Introducing Scylla’s Open Source Amazon DynamoDB-compatible API

Presented by

Dor Laor, CEO & Co-Founder, ScyllaDB, Avi Kivity, CTO & Co-Founder, ScyllaDB, Nadav Har’El, Distinguished Engineer, ScyllaDB

About this talk

ScyllaDB's Project Alternator is an open source project that will enable Amazon DynamoDB users to easily migrate to an open source database that runs anywhere — on most cloud platforms, on-premises, on bare-metal, virtual machines or via Kubernetes — all while preserving their investments in their existing application code. Project Alternator helps DynamoDB users achieve much better and more reliable performance, reduce database costs by 80% - 90%, support large items (10s of MBs) and large partitions (multiple GBs), control the number of replicas, balance cost vs. redundancy, and much more. Join ScyllaDB founders Avi Kivity and Dor Laor and lead engineer Nadav Har’El for an overview of Project Alternator, including: - Alternator’s design implementation and goals - How to configure Alternator (ok, add alternator_port: 8000 to your scylla.yaml) - Demo how to easily run it from docker/rpm They will run several examples: - Tic-tac-toe based DynamoDB example with Alternator - How to benchmark Scylla Alternator with YCSB and considerations around it - How to run a serverless application along with Alternator - How to migrate DynamoDB data to Alternator using the Spark migrator - Discuss the current limitations of Alternator - Plus we will discuss current limitations of Alternator, describe different consistencies and active-active vs leader model, and share the project roadmap.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (53)
Subscribers (93)
The Scylla NoSQL database embraces a shared-nothing approach that increases throughput and storage capacity as much as 10X. It comes in open source, enterprise and database-as-a-service options. Comcast, Discord, Grab, Medium, Starbucks, Ola Cabs, Samsung, IBM,, Zillow and many more leading companies have adopted Scylla to realize order-of-magnitude performance improvements and reduce hardware costs. For more information: