ScyllaDB’s Post

If your applications use Apache #Cassandra or #DynamoDB and you're interested in reduced costs and lower latencies, it may be time to take a look at the #ScyllaDB Migrator. With its robust architecture, recent enhancements, and active development, the migrator is an indispensable tool for ensuring a smooth and efficient migration process. Guy Shtub and Julien Richard-Foy dive into what it is, how to use it, and the upcoming features we're excited about. https://lnkd.in/eUvgc-2Y #NoSQL #database #lowlatency

If your applications use Apache #Cassandra or #DynamoDB and you're interested in reduced costs and lower latencies, it may be time to take a look at the #ScyllaDB Migrator. With its robust architecture, recent enhancements, and active development, the migrator is an indispensable tool for ensuring a smooth and efficient migration process. Guy Shtub and Julien Richard-Foy dive into what it is, how to use it, and the upcoming features we're excited about. https://lnkd.in/eUvgc-2Y #NoSQL #database #lowlatency

The #ApachePaimon PMC officially announces the release of Apache Paimon 0.9.0. This version was developed over the course of four months, with the participation of 80 contributors, resulting in more than 600 commits. Thank you to all contributors for your support! The community has decided that the next version will be 1.0, marking that most functionalities of Apache Paimon have become relatively mature and stable. Version Overview Paimon's long-term plan is to become a unified lake storage format that meets the main requirements for minute level #bigdata: offline batch computing, real-time stream computing, and OLAP computing. Notable changes in this version include: ✔Paimon Branch: The branch functionality is now officially production-ready, and the introduction of the ‘scan.fallback-branch’ feature helps to better unify stream and batch storage for businesses. ✔Universal Format: This version introduces native Iceberg compatibility. You can enable Iceberg compatibility mode, and Paimon will generate Iceberg-compatible snapshots in real-time, allowing you to use the Iceberg ecosystem to read this Paimon table. ✔Caching Catalog: This version introduces the implementation of Caching Catalog by default. Table metadata and manifest files will be cached in the catalog, which can accelerate OLAP query performance. ✔Improvements in Bucketed Append Table Availability: The small file issue has been significantly alleviated, and it can be applied to bucketed joins in Spark, reducing shuffles during joins. ✔Support for DELETE & UPDATE & MERGEINTO in Append Tables: This version introduces support for DELETE, UPDATE, and MERGE INTO in append tables. You can modify and delete records in append tables using Spark SQL, and it also supports Deletion Vectors mode. Read the full release announcement to learn more: https://lnkd.in/gaqrqwfh About Apache Paimon: A lake format that enables building a real-time lakehouse architecture with Flink and Spark for both streaming and batch operations. Innovatively combines lake format and LSM structure, bringing realtime streaming updates into the lake architecture. #BigData #OpenSource #DataEngineering #Streaming

📢Join us LIVE in ONE HOUR for the next YugabyteDB Community Open Hours! In this episode, Yugabyte experts Franck Pachot and Denis Magda will discuss and compare the memory internals of PostgreSQL and YugabyteDB.💡 Our experts will start with PostgreSQL, looking into its memory architecture and running experiments with the database’s shared buffers. Then, they'll transition to YugabyteDB to see how memory is used in distributed database clusters.🚀 Register now!➡️https://hubs.la/Q02rm6Vk0 #YugabyteDB #cloudnative #distributedsql #Postgresql #memory

Struggling with Apache Superset performance? 📊🚀 Check out my latest blog post for 6 quick tips to optimize your Superset deployment and enhance user experience: https://lnkd.in/dzUikZFZ #ApacheSuperset #DataVisualization #PerformanceOptimization #DataAnalytics #DataScience

Dive into the world of NoSQL without the hassle! This talk is all about making your life easier and your database work more enjoyable with the #Couchbase Plugin for the JetBrains and VSCode platforms

Dive into the world of NoSQL without the hassle! This talk is all about making your life easier and your database work more enjoyable with the #Couchbase Plugin for the JetBrains and VSCode platforms

Dive into the world of NoSQL without the hassle! This talk is all about making your life easier and your database work more enjoyable with the #Couchbase Plugin for the JetBrains and VSCode platforms

ARTICLE ON THE VALUE OF Apache Iceberg CATALOGS https://lnkd.in/e-tN8g6J #DataLake #DataLakehouse #ApacheIceberg #Nessie #ApachePolaris #DataEngineering

Dive into the world of NoSQL without the hassle! This talk is all about making your life easier and your database work more enjoyable with the #Couchbase Plugin for the JetBrains and VSCode platforms