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🏛️ FoundationDB
kronotop.com
·
9h
9 hours ago
Kronotop: A
database
per tenant, with
transactions
that span all of them
Discussed on
Hacker News
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theconsensus.dev
·
4d
4 days ago
Pierre Zemb from Clever Cloud
Discussed on
Hacker News
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medium.com
·
4d
4 days ago
How I Learned Rust: The Exact Order I Used From Zero to Building a Redis Clone
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Actions for How I Learned Rust: The Exact Order I Used From Zero to Building a Redis Clone
nivdayan.github.io
Content type:
PDF
·
4d
4 days ago
Monkey: Optimal Navigable
Key-Value
Store
(2017)
Discussed on
Lobsters
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Actions for Monkey: Optimal Navigable Key-Value Store (2017)
arxiv.org
·
3d
3 days ago
The Bi-Channel Networking Paradigm for
Database
Systems in the Cloud
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Actions for The Bi-Channel Networking Paradigm for Database Systems in the Cloud
epicgames.github.io
·
5d
5 days ago
The Lore Version Control System
Covered by
8 sources
See all sources covering this story
including
DEV Community
,
theregister
Discussed on
Lobsters
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Actions for The Lore Version Control System
thedatabytes.substack.com
·
2d
2 days ago
Databricks vs. AWS managed service which one fits your need?
Discussed on
Substack
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Actions for Databricks vs. AWS managed service which one fits your need?
e-mahmoudi.me
·
2d
2 days ago
A Small Fintech Challenge, and Why I Let Postgres Hold the Money
Discussed on
Hacker News
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Actions for A Small Fintech Challenge, and Why I Let Postgres Hold the Money
Amazon Web Services
·
7h
7 hours ago
Modernizing
financial analytics with Amazon SageMaker Unified Studio
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Actions for Modernizing financial analytics with Amazon SageMaker Unified Studio
Databricks
·
6d
6 days ago
What is
data
pipeline architecture?
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theconsensus.dev
·
3d
3 days ago
The Consensus Weekly, June 20, 2026
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Actions for The Consensus Weekly, June 20, 2026
Materialize Blog
·
6d
6 days ago
Transaction
Processing in the
Data
Plane
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Actions for Transaction Processing in the Data Plane
digitalunicon.com
·
6d
6 days ago
The
Modern
Backend Stack Explained
Discussed on
DEV
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arxiv.org
·
6d
6 days ago
Decoupling Inference from State Updates in Low-Latency Feature Engines via Probabilistic Thinning
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Actions for Decoupling Inference from State Updates in Low-Latency Feature Engines via Probabilistic Thinning
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