Postgres Professional

Hybrid & Multi-Cloud Ready: Proxima for Modern Architectures Modern applications often require flexibility to operate across on-premises servers, private clouds, and public cloud platforms—all at once. With Proxima from Postgres Pro, you can build hybrid and multi-cloud PostgreSQL clusters, connecting diverse environments with a unified proxy and connection pooling layer. Proxima is engineered to support enterprise-level data mobility and resilience, giving your teams confidence to meet changing infrastructure needs. 💡 Key benefits: ✔️ Supports distributed workloads and disaster recovery Run your database layer across several sites, shifting workloads as needed and ensuring high availability. ✔️ Works with any combination of on-premises and cloud Postgres Pro Manage all deployments through the same connection architecture, making migrations and hybrid operations straightforward. ✔️ Delivers seamless failover and replication Maintain business continuity and data access, no matter where your nodes are physically located. ✔️ Simplifies application deployment and scaling Developers interact with a single entry point, so expanding or rebalancing databases doesn’t disrupt applications. By unifying database traffic management, Proxima helps you build a future-proof data strategy whether you’re introducing cloud for the first time or managing global, distributed workloads. 📩 Want to see how Proxima supports hybrid and multi-cloud architectures? Get in touch: 🌐 [email protected] | 🇮🇳 [email protected] #MultiCloud #HybridCloud #PostgresPro #EnterpriseDB

🎯 How do you back up a PostgreSQL database so it’s easy to move between versions and operating systems and reliably restore it when you really need it? In this video, we walk through how to spin up PostgreSQL on Linux, create a sample backup database with test tables, and generate a logical backup as a plain SQL file. You’ll see what’s inside backup.sql, how it captures both structure and data, and why this format is ideal for version control, code review, and CI/CD pipelines. 💬 What’s your PostgreSQL backup strategy today? Do you rely more on logical or physical backups and why? Share your approach and real-world stories in the comments below 👇 #PostgreSQL #DatabaseBackup #LogicalBackup #pg_probackup #DevOps #DataEngineering #PostgresPro

Big news ✨ We’re excited to share that Postgres Professional is a Gold Sponsor of PGConf India 2026! 🇮🇳 Our team is proud to support this vibrant #Postgres community and looks forward to all the insights, talks, and new developments in the #PostgreSQL ecosystem. #PGConfIndia #PGConf #PostgresProfessional #OpenSourceIndia

💡 Your DBA Has Too Much Power? We Fix That Traditionally, DBAs serve as keys to the kingdom — with broad access to sensitive data and vital systems. As organizations grow, modern security standards and compliance call for more granular control and accountability. Postgres Pro supports enhanced privilege management to meet these demands: 🔸 The option to restrict superuser (postgres) login — minimizing unnecessary exposure. 🔸 The ability to separate responsibilities between DBMS and infrastructure admins, so no single user has wide-reaching control. 🔸 Temporary superuser elevation can be limited to specific situations and rolled back — with actions logged for audits. The Benefits: 🔹 Minimize the risk of operational errors and potential misconfigurations 🔹 Reduce the likelihood of insider threats and enable true separation of duties 🔹 Help achieve compliance and audit goals with detailed access tracking ✔️ Enable security models aligned with Zero Trust frameworks With Postgres Pro, you get robust security controls that protect your data — without hampering productivity or requiring external plugins. Ready to modernize your data governance? 📩 Let’s talk: 🌐 Worldwide: [email protected] | 🇮🇳 India: [email protected]

💡 New Weekly Series: Real Cases & Useful #PostgreSQL Features ➡️ Episode #9 🧩 Partitioning is a powerful PostgreSQL tool for managing very large tables by splitting them into smaller chunks — partitions. The main performance gain comes when queries include conditions on the partitioning key, allowing the DBMS to scan only the relevant partitions (partition pruning). This can dramatically speed up queries. Partitioning also simplifies some maintenance tasks, such as quickly removing old data by dropping an entire partition. However, when it comes to indexes on partitioned tables, PostgreSQL’s standard solutions have had some limitations. Until recently, unless you were querying on the partitioning key itself, developers had to rely almost entirely on local indexes. Local indexes are created separately for each partition. Their upsides are simplicity and efficiency for operations within a single partition. But what if you need to enforce uniqueness of a column across the entire partitioned table, not just inside one partition? Or if you need to query data spanning multiple partitions? That’s where local indexes fall short. #database #sectioning #postgrespro #postgresql #gbtree #globalindexes

🚀 Discovering pg_probackup’s hidden powers Everyone knows pg_probackup as a solid backup tool for PostgreSQL — but it’s got way more tricks up its sleeve than you might expect. Beyond standard backups, it brings: 🔹 Smart compression — not just pglz or zlib, but also zstd and lz4 (Enterprise edition) for crazy-fast, space-saving backups. 🔹 Next-gen architecture (v3.x) — a sleek new format with single-file backups, a built-in SDK (LibProbackup3), and native support for S3, tapes, and multi-threading. 🔹 In short, pg_probackup is evolving from “just a backup tool” into a powerful ecosystem for large-scale PostgreSQL environments. 💬 What do you think? Have you tried any of these extra features yet? Share your experience - what worked, what didn’t, and how pg_probackup fits into your backup strategy.

💡 New Weekly Series: Real Cases & Useful #PostgreSQL Features ➡️ Episode #8 Sometimes your work chat won’t stop flooding with alerts, tests have been red for a month, and no one really knows who’s responsible for what — or what even matters. Mikkel Dengsø and Petr Janda, together with data teams from hundreds of startups and Fortune 500 companies, put together a Guide to Building High-Quality Data Products (the link to the guide is in the first comment). It’s for those who are tired of the chaos and want to bring order to testing, quality management, and incident response. Here are the key insights and real-world cases we have gathered in this article. #data #dataproduct #dataengineering #sla #bigdata #dbt #lineage

🔒 PPEM: Security and Access Control for Enterprises Database security is a priority, not just a feature. PPEM helps you implement role-based user control, with full visibility on who has access and what they can change—streamlining compliance and internal checks. Key benefits: ✔️ Central management of user permissions and admin roles—assign and review privileges from one dashboard ✔️ Easier adherence to audit and regulatory standards—built-in logging supports regulations in banking, government, and healthcare ✔️ Fits real-world needs for separation of duties—apply least-privilege and strong user management at scale Looking to strengthen access policies? 📩 Book a technical session and see how to audit privilege changes, manage user roles, and enforce least-privilege models via PPEM’s GUI today. 🌐 Worldwide: [email protected] | 🇮🇳 India:[email protected] #PPEM #Security #AccessControl #PostgresPro

🛡️From DBAs to DevOps: who benefits most from pg_probackup pg_probackup isn’t just another backup utility — it’s a professional-grade solution designed for teams that rely on PostgreSQL in demanding production environments. Whether you’re managing a small business application or a multi-terabyte data warehouse, pg_probackup helps you keep your data safe and operations stable. 🧩 Who will find pg_probackup most useful: ▪️ DBAs and DevOps engineers — who need reliable, fast, and scriptable backup strategies. ▪️ System administrators — looking for easy recovery and retention control without downtime. ▪️ Enterprise users — who require incremental backups, PITR, and compression to optimize storage. ▪️ Developers and testers — who work with multiple environments and need quick cloning and restore options. 🚀 Typical use cases: ▪️ Daily or hourly backups for mission-critical PostgreSQL clusters. ▪️ Disaster recovery setup with standby or remote backups. ▪️ Storage-efficient incremental and delta backups for large databases. ▪️ Continuous backup rotation using retention and merge policies. ▪️ Safe backup validation before deployment or upgrades. pg_probackup is already trusted in production by many Postgres Pro users — it’s open-source, flexible, and built by PostgreSQL professionals. 💬 Are you using pg_probackup in your environment? Share your use case and experience in our community chat, your stories inspire others and help improve the tool. The link to the chat is in the first comment 👇 Feel free to contact us for more product details: 🌐 Worldwide: [email protected] | 🇮🇳 India: [email protected]

💡 New Weekly Series: Real Cases & Useful #PostgreSQL Features ➡️ Episode #7 Building an LLM-based SQL generator sounds simple and valuable - it could be a standalone product or part of a larger agent-based system. With modern models, generating code seems easy enough. But is it really that straightforward? What if we just connect a powerful model’s API, provide database access, ask a question, and instantly replace a human analyst? Of course not. Analysts do much more than just write and run SQL queries. Even the SQL generation part is deceptively complex: 🔹 No company wants to pipe sensitive data into an external API (OpenAI, Anthropic, etc.). 🔹 If external APIs are out, self-hosting a model is costly and requires serious infrastructure - especially without a GPU. 🔹 Open-source LLMs often struggle with complex or ill-defined prompts and with niche SQL dialects like PostgreSQL 17. 🔹 Collecting data and training LLMs for specific dialects is expensive: time, money, and compute. 🔹 Building grammars for guided decoding is possible on local models, but development & debugging are non-trivial. These are real challenges. In this episode, let’s explore practical ways to solve them. #sql_generator #generating_sql #grpo #gspo #rl #reinforcement_learning #sqlfuse #chasesql #skyrlsql #reasoning_sql