JanusGraph, a highly scalable graph database solution, supports historically Cassandra and HBase as database backends. We decided to put Scylla in the mix, certainly searching for the best performing backend. We ran test scenarios that cover high volume reads and writes. In this talk, we will show you the performance results of Scylla vs others and also share our lessons learned during the performance evaluation.
What happens to a request that reaches Scylla, and why should one care? Understanding how Scylla executes your queries can help you make better architectural decisions and also better understand the performance of your application. Are my rows too big? Should I make that other column a part of my partition key instead? This talk will cover the interaction between nodes, shards and the role of Scylla's internal components like memtables, cache and sstables. I will explain how different types of queries are executed and how to plan your queries for maximum performance.
In this talk, we will cover the lay of the land of graph databases. We will talk about what it takes to run a highly available hosted solution in the cloud while giving users a seamless vertical and horizontal scaling solution, and share our experiences migrating from an Apache Cassandra backed graphDB as-a-service solution.
We will share Scylla adoption practices in equipment sensor data management of MES, Data Modeling Tips, Data Architecture using Scylla, configurations, and tunings.
Shlomi Livne, VP of R&D at ScyllaDB, presented on the performance benefits of using user-defined types (UDTs) in ScyllaDB. He explained that with traditional columns, each column has overhead and flexibility comes at a price. However, with frozen UDTs, the columns are treated as a single unit, sharing metadata and improving performance. Livne showed results of a test where UDTs with many fields outperformed traditional columns with the same number of fields. However, he noted that Scylla's row cache and Java driver performance need improvement for UDTs.
Our CEO and co-founder Dor Laor and our chairman Benny Schnaider sharing their vision for Scylla. This was also our opportunity to announce Scylla 2.0. Our latest release is a big step toward the first autonomous NoSQL database—one that dynamically tunes itself to varying conditions while always maintaining a high level of performance.
Apache Kafka is a high-throughput distributed streaming platform that is being adopted by hundreds of companies to manage their real-time data. KSQL is an open source streaming SQL engine that implements continuous, interactive queries against Apache Kafka™. KSQL makes it easy to read, write and process streaming data in real-time, at scale, using SQL-like semantics. In my talk, I will discuss streaming ETL from Kafka into stores like Apache Cassandra using KSQL.
Duarte Nunes presented on distributed materialized views in ScyllaDB. He discussed the challenges of implementing materialized views in a distributed system without a single master, including propagating updates from base tables to views, handling consistency when tables can diverge, and managing concurrent updates safely. His proposed solution uses asynchronous replica-based propagation paired with repair mechanisms and locking or optimistic concurrency to address these issues. Materialized views provide powerful indexing capabilities but also introduce performance overhead that is difficult to avoid given Scylla's data model.
The document summarizes Benny Schnaider's presentation as the Chairman of NEXTGEN NOSQL. It discusses the evolution of NoSQL databases, with early generations having inefficiencies and issues that required workarounds. The presentation introduces Scylla, a next-generation NoSQL database that was built from the ground up by storage and operating systems experts to massively scale modern applications. Scylla leverages 20 years of database evolution and is implemented in C++ to provide better performance, stability and the ability to scale out across infrastructure.
On a quest to build the fastest durable log broker in the west, we had to rethink all of the components needed to deliver on this promise. First, we began by building the fastest RPC system in the west, SMF. SMF is a new RPC mechanism, IDL-compiler, and libraries that make using Seastar easy. In this talk, I will cover SMF in detail and show a live demo on how you can get started using it to build your next application so you can live in the future.