diff --git a/advocacy_docs/edb-postgres-ai/overview/latest-release-news/2024q4release.mdx b/advocacy_docs/edb-postgres-ai/overview/latest-release-news/2024q4release.mdx new file mode 100644 index 00000000000..c19b3bf0bf0 --- /dev/null +++ b/advocacy_docs/edb-postgres-ai/overview/latest-release-news/2024q4release.mdx @@ -0,0 +1,104 @@ +--- +title: "EDB Postgres AI Q4 2024 release highlights" +navTitle: Q4 2024 release highlights +description: The latest features released and updated in EDB Postgres AI. +date: 2024-12-10 +--- + +Date: **December 10, 2024** + +This [release roundup](https://www.enterprisedb.com/blog/solving-enterprise-generative-ai-and-analytics-challenges-zooming-our-q4-2024-release) originally appeared on the EDB blog. + +## Introducing the EDB Postgres AI Software Deployment: cloud agility, on your terms + +### **Enable cloud agility and AI sovereignty for critical data infrastructure –  anywhere, any environment.** + +Earlier today, we [announced](https://www.enterprisedb.com/news/edb-brings-cloud-agility-and-observability-hybrid-environments-sovereign-control) major updates to the [EDB Postgres AI](https://www.enterprisedb.com/products/edb-postgres-ai) sovereign data and AI platform. In the wake of data and AI becoming increasingly important to business innovation, our customers have asked us for more flexible solutions that offer both agility and control.  + +In response, we’ve launched a number of new generally available and preview capabilities to help accelerate deployment of EDB Postgres AI in [sovereign](https://www.enterprisedb.com/use-case/sovereign-ai), hybrid environments as an [omni-data platform](https://www.enterprisedb.com/use-case/omni-data-platform) that works across your enterprise’s data corpus to drive faster time to market for data-driven applications. With the new [EDB Postgres AI Software Deployment](https://www.enterprisedb.com/products/software-deployment), you can deploy, manage, scale, and observe mission critical data infrastructure in any self-managed, hybrid, or public cloud environment. + +The single container-driven software installation enables the consolidation of structured and unstructured data in a single multi-model data platform to accelerate transactional, analytical, and AI workloads. The Software Deployment unlocks a number of new capabilities: + +1. **Hybrid Control Plane**, enabling a hybrid database-as-a-service (DBaaS) with Kubernetes-driven automation and advanced observability across 200+ metrics to enable a cloud-like experience – even in your private data center. +2. **Analytics Accelerator**, which unlocks rapid analytics across unified business data in Postgres, powering 30x faster query performance and improving cost efficiency. +3. **AI Accelerator**, the fastest way to test and launch enterprise generative AI (GenAI) applications like chatbots and recommendation engines, so you can build cutting-edge GenAI functionality with just 5 lines of familiar SQL code (rather than 130+ using standard approaches). + +To continue supporting our customers’ requirements as they evolve with their growing transactional workloads, we’ve also released enhancements to our **transactional database server software** and tooling, including **EDB Postgres 17** to meet the demands of modern workloads and the **EDB Software Bill of Materials**, offering visibility into your secure open source supply chain.  + +Today, these **transactional database enhancements** are **generally available**, along with the **AI Accelerator**. The **Hybrid Control Plane** and **Analytics Accelerator** are **now available for preview** through a [concierge demo experience](https://www.enterprisedb.com/engage). + +## What’s in Preview? Unlock Cloud Scale And Rapid Analytics In Hybrid Environments  + +### **Hybrid Control Plane** + +_Automation, single pane of glass management, and observability across hybrid data estates._ + +Modern enterprises manage data across multiple clouds and on-premises deployments. The undifferentiated heavy lifting of database administration often distracts operators and engineers from more value-oriented work, like improving app scalability and accelerating time to market for data initiatives. While public cloud Database-as-a-Service (DBaaS) offerings provide automation of administrative tasks, they require tradeoffs on control, data sovereignty and deployment flexibility.  + +The **Hybrid Control Plane** is a **centralized management and automation solution** for the EDB Postgres AI Software Deployment, providing cloud automation and agility in a self-hosted environment. It boosts productivity up to 30% by automating time-consuming and expensive administrative functions like backups, provisioning, and point-in-time recovery – enabling a [hybrid (DBaaS) experience](https://www.enterprisedb.com/use-case/hybrid-dbaas). Monitor, observe, and respond to issues in real-time with visibility into 200+ metrics, keeping databases secure and enabling up to 99.999% availability. Plus, with built-in query diagnostics, you can identify problems and bottlenecks up to 5x faster and accelerate application performance up to 8x.  + +See a demo of the Hybrid Control Plane in action! + +
+ + +### **Analytics Accelerator** + +_Unify transactional and analytical workloads in Postgres with lower cost, faster performance, and simpler operations._  + +Scaling analytics workloads is crucial for modern enterprises that deal with high volumes of data and demand for rapid insights. Running these analytics queries directly on transactional data requires teams to spend significant time on data management and can degrade operational performance and slow down time-to-insights. + +EDB’s [**Analytics Accelerator**](https://www.enterprisedb.com/products/analytics-accelerator) leverages lakehouse ecosystem integration and a Vectorized Query Engine so you can use SQL to query columnar data in external object storage. This allows you to run complex analytical queries across core business data with no lag on existing transactional workloads — 30x faster than standard Postgres. + +It also supports Tiered Tables functionality, ensuring optimal performance by automatically offloading cold data to columnar tables in object storage, reducing overall storage costs with 18x more cost efficiency and simplifying the process of managing analytics over multiple data tiers.  + +Watch a demo to see how to add an analytics node, sync data, and integrate with Databricks, improving insights without sacrificing performance. + +
+ + +### **EDB Data Migration Service (DMS) and Data Sync** + +_Accelerate seamless migrations to break free from legacy constraints and innovate faster._ + +Today, organizations want to break free from legacy systems to tackle next-gen application development, which requires diverse data models and open standards that integrate with modern data stacks. + +[Modernizing](https://www.enterprisedb.com/use-case/modernize-legacy-applications) from legacy systems to EDB Postgres AI unlocks rapid innovation and growth for enterprises enabling seamless migrations to enterprise-grade PostgreSQL. The [**EDB Data Migration Service (DMS)**](https://www.enterprisedb.com/docs/edb-postgres-ai/migration-etl/data-migration-service/) **and Data Sync** enable a secure and fault-tolerant way to migrate Oracle and Postgres data from on-premises and cloud environments into EDB Postgres AI. This enables organizations with strict security compliance and data privacy needs to utilize EDB’s migration capabilities in their own environments. **EDB's Oracle Estate Migration Assessments** also make it easier to get a quick understanding of the complexity and level of effort required to migrate their Oracle databases to Postgres. + +Learn more about [Oracle compatibility](https://www.enterprisedb.com/products/edb-postgres-advanced-server) enhancements and how EDB Postgres AI unlocks rapid innovation and growth for enterprises undergoing modernization of their legacy data infrastructure. + +## Generally Available Today – Enhanced AI and Transactional Workloads + +### **AI Accelerator**  + +_The fastest way to test and launch enterprise generative AI (GenAI) applications_ + +Postgres users can already use the open source pgvector extension for foundational vector data support. This is powerful on its own but still requires developers to do a lot of manual work to create data pipelines, select embedding models, and keep embeddings up to date to avoid data staleness.  + +The [**AI Accelerator**](https://www.enterprisedb.com/products/ai-accelerator) provides the fastest way to test and launch multi-modal enterprise GenAI applications with the powerful EDB Pipelines extension, which is preloaded with pgvector and advanced AI workflow functionality like managed pipelines and automatic embedding generation. This enables customers to get GenAI apps to market faster with out-of-the-box vector data capabilities, less custom code, lower maintenance, and fewer application integration efforts. Now, developers can build complex GenAI functionality using SQL commands in the familiar Postgres environment—with just 5 lines of code instead of 130+. + +You can also transform your Postgres database into a powerful GenAI semantic search engine that’s [4.22x faster](https://www.confident-ai.com/blog/why-we-replaced-pinecone-with-pgvector) than other purpose-built vector databases. Want to see this in real time? Check out this demo of a GenAI application that provides quick, accurate recommendations based on text or image searches. The AI Accelerator is generally available today – [get started here](https://enterprisedb.com/docs/purl/aidb/gettingstarted). + +
+ + +### **EDB Postgres 17** + +_Use PostgreSQL to meet the demands of modern workloads_ + +The recent [PostgreSQL 17 release](https://www.enterprisedb.com/news/edb-contributions-postgresqlr-17-help-enterprises-unlock-greater-performance-complex-workloads) equipped users with backup and recovery, JSON enhancements, and performance improvements to support modern database operations. EDB was a key contributor to these Postgres enhancements and we’re excited to make these community features generally available on EDB Postgres AI transactional database, tools, and extensions. [EDB Postgres Advanced Server](https://www.enterprisedb.com/products/edb-postgres-advanced-server) (EPAS), [EDB Postgres Extended](https://www.enterprisedb.com/products/edb-postgres-extended) (PGE) Server.  + +These releases are generally available and ready for download. Visit EDB docs for detailed [EPAS](https://www.enterprisedb.com/docs/epas/latest/) and [PGE](https://www.enterprisedb.com/docs/pge/latest/) Release Notes or [check out this blog](https://www.enterprisedb.com/blog/edb-postgresr-17-transactional-database-highlights) for a recap of what’s new in EDB Postgres 17.  + +### **EDB Software Bill of Materials** + +_Build with open source confidently and ensure security and Postgres compliance readiness_  + +Enterprises today must ensure that customer data is protected and access to databases is controlled. While open source software (OSS) deployments can provide cost benefits, allow flexibility, and enable rapid innovation, they also introduce a challenge in identifying and mitigating potential security vulnerabilities. Today, the **EDB Software Bill of Materials (SBOM)** is available for **EDB Postgres Advanced Server** and **EDB Postgres Distributed** software packages through the [**EDB Trust Center**](https://trust.enterprisedb.com/?itemName=continuous_monitoring&source=click). It offers visibility into your open source supply chain with a detailed inventory of components and dependencies that comprise the, including up-to-date license reporting. + +By enabling you to easily identify potential security vulnerabilities, you can ensure [secure open source software](https://www.enterprisedb.com/use-case/secure-oss) and mitigate risk and reduce your attack surface as you invest in open source. [Learn more about securing your open source software](https://www.enterprisedb.com/blog/edb-announces-secure-open-software-solution-edb-postgres-air-enterprise-and-government). + +### **That’s a wrap!**  + +To learn more about EDB Postgres AI Software Deployment, read more and register for the preview experience [here](https://www.enterprisedb.com/preview). You can also zoom in even further on AI and Analytics launches with our [dedicated post](https://www.enterprisedb.com/blog/solving-enterprise-generative-ai-and-analytics-challenges-zooming-our-q4-2024-release) about them. + diff --git a/advocacy_docs/edb-postgres-ai/overview/latest-release-news/index.mdx b/advocacy_docs/edb-postgres-ai/overview/latest-release-news/index.mdx index f18a86349bc..c8960cd24d0 100644 --- a/advocacy_docs/edb-postgres-ai/overview/latest-release-news/index.mdx +++ b/advocacy_docs/edb-postgres-ai/overview/latest-release-news/index.mdx @@ -4,89 +4,105 @@ navTitle: Release News indexCards: simple iconName: Earth navigation: +- 2024q4release - 2024q3release - 2024q2release --- -** August 28, 2024 ** +Date: **December 10, 2024** -This [release roundup](https://www.enterprisedb.com/blog/release-radar-edb-postgresr-ai-q3-release-highlights) originally appeared on the EDB blog. +This [release roundup](https://www.enterprisedb.com/blog/solving-enterprise-generative-ai-and-analytics-challenges-zooming-our-q4-2024-release) originally appeared on the EDB blog. -There’s a lot of energy at EDB following the [Q2 announcement of EDB Postgres AI](2024q2release), an intelligent platform for unified management of transactional, analytical, and AI workloads, last quarter. The features we’re unveiling today build on last quarter’s EDB Postgres AI announcement by further enhancing the value delivered across our platform to support next gen applications, while further strengthening our core transactional database capabilities. +## Introducing the EDB Postgres AI Software Deployment: cloud agility, on your terms -Let’s take a closer look at these features. +### **Enable cloud agility and AI sovereignty for critical data infrastructure –  anywhere, any environment.** -## Trusted Postgres Architect release improves HA cluster deployment verification and PEM & EFM integration +Earlier today, we [announced](https://www.enterprisedb.com/news/edb-brings-cloud-agility-and-observability-hybrid-environments-sovereign-control) major updates to the [EDB Postgres AI](https://www.enterprisedb.com/products/edb-postgres-ai) sovereign data and AI platform. In the wake of data and AI becoming increasingly important to business innovation, our customers have asked us for more flexible solutions that offer both agility and control.  -With Trusted Postgres Architect (TPA), we continuously seek to create useful default configurations for our users to minimize the manual work required to tweak the cluster after deployment. We’ve done that and more with our latest features. +In response, we’ve launched a number of new generally available and preview capabilities to help accelerate deployment of EDB Postgres AI in [sovereign](https://www.enterprisedb.com/use-case/sovereign-ai), hybrid environments as an [omni-data platform](https://www.enterprisedb.com/use-case/omni-data-platform) that works across your enterprise’s data corpus to drive faster time to market for data-driven applications. With the new [EDB Postgres AI Software Deployment](https://www.enterprisedb.com/products/software-deployment), you can deploy, manage, scale, and observe mission critical data infrastructure in any self-managed, hybrid, or public cloud environment. -TPA Version 23.24 introduces clearer and more concise CLI output, helping operators verify that deployment was successful. Today’s release includes a new module that processes the raw Ansible output into a more concise form before streaming it to the operator, making it easier to spot important information. +The single container-driven software installation enables the consolidation of structured and unstructured data in a single multi-model data platform to accelerate transactional, analytical, and AI workloads. The Software Deployment unlocks a number of new capabilities: -For clusters that include EDB [Postgres Enterprise Manager](https://www.enterprisedb.com/products/postgres-enterprise-manager) (PEM), operators can now specify additional options to pass to the “register-agent” command, as well as provide their own SSL certificates to be used by the PEM web server. This enhancement improves upon earlier processes requiring the use of custom hooks or manual configuration. For [Enterprise Failover Manager](https://www.enterprisedb.com/docs/efm/latest/) (EFM) clusters, TPA now supports the new configuration parameters introduced with [EFM 4.9](https://www.enterprisedb.com/docs/efm/latest/efm_rel_notes/01_efm_49_rel_notes/). In addition, the configuration files created by TPA now include all the formatting and comments provided in the default EFM configuration files, making it easier for any operator wanting to manually inspect these files. TPA now allows users to specify whether TPA uses host names or IP addresses in EFM configuration, where previously only IP addresses were supported. +1. **Hybrid Control Plane**, enabling a hybrid database-as-a-service (DBaaS) with Kubernetes-driven automation and advanced observability across 200+ metrics to enable a cloud-like experience – even in your private data center. +2. **Analytics Accelerator**, which unlocks rapid analytics across unified business data in Postgres, powering 30x faster query performance and improving cost efficiency. +3. **AI Accelerator**, the fastest way to test and launch enterprise generative AI (GenAI) applications like chatbots and recommendation engines, so you can build cutting-edge GenAI functionality with just 5 lines of familiar SQL code (rather than 130+ using standard approaches). -Find out more about [Trusted Postgres Architect](https://www.enterprisedb.com/docs/tpa/latest/). If you’re new to TPA, try out this [TPA tutorial to spin up your first cluster](https://www.enterprisedb.com/docs/tpa/latest/firstclusterdeployment/). +To continue supporting our customers’ requirements as they evolve with their growing transactional workloads, we’ve also released enhancements to our **transactional database server software** and tooling, including **EDB Postgres 17** to meet the demands of modern workloads and the **EDB Software Bill of Materials**, offering visibility into your secure open source supply chain.  -## Postgres Enterprise Manager advances database and server monitoring +Today, these **transactional database enhancements** are **generally available**, along with the **AI Accelerator**. The **Hybrid Control Plane** and **Analytics Accelerator** are **now available for preview** through a [concierge demo experience](https://www.enterprisedb.com/engage). -Postgres Enterprise Manager provides tools to keep databases running smoothly, continuously monitoring database and server health with real-time graphical dashboards and automatic alerts. When issues are detected, PEM makes it easier to pinpoint and fix performance bottlenecks with integrated query profiling, performance, and log analysis tools. Highlights of Postgres Enterprise Manager Version 9.7.0 include the following: +## What’s in Preview? Unlock Cloud Scale And Rapid Analytics In Hybrid Environments  -- **EDB Postgres Distributed information in the “Core Usage” report:** This release enhances the PEM core usage report by adding information about EDB Postgres Distributed (PGD), giving customers a more complete view of their EDB license usage. As a result, the core usage report shows how many cores are running each version of Postgres across all PEM-monitored servers, including PGD.  -- **Copy notification settings:** This release extends the copy feature used by PEM to synchronize settings across multiple servers to now include notification settings, making it more powerful and reducing the need for additional manual steps or coding using the REST API.  -- **Dynamic probe scheduling to avoid showing outdated information:** PEM Agents collect data from monitored servers periodically, so changes can take a short time to reflect in the data. To mitigate this, PEM will now force some key agent tasks (known as probes) to run immediately after a server is added or changed in PEM, reducing the lag between adding or modifying a Postgres instance and the information being reflected in PEM monitoring data.  +### **Hybrid Control Plane** -To get the latest PEM and enjoy all these benefits, [update your PEM today](https://www.enterprisedb.com/docs/pem/latest/upgrading/upgrading_pem_installation/). +_Automation, single pane of glass management, and observability across hybrid data estates._ -## EDB Database Server Updates for PostgreSQL Community +Modern enterprises manage data across multiple clouds and on-premises deployments. The undifferentiated heavy lifting of database administration often distracts operators and engineers from more value-oriented work, like improving app scalability and accelerating time to market for data initiatives. While public cloud Database-as-a-Service (DBaaS) offerings provide automation of administrative tasks, they require tradeoffs on control, data sovereignty and deployment flexibility.  -As part of EDB’s support for the open source community’s quarterly release schedule, we completed new software releases in the EDB repositories of PostgreSQL, EDB Postgres Extended (PGE) Server, and EDB Postgres Advanced Server (EPAS), including the following:  +The **Hybrid Control Plane** is a **centralized management and automation solution** for the EDB Postgres AI Software Deployment, providing cloud automation and agility in a self-hosted environment. It boosts productivity up to 30% by automating time-consuming and expensive administrative functions like backups, provisioning, and point-in-time recovery – enabling a [hybrid (DBaaS) experience](https://www.enterprisedb.com/use-case/hybrid-dbaas). Monitor, observe, and respond to issues in real-time with visibility into 200+ metrics, keeping databases secure and enabling up to 99.999% availability. Plus, with built-in query diagnostics, you can identify problems and bottlenecks up to 5x faster and accelerate application performance up to 8x.  -| Database Distributions | Versions Released | -| ---------------------- | ----------------- | -| PostgreSQL | 16.4, 15.8, 14.13, 13.16 and 12.20 | -| EDB Postgres Extended Server | 16.4.1, 15.8.1, 14.13.1, 13.16 and 12.20 | -| EDB Postgres Advanced Server | 16.4.1, 15.8.1, 14.13.1, 13.16.22 and 12.20.25 | +See a demo of the Hybrid Control Plane in action! -The PostgreSQL minor releases were made available by the PostgreSQL Global Development Group on August 8th, addressing a security vulnerability. EDB repositories were simultaneously updated with new, minor releases of PostgreSQL, PGE, and EPAS, incorporating upstream fixes and additional feature enhancements. Complete [PGE release notes](https://www.enterprisedb.com/docs/pge/latest/release_notes/) and [EPAS release notes](https://www.enterprisedb.com/docs/epas/latest/epas_rel_notes/) are available. For details on the security fix and other improvements in PostgreSQL, please see [the Postgres release announcement](https://www.postgresql.org/about/news/postgresql-164-158-1413-1316-1220-and-17-beta-3-released-2910/). +
-## Seamlessly Convert Postgres Databases into a RESTful API with PostgREST Extension Support +### **Analytics Accelerator** -The popular open source tool [PostgREST](https://docs.postgrest.org/en/latest/) has been added to EDB’s supported [open source software list](https://www.enterprisedb.com/sites/default/files/pdf/edb_supported_open_source_software_20240515.pdf). This update unlocks more efficient and scalable Web services by enabling customers to seamlessly convert their Postgres database into a RESTful API. +_Unify transactional and analytical workloads in Postgres with lower cost, faster performance, and simpler operations._  -With EDB-supported software, customers can deploy with confidence knowing that these solutions are not only packaged by EDB but also come with the assurance of thorough EDB review and dedicated support for any issues encountered. +Scaling analytics workloads is crucial for modern enterprises that deal with high volumes of data and demand for rapid insights. Running these analytics queries directly on transactional data requires teams to spend significant time on data management and can degrade operational performance and slow down time-to-insights. -## New Migration Toolkit command line options ease migration criteria specification +EDB’s [**Analytics Accelerator**](https://www.enterprisedb.com/products/analytics-accelerator) leverages lakehouse ecosystem integration and a Vectorized Query Engine so you can use SQL to query columnar data in external object storage. This allows you to run complex analytical queries across core business data with no lag on existing transactional workloads — 30x faster than standard Postgres. -Operators have long relied on the [EDB Migration Toolkit](https://www.enterprisedb.com/products/migration-toolkit-move-oracle-postgresql) command-line tool to help migrate tables and data from legacy DBMS to PostgreSQL or [EDB Postgres Advanced Server](https://www.enterprisedb.com/products/edb-postgres-advanced-server). By adding the ability to enable command line options to be specified via a file for configuration, EDB Migration Toolkit reduces administration risks and increases the predictability of Oracle-to-Postgres migrations. +It also supports Tiered Tables functionality, ensuring optimal performance by automatically offloading cold data to columnar tables in object storage, reducing overall storage costs with 18x more cost efficiency and simplifying the process of managing analytics over multiple data tiers.  -The new version of the Migration Toolkit is available for download from the EDB repositories or the [EDB software downloads page](https://www.enterprisedb.com/software-downloads-postgres#migration-toolkit). +Watch a demo to see how to add an analytics node, sync data, and integrate with Databricks, improving insights without sacrificing performance. -For more information about the new command line options and other enhancements and fixes in this release, see the [Migration Toolkit documentation](https://www.enterprisedb.com/docs/migration_toolkit/latest/). +
-## EDB Query Advisor updates provide actionable index recommendations  -EDB customers can leverage [EDB Query Advisor](https://www.enterprisedb.com/docs/pg_extensions/query_advisor/) with PostgreSQL, PGE, and EPAS to get index recommendations based on the running database workload. This soon-to-be-released version builds on that capability by analyzing the gap between estimated and actual rows in query plans. With this insight, EDB Query Advisor provides actionable recommendations for extended table statistics, resulting in more accurate query plans, improved performance, and enhanced overall database efficiency. +### **EDB Data Migration Service (DMS) and Data Sync** -## EDB Postgres for Kubernetes 1.24 released +_Accelerate seamless migrations to break free from legacy constraints and innovate faster._ -[EDB Postgres for Kubernetes](https://www.enterprisedb.com/docs/postgres_for_kubernetes/latest/) adds speed, efficiency, and protection for your k8s infrastructure modernization, with an enterprise-grade operator for Postgres. EDB Postgres for Kubernetes brings automation, security, and reliability to cloud-native data infrastructures. +Today, organizations want to break free from legacy systems to tackle next-gen application development, which requires diverse data models and open standards that integrate with modern data stacks. -Our new EDB Postgres for Kubernetes upstream release is merged with CloudNativePG 1.24.0.  +[Modernizing](https://www.enterprisedb.com/use-case/modernize-legacy-applications) from legacy systems to EDB Postgres AI unlocks rapid innovation and growth for enterprises enabling seamless migrations to enterprise-grade PostgreSQL. The [**EDB Data Migration Service (DMS)**](https://www.enterprisedb.com/docs/edb-postgres-ai/migration-etl/data-migration-service/) **and Data Sync** enable a secure and fault-tolerant way to migrate Oracle and Postgres data from on-premises and cloud environments into EDB Postgres AI. This enables organizations with strict security compliance and data privacy needs to utilize EDB’s migration capabilities in their own environments. **EDB's Oracle Estate Migration Assessments** also make it easier to get a quick understanding of the complexity and level of effort required to migrate their Oracle databases to Postgres. -For more CloudNativePG information, check out the [1.24 Release Notes](https://cloudnative-pg.io/documentation/1.24/release_notes/v1.24/). +Learn more about [Oracle compatibility](https://www.enterprisedb.com/products/edb-postgres-advanced-server) enhancements and how EDB Postgres AI unlocks rapid innovation and growth for enterprises undergoing modernization of their legacy data infrastructure. -## Barman 3.11 release leverages PostgreSQL 17 incremental backup and more +## Generally Available Today – Enhanced AI and Transactional Workloads -[Barman](https://pgbarman.org/) provides robust backup and recovery solutions for PostgreSQL. We recently detailed how the combination of Barman 3.11 and PostgreSQL 17 combine to deliver seamless, enterprise-grade backup strategies in this EDB blog: [_Why PostgreSQL 17's Incremental Backup Feature is a Game-Changer_](https://www.enterprisedb.com/blog/why-postgresql-17s-incremental-backup-feature-game-changer). +### **AI Accelerator**  -Learn more about enhanced Barman 3.11 features focused on saving resources and adding configuration options in the [Release Notes](https://github.com/EnterpriseDB/barman/blob/release/3.11.1/NEWS). +_The fastest way to test and launch enterprise generative AI (GenAI) applications_ -Take a closer look at [Barman on EDB Docs](https://www.enterprisedb.com/docs/supported-open-source/barman/). +Postgres users can already use the open source pgvector extension for foundational vector data support. This is powerful on its own but still requires developers to do a lot of manual work to create data pipelines, select embedding models, and keep embeddings up to date to avoid data staleness.  -## There’s more to come from EDB in Q3  +The [**AI Accelerator**](https://www.enterprisedb.com/products/ai-accelerator) provides the fastest way to test and launch multi-modal enterprise GenAI applications with the powerful EDB Pipelines extension, which is preloaded with pgvector and advanced AI workflow functionality like managed pipelines and automatic embedding generation. This enables customers to get GenAI apps to market faster with out-of-the-box vector data capabilities, less custom code, lower maintenance, and fewer application integration efforts. Now, developers can build complex GenAI functionality using SQL commands in the familiar Postgres environment—with just 5 lines of code instead of 130+. -We’re not done sharing news about our EDB Postgres AI enhancements. As a leading PostgreSQL community contributor, we already have [expert-level analysis](https://iw-resources.informationweek.com/free/w_defa6615/) into our favorite features in the upcoming PostgreSQL17 release. We’ll share news on how EDB database platforms build on this important community update as the September 15th release date arrives. Plus, stay tuned for new EDB announcements focused on our fully managed EDB Postgres AI Cloud Service and EDB Postgres Distributed database solutions.  +You can also transform your Postgres database into a powerful GenAI semantic search engine that’s [4.22x faster](https://www.confident-ai.com/blog/why-we-replaced-pinecone-with-pgvector) than other purpose-built vector databases. Want to see this in real time? Check out this demo of a GenAI application that provides quick, accurate recommendations based on text or image searches. The AI Accelerator is generally available today – [get started here](https://enterprisedb.com/docs/purl/aidb/gettingstarted). -For more information about our Q3 releases, [contact us today](https://www.enterprisedb.com/contact). +
+### **EDB Postgres 17** + +_Use PostgreSQL to meet the demands of modern workloads_ + +The recent [PostgreSQL 17 release](https://www.enterprisedb.com/news/edb-contributions-postgresqlr-17-help-enterprises-unlock-greater-performance-complex-workloads) equipped users with backup and recovery, JSON enhancements, and performance improvements to support modern database operations. EDB was a key contributor to these Postgres enhancements and we’re excited to make these community features generally available on EDB Postgres AI transactional database, tools, and extensions. [EDB Postgres Advanced Server](https://www.enterprisedb.com/products/edb-postgres-advanced-server) (EPAS), [EDB Postgres Extended](https://www.enterprisedb.com/products/edb-postgres-extended) (PGE) Server.  + +These releases are generally available and ready for download. Visit EDB docs for detailed [EPAS](https://www.enterprisedb.com/docs/epas/latest/) and [PGE](https://www.enterprisedb.com/docs/pge/latest/) Release Notes or [check out this blog](https://www.enterprisedb.com/blog/edb-postgresr-17-transactional-database-highlights) for a recap of what’s new in EDB Postgres 17.  + +### **EDB Software Bill of Materials** + +_Build with open source confidently and ensure security and Postgres compliance readiness_  + +Enterprises today must ensure that customer data is protected and access to databases is controlled. While open source software (OSS) deployments can provide cost benefits, allow flexibility, and enable rapid innovation, they also introduce a challenge in identifying and mitigating potential security vulnerabilities. Today, the **EDB Software Bill of Materials (SBOM)** is available for **EDB Postgres Advanced Server** and **EDB Postgres Distributed** software packages through the [**EDB Trust Center**](https://trust.enterprisedb.com/?itemName=continuous_monitoring&source=click). It offers visibility into your open source supply chain with a detailed inventory of components and dependencies that comprise the, including up-to-date license reporting. + +By enabling you to easily identify potential security vulnerabilities, you can ensure [secure open source software](https://www.enterprisedb.com/use-case/secure-oss) and mitigate risk and reduce your attack surface as you invest in open source. [Learn more about securing your open source software](https://www.enterprisedb.com/blog/edb-announces-secure-open-software-solution-edb-postgres-air-enterprise-and-government). + +### **That’s a wrap!**  + +To learn more about EDB Postgres AI Software Deployment, read more and register for the preview experience [here](https://www.enterprisedb.com/preview). You can also zoom in even further on AI and Analytics launches with our [dedicated post](https://www.enterprisedb.com/blog/solving-enterprise-generative-ai-and-analytics-challenges-zooming-our-q4-2024-release) about them. + diff --git a/src/pages/index.js b/src/pages/index.js index 6daa9f16143..709d5691ba8 100644 --- a/src/pages/index.js +++ b/src/pages/index.js @@ -233,7 +233,7 @@ const Page = () => { to="/edb-postgres-ai/overview/latest-release-news" iconName={iconNames.SMALL_DASHBOARD} > - Release News - 24Q3 + Release News - 24Q4