Check out our latest blog on how developers can orchestrate managed RonDB locally within a minute using Docker, and how the architecture behind it works. 🙌
https://t.co/YhhrCnC2gW
Now that Redis open-source is dead, look no further than https://t.co/Uds6edncw4 for an open-source in-memory database. But one that scales .... https://t.co/F0GcZUifLp.
Check out our quick demo showing how to start RonDB with Docker Compose quickly, and how to use this repository to create a cluster and run benchmarks on it ⬇️
https://t.co/clJhxmeweA
Get started with @RonDB_ai with #DockerCompose. We created an option for creating a RonDB cluster locally using Docker Compose.
Learn how to use this repository to create a cluster and run benchmarks on it ⬇️
https://t.co/CVreRqadQU
@jim_dowling includes in this @odsc webinar the main MLOps principles crucial to ensure integrated version management for upgrading/downgrading models and features. He'll show the execution of a real-time, personalized recommendation system using Hopsworks https://t.co/uCMTShzofG
Vaccination DB Talk Booster #13: @mikael_ronstrom describes core principles + architecture of the @RonDB_ai key/value DBMS: https://t.co/zgT9SC0dvo
RonDB's lineage is that it started as one of the original fault-tolerant distributed k/v DBMSs. Old school reliability.
On Monday you can listen to a presentation of RonDB.
https://t.co/wwRS91M2mv
I will cover requirements, explain what LATS is and how RonDB has it, talk about HA solutions and present a detailed description of checkpointing solutions for in-memory DBs that scale to 16 TB.
Interesting tool of the week: https://t.co/5JJAnCxe1b by @RonDB_ai
We like: High performance high availability datastore with fully synchronous transactions and non-blocking two phase commits within a single cluster. Async replication between clusters. Scales linearly with CPUs
@alafroiskiotos says that Hopsworks users should be "one click away from a full, consistent #backup"
His team is working on orchestrating the backup of #Hopsworks with a dedicated @RonDB_ai cluster with a single click 🙌
⬇️ Read more about his journey: https://t.co/R4AhjL6joJ
Simply put, a key-value store needs to be a #LATS database (low Latency, high Availability, high Throughput, Scalable storage). 👇 That`s why you want to read this evaluation of @RonDB_ai`s Latency and Throughput using #Sysbench. https://t.co/WWUNTea1H2
Check out last week`s recording 📹 of #FeatureStore Global Meetup with @hopsworks team talking about @RonDB_ai and @KaskadaInc talking about #data infrastructure limitations! 👇 https://t.co/rSWsocoMPj
Want to know more about how RonDB is a LATS database. Here is a presentation of it and how this is valuable in a Feature Store.
https://t.co/YO0U2GlCEi
📣 New blog is out! We compared how @RonDB_ai performs in a similar setup on #AWS, #Azure and #GCP using #Sysbench. Read all differences and results below. https://t.co/7rJgCjpjwE
Hopsworks comes with managed @RonDB_ai that provides a unified #metadata store for both #Hopsworks and the #online feature. Read how this provides fast access to feature #data and makes Hopsworks highest performing online #featurestore✌️
https://t.co/28ciDrNw0U