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    <title>Databases guides · The Tech Gazette</title>
    <link>https://techgazette.com.br/learn/databases/</link>
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    <description>New guides on databases, by the people who build it. Postgres, analytics and caches.</description>
    <language>en</language>
    <ttl>180</ttl>
    <lastBuildDate>Tue, 13 Oct 2026 16:20:00 GMT</lastBuildDate>
    <item>
      <title>Under the hood, off the hot path: How D1 scales to millions of databases</title>
      <link>https://blog.cloudflare.com/d1-control-plane/</link>
      <guid isPermaLink="true">https://blog.cloudflare.com/d1-control-plane/</guid>
      <pubDate>Tue, 13 Oct 2026 16:20:00 GMT</pubDate>
      <dc:creator>Cloudflare</dc:creator>
      <category>Databases</category>
      <description>Cloudflare — A deep dive into how D1 architected its control plane to scale and manage millions of databases, while keeping data plane query operations at the edge. We share guiding principles on how to build on the Developer Platfor…</description>
    </item>
    <item>
      <title>Chasing that 32 ms tail latency in ClickHouse</title>
      <link>https://clickhouse.com/blog/chasing-32ms-tail-latency-clickhouse</link>
      <guid isPermaLink="true">https://clickhouse.com/blog/chasing-32ms-tail-latency-clickhouse</guid>
      <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>ClickHouse</dc:creator>
      <category>Databases</category>
      <description>ClickHouse — A customer saw an extra ~32 ms on simple SELECT queries after idle periods. We traced it to unbatched Native protocol metadata packets overflowing a reset TCP congestion window, reproduced it with network namespaces, and…</description>
    </item>
    <item>
      <title>Understanding the differences between PgBouncer and Amazon RDS Proxy for PostgreSQL connection pooling</title>
      <link>https://aws.amazon.com/blogs/database/understanding-the-differences-between-pgbouncer-and-amazon-rds-proxy-for-postgresql-connection-pooling/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/database/understanding-the-differences-between-pgbouncer-and-amazon-rds-proxy-for-postgresql-connection-pooling/</guid>
      <pubDate>Mon, 12 Oct 2026 16:14:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Databases</category>
      <description>AWS Databases — Compare Amazon RDS Proxy and PgBouncer for PostgreSQL connection pooling on AWS. This post explains how each pooler handles pooling modes, authentication, failover, and session-state pinning, and gives you a framework to…</description>
    </item>
    <item>
      <title>Migrate CLR code to AWS Lambda when upgrading Amazon RDS for SQL Server to 2025</title>
      <link>https://aws.amazon.com/blogs/database/migrate-clr-code-to-aws-lambda-when-upgrading-amazon-rds-for-sql-server-to-2025/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/database/migrate-clr-code-to-aws-lambda-when-upgrading-amazon-rds-for-sql-server-to-2025/</guid>
      <pubDate>Mon, 12 Oct 2026 16:11:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Databases</category>
      <description>AWS Databases — After upgrading Amazon RDS for SQL Server to 2017 or later, CLR strict security leaves user-defined CLR assemblies unusable. This post shows how to migrate CLR logic with no native T-SQL equivalent to an AWS Lambda funct…</description>
    </item>
    <item>
      <title>Filter, reshape, and redact logs before export with Transformers</title>
      <link>https://blog.cloudflare.com/transformers-on-logpush/</link>
      <guid isPermaLink="true">https://blog.cloudflare.com/transformers-on-logpush/</guid>
      <pubDate>Mon, 12 Oct 2026 14:44:00 GMT</pubDate>
      <dc:creator>Cloudflare</dc:creator>
      <category>Databases</category>
      <description>Cloudflare — Logpush now supports Transformers, allowing teams to filter, redact, and reshape log streams using SQL before export. Powered by Apache DataFusion and Apache Arrow, Transformers apply those changes directly to log data b…</description>
    </item>
    <item>
      <title>What gets TOASTed in Postgres</title>
      <link>https://planetscale.com/blog/what-gets-toasted-in-postgres</link>
      <guid isPermaLink="true">https://planetscale.com/blog/what-gets-toasted-in-postgres</guid>
      <pubDate>Mon, 12 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>PlanetScale</dc:creator>
      <category>Databases</category>
      <description>PlanetScale — Postgres 19 switches TOAST compression from pglz to LZ4. LZ4 is faster, but it isn't always smaller, and some reads get slower with it.</description>
    </item>
    <item>
      <title>How we migrated Clera’s 500 GB production database to ClickHouse Managed Postgres overnight</title>
      <link>https://clickhouse.com/blog/clera-migrates-to-clickhouse-managed-postgres</link>
      <guid isPermaLink="true">https://clickhouse.com/blog/clera-migrates-to-clickhouse-managed-postgres</guid>
      <pubDate>Thu, 08 Oct 2026 20:51:00 GMT</pubDate>
      <dc:creator>ClickHouse</dc:creator>
      <category>Databases</category>
      <description>ClickHouse — Clera migrated its 500 GB production database and 500+ tables to ClickHouse Managed Postgres overnight, cutting CPU usage from 100% to 10–20%.</description>
    </item>
    <item>
      <title>Data needs its DevOps moment</title>
      <link>https://render.com/blog/data-needs-its-devops-moment</link>
      <guid isPermaLink="true">https://render.com/blog/data-needs-its-devops-moment</guid>
      <pubDate>Thu, 08 Oct 2026 19:22:00 GMT</pubDate>
      <dc:creator>Render</dc:creator>
      <category>Databases</category>
      <description>Render — Discover how Turbolytics leverages Render Postgres to bring DevOps principles to data pipelines. Learn how lightweight, real-time architectures can run efficiently as standard cloud services.</description>
    </item>
    <item>
      <title>Building a Public Performance Change Detection Library for MariaDB</title>
      <link>https://mariadb.org/building-a-public-performance-change-detection-library-for-mariadb/</link>
      <guid isPermaLink="true">https://mariadb.org/building-a-public-performance-change-detection-library-for-mariadb/</guid>
      <pubDate>Thu, 08 Oct 2026 14:28:00 GMT</pubDate>
      <dc:creator>MariaDB Foundation</dc:creator>
      <category>Databases</category>
      <description>MariaDB Foundation — Performance engineering inside a database project is usually private. Teams run internal workloads, investigate changes, fix issues, and move on. The knowledge stays inside the company, and the outside world only sees a…</description>
    </item>
    <item>
      <title>Faster by Design: Performance engineering in the Microsoft JDBC Driver for SQL Server</title>
      <link>https://devblogs.microsoft.com/java/faster-by-design-performance-engineering-in-the-microsoft-jdbc-driver-for-sql-server/</link>
      <guid isPermaLink="true">https://devblogs.microsoft.com/java/faster-by-design-performance-engineering-in-the-microsoft-jdbc-driver-for-sql-server/</guid>
      <pubDate>Thu, 08 Oct 2026 07:25:00 GMT</pubDate>
      <dc:creator>Microsoft for Java Developers</dc:creator>
      <category>Databases</category>
      <description>Microsoft for Java Developers — A database driver sits on the critical path of many applications. When a frequently executed path performs unnecessary work, even a small amount of overhead can compound across millions of operations. Over the past sever…</description>
    </item>
    <item>
      <title>Migrate SSIS packages to Aurora PostgreSQL – Part 2</title>
      <link>https://aws.amazon.com/blogs/database/migrate-ssis-packages-to-aurora-postgresql-part-2/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/database/migrate-ssis-packages-to-aurora-postgresql-part-2/</guid>
      <pubDate>Wed, 07 Oct 2026 15:21:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Databases</category>
      <description>AWS Databases — Part 2 of migrating SSIS packages to Amazon Aurora PostgreSQL tackles the complex packages. Learn how to replace SSIS control flow, Foreach Loop Containers, and Script Tasks with AWS Step Functions state machines, Map an…</description>
    </item>
    <item>
      <title>A DuckDB Database with No Data in It</title>
      <link>https://duckdb.org/2026/10/07/view-only-mode.html</link>
      <guid isPermaLink="true">https://duckdb.org/2026/10/07/view-only-mode.html</guid>
      <pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>DuckDB</dc:creator>
      <category>Databases</category>
      <description>DuckDB — A DuckDB database file does not have to hold any data. It can store nothing but view definitions that point at Parquet files on object storage, so a few hundred kilobytes behave like a shared catalog over a whole data la…</description>
    </item>
    <item>
      <title>Beyond synthetic testing: Capturing and replaying real database workloads at Airbnb</title>
      <link>https://medium.com/airbnb-engineering/beyond-synthetic-testing-capturing-and-replaying-real-database-workloads-at-airbnb-cea7ee9b1ab2?source=rss----53c7c27702d5---4</link>
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      <pubDate>Tue, 06 Oct 2026 17:01:00 GMT</pubDate>
      <dc:creator>Airbnb Tech</dc:creator>
      <category>Databases</category>
      <description>Airbnb Tech — How we capture real production database traffic at Airbnb and replay it offline to load-test, plan capacity, and de-risk upgrades. By: Zuofei Wang, Erluo Li Introduction At Airbnb, MySQL-compatible databases are a critic…</description>
    </item>
    <item>
      <title>PostgreSQL to SQL Field Notes: Connections</title>
      <link>https://devblogs.microsoft.com/azure-sql/pg-to-sql-connections/</link>
      <guid isPermaLink="true">https://devblogs.microsoft.com/azure-sql/pg-to-sql-connections/</guid>
      <pubDate>Tue, 06 Oct 2026 16:39:00 GMT</pubDate>
      <dc:creator>Azure SQL</dc:creator>
      <category>Databases</category>
      <description>Azure SQL — Welcome to SQL First, welcome to SQL! You’re going to like this. Upgrading from PostgreSQL is real work, and depending on your old database, this process will vary widely in complexity. I am confident that you’re going t…</description>
    </item>
    <item>
      <title>Cost-effective ETL with DuckDB and Amazon S3 Tables on AWS Glue</title>
      <link>https://aws.amazon.com/blogs/big-data/cost-effective-etl-with-duckdb-and-amazon-s3-tables-on-aws-glue/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/big-data/cost-effective-etl-with-duckdb-and-amazon-s3-tables-on-aws-glue/</guid>
      <pubDate>Tue, 06 Oct 2026 16:13:00 GMT</pubDate>
      <dc:creator>AWS Big Data</dc:creator>
      <category>Databases</category>
      <description>AWS Big Data — Learn how to pair DuckDB with AWS Glue 6.0 to run SQL-centric ETL on a single worker, reading Parquet from Amazon S3 and writing Apache Iceberg tables to Amazon S3 Tables. This post walks through a complete, runnable exa…</description>
    </item>
    <item>
      <title>A decision framework for Amazon Neptune availability</title>
      <link>https://aws.amazon.com/blogs/database/a-decision-framework-for-amazon-neptune-availability/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/database/a-decision-framework-for-amazon-neptune-availability/</guid>
      <pubDate>Tue, 06 Oct 2026 15:28:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Databases</category>
      <description>AWS Databases — When an Amazon Neptune workload needs resilience beyond a single cluster, this post presents a decision framework that maps availability targets to Neptune architectural patterns, from Multi-AZ and Global Database to wri…</description>
    </item>
    <item>
      <title>What Is Running on My MongoDB Right Now? Real-Time Analytics in PMM</title>
      <link>https://www.percona.com/blog/what-is-running-on-my-mongodb-right-now-real-time-analytics-in-pmm/</link>
      <guid isPermaLink="true">https://www.percona.com/blog/what-is-running-on-my-mongodb-right-now-real-time-analytics-in-pmm/</guid>
      <pubDate>Tue, 06 Oct 2026 12:51:00 GMT</pubDate>
      <dc:creator>Percona</dc:creator>
      <category>Databases</category>
      <description>Percona — The Problem The application is slow, the Slack channel is on fire, and somebody asks the oldest question in our job: What is running on the database right now? Query Analytics (QAN) in PMM is great for the history. It sh…</description>
    </item>
    <item>
      <title>Migrating a 500 GB Production MariaDB Database from Amazon RDS to EC2, With a Rollback Path</title>
      <link>https://mariadb.org/migrating-a-500-gb-production-mariadb-database-from-amazon-rds-to-ec2-with-a-rollback-path/</link>
      <guid isPermaLink="true">https://mariadb.org/migrating-a-500-gb-production-mariadb-database-from-amazon-rds-to-ec2-with-a-rollback-path/</guid>
      <pubDate>Mon, 05 Oct 2026 10:52:00 GMT</pubDate>
      <dc:creator>MariaDB Foundation</dc:creator>
      <category>Databases</category>
      <description>MariaDB Foundation — I always enjoy real production stories where MariaDB is used in demanding environments and the people involved are willing to share the architecture, the challenges, and the decisions made along the way. Pradip Shah from…</description>
    </item>
    <item>
      <title>Importing Data using Java Table Functions</title>
      <link>https://duckdb.org/2026/10/05/import-data-with-java.html</link>
      <guid isPermaLink="true">https://duckdb.org/2026/10/05/import-data-with-java.html</guid>
      <pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>DuckDB</dc:creator>
      <category>Databases</category>
      <description>DuckDB — When the analytics screen running on our main operational database got too slow, we moved a year of data into DuckDB on the same server. Getting the data in was the hard part. This is the story of every method we tried,…</description>
    </item>
    <item>
      <title>Scaling and benchmarking a critical message bus using a new indexing strategy</title>
      <link>https://blog.janestreet.com/scaling-and-benchmarking-a-critical-message-bus/</link>
      <guid isPermaLink="true">https://blog.janestreet.com/scaling-and-benchmarking-a-critical-message-bus/</guid>
      <pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Jane Street Tech Blog</dc:creator>
      <category>Databases</category>
      <description>Jane Street Tech Blog — The following is part of a series of posts about 2026 summer intern projects—for more, see “What the interns have wrought, special jumbo 2026 edition”</description>
    </item>
    <item>
      <title>Deploy Oracle Database step by step on Amazon EVS with FSx for ONTAP</title>
      <link>https://aws.amazon.com/blogs/architecture/deploy-oracle-database-step-by-step-on-amazon-evs-with-fsx-for-ontap/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/architecture/deploy-oracle-database-step-by-step-on-amazon-evs-with-fsx-for-ontap/</guid>
      <pubDate>Fri, 02 Oct 2026 17:57:00 GMT</pubDate>
      <dc:creator>AWS Architecture Blog</dc:creator>
      <category>Databases</category>
      <description>AWS Architecture Blog — This post provides step-by-step procedures to deploy Oracle Database on Amazon Elastic VMware Service (Amazon EVS) with Amazon FSx for NetApp ONTAP as NFS datastore storage. You provision storage volumes, mount NFS datas…</description>
    </item>
    <item>
      <title>Architect highly available Oracle Database on Amazon EVS and FSx for ONTAP</title>
      <link>https://aws.amazon.com/blogs/architecture/architect-highly-available-oracle-database-on-amazon-evs-and-fsx-for-ontap/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/architecture/architect-highly-available-oracle-database-on-amazon-evs-and-fsx-for-ontap/</guid>
      <pubDate>Fri, 02 Oct 2026 17:57:00 GMT</pubDate>
      <dc:creator>AWS Architecture Blog</dc:creator>
      <category>Databases</category>
      <description>AWS Architecture Blog — Learn how to architect a highly available Oracle Database environment on Amazon Elastic VMware Service (Amazon EVS) with Amazon FSx for NetApp ONTAP. This post covers EC2 bare metal instance selection, vSAN and FSx stora…</description>
    </item>
    <item>
      <title>What is direct I/O, and why does ClickHouse Managed Postgres use it for backups?</title>
      <link>https://clickhouse.com/blog/direct-io-managed-postgres-backups</link>
      <guid isPermaLink="true">https://clickhouse.com/blog/direct-io-managed-postgres-backups</guid>
      <pubDate>Fri, 02 Oct 2026 13:27:00 GMT</pubDate>
      <dc:creator>ClickHouse</dc:creator>
      <category>Databases</category>
      <description>ClickHouse — ClickHouse Managed Postgres uses direct I/O and stripe-sized reads to keep backups fast while protecting the page cache and query latency.</description>
    </item>
    <item>
      <title>The Database Is the Product: What Breaks When Memory Devices Scale</title>
      <link>https://www.pingcap.com/blog/ai-hardware-data-architecture-at-scale/</link>
      <guid isPermaLink="true">https://www.pingcap.com/blog/ai-hardware-data-architecture-at-scale/</guid>
      <pubDate>Thu, 01 Oct 2026 20:06:00 GMT</pubDate>
      <dc:creator>PingCAP (TiDB)</dc:creator>
      <category>Databases</category>
      <description>PingCAP (TiDB) — Editor’s note: This post originally appeared on The New Stack and is republished with permission. The original version is available here. Imagine you just finished a two-hour meeting. You were wearing a small AI work com…</description>
    </item>
    <item>
      <title>Working with foreign key constraints in Aurora DSQL</title>
      <link>https://aws.amazon.com/blogs/database/working-with-foreign-key-constraints-in-aurora-dsql/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/database/working-with-foreign-key-constraints-in-aurora-dsql/</guid>
      <pubDate>Thu, 01 Oct 2026 16:42:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Databases</category>
      <description>AWS Databases — Amazon Aurora DSQL supports foreign key constraints, letting you enforce referential integrity directly in the database. This post covers defining foreign keys, immediate versus deferred enforcement, adding constraints t…</description>
    </item>
    <item>
      <title>Genspark protects live agent sessions with Azure Cosmos DB Global Secondary Indexes</title>
      <link>https://devblogs.microsoft.com/cosmosdb/genspark-protects-live-agent-sessions-with-azure-cosmos-db-global-secondary-indexes/</link>
      <guid isPermaLink="true">https://devblogs.microsoft.com/cosmosdb/genspark-protects-live-agent-sessions-with-azure-cosmos-db-global-secondary-indexes/</guid>
      <pubDate>Thu, 01 Oct 2026 16:00:00 GMT</pubDate>
      <dc:creator>Azure Cosmos DB</dc:creator>
      <category>Databases</category>
      <description>Azure Cosmos DB — This article was authored by Justin Liu, co-founder and chief architect, Genspark. The work does not end when the prompt does A user comes to Genspark with a goal: research a market, build a presentation, produce a repor…</description>
    </item>
    <item>
      <title>How LinkedIn extended ClickHouse from distributed tracing to metric discovery and analytics</title>
      <link>https://clickhouse.com/blog/linkedin-observability-at-scale</link>
      <guid isPermaLink="true">https://clickhouse.com/blog/linkedin-observability-at-scale</guid>
      <pubDate>Thu, 01 Oct 2026 15:50:00 GMT</pubDate>
      <dc:creator>ClickHouse</dc:creator>
      <category>Databases</category>
      <description>ClickHouse — LinkedIn expanded its ClickHouse observability stack from distributed tracing to metric discovery and analytics, consolidating 13B+ metrics into one index serving 150k+ queries per minute.</description>
    </item>
    <item>
      <title>Designing Neki for performance</title>
      <link>https://planetscale.com/blog/designing-neki-for-performance</link>
      <guid isPermaLink="true">https://planetscale.com/blog/designing-neki-for-performance</guid>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>PlanetScale</dc:creator>
      <category>Databases</category>
      <description>PlanetScale — How Neki only decodes the parts of a PostgreSQL result the router actually needs.</description>
    </item>
    <item>
      <title>A practical guide to cost optimization with Lakebase Postgres</title>
      <link>https://www.databricks.com/blog/practical-guide-cost-optimization-lakebase-postgres</link>
      <guid isPermaLink="true">https://www.databricks.com/blog/practical-guide-cost-optimization-lakebase-postgres</guid>
      <pubDate>Wed, 30 Sep 2026 16:53:00 GMT</pubDate>
      <dc:creator>Databricks</dc:creator>
      <category>Databases</category>
      <description>Databricks — Lakebase is a fully managed Postgres database, built for the operational realities...</description>
    </item>
    <item>
      <title>Resolving PostgreSQL replication lag with heartbeat tables in change data capture scenarios</title>
      <link>https://aws.amazon.com/blogs/database/resolving-postgresql-replication-lag-with-heartbeat-tables-in-change-data-capture-scenarios/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/database/resolving-postgresql-replication-lag-with-heartbeat-tables-in-change-data-capture-scenarios/</guid>
      <pubDate>Wed, 30 Sep 2026 16:47:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Databases</category>
      <description>AWS Databases — Replication lag during a change data capture (CDC) migration can be counterintuitive: the source is busy, yet replication falls behind and WAL piles up. This post shows how to resolve PostgreSQL replication lag with hear…</description>
    </item>
    <item>
      <title>Migrate Db2 z/OS to Amazon Aurora PostgreSQL using AWS DMS and gateway server</title>
      <link>https://aws.amazon.com/blogs/database/migrate-db2-z-os-to-amazon-aurora-postgresql-using-aws-dms-and-gateway-server/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/database/migrate-db2-z-os-to-amazon-aurora-postgresql-using-aws-dms-and-gateway-server/</guid>
      <pubDate>Wed, 30 Sep 2026 16:45:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Databases</category>
      <description>AWS Databases — Learn how to use AWS DMS and a Db2 gateway server on Amazon EC2 to migrate and replicate data from an on-premises IBM Db2 database on z/OS to Amazon Aurora PostgreSQL. This post covers configuring the gateway, creating D…</description>
    </item>
    <item>
      <title>How to Set Up and Redeem Your Neo4j Startup Program Credits</title>
      <link>https://neo4j.com/blog/developer/startup-program-credit-setup/</link>
      <guid isPermaLink="true">https://neo4j.com/blog/developer/startup-program-credit-setup/</guid>
      <pubDate>Wed, 30 Sep 2026 08:57:00 GMT</pubDate>
      <dc:creator>Neo4j</dc:creator>
      <category>Databases</category>
      <description>Neo4j — A quick walkthrough from approval to your first running database. You’ve been accepted into the Neo4j Startup Program, congrats. This guide walks through the handful of steps between “approved” and “credits are live on m…</description>
    </item>
    <item>
      <title>Aurora PostgreSQL zero-ETL integration with Amazon SageMaker</title>
      <link>https://aws.amazon.com/blogs/big-data/aurora-postgresql-zero-etl-integration-with-amazon-sagemaker/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/big-data/aurora-postgresql-zero-etl-integration-with-amazon-sagemaker/</guid>
      <pubDate>Tue, 29 Sep 2026 16:10:00 GMT</pubDate>
      <dc:creator>AWS Big Data</dc:creator>
      <category>Databases</category>
      <description>AWS Big Data — Amazon Aurora PostgreSQL zero-ETL integration with Amazon SageMaker replicates your operational data to a lakehouse in near real time, without building custom ETL pipelines. Learn the architecture and change data capture…</description>
    </item>
    <item>
      <title>Managed Cloud Prometheus Monitoring</title>
      <link>https://qdrant.tech/documentation/production-operations/managed-cloud-prometheus/</link>
      <guid isPermaLink="true">https://qdrant.tech/documentation/production-operations/managed-cloud-prometheus/</guid>
      <pubDate>Tue, 29 Sep 2026 08:00:00 GMT</pubDate>
      <dc:creator>Qdrant</dc:creator>
      <category>Databases</category>
      <description>Qdrant — Monitoring Managed Cloud with Prometheus and Grafana This tutorial will guide you through the process of setting up Prometheus and Grafana to monitor Qdrant databases running in Qdrant Managed Cloud. Prerequisites This t…</description>
    </item>
    <item>
      <title>Jev and DuckDB: Plain-English Conditions in SQL</title>
      <link>https://duckdb.org/2026/09/29/jev.html</link>
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      <pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>DuckDB</dc:creator>
      <category>Databases</category>
      <description>DuckDB — TypeSafe AI released Jev, a model that returns typed answers instead of text, on September 15, 2026. Within ten days, several community extensions let you filter, classify and score DuckDB rows with plain-English conditi…</description>
    </item>
    <item>
      <title>Can your Postgres survive a bad query?</title>
      <link>https://clickhouse.com/blog/can-your-postgres-survive-a-bad-query</link>
      <guid isPermaLink="true">https://clickhouse.com/blog/can-your-postgres-survive-a-bad-query</guid>
      <pubDate>Mon, 28 Sep 2026 15:37:00 GMT</pubDate>
      <dc:creator>ClickHouse</dc:creator>
      <category>Databases</category>
      <description>ClickHouse — How do Postgres providers handle a query that exhausts memory? A recursive query benchmark compares query failures and cluster survival across ClickHouse Managed Postgres, Cloud SQL, PlanetScale, and Amazon RDS.</description>
    </item>
    <item>
      <title>PgQ and PgQue: Workflow Engines you might need in PostgreSQL</title>
      <link>https://www.percona.com/blog/pgq-and-pgque-workflow-engines-you-might-need-in-postgresql/</link>
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      <pubDate>Mon, 28 Sep 2026 14:43:00 GMT</pubDate>
      <dc:creator>Percona</dc:creator>
      <category>Databases</category>
      <description>Percona — In many real production databases, we often see some tables receiving high-frequency updates (millions per day) and autovacuum running repeatedly (hundreds of times per day). Additionally, those tables can sometimes beco…</description>
    </item>
    <item>
      <title>Inside branch-based restores in Lakebase Postgres</title>
      <link>https://neon.com/blog/inside-branch-based-restores-in-lakebase-postgres</link>
      <guid isPermaLink="true">https://neon.com/blog/inside-branch-based-restores-in-lakebase-postgres</guid>
      <pubDate>Mon, 28 Sep 2026 12:00:00 GMT</pubDate>
      <dc:creator>Neon</dc:creator>
      <category>Databases</category>
      <description>Neon — Restores are broken in managed OLTP, and they have been broken for a long time. They are slow, and they get slower with scale. The databases that need recovery most, the large production ones, are the ones left waiting t…</description>
    </item>
    <item>
      <title>Handling hot shards</title>
      <link>https://planetscale.com/blog/hot-shards-hotter-tenants</link>
      <guid isPermaLink="true">https://planetscale.com/blog/hot-shards-hotter-tenants</guid>
      <pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>PlanetScale</dc:creator>
      <category>Databases</category>
      <description>PlanetScale — What makes a good sharding strategy today might not work so well tomorrow. What happens when you have one tenant hitting your database orders of magnitude more than any other? Or product managers knocking down your door…</description>
    </item>
    <item>
      <title>The FinTech Scalability Crisis: How Distributed SQL Unlocks Innovation with Zero Downtime Operations</title>
      <link>https://www.pingcap.com/blog/fintech-scalability-crisis-how-distributed-sql-unlocks-innovation-zero-downtime/</link>
      <guid isPermaLink="true">https://www.pingcap.com/blog/fintech-scalability-crisis-how-distributed-sql-unlocks-innovation-zero-downtime/</guid>
      <pubDate>Sat, 26 Sep 2026 08:31:00 GMT</pubDate>
      <dc:creator>PingCAP (TiDB)</dc:creator>
      <category>Databases</category>
      <description>PingCAP (TiDB) — When Plaid’s Amazon Aurora MySQL fleet faced a major-version upgrade, the estimate came back at six engineering months and tens of minutes of downtime. For a company whose APIs sit underneath thousands of financial apps,…</description>
    </item>
    <item>
      <title>How to add hybrid search to a Postgres app with Pinecone in 2026</title>
      <link>https://www.pinecone.io/learn/hybrid-search-postgres-pinecone/</link>
      <guid isPermaLink="true">https://www.pinecone.io/learn/hybrid-search-postgres-pinecone/</guid>
      <pubDate>Fri, 25 Sep 2026 20:38:00 GMT</pubDate>
      <dc:creator>Pinecone</dc:creator>
      <category>Databases</category>
      <description>Pinecone — 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.</description>
    </item>
    <item>
      <title>How to stream PostgreSQL changes to Amazon S3 with AWS Fargate</title>
      <link>https://aws.amazon.com/blogs/database/how-to-stream-postgresql-changes-to-amazon-s3-with-aws-fargate/</link>
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      <pubDate>Fri, 25 Sep 2026 16:25:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Databases</category>
      <description>AWS Databases — In this post, we show you how to build a fully managed, event-driven change data capture (CDC) pipeline. It streams row-level changes from Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL to Amazon S3 in near real t…</description>
    </item>
    <item>
      <title>Apache Iceberg Views: Portable View Metadata Across SQL Engines</title>
      <link>https://www.dremio.com/blog/apache-iceberg-views-portable-view-metadata-across-sql-engines/</link>
      <guid isPermaLink="true">https://www.dremio.com/blog/apache-iceberg-views-portable-view-metadata-across-sql-engines/</guid>
      <pubDate>Fri, 25 Sep 2026 12:43:00 GMT</pubDate>
      <dc:creator>Dremio</dc:creator>
      <category>Databases</category>
      <description>Dremio — See how the Iceberg View Spec stores SQL representations, schemas, dependencies, versions, and dialects so catalogs can share views across engines. The post Apache Iceberg Views: Portable View Metadata Across SQL Engines…</description>
    </item>
    <item>
      <title>MERGE INTO Patterns for Apache Iceberg: Upserts and SCD Type 2</title>
      <link>https://www.dremio.com/blog/merge-into-patterns-for-apache-iceberg-upserts-and-scd-type-2/</link>
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      <pubDate>Fri, 25 Sep 2026 12:43:00 GMT</pubDate>
      <dc:creator>Dremio</dc:creator>
      <category>Databases</category>
      <description>Dremio — Use MERGE INTO with Iceberg for idempotent upserts and SCD Type 2 history, with SQL patterns, deduplication, late data, and file maintenance. The post MERGE INTO Patterns for Apache Iceberg: Upserts and SCD Type 2 appear…</description>
    </item>
    <item>
      <title>Change your components, keep your infrastructure</title>
      <link>https://www.pulumi.com/blog/component-state-migrations/</link>
      <guid isPermaLink="true">https://www.pulumi.com/blog/component-state-migrations/</guid>
      <pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Pulumi</dc:creator>
      <category>Databases</category>
      <description>Pulumi — Components let you turn a group of resources into a reusable building block. You can define a network, a database, or an application service once and share it across projects and teams. People using the component work wi…</description>
    </item>
    <item>
      <title>DuckDB and Hugging Face: Querying Datasets Directly</title>
      <link>https://duckdb.org/2026/09/25/hugging-face.html</link>
      <guid isPermaLink="true">https://duckdb.org/2026/09/25/hugging-face.html</guid>
      <pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>DuckDB</dc:creator>
      <category>Databases</category>
      <description>DuckDB — Hugging Face hosts hundreds of thousands of datasets, and DuckDB can read them directly, exactly where they are and without downloading anything, over the DuckDB `hf://` protocol. This post looks at how the integration w…</description>
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    <item>
      <title>Running open-Jev in SQL on Databricks</title>
      <link>https://www.databricks.com/blog/running-open-jev-sql-databricks</link>
      <guid isPermaLink="true">https://www.databricks.com/blog/running-open-jev-sql-databricks</guid>
      <pubDate>Thu, 24 Sep 2026 16:55:00 GMT</pubDate>
      <dc:creator>Databricks</dc:creator>
      <category>Databases</category>
      <description>Databricks — Over the weekend, “System One” decision models such as Jev have launched, which are...</description>
    </item>
    <item>
      <title>Browsing a Valkey keyspace safely: SCAN, INFO, and a read-only ACL user</title>
      <link>https://valkey.io/blog/browsing-a-valkey-keyspace-safely/</link>
      <guid isPermaLink="true">https://valkey.io/blog/browsing-a-valkey-keyspace-safely/</guid>
      <pubDate>Thu, 24 Sep 2026 01:01:00 GMT</pubDate>
      <dc:creator>Valkey</dc:creator>
      <category>Databases</category>
      <description>Valkey — Valkey rarely runs on its own. It often sits in front of a database, and when a page gets slow the answer is either a cache that is not being hit or a query that got worse. Checking both usually means one terminal on val…</description>
    </item>
    <item>
      <title>Hosting and Postgres after your first 100 users</title>
      <link>https://www.prisma.io/blog/choosing-hosting-and-postgres-after-your-first-100-users</link>
      <guid isPermaLink="true">https://www.prisma.io/blog/choosing-hosting-and-postgres-after-your-first-100-users</guid>
      <pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Prisma</dc:creator>
      <category>Databases</category>
      <description>Prisma — A scaling checklist, where to run your app, what Postgres costs at 100, 1,000 and 10,000 users with the arithmetic shown, and signs you have outgrown it.</description>
    </item>
    <item>
      <title>Neon vs Prisma Postgres: app and database in one place</title>
      <link>https://www.prisma.io/blog/neon-vs-prisma-postgres-app-hosting-in-one-place</link>
      <guid isPermaLink="true">https://www.prisma.io/blog/neon-vs-prisma-postgres-app-hosting-in-one-place</guid>
      <pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Prisma</dc:creator>
      <category>Databases</category>
      <description>Prisma — Neon and Prisma can both host your app next to Postgres. Compare previews, connection handling, idle cost and restores, and see when Neon is the better pick.</description>
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