# oracle Published articles for oracle. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Релиз OpenIDE 2026.2: одна IDE для Java, Kotlin, Go, Python и веб-разработки DevFeed: [Релиз OpenIDE 2026.2: одна IDE для Java, Kotlin, Go, Python и веб-разработки]() Original publisher: [Read original article]() Author: honest\_niceman (Haulmont) Published: 2026-09-17T09:12:16Z Content type: release Language: ru Sources: [Tagir Valeev]() Topics: [intellij-platform](), [Java](), [Git](), [Kotlin](), [Gradle](), [Databases](), [Docker](), [Go](), [Python](), [SQL](), [JSON]() Tags: [2](), [2026](), [2026-2](), [compose](), [db-eaa4bca15522](), [docker](), [docker-bdf52bf499c4](), [git](), [go](), [gradle](), [ide-1f5689fe989b](), [ide-af948443b041](), [ide-java-0ad4946a0e57](), [intellij-idea-27f15aabb340](), [intellij-platform](), [java](), [javascript](), [json](), [kotlin](), [openide](), [openide-2026-2](), [openide-pro](), [oracle](), [sql](), [structure]() ### AI overview OpenIDE 2026.2 updates its base platform, expands Java and Kotlin support, improves Git and Gradle workflows, and updates its Java profiler. The release also includes improvements to the DB client and Docker plugin, including SQL formatting, Greenplum support, JSON highlighting, and enhanced Compose service management. ### Source excerpt Обновили базовую платформу до версии 2026.2, расширили поддержку Java и Kotlin, улучшили работу с Git и обновили Java-профилировщик. Доработали редактор и подсказки в терминале, добавили проверки настроек Gradle и упростили переход к исходникам библиотек. Через Git worktrees теперь можно работать с несколькими ветками одновременно. Читать далее ## Java 27 Delivers Post-Quantum Cryptography, Future Language Innovation, Helidon 27, JavaFX 27 DevFeed: [Java 27 Delivers Post-Quantum Cryptography, Future Language Innovation, Helidon 27, JavaFX 27]() Original publisher: [Read original article]() Author: Michael Redlich Published: 2026-09-16T10:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Java](), [java-27](), [Post-quantum cryptography](), [Cryptography](), [Security](), [Programming](), [releases]() Tags: [application-security](), [architecture-design](), [cryptography](), [development](), [digital-signature](), [helidon](), [java](), [java-27](), [java27-released](), [javafx](), [jdk-27](), [jdk-28](), [lattice](), [module](), [news](), [oracle](), [portfolio](), [post-quantum-cryptography](), [preview](), [project-valhalla](), [quantum-computing](), [release](), [security](), [structured-concurrency](), [vector]() ### AI overview Oracle released Java 27, the second non-LTS release since JDK 25. Its final feature set contains nine JEPs, including post-quantum hybrid key exchange for TLS 1.3, structured concurrency, compact object headers, JFR data redaction, the Vector API, and PEM encodings for cryptographic objects. Five features remain in preview or incubator stages. ### Source excerpt Oracle has released version 27 of the Java programming language and virtual machine. As the second non-LTS release since JDK 25, the final feature set includes nine JEPs, five of which are still progressing through the preview and incubator stages. This release focuses on strengthening security, future language innovation, and projects under the auspices of the Java Verified Portfolio. By Michael Redlich ## JDK 27 Is Generally Available with Nine JEP-Backed Enhancements DevFeed: [JDK 27 Is Generally Available with Nine JEP-Backed Enhancements]() Original publisher: [Read original article]() Author: On September Published: 2026-09-15T00:00:00Z Content type: release Language: en Sources: [Inside Java]() Topics: [JDK 27](), [Java](), [Security](), [Cryptography](), [Quantum Computing]() Tags: [announce](), [cryptography](), [improvements](), [java](), [jdk](), [jdk-27](), [oracle](), [quantum](), [security]() ### AI overview Oracle announces the general availability of JDK 27, which includes nine enhancements covered by JDK Enhancement Proposals, including preview and incubator features across the Java language, security, performance, runtime, and libraries. ### Source excerpt JDK 27 is now available! Oracle is proud to announce the general availability of JDK 27 for developers, enterprises, and end-users. ## Percona and HexaCluster: Faster, Safer Oracle Migration DevFeed: [Percona and HexaCluster: Faster, Safer Oracle Migration]() Original publisher: [Read original article]() Author: Percona Team Published: 2026-09-14T22:19:16Z Content type: article Language: en Sources: [Blog - Percona]() Topics: [Oracle Database](), [migration](), [Open Source](), [PostgreSQL](), [Database Migration](), [Replication](), [Tooling]() Tags: [database](), [database-migration](), [database-trends](), [engineering](), [insight-for-dbas](), [insight-for-developers](), [migration](), [open-source](), [oracle](), [partners](), [percona](), [postgresql](), [replication](), [schema](), [sql](), [tooling](), [validation]() ### AI overview Percona and HexaCluster describe a partnership for moving organizations from Oracle, SQL Server, DB2, and Sybase ASE to supported open source databases, primarily PostgreSQL. HexaCluster provides assessment and migration engineering through DMAT and HexaRocket, while Percona provides distributions, operators, and long-term support. HexaRocket combines schema migration, data migration, validation, change data capture, live replication, and reverse replication in one platform. ### Source excerpt Percona and HexaCluster have partnered to remove the hardest part of an open source database migration: getting off Oracle, SQL Server, DB2 or Sybase ASE with confidence, on a predictable timeline, without a multi-year consulting program. Percona brings open source expertise, its own distributions, operators and enterprise support. HexaCluster brings the assessment and migration engineering ... Continued The post Percona and HexaCluster: Faster, Safer Oracle Migration appeared first on Percona. ## Oracle celebrates banner quarter with another round of layoffs DevFeed: [Oracle celebrates banner quarter with another round of layoffs]() Original publisher: [Read original article]() Author: Brandon Vigliarolo Published: 2026-09-14T20:46:57Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Cloud](), [Artificial Intelligence]() Tags: [ai](), [ai-and-ml](), [cloud](), [databases](), [layoff](), [oracle]() ### AI overview Oracle celebrates a strong quarter while announcing another round of layoffs, described as connected to the growth of its AI cloud business. ### Source excerpt Congratulations on helping Larry Ellison's AI cloud boom. Now please pack your bags and go ## Security updates for Friday DevFeed: [Security updates for Friday]() Original publisher: [Read original article]() Author: jzb Published: 2026-09-11T13:14:32Z Content type: news Language: en Sources: [LWN.net]() Topics: [Debian](), [cURL](), [Azure]() Tags: [azure](), [debian](), [ggml](), [kernel](), [linux](), [nvidia](), [oracle](), [python](), [ruby](), [security](), [updates]() ### AI overview Security updates have been issued across AlmaLinux, Debian, Fedora, Oracle, Red Hat, SUSE, and Ubuntu for a broad set of system libraries, tools, runtimes, and applications. ### Source excerpt Security updates have been issued by AlmaLinux (apr-util and qt6-qt5compat), Debian (libevent and ruby-rack), Fedora (bluez, corosync, curl, dokuwiki, grpcurl, libevent, and rest), Oracle (gstreamer1-plugins-bad-free, perl-DBI, python-urllib3, qt5-qtbase, qt6-qt5compat, and thunderbird), Red Hat (osbuild-composer), SUSE (azure-storage-azcopy, chromedriver, corosync, ggml-devel, helm, kernel, libmariadb-devel, libzypp, zypper, opensc, php7, tomcat10, and waylyrics), and Ubuntu (apache2, beets, glibc, kissfft, libebml, linux-nvidia-6.17, php8.1, php8.3, php8.5, and python2.7, python3.4, python3.5, python3.6, python3.7, python3.8, python3.9, python3.10, python3.11, python3.12, python3.14). ## Oracle says AI will save it from the SaaSpocalypse, not bring it on DevFeed: [Oracle says AI will save it from the SaaSpocalypse, not bring it on]() Original publisher: [Read original article]() Author: Simon Sharwood Published: 2026-09-11T02:43:10Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [AI, ML & Data Engineering]() Tags: [ai](), [ai-and-ml](), [applications](), [oracle](), [saas](), [sales](), [software](), [speed]() ### AI overview Oracle says AI can provide a better interface, speed installations, and drive IaaS sales rather than cause a SaaS decline. ### Source excerpt It's a better interface, can speed installations, and drives IaaS sales too ## AI job cuts could come with a costly undo button DevFeed: [AI job cuts could come with a costly undo button]() Original publisher: [Read original article]() Author: Lindsay Clark Published: 2026-09-10T16:21:22Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Machine learning]() Tags: [ai](), [ai-and-ml](), [enterprise](), [gartner](), [job-cuts](), [oracle]() ### AI overview Gartner estimates that nearly a third of displaced employees could be rehired by 2029, at a premium. ### Source excerpt Gartner reckons nearly a third of displaced employees may be rehired by 2029 - at a premium ## Security updates for Thursday DevFeed: [Security updates for Thursday]() Original publisher: [Read original article]() Author: jzb Published: 2026-09-10T13:14:35Z Content type: news Language: en Sources: [LWN.net]() Topics: [Security, Privacy and Abuse Prevention](), [.NET](), [Boot Process, passwd, systemd](), [Grafana]() Tags: [ansible](), [grafana](), [kernel](), [linux](), [net](), [opentelemetry](), [oracle](), [prometheus](), [python](), [redis](), [rust](), [security](), [systemd](), [ubuntu](), [updates]() ### AI overview A roundup of security updates issued by several Linux distributions for a range of packages. ### Source excerpt Security updates have been issued by AlmaLinux (389-ds-base, ansible-core, buildah, expat, glib2, gpsd, gpsd-minimal, gzip, kernel, kernel-rt, opentelemetry-collector, osbuild-composer, perl-DBI, python-lxml, python3.12-lxml, qt5-qtbase, thunderbird, valkey, vim, and xz), Debian (pyasn1), Fedora (darktable, freeipa, freerdp2, gdk-pixbuf2, GitPython, libsoup3, openssl, perl-Net-DNS, rust-ppmd-rust, samba, and valkey), Mageia (ceph, firefox, nss, perl-DBI, thunderbird, and wget), Oracle (389-ds-base, buildah, expat, git-lfs, glib2, glibc, gpsd, gpsd-minimal, grafana-pcp, kernel, libssh, nginx, perl-GD, python3.14-cryptography, redis:7, skopeo, thunderbird, valkey, xmlrpc-c, and xz), Slackware (xz), SUSE (bzip2, cpio, curl, dracut, fuse-overlayfs, golang-github-vpenso-prometheus_slurm_exporter, helm, java-1_8_0-ibm, kbfs, kernel, kernel-devel, libopenslide-devel, libsoup, libssh2_org, libusb-1_0, libvirt, libzypp, zypper, mcphost, multipath-tools, NetworkManager, opensc, openssl-3, perl-Net-DNS, python-aiohttp, python-Authlib, python-pip, python-sqlparse, python313-dnspython, python313-idna, rpcbind, sssd, strongswan, systemd, tomcat11, ucode-intel, and wget), and Ubuntu (dotnet8, dotnet10, ffmpeg, flatpak, netty, and perl). ## PostgreSQL Migrator 1.0 : first stable release DevFeed: [PostgreSQL Migrator 1.0 : first stable release]() Original publisher: [Read original article]() Published: 2026-09-10T00:00:00Z Content type: release Language: en Sources: [PostgreSQL news]() Topics: [migration](), [Databases](), [releases](), [MySQL](), [Oracle Database](), [ci]() Tags: [ci](), [migration](), [mysql](), [open-source](), [oracle](), [postgresql](), [release]() ### AI overview PostgreSQL Migrator 1.0 is the first stable release of an open-source tool for migrating Oracle, MySQL, and MariaDB databases to PostgreSQL. It supports full inspection and limited conversion and migration for selected database objects, with compatibility promised across 1.x releases. ### Source excerpt Paris, 7th september 2026. The Dalibo team is pleased to announce the release of PostgreSQL Migrator 1.0 stable, a free and open-source tool designed to help migrate databases from Oracle and MySQL/MariaDB to PostgreSQL. Key features Easy installation: pure Go binary with zero proprietary dependencies. Fast, offline inspection: Extract the full source catalog once, then iterate on conversion offline. Complexity scoring: Quickly assess and compare the difficulty of migration projects. Interactive web UI: Browse both the original and converted catalogs, search objects, and identify migration blockers. Schema and data conversion: Converts datatype and SQL expression, convert column to boolean. Code analysis and transpilation: Transpiles and analyzes SQL, PL/SQL and routines with the companion transqlate tool. High-performance data copy: Streamed bulk COPY to PostgreSQL (or to files / pipes), with low memory usage and significantly higher throughput than traditional tools in our tests. Hackable & configurable: Reliable JSON catalog data, TOML configuration, and templating for fine-tuning. Supported features PostgreSQL Migrator supports migrating from Oracle Database 11g to 26ai, MySQL 8.4+ and MariaDB 10+ to PostgreSQL 16 up to 19. Version 1.0 has full inspection including jobs, system triggers, etc. However, conversion and migration is limited to role, schema, sequences, table, virtual columns, constraints and indexes. The documentation describes implemented and planned features including views, procedural objects, SQL Server and more. Stability We have built a demanding CI pipeline including end-to-end tests based on Oracle Free container and cypress. This effectively prevents regression and ensure quality. After one year of beta and rc, PostgreSQL Migrator is stable. We'll ensure configuration, CLI and project compatibility for all 1.x releases. License and availability PostgreSQL Migrator is released under the PostgreSQL License. Documentation: https://postgresql-mi ## Getting started with Oracle Database@AWS: A complete onboarding guide DevFeed: [Getting started with Oracle Database@AWS: A complete onboarding guide]() Original publisher: [Read original article]() Author: Raghu Soma Published: 2026-09-08T16:59:29Z Content type: tutorial Language: en Sources: [AWS Database Blog]() Topics: [Oracle Database](), [cloud-infrastructure](), [AWS IAM]() Tags: [aws](), [aws-marketplace](), [best-practices](), [database](), [guide](), [iam](), [infrastructure](), [intermediate-200](), [onboarding](), [oracle](), [oracle-database-aws]() ### AI overview A step-by-step guide to onboarding Oracle Database@AWS, covering service selection, AWS Marketplace offers, prerequisites, OCI tenancy linking, and IAM configuration before provisioning. ### Source excerpt A practical, step-by-step guide to getting Oracle Database@AWS up and running. It covers the five procurement and onboarding steps, from securing your AWS Marketplace offer through validating prerequisites, linking your OCI tenancy, and configuring IAM, so you can move from purchase to a provisioning-ready environment. ## Announcing Oracle Jipher 10.37: FIPS 140-3 Cryptography for Java DevFeed: [Announcing Oracle Jipher 10.37: FIPS 140-3 Cryptography for Java]() Original publisher: [Read original article]() Author: Poonam Parhar Published: 2026-08-25T00:00:00Z Content type: release Language: en Sources: [Inside Java]() Topics: [Cryptography](), [fips 140-3](), [openssl](), [Java](), [Encryption](), [Security, Privacy and Abuse Prevention]() Tags: [cryptographic](), [cryptography](), [fips](), [fips-140-3](), [java](), [openssl](), [oracle](), [security](), [standard]() ### AI overview Oracle Jipher 10 packages a FIPS 140-3 validated OpenSSL cryptographic module and exposes cryptographic services through Java Cryptography Architecture (JCA). ### Source excerpt Oracle Jipher 10 packages a FIPS 140-3 validated OpenSSL cryptographic module, making cryptographic services available through the standard Java Cryptography Architecture (JCA) framework. ## Oracle August 2026 Critical Security Patch Update Addresses 925 CVEs DevFeed: [Oracle August 2026 Critical Security Patch Update Addresses 925 CVEs]() Original publisher: [Read original article]() Author: Research Special Operations Published: 2026-08-19T00:41:38Z Content type: article Language: en Sources: [Tenable Blog]() Topics: [Security](), [Vulnerabilities]() Tags: [analysis](), [oracle](), [security](), [update](), [vulnerabilities]() ### AI overview Oracle's August 2026 Critical Security Patch Update addresses 925 unique CVEs through 943 security updates across 23 product families, including 154 critical patches. The release is substantially larger than the June CSPU and includes a high concentration of high-severity issues, with Oracle Fusion Middleware receiving the most patches. ### Source excerpt Oracle addresses 925 CVEs in its August 2026 Critical Security Patch Update with 943 patches, including 154 critical updates. Key Takeaways The August 2026 Critical Security Patch Update (CSPU) contains fixes for 925 unique CVEs in 943 security updates 154 issues (16.3% of all patches) were assigned a critical severity rating Oracle Fusion Middleware received the highest number of patches at 262, accounting for 27.8% of all patches Background On August 18, Oracle released its Critical Security Patch Update (CSPU) for August 2026. Beginning in May 2026, Oracle introduced CSPUs as a monthly release cycle that sits between the larger quarterly Critical Patch Updates (CPUs), addressing a focused set of high-severity issues on a faster cadence. This CSPU contains fixes for 925 unique CVEs in 943 security updates across 23 Oracle product families, a nearly fourfold increase in patch volume compared to the June 2026 CSPU, which addressed 243 CVEs in 245 patches across 11 product families. To put that in context against the quarterly CPUs: the April 2026 CPU contained 481 patches across 241 CVEs, and the July 2026 CPU, the largest CPU release of 2026, contained 1,449 patches across 1,235 CVEs. August's CSPU at 943 patches sits well above the April CPU and represents roughly 65% of July's quarterly volume, a striking figure for what is nominally a targeted between-cycle release. The expansion to 23 product families (up from 11 in June) further blurs the line between CSPU and CPU in terms of scope. Out of the 943 security updates published, 16.3% of patches were assigned a critical severity. High severity patches accounted for the bulk of security patches at 59%, followed by medium severity patches at 21%. This month's update includes 154 critical patches across 151 CVEs. SeverityIssues PatchedCVEsCritical154151High556541Medium198198Low3535Total943925 Analysis This month's update saw the Oracle Fusion Middleware product family contain the highest number of patches at 262, acc ## Characterizing SQL\*Net latency in your application for Oracle Database@AWS migrations DevFeed: [Characterizing SQL\*Net latency in your application for Oracle Database@AWS migrations]() Original publisher: [Read original article]() Author: Sameer Malik Published: 2026-08-18T18:17:28Z Content type: article Language: en Sources: [AWS Database Blog]() Topics: [Oracle Database](), [Latency](), [migration](), [Amazon Web Services](), [Database](), [Network]() Tags: [advanced-300](), [amazon-ec2](), [amazon-elastic-container-service](), [amazon-elastic-kubernetes-service](), [amazon-vpc](), [aws](), [best-practices](), [database](), [latency](), [migration](), [network](), [oracle](), [oracle-database-aws](), [performance]() ### AI overview This article presents a methodology for assessing SQL*Net latency sensitivity before migrating Oracle workloads to Oracle Database@AWS. It focuses on identifying workloads with fast, frequent, and concentrated SQL activity, then quantifying the impact of added network round-trip latency in a multi-cloud architecture. It also discusses reducing client-server round trips through stored procedures, array fetches, and bulk processing. ### Source excerpt Oracle Database@AWS places Oracle Exadata infrastructure inside AWS data centers, so SQL*Net latency between your application and the database can change after migration. This post presents the CRET methodology, a three-phase approach using AWR, Active Session History, and SQL Trace, to identify latency-sensitive SQL and quantify the impact before you migrate. ## Migrate Oracle Materialized Views with AWS DMS and Fast Refresh DevFeed: [Migrate Oracle Materialized Views with AWS DMS and Fast Refresh]() Original publisher: [Read original article]() Author: Abhilash Negi Published: 2026-08-18T16:36:11Z Content type: tutorial Language: en Sources: [AWS Database Blog]() Topics: [AWS Database Migration Service](), [migration]() Tags: [advanced-300](), [analytics](), [architecture](), [aws](), [aws-database-migration-service](), [cloud](), [data](), [database](), [database-migration](), [datasets](), [how-to](), [latency](), [logs](), [migration](), [oracle](), [performance](), [real-time](), [replication](), [technical-how-to](), [testing](), [validation](), [workflow]() ### AI overview A tutorial for configuring Oracle materialized views with Fast Refresh and materialized view logs so AWS DMS can replicate incremental CDC changes instead of complete refreshes. ### Source excerpt Learn how to configure Oracle Materialized Views with Fast Refresh and materialized view logs to enable efficient, incremental AWS DMS change data capture (CDC) replication. This approach eliminates full-reload overhead and achieves near real-time migration of large, multi-table joined views to AWS. ## Stream Oracle changes to ClickHouse in real time DevFeed: [Stream Oracle changes to ClickHouse in real time]() Original publisher: [Read original article]() Author: Prakhar Garg Published: 2026-07-07T00:00:00Z Content type: tutorial Language: en Sources: [Redpanda]() Topics: [clickhouse](), [Redpanda-Connect](), [Oracle Database](), [Kafka](), [real-time](), [data](), [Database](), [YAML]() Tags: [clickhouse](), [connectors](), [data](), [database](), [event](), [integration](), [kafka](), [oracle](), [pipeline](), [real-time](), [redpanda-connect](), [schema](), [yaml]() ### AI overview A hands-on walkthrough shows how to stream Oracle change data capture events through Redpanda Connect into ClickHouse in real time. It uses Oracle LogMiner and YAML-configured pipelines, with a Redpanda topic serving as an intermediate store before data is delivered to ClickHouse or other destinations. ### Source excerpt A hands-on walkthrough of the new Oracle input in Redpanda Connect. No Debezium, no Kafka Connect runtime, no JVM. ## Deploy a Production-Ready NVIDIA AI-Q Blueprint on Oracle Cloud Infrastructure DevFeed: [Deploy a Production-Ready NVIDIA AI-Q Blueprint on Oracle Cloud Infrastructure]() Original publisher: [Read original article]() Author: Anurag Kuppala Published: 2026-06-26T19:00:45Z Content type: tutorial Language: en Sources: [NVIDIA Technical Blog]() Topics: [Artificial Intelligence](), [Terraform](), [Kubernetes](), [Cloud](), [LangChain](), [Retrieval Augmented Generation (RAG)](), [NeMo](), [API keys]() Tags: [agentic-ai-generative-ai](), [ai](), [ai-agent](), [ai-agents](), [api-keys](), [data-center-cloud](), [featured](), [kubernetes](), [langchain](), [nemo](), [oracle](), [rag](), [terraform]() ### AI overview A tutorial for deploying the open-source NVIDIA AI-Q 2.0 multi-agent blueprint on Oracle Cloud Infrastructure. It uses Terraform to provision OCI resources and Helm to install workloads on OKE, resulting in an AI-Q endpoint with a teardown command. ### Source excerpt AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep... ## Oracle CDC now available in Redpanda Connect DevFeed: [Oracle CDC now available in Redpanda Connect]() Original publisher: [Read original article]() Author: Prakhar Garg Published: 2026-04-09T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [Databases](), [Streaming](), [Structured-data](), [Transactions](), [data](), [systems]() Tags: [announcement](), [data](), [debezium](), [event](), [jvm](), [oracle](), [redpanda-connect](), [schema](), [streaming](), [transactions]() ### AI overview Redpanda Connect v4.83.0 introduces a native Oracle CDC connector that captures inserts, updates, and deletes without a JVM, Kafka Connect cluster, or separate workers. It can snapshot existing tables, stream subsequent changes from Oracle redo logs, resume from checkpoints, and route schema-tracked Avro events to per-table Redpanda topics. ### Source excerpt Native CDC for Oracle enables real-time access without rearchitecting. No JVM, middleware, or operational overhead. ## Introducing the NUMBER data type DevFeed: [Introducing the NUMBER data type]() Original publisher: [Read original article]() Author: Piotr Findeisen, Starburst Data Published: 2026-03-25T00:00:00Z Content type: article Language: en Sources: [Trino Blog]() Topics: [data](), [SQL](), [data-architecture](), [Databases](), [Oracle Database](), [PostgreSQL](), [MySQL](), [MariaDB]() Tags: [data](), [database](), [integration](), [mysql](), [oracle](), [postgresql](), [sql](), [types]() ### AI overview Trino 480 introduces the NUMBER data type, enabling high-precision, variable-scale decimal values beyond the existing 38-digit DECIMAL limit. The feature improves access to numeric data across Oracle, PostgreSQL, MySQL, MariaDB, and SingleStore systems while avoiding skipped columns or lossy rounding. ### Source excerpt One of Trino's core strengths is breaking down data silos--enabling data engineers to query diverse data sources through a single SQL interface. However, when those sources use high-precision numeric types beyond Trino's 38-digit DECIMAL limit, that promise breaks down. Users faced an impossible choice: skip the columns entirely and lose access to critical data, or accept lossy rounding that compromises data integrity. This challenge required a new approach: a dedicated data type for high-precision, variable-scale decimals. ## MOLT: A Toolkit for Migrations You Can Trust DevFeed: [MOLT: A Toolkit for Migrations You Can Trust]() Original publisher: [Read original article]() Author: Becca Weng Published: 2026-01-21T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [migration](), [CockroachDB](), [Databases](), [Replication](), [Scalability](), [Parsing]() Tags: [cockroachdb](), [database](), [distributed](), [insights](), [migrations](), [mysql](), [oracle](), [postgres](), [scalability](), [sql-server](), [tools]() ### AI overview This article presents Cockroach Labs' MOLT toolkit for migrating databases to CockroachDB. It describes schema conversion, bulk data transfer, verification, and live replication as parts of a modular migration workflow. ### Source excerpt Migrating a database is always a high-stakes operation. Downtime, data correctness, data loss, and customer experience are all on the line. Not to mention the business risk if a migration goes poorly. While there are a number of third-party tools that support data migration to CockroachDB, we have the expertise and insights into our product. We knew we could make migrations as efficient as possible in-house. ## Why Oracle and Amazon Aurora May Strain Under Cloud-Scale Workloads DevFeed: [Why Oracle and Amazon Aurora May Strain Under Cloud-Scale Workloads]() Original publisher: [Read original article]() Author: David Weiss Published: 2026-01-16T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Oracle Database](), [Amazon Aurora](), [Cloud](), [Databases](), [Availability](), [consistency](), [systems](), [Deployment]() Tags: [alternatives](), [amazon-aurora](), [architecture](), [availability](), [cloud](), [consistency](), [deployment](), [distributed](), [oracle](), [performance]() ### AI overview The article argues that Oracle and Amazon Aurora were designed around architectural assumptions that can constrain modern cloud-scale workloads. It outlines requirements including global availability, horizontal scaling for reads and writes, strong cross-region consistency, zero-downtime operations, and flexible deployment. ### Source excerpt Oracle and Amazon Aurora continue to power many mission-critical applications. As cloud-scale workloads evolve, however, the definition of "enterprise-ready" has fundamentally shifted. ## How to map the Oracle TIMESTAMP WITH TIME ZONE with JPA DevFeed: [How to map the Oracle TIMESTAMP WITH TIME ZONE with JPA]() Original publisher: [Read original article]() Author: vladmihalcea Published: 2025-03-18T16:21:37Z Content type: tutorial Language: en Sources: [Vlad Mihalcea]() Topics: [Oracle Database](), [Java](), [SQL]() Tags: [article](), [hibernate](), [how-to](), [java](), [jpa](), [mapping](), [offsetdatetime](), [oracle](), [sql](), [timezone](), [types](), [zoneddatetime]() ### AI overview A tutorial on mapping Oracle TIMESTAMP WITH TIME ZONE columns to Java date-time types using JPA and Hibernate. It explains how ZonedDateTime and OffsetDateTime correspond to the Oracle column type and how to preserve time zone region information when retrieving values. ### Source excerpt Introduction In this article, I'm going to explain how to map the Oracle TIMESTAMP WITH TIME ZONE with JPA and Hibernate. While the DATE and TIMESTAMP column types are suitable for mapping the LocalDateTime, the TIMESTAMP WITH TIME ZONE column type allows us to map both the ZonedDateTime and OffsetDateTime. Oracle TIMESTAMP WITH TIME ZONE Traditionally, Oracle provided the DATE and TIMESTAMP column types to store timestamp values. The difference between the DATE and TIMESTAMP types is that the TIMESTAMP column type allows us to store fractional seconds while the DATE type... Read More The post How to map the Oracle TIMESTAMP WITH TIME ZONE with JPA appeared first on Vlad Mihalcea. ## jOOQ 3.20 released with ClickHouse, Databricks, and much more DuckDB support, new modules, Oracle type hierarchies, more spatial support, decfloat and synonym support, hidden columns, Scala 3, Kotlin 2, and much more DevFeed: [jOOQ 3.20 released with ClickHouse, Databricks, and much more DuckDB support, new modules, Oracle type hierarchies, more spatial support, decfloat and synonym support, hidden columns, Scala 3, Kotlin 2, and much more]() Original publisher: [Read original article]() Author: lukaseder Published: 2025-02-20T10:27:54Z Content type: release Language: en Sources: [jOOQ]() Topics: [clickhouse](), [databricks](), [SQL](), [DuckDB](), [modules](), [Oracle Database](), [Kotlin](), [Scala](), [reactive](), [jpa]() Tags: [array](), [clickhouse](), [databricks](), [decfloat](), [dirty-tracking](), [dml-join](), [duckdb](), [hidden-columns](), [jdk-21](), [jooq](), [jooq-3-20](), [jooq-development](), [jpa](), [json](), [kotlin](), [kotlin-2](), [merge](), [modules](), [oracle](), [oracle-plsql-types](), [r2dbc](), [reactive](), [scala](), [scala-3](), [sequences](), [spatial](), [sql]() ### AI overview jOOQ 3.20 introduces experimental ClickHouse and Databricks SQL dialects, improves DuckDB support, adds new integration modules, and expands support for Oracle type hierarchies, spatial features, decfloat, synonyms, hidden columns, Scala 3, and Kotlin 2. ### Source excerpt New dialects: jOOQ 3.20 ships with 2 new experimental dialects: ClickHouse is a fast-moving SQL dialect with a historic vendor-specific syntax that is gradually migrated to a more standards compliant alternative, which is why our support is still experimental. A lot of behaviours differ from what one would expect elsewhere, including NULL handling, which is ... Continue reading jOOQ 3.20 released with ClickHouse, Databricks, and much more DuckDB support, new modules, Oracle type hierarchies, more spatial support, decfloat and synonym support, hidden columns, Scala 3, Kotlin 2, and much more -> ## SQL vs NoSQL Explained DevFeed: [SQL vs NoSQL Explained]() Original publisher: [Read original article]() Author: Nelson Djalo Published: 2024-07-02T16:00:57Z Content type: comparison Language: en Sources: [Amigoscode Newsletter]() Topics: [NoSQL](), [SQL](), [Databases](), [clickhouse]() Tags: [acid](), [business-intelligence](), [consistency](), [data-analysis](), [database](), [database-scalability](), [durability](), [microsoft](), [mysql](), [nosql](), [olap](), [oracle](), [postgresql](), [rdbms](), [relational-database-management-systems-rdbms](), [relational-databases](), [schema](), [sql]() ### AI overview This comparison explains the differences between SQL and NoSQL databases, including their characteristics, scalability models, and common use cases. It covers SQL database features such as structured schemas and ACID compliance, along with relational and OLAP database categories. ### Source excerpt Choosing the Right Database for Your Needs [Next page]()