DBPod – le podcast Bases de Données
By Franck Pachot. J’essaie quelque chose de nouveau. Je publie beaucoup en anglais (blog, articles, présentations) mais cette fois quelque chose de 100% francophone. En sortant du confinement, on...
View ArticleThe myth of NoSQL (vs. RDBMS) “a simpler API to bound resources”
By Franck Pachot.read more
View ArticleA lesson from NoSQL (vs. RDBMS): listen to your users
By Franck Pachot. I have written a few blog posts about some NoSQL (vs. RDBMS) myths (“joins dont scale”, “agility: adding attributes” and “simpler API to bound resources”). And I’ll continue on other...
View ArticleRDBMS (vs. NoSQL) scales the algorithm before the hardware
By Franck Pachot. In The myth of NoSQL (vs. RDBMS) “joins dont scale” I explained that joins actually scale very well with an O(logN) on the input tables size, thanks to B*Tree index access, and can...
View ArticleAWS DynamoDB: the cost of indexes
By Franck Pachot. That’s common to any data structure, whether it is RDBMS or NoSQL, indexes are good to accelerate reads but slow the writes. This post explains the consequences of adding indexes in...
View ArticleAmazon DynamoDB: a r(el)ational Glossary
By Franck Pachot. There are many NoSQL databases. And, because SQL is an ISO standard, “No SQL” also means “No Standard”. Many have a similar API and similar objects, but with completely different...
View ArticleNoSQL and SQL: key-value access always scale
By Franck Pachot. I have written about some NoSQL myths in previous posts ( and here) and I got some feedback from people mentioning that the test case was on relatively small data. This is true. In...
View ArticleDynamoDB Scan: the most efficient operation
By Franck Pachot. The title is provocative on purpose because you can read in many places that you should avoid scans, and that Scan operations are less efficient than other operations in DynamoDB. I...
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