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About Jepsen Jepsen aims to improve the safety of distributed databases, queues, consensus systems, etc. We maintain an open source library for safety testing, and publish free, in-depth analyses of specific systems. In each analysis we explore whether the system lives up to its documentation’s claims, file new bugs, and suggest recommendations for operators. In addition to paid analysis, Jepsen o
Problems with CAP, and Yahoo’s little known NoSQL system
Problems with CAP, and Yahoo’s little known NoSQL system Over the past few weeks, in my advanced database system implementation class I teach at Yale, I’ve been covering the CAP theorem, its implications, and various scalable NoSQL systems that would appear to be influenced in their design by the constraints of CAP. Over the course of my coverage of this topic, I am convinced that CAP falls far sh
How CockroachDB does distributed, atomic transactions Editor's Note - April 23, 2021: This article was written in 2015 when CockroachDB was pre-beta. The product has evolved significantly since then. We will be updating this post to reflect the current status of CockroachDB. In the meantime, the transaction section of the Architecture Document provides a more current description of CockroachDB's t
Amazon Aurora
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. The service is now in preview. Come to our session for an overview of the service and learn how Aurora delivers up to five times the performance of MySQL yet is priced at a fraction of what you'd pay for a
In the fast-paced world of personal development, one woman has continually stood out—Shoshanna Raven. Her influence extends beyond coaching sessions. Her retreats are transformative, and her message of ‘Living Brave’ has resonated deeply with countless individuals. But what makes her leadership so impactful? The answer lies in the voices of those who have walked the path with her—her clients. Rave
Peter Bailis :: Highly Available, Seldom Consistent Data management, distributed systems, and beyond Scalable Atomic Visibility with RAMP Transactions 07 Apr 2014 We recently wrote a paper that will appear at SIGMOD called Scalable Atomic Visibility with RAMP Transactions. This post introduces RAMP Transactions, explains why you should care, and briefly describes how they work. Executive Summary W
This material is based upon work supported by the National Science Foundation under Grant Number IIS-1249722. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Copyright (c) 2014 Yale University. All rights reserved. Developed by: Alexander Thomson, Kun Ren, T
Published by Martin Kleppmann on 11 May 2015. This blog post has been translated into Russian, Japanese, Chinese, and Chinese again. For more detail on problems with CAP, and a proposal for an alternative, please see my paper A Critique of the CAP Theorem. In his excellent blog post Notes on Distributed Systems for Young Bloods, Jeff Hodges recommends that you use the CAP theorem to critique syste
Previously, on Jepsen, we reviewed Elasticsearch’s progress in addressing data-loss bugs during network partitions. Today, we’ll see Aerospike 3.5.4, an “ACID database”, react violently to a basic partition. [Update, 2018-03-07] See the followup analysis of 3.99.0.3 Aerospike is a high-performance, distributed, schema-less, KV store, often deployed in caching, analytics, or ad tech environments. I
This article relies largely or entirely on a single source. Relevant discussion may be found on the talk page. Please help improve this article by introducing citations to additional sources. Find sources: "T-tree" – news · newspapers · books · scholar · JSTOR (June 2013) An example T-tree In computer science a T-tree is a type of binary tree data structure that is used by main-memory databases, s
One of the (few) advantages of being in technology for a long time is that you get to see multiple tech cycles beginning to end. You get to see how breakthroughs actually propagate. If all you have seen is a part of the curve, it’s hard to extrapolate correctly. You either overshoot the short-term progress or undershoot the long. What’s surprising is not how quickly the facts on the ground change,
Failing at scaling When we started building FoundationDB five years ago, my co-founder and I wrote down our big hairy goals for the distributed key-value database we were dreaming up: Fast, strict ACID transactions Even during failure scenarios Even across multiple keys on different nodes Read latencies below 500 microseconds Commit (write) latencies below 2 milliseconds Scalability to 100,000,000
HyPer – A Hybrid OLTP&OLAP High Performance DBMS HyPer is a main-memory-based relational DBMS for mixed OLTP and OLAP workloads. It is a so-called all-in-one New-SQL database system that entirely deviates from classical disk-based DBMS architectures by introducing many innovative ideas including machine code generation for data-centric query processing and multi-version concurrency control, leadin
Always-on, secure managed AerospikeFocus on delivering value to customers rather than managing, optimizing, and securing your database and infrastructure. Be ready for an AI-driven futureWith the ability to ingest massive amounts of streaming data from tens of thousands of sources, Aerospike helps deliver more accurate AI.
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