
Interactive graph pattern matching system for large-scale data analysis. Outperforms alternatives with optimized execution plans and distributed processing, enabling efficient querying without manual tuning.

Explore the latest MySQL advancements, including performance enhancements, scalability improvements, and new versioning policy. Gain insights into innovative features for both experienced users and newcomers.

Explore Astacus, a cloud storage backup and restore tool for Apache Cassandra, presented by Dmitry Potepalov from Aiven. Learn about its features and implementation for efficient data management.

Learn to architect high-performing e-commerce services using Apache Cassandra, Pulsar, and Vector Search. Covers data modeling, product navigation, shopping carts, recommendations, and order processing.

Learn from Bloomberg's experience with Apache Cassandra at scale. Discover common mistakes, solutions, and preventive measures to ensure your application's stability and performance.

Explore Amazon Keyspaces architecture for handling massive data scales with low latency. Learn techniques applicable to Apache Cassandra for achieving highly scalable performance.

Explore advanced memtable implementations in Cassandra, including sharded and byte-order designs, to boost write throughput, reduce latency, and improve garbage collection efficiency.

Explore Cassandra data modeling challenges and best practices for high performance at scale, drawing insights from a migration project from DB2 to Cassandra.

Explore the evolution of Cassandra's development community, examining past trends, current state, and future directions. Gain insights into consensus-building challenges and project health.

Explore unique Cassandra challenges and solutions in Adobe's largest deployment, including TokenAware policy issues, intentional split brain scenarios, and automated AWS hardware management.

Explore vector support integration in Python, Java, and NodeJS drivers for Apache Cassandra, enabling similarity search and AI applications. Gain insights into technical challenges and future implications.

Explore how Apache Cassandra powers Gen AI applications, enabling real-time, enterprise-scale data processing for unmatched accuracy and impact in AI-driven solutions.

Explore Apache Cassandra Sidecar, a reactive service enabling new use cases for Cassandra databases. Learn about efficient hardware utilization, optimized streaming techniques, and low resource footprint.

Strategies for identifying, blocking, and mitigating bad partitions in Apache Cassandra, with insights from Netflix's production experiences and ongoing tool development efforts.

Explore Apache Cassandra's role in distributed databases, its future with Accord for transactions, and evolution towards relational features. Learn about scale, availability, and functionality advancements.

Explore advanced JSON retrieval in Cassandra using SAI indexes. Learn techniques for efficient storage and querying, enhancing scalability and flexibility for JavaScript developers.

Explore Milvus, a high-performance cloud-native vector database. Learn its history, architecture, unique features, and real-world applications in RAG, recommendation systems, and molecular search.

Explore the design and implementation of Astra Serverless Database, built on Kubernetes. Learn how decoupling Cassandra components creates a more powerful and scalable database service.

Explore modern OLAP techniques for Cassandra data using Arrow, Flight SQL, ADBC, and DuckDB. Learn to convert sstable snapshots to Parquet, enable real-time analytics, and leverage Flight SQL for efficient querying.

Explore how Azul's runtimes enhance Apache Cassandra's performance, eliminating Java-related issues and delivering consistent response times for improved reliability and scalability.

Explore Netflix's innovative techniques for scaling Apache Cassandra, including dynamic bucketing for key-value data and table sharding for time-series datasets, to achieve petabyte-scale storage with optimal performance.