang for your buck? We ran the TPC-DI benchmark and saw pretty significant price differences: 💰Classic compute: The budget-friendly champ 🏋️♂️ DBSQL: The middle-ground option 💸 Jobs Serverless: The price of convenience Not sure which one is the right choice for your workloads? Read our latest blog! https://lnkd.in/gQva4Z4d
Databricks Compute Comparison: Classic Jobs vs Serverless Jobs vs SQL Warehouses
https://synccomputing.com
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Sync Computing reposted this
🔥🔥 Hot Tip: One interesting user behavior we're seeing is the use case of highly variable data sizes for their Databricks workflows and the issues it causes. Let's say you have a job that runs hourly, and at random parts of the day your data size may jump from 10 GB to 1000 GB. What we see people do today is everything goes to 1 job, which is 1 large cluster to suppor the 1000 GB use case. This "one size fits all" approach typically leads to: - Overprovisioned clusters - Wasted costs - Highly inconsistent runtimes which may impact SLAs One recommendation we have is to split up your job based on your data size. If you have large swings in data size (e.g. >2x), this approach can lead to much more efficient and consistent pipelines. Of course, you can use Gradient to manage all the sub-tasks to ensure costs and runtimes are auto-tuned for each data size. Sync Computing #dataengineering #databricks
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Sync Computing reposted this
🤝 New Partnership Alert! ⚠️ Apex and Sync Computing are pleased to announce our strategic alliance! This collaboration will enhance the development of Gradient by Sync, a cutting-edge AI-based compute optimization engine for Databricks. Gradient revolutionizes the field with its machine-learning powered optimization, which enables a single engineer to efficiently optimize thousands of workloads and save up to 50% on compute. This partnership allows us to cater to today's enterprise with large scale optimization and management services. We look forward to tackling challenges with Sync! #partners #artificialintelligence #optimization #innovation
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🎉 Exciting announcement! Sync his SOC 2 Type II compliant! By meeting the stringent requirements of SOC 2 Type II, we are reinforcing our promise to provide a secure and dependable environment for users, giving them peace of mind and confidence in our solutions. Check out the full announcement 👇 https://hubs.ly/Q02W4Wdr0
Sync achieves SOC 2 Type II compliance - Sync
https://synccomputing.com
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🎉 Exciting news! A leading AdTech company is seeing remarkable results with Gradient! 🚀 +300 engineering hours saved 💰+$10K in compute costs from just 3 jobs 📈 +90% SLA match rate Curious how they did it? Read all about it 👇 https://hubs.ly/Q02Y_83n0
AdTech company saves 300 eng hours, meets SLAs, and saves $10K with Gradient
https://synccomputing.com
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🌟 Partnership Spotlight 🌟 Sync is proud to partner with Apex Systems, a leader in IT services and solutions. Together, we are set to redefine the landscape of technology and innovation. 🎉 Learn how this partnership will empower organizations to achieve greater efficiency and cost savings in this post: https://lnkd.in/gXA8sy_q
Sync Partners with Apex Systems
https://synccomputing.com