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Tomás Kawamoto
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Tomás Kawamoto

Data Infrastructure Correspondent

Tomás Kawamoto covers data infrastructure for TechReaderDaily — databases, query engines, and the unglamorous stack that quietly runs the internet. Buenos Aires-based. He once filed a 9,000-word feature on Postgres roles and stands by every paragraph.

10 articles published Buenos Aires, Argentina
  • Postgres and the extension economy (pgvector, pg_search, Citus)
  • vector databases and the consolidation cycle
  • OLAP, lakehouses, and the duck typing of warehouses
  • streaming platforms (Kafka, Redpanda, Warpstream)
  • agent-native runtimes and stateful workflow engines

Latest from this reporter

Architecture diagram of a multi-agent site reliability engineering system on Amazon Bedrock AgentCore, showing agent orchestration layers and tool integration patterns. Infrastructure · Agent-Native Runtimes

Stateful Workflow Engines Build Trustworthy AI Agent Infrastructure

Cloud providers and startups are racing to build agent-native infrastructure that remembers, recovers, and replays, making this year's architecture decisions critical for which AI agents earn production trust.

May 13, 2026 · 10 min
A server rack in a modern data center with illuminated networking cables, representing the physical infrastructure that underlies vector database consolidation decisions. Data Infrastructure · Consolidation

Vector Database Consolidation: PostgreSQL, MongoDB, Oracle Absorb Search

Two years after dedicated vector databases soared, general-purpose systems like PostgreSQL and MongoDB now offer built-in vector search on platforms enterprises already use, even as agent-native memory architectures question the need for a database.

May 12, 2026 · 9 min
Software · Data Infrastructure

Vector Databases Are Swallowed Whole: That Is the Point

Three years after the vector database gold rush, incumbents have absorbed the technology into the platforms teams already run, and the consolidation cycle is normalizing vector search as a feature.

May 10, 2026 · 12 min
ParadeDB co-founders at their office, part of the new wave of companies building search and analytics as Postgres extensions rather than standalone databases. Databases · Data Infrastructure

Postgres Extensions Are Devouring the Database Stack

Postgres extensions like pgvector, pg_search, and Citus are not just features but proof that Postgres's extension API is now the most valuable piece of the database stack, spawning a new generation of database companies.

May 9, 2026 · 11 min
In-Process Analytical Data Management with DuckDB - InfoQ Data Infrastructure · Analysis

DuckDB's Architecture Reveals: A Data Warehouse Is a Behavior

With lakehouse architectures converging, DuckDB's embeddable OLAP engine is proving that a data warehouse is not a product category but a behavior, reshaping how the industry thinks about metadata, storage, and compute.

May 9, 2026 · 14 min
Agentic Retrieval Overview - Azure AI Search | Microsoft Learn Data Infrastructure · Consolidation

Vector Databases Hit the Wall as Agentic AI Overwhelms Retrieval

Hybrid retrieval intent tripled in a single quarter as RAG architectures buckled under agentic workloads, and now incumbents and insurgents are racing to define what comes after the embedding index — and whether a standalone vector database still makes sense.

May 9, 2026 · 6 min