How Strava Uses ScyllaDB Enterprise
How Strava uses ScyllaDB Enterprise for a variety of use cases, including a look at how ScyllaDB integrates with their architecture and a deep dive into several use cases.
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IoT Distributed Database Use Cases
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How Strava’s NoSQL Move Keeps Athletes Moving
How Strava uses ScyllaDB to speed up activity tracking for 100M+ athletes -- and why they made the move from Apache Cassandra.
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MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML
Get practical insights into Tractian’s MongoDB to ScyllaDB migration process, including challenges, lessons learned, and the impact on product performance.
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ScyllaDB vs MongoDB vs PostgreSQL: Tractian’s Benchmarking & Migration
TRACTIAN's comparison of ScyllaDB vs MongoDB and PostgreSQL, plus their migration challenges & results.
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Augury Chooses ScyllaDB for Ease-of-Use and Efficiency vs Cassandra
Daniel Barsky discusses the reasons behind Augury's choose of Scylla over Cassandra.
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Augury: Real-Time Insights for the Industrial IoT
Augury stores and serves time-series features from massive streams of IoT data. Learn about their needs and constraints, their data architecture, and their data modeling approach.
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Augury: Insights into Industrial IoT Time-Series Data
Augury wanted a solution that their small but growing team would be able to set up and manage easily. They wanted something that would be easy to scale up, especially if it needed to hit certain...
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Inside Augury’s Move from MongoDB to ScyllaDB
Augury's predictive services hit the limits of MongoDB; learn how ScyllaDB enabled them to scale and simplify.
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How to Build a Low-Latency IoT App with ScyllaDB and Node.js
In this tutorial, you will learn how to l build an IoT sensor simulator application that streams data to a ScyllaDB cluster hosted on ScyllaDB Cloud. Low Latency Requirements In general, latency...
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CarePet: An Example IoT Use Case with ScyllaDB and Go
We recently published CarePet, a project that demonstrates a generic Internet of Things (IoT) use case for Scylla. The application is written in Go and allows tracking of pets’ health indicators.
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Benchmarking MongoDB vs ScyllaDB: IoT Sensor Workload Deep Dive
benchANT's comparison of ScyllaDB vs MongoDB in terms of throughput, latency, scalability, and cost for a workload that simulates a real-world IoT application
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Enabling Precision Health in Edison AI - GE Healthcare's Achievements with ScyllaDB
Discover why and how GE Healthcare employed Scylla's DynamoDB-compatible API (Alternator) to provide precision medical diagnoses in their Edison AI solution.
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GE Moves from DynamoDB to On-Prem Data Centers using ScyllaDB
Sandeep Lakshmipathy, Director of Engineering for Edison AI, discusses how Scylla helped GE Healthcare respond to health providers’ requirements by extending to a hybrid model with some data in Amazon
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Mistaway Accelerates IoT-Driven Apps with ScyllaDB Cloud
Kevin Johnson discusses how Scylla Cloud helps Mistaway focus on apps and customers.
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From MySQL to ScyllaDB Cloud: Mistaway’s Migration to DBaaS
Mistaway manufactures Internet of Things (IoT)-enabled mosquito abatement systems. Their system requires polling time-series data from thousands of users. Learn how and why Mistaway decided to make th
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Cobli’s Drive From Cassandra to ScyllaDB Cloud
The purpose of this series of posts by Cobli is to describe the strategic decisions, steps taken and the real experience of migrating a database from Cassandra to ScyllaDB from a primarily...
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Cobli’s Journey from Cassandra to ScyllaDB: Dissecting a Real-Life Migration Process
A look inside Cobli's migration from Apache Cassandra to ScyllaDB Cloud: considerations, tradeoffs, and strategies.
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Nauto Uses ScyllaDB as a DB Layer for ML Algorithms
“I’ve worked with BigTable, Redis, Postgres and DynamoDB. Compared to all of these Scylla provides very low latencies and has been inexpensive and easy to deploy.” – Rohit Saboo, ML Infrastructure Lea
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Nauto on Consistently Merging Time Series and Finding Similar Images
Nauto provides an intelligent driver safety solution and fleet management safety application that increases fleet safety. The talk will explain two infrastructural components: online driver identifica
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Nauto: An Online Method for Merging Time Ranges on Top of ScyllaDB
Nauto devices are installed in fleets to help improve driving behavior as well as fleet managers to know who is driving well and who is not. One of the fundamental components around which everything r
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