Oren Eini

aka Ayende Rahien

Oren Eini

CEO of RavenDB

a NoSQL Open Source Document Database

Get in touch with me:

oren@ravendb.net

+972 52-548-6969

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RavenDB - High-Performance NoSQL Document Database

Jan 02 2024

Recording.NET Rocks Data Sharding with Oren Eini

time to read 1 min | 139 words

This was actually released a while ago, I was occupied with other matters and missed that.

I had a blast talking with Carl & Richard about data sharding and how we implemented that in RavenDB.

What is data sharding, and why do you need it? Carl and Richard talk to Oren Eini about his latest work on RavenDB, including the new data sharding feature. Oren talks about the power of sharding a database across multiple servers to improve performance on massive data sets. While a sharded database is typically in a single data center, it is possible to distribute the shards across multiple locations. The conversation explores the advantages and disadvantages of the different approaches, including that you might not need it today, but it's great to know it's there when you do!

You can listen to the podcast here.

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More posts in "Recording" series:

(29 May 2025) RavenDB's Upcoming Optimizations Deep Dive
(30 Apr 2025) Practical AI Integration with RavenDB
(19 Jun 2024) Building a Database Engine in C# & .NET
(05 Mar 2024) Technology & Friends - Oren Eini on the Corax Search Engine
(15 Jan 2024) S06E09 - From Code Generation to Revolutionary RavenDB
(02 Jan 2024) .NET Rocks Data Sharding with Oren Eini
(01 Jan 2024) .NET Core podcast on RavenDB, performance and .NET
(28 Aug 2023) RavenDB and High Performance with Oren Eini
(17 Feb 2023) RavenDB Usage Patterns
(12 Dec 2022) Software architecture with Oren Eini
(17 Nov 2022) RavenDB in a Distributed Cloud Environment
(25 Jul 2022) Build your own database at Cloud Lunch & Learn
(15 Jul 2022) Non relational data modeling & Database engine internals
(11 Apr 2022) Clean Architecture with RavenDB
(14 Mar 2022) Database Security in a Hostile World
(02 Mar 2022) RavenDB–a really boring database

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