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YSYuhao Surisingwave.comMay 22 · 10 min read

The Live Index: Why Vector Search Should Be a Streaming Problem

There is a quiet assumption baked into almost every vector database in production today: that the corpus you search is, in some practical sense, frozen. You batch up your documents. You run them throu

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YSYuhao Surisingwave.comMay 22 · 9 min read

GDPR-Compliant Streaming: Data Deletion in Real Time

TL;DR: The right to erasure is hard in streaming systems because data fans out across topics, state stores, and lakehouse tables. RisingWave makes this tractable: DELETE events from upstream sources f

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RLRisingWave Labsrisingwave.comMay 22 · 8 min read

Stream Processing Without a Message Queue: Do You Really Need Kafka?

TL;DR: Many real-time systems reach for Apache Kafka by default, but a streaming database like RisingWave can ingest directly from Postgres or MySQL via CDC, from S3 files, from synthetic data generat

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VUVishal Uttam Manevisha-uttam-mane-real-time-data.hashnode.devApr 17 · 4 min read

Real-Time Data Analytics with Streaming Platforms

Real-time data analytics has become a critical capability for modern data-driven systems, enabling organizations to process and act on data as it is generated. Unlike traditional batch processing, whe

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FSFahad Shahrisingwave.comApr 8 · 16 min read

AI Agent Data Infrastructure in 2026: What Your Agents Actually Need

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FSFahad Shahrisingwave.comApr 8 · 13 min read

Best Streaming Database in 2026

{ "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is a streaming database?", "acceptedAnswer": { "@type": "Answer", "text": "A streaming database c...

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FSFahad Shahrisingwave.comApr 7 · 11 min read

Why AI Agents Need Real-Time Data (And How to Deliver It)

Introduction Your fraud detection agent flags a transaction as suspicious, but the customer already updated their shipping address ten minutes ago. Your support agent tells a customer that an item is in stock, but the last inventory sync ran at midni...

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FSFahad Shahrisingwave.comApr 7 · 13 min read

You Don't Need a Separate Vector Database

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RLRisingWave Labsrisingwave.comApr 7 · 11 min read

Feature Backfilling: How to Generate Historical Features for Model Retraining

Feature backfilling is one of the most unglamorous problems in ML engineering — and one of the most consequential. When a model underperforms, the instinct is to improve the model. But more often, the fix requires better training data. And getting be...

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RLRisingWave Labsrisingwave.comApr 7 · 12 min read

Replacing Your Feature Store: A Migration Guide for ML Teams

Feature store migrations are among the most stressful infrastructure changes an ML team can undertake. Unlike swapping out a database or a message queue, features are load-bearing. Models were trained on them. Training pipelines ingest them. Serving ...

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Trending tags this week

The Live Index: Why Vector Search Should Be a Streaming Problem

GDPR-Compliant Streaming: Data Deletion in Real Time

Stream Processing Without a Message Queue: Do You Really Need Kafka?

Real-Time Data Analytics with Streaming Platforms

AI Agent Data Infrastructure in 2026: What Your Agents Actually Need

Best Streaming Database in 2026

Why AI Agents Need Real-Time Data (And How to Deliver It)

You Don't Need a Separate Vector Database

Feature Backfilling: How to Generate Historical Features for Model Retraining

Replacing Your Feature Store: A Migration Guide for ML Teams