FlowLog - Efficient and Extensible Datalog | FlowLog
FlowLog: Efficient and Extensible Datalog via Incrementality
Datalog
Datalog is a declarative logic programming language. While it is syntactically a subset of Prolog, Datalog generally uses a bottom-up rather than top-down evaluation model. This difference yields significantly different behavior and properties from Prolog. It is often used as a query language for deductive databases. Datalog has been applied to problems in data integration, networking, program analysis, and more.
Query logs and traces with SQL in Observability Analytics | Google Cloud Blog
Observability Analytics, formerly Log Analytics, lets you query logs and traces with SQL, and manage buckets programmatically with its API.
Dremel: interactive analysis of web-scale datasets: Proceedings of the VLDB Endowment: Vol 3, No 1-2
Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system ...
AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321)
Wildland (@WildlandIO) on X
An open protocol for data management that allows users to have sole ownership of their data. Join us! https://t.co/AqwplMcG9u Developed by @GolemFoundation
DuckLake Architecture Deep Dive
DuckLake is a next generation data lakehouse and open table format. It is significantly simpler and faster than Apache Iceberg or Delta Lake because it uses a SQL database for storing the catalog and metadata. This post covers an architecture deep dive with a detailed Q&A section. DuckLake consists of 3 components: storage, catalog, and compute. Each can be scaled independently, hosted locally with ease, and deployed to the cloud for production. MotherDuck offers managed DuckLake lakehouses for additional simplicity and performance.
Permissioned Data Diary 3: Your Bucket, My Data - Daniel's Leaflets
The third in a series of posts building up a solution to permissioned data on atproto. We look at two different models for where buckets live and why the simpler-looking one doesn’t work out.
vmware-archive/differential-datalog
DDlog is a programming language for incremental computation. It is well suited for writing programs that continuously update their output in response to input changes. A DDlog programmer does not write incremental algorithms; instead they specify the desired input-output mapping in a declarative manner.
Graft
Graft is an open-source transactional storage engine designed for efficient data synchronization at the edge.
Permissioned Data Diary 2: Buckets - Daniel's Leaflets
The second in a series of posts building up a solution to permissioned data on atproto. We introduce buckets: a new protocol primitive for creating a shared social context.
Kyle Mathews on Twitter / X
D2TS enables really powerful streaming joins, aggregations, etc. and will be powering a lot of Electric features in the future!This is an early preview but very cool tech. First Typescript implementation of Differential Dataflow afaik. https://t.co/i4qSJnVZWV— Kyle Mathews (@kylemathews) February 28, 2025
Query and branch immutable database values with Datahike. Embed it in a JVM application, access shared storage directly, or run Datahike Server with Docker.