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How to add hybrid search to a Postgres app with Pinecone in 2026

Add hybrid search to a Postgres app with Pinecone: full-text and vector search in one index, Postgres as the source of truth. Built around a snack shop example.

When to choose x86-64 vs aarch64

ARM and x86 can give you different performance at the same vCPU count. Here's what differs, what to measure, and how to choose.

Who controls your intelligence analysis platform?

Over the years, I’ve seen two broad philosophies emerge for building an intelligence analysis platform. One concentrates knowledge and capability inside the vendor. The other builds them inside the customer’s own team. The distinction matters more as the platform grows.… Read more →

How to Solve the Agent Handoff Problem

If your agents hand work to each other, or to a teammate's agents, this is the difference between the next agent building on a decision and rebuilding a dead end. Discover how to solve the agent handoff problem with Meko, the agent-native context engine for multi-agent AI systems. The post How to Solve the Agent Handoff Problem appeared first on Yugabyte .

The official FastAPI Redis SDK is now available

FastAPI now has an official Redis integration. With the fastapi-redis-sdk, we worked closely with the FastAPI team on what a naturally integrated Redis experience should look like, following FastAPI’s dependency model instead of forcing Redis into pat...

MariaDB R2DBC Connector 1.3.2 and 1.2.4 now available

MariaDB is pleased to announce the immediate availability of the MariaDB Connector/R2DBC 1.3.2 and 1.2.4 releases. Download Now Release Notes […]

Beyond the Banana: Driving real-time recommendations with graph-grounded Copilots in Microsoft Fabric

Retailers rarely lack data. Between customer profiles, point-of-sale transactions, inventory levels, and promo schedules, modern enterprises generate terabytes of signals daily. The issue is that legacy relational architectures keep this information locked in siloed systems across POS platforms, inventory systems,… Read more →

Massive Parallel Imports in Neo4j Without Deadlock and Lock Contention

Optimizing graph import partitioning based on workers and k-1 coloring algorithm.This article is a generalization of the approach designed by Eric MONK in his article “Mix and batch: a technique for fast, parallel relationship loading in Neo4j”. It explains the… Read more →

Auditing AWS infrastructure with Neo4j: questions inventory cannot answer

Somebody asks whether GuardDuty covers every account. The question is about holes in the coverage, not about whether the service is switched on. From a flat resource inventory that is a genuinely annoying question. You export accounts, export detectors, line… Read more →

Pinecone BYOC: Trusted AI Knowledge in the Customer Cloud

Pinecone Bring Your Own Cloud is generally available. The data plane runs in your cloud account, and Pinecone manages it without inbound access.

Rescored binary vector search in Neo4j: search more with less memory

As an AI application grows, its embeddings can quickly become one of its largest demands on memory. More documents, finer-grained chunks and richer embedding models all increase the amount of vector data your database needs to search. Keeping retrieval fast… Read more →

TIN Postgres search is faster, better, and cheaper

A good Postgres search demo was doing the rounds online. Let's see what happens when we upgrade it to TIN.

How moving from Azure Cache for Redis to Azure Managed Redis can cut costs by 40%

Moving to Azure Managed Redis can cut your monthly Redis service cost by around 40%. In four East US 2 Premium-to-Balanced price comparisons, the reduction is 43–44%, with high availability on both sides. Those savings apply when the target size meets...

Stay up when a region goes down: Highly available Redis for Python apps

Active-Active Redis & client-side geographic failover Active-Active Redis distributes data across multiple regions, allowing each regional database instance to serve both reads and writes. What kind of magic allows that? Redis uses conflict-free repl...

ClickHouse release 26.9

ClickHouse 26.9 introduces conditional LIMIT boundaries, incremental refreshes for append-only materialized views, disk spilling for DISTINCT, time-limited tokens, and faster min/max/count queries.

ClickHouse appoints Mike Scarpelli, former Snowflake and ServiceNow CFO, to Board of Directors

ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML, today announced the appointment of Michael Scarpelli to its Board of Directors

How Fountain rebuilt its data plane on ClickHouse Cloud to power Cue, the Frontline Superintelligence

Fountain cut analytics latency from three hours to under two minutes and costs by 66% by rebuilding Cue’s data plane on ClickPipes and ClickHouse Cloud.

Anatomy of a (Postgres) search engine

How a full-text search engine works, and how it works in Postgres

Introducing Smooth Scaling: faster, more intelligent scaling

Scaling your Redis Cloud Pro database is now significantly faster and gentler on your application, without changing how you scale. Demand is rarely predictable. A promotion takes off, a product goes viral, a new region comes online, or Black Friday a...

Redis introduces new capabilities to help you operate, build, and scale with confidence

Your apps are growing more distributed, data-intensive, and business-critical. As Redis has become a larger part of your architecture, managing deployments, connecting data sources, and responding to changing demand can introduce operational friction....

From Two Codebases to One: How DataVue Brought Phonetic Match Keys into SingleStore with Python UDFs

See how DataVue used SingleStore Python UDFs to unify phonetic matching in one codebase, halve processing time and keep regulated data on-platform.

Postgres on NVMe: performance and the convergence of transactions and analytics

See how local NVMe transforms Postgres transaction performance—and why ClickHouse remains essential for fast analytics as workloads scale.

Blocking cutovers to save replication slots

Postgres understands high-availability architecture, but its defaults assume you don't have replication slots. This can get you into trouble in a cutover event. The combination of what Postgres can do and what PlanetScale lets you do is what keeps connected applications safe.

Inside a YugabyteDB Internship

From zero distributed systems experience to shipping password compliance to enterprises. This retrospective blog from Yugabyte Software Engineer Intern Angela Xu details the projects, people, and lessons she learned during her time on Yugabyte’s query layer team, including why preventing password reuse is a tricky problem in a distributed database. The post Inside a YugabyteDB Internship appeared…

Postgres week in the Netherlands: PGDay Lowlands & Percona Live 2026

Notes from three days in the Netherlands, featuring a lightning talk on pg_clickhouse and pg_stat_ch at PGDay Lowlands and a session on PostgreSQL 19 monitoring at Percona Live Amsterdam.

The architecture of Neki

Sharded Postgres, from the team behind Vitess

Galera Cluster Remains An Integral Part of MariaDB Server

As we reach the final release of the MySQL version of Galera Cluster, we want to provide clarity around the […]

VQ-bench: a Composable Vector Quantization Framework

Most published quantizers are built from the same small set of primitives. VQ-bench is an open-source library of those primitives, plus a reproducible benchmark of 14 quantizers across VIBE datasets.

Announcing MariaDB Community Server 13.0 GA

MariaDB Community Server 13.0 GA deepens Oracle PL/SQL compatibility with REF CURSORs and RECORD types, gives developers UPDATE…RETURNING, expands manageability […]

MariaDB Enterprise Server 12.3 Beta: Conflict-Aware Replication, Raft-Based Cluster, and Passwordless TLS Authentication

MariaDB Enterprise Server 12.3.3-0 ES BETA is now available for testing, the first beta build of the upcoming MariaDB Enterprise […]

Telegraf 1.40 Release Notes

You can find the binaries for the latest Telegraf release on our Downloads page . Many thanks to all the open source community members who contributed to this effort! New plugins These are the newest plugins, first available in this version: Databricks Zerobus output ( outputs.zerobus ) Streams metrics to a Unity Catalog Delta table using the Databricks Zerobus Ingest service over gRPC to…

VQ-bench: A Composable Vector Quantization Framework

Best Knowledge Engine Platforms in 2026

How Pinecone Nexus, Databricks Genie, Snowflake Cortex, Microsoft IQ, Palantir Foundry, and Glean compare as knowledge platforms for AI agents.

Apparently, Nothing Happened in Database History Between 1986 and Monday

Databricks calls LTAP the end of a 40-year database divide. SingleStore’s architecture and production results show what happened between 1986 and Monday.

Introducing Singlestore Analyst : Question to Insight While It Still Matters

SingleStore Analyst turns plain-language questions into governed answers, charts and live dashboards on real-time business data—without moving it.

Building a Practical Time Series Data Layer for Automotive Manufacturing

Automotive manufacturing generates data at several operating cadences. Sensors and controllers emit measurements continuously. Equipment and line states change as events. Production and quality systems add context at the part, batch, shift, and plant level. Together, these records describe how a manufacturing process behaves over time. That data can support plant visibility, investigations, scrap…

MariaDB Enterprise Server Maintenance Releases

New security maintenance releases for MariaDB Enterprise Server: 11.8.9-6, 11.4.13-10, and 10.6.28-24 are now available. While these releases were originally […]

Introducing YugabyteDB Resource Governance

Discover how YugabyteDB Resource Governance helps organizations safely consolidate more databases on shared infrastructure without sacrificing predictable performance. Plus, learn how fair CPU sharing and workload controls prevent noisy neighbors, improve resource utilization, and provide the isolation needed to confidently run multi-tenant workloads at scale. The post Introducing YugabyteDB…

Getting Started with InfluxDB 3 and Grafana Tutorial

InfluxDB and Grafana are the most common pairing in time series monitoring, and division of labor between them is simple. InfluxDB stores and queries the data: high-volume, time-stamped readings from sensors, servers, meters, vehicles, and anything else that emits time series. Grafana visualizes the data: dashboards, time series panels, stat tiles, state timelines, and alerts. Neither tool…

Democratizing Breach Detection: How SMBs Can Build Their Own Time Series Security Monitor

When people hear that the average breach lifecycle still spans hundreds of days , they often blame inefficiency or apathy. The reality is that most teams, especially those in SMBs, are flying blind and relying on logs scattered across dozens of SaaS platforms. The information needed to understand a breach is there, but it often sits behind paywalls or is delivered without enough context to form a…

A2A Is Now an Open Standard. The Data Layer Underneath It Isn't.

In April 2025, Google released a protocol for agent-to-agent communication. Within three months, Google had donated it to the Linux Foundation...

Telegraf Controller 1.1: Make Fleet-Wide Config Changes with a Single Edit

Telegraf is easy to stand up. You just need a config file with a few plugins and data flows. That ease is why Telegraf fleets grow fast, and why managing the agents that collect data becomes more difficult than collecting it. A change that takes minutes on ten agents takes days across a few hundred. Telegraf Controller is a centralized control plane for managing, configuring, and monitoring your…

Core Banking Modernization with Temenos Core and CockroachDB

Banking has become an always-on business. Customers expect instant payments, accurate balances, and continuous access to financial services...

Why Yugabyte Joined the Agentic AI Foundation

After a decade of building a reliable distributed data architecture, the natural progression for Yugabyte was to begin supporting AI agents. Yugabyte is now a Silver Member of the Agentic AI Foundation (AAIF), the Linux Foundation's home for the open standards that agentic AI runs on. This blog provides background on the AAIF's work and shares why we joined the Foundation. The post Why Yugabyte…

Enterprise AI Will Be a Network, Not a Monolith

See how small language models and a real-time database work together to deliver faster, lower-cost AI that can reason over live data and write results back.

Multi-Tenant AI Agents: Why Data Isolation Starts at the Database

Most SaaS teams shipping agentic features focus on prompt safety and API-layer filtering. But effective AI agent security also depends on...

Feeding fresh context to the models that spend the money

A model's serving-time quality is bounded by the freshness of what it reads. Why offline metrics hide the gap, what staleness costs at auction scale, and what agents change.

How PostgreSQL CDC Tools Work on YugabyteDB

YugabyteDB speaks PostgreSQL, but do your CDC tools actually work against it? We tested three popular open-source connectors and ran them under real-world conditions. This blog shares why the compatibility holds, the one concept that matters most, and how each tool held up. The post How PostgreSQL CDC Tools Work on YugabyteDB appeared first on Yugabyte .

How to Consolidate Your Database Stack for Production AI

When builders ship AI-powered applications, the data layer quietly becomes the hardest part of the stack.