real-time analytics Archives

Tech Optimizer

February 14, 2026

Snowflake makes enterprise data AI-ready with native Postgres in its AI Data Cloud

Snowflake has introduced advancements to make data ready for artificial intelligence (AI) by integrating enhanced interoperability, governance, and resilience features into its platform. The latest version of Snowflake Postgres operates natively within the AI Data Cloud, allowing businesses to unify transactional, analytical, and AI functions on a single platform. This integration helps dismantle data silos and fragile pipelines, facilitating real-time analytics and AI capabilities without complex data pipelines. Snowflake Postgres is fully compatible with open-source Postgres, enabling companies to migrate existing applications without code modifications. It allows enterprises to directly query and manage Apache Iceberg tables using standard SQL, minimizing data movement and simplifying architectures. Snowflake also enhances data governance and collaboration across various formats, ensuring AI systems can scale effectively. Additionally, Snowflake's data protection measures, including backups, bolster resilience against disruptions.

Tech Optimizer

February 14, 2026

PostgreSQL vs MySQL: Which Database is Better in 2026?

PostgreSQL 17 introduces significant enhancements, including refined memory management in VACUUM processes, improved SQL/JSON capabilities with features like JSON_TABLE(), advancements in logical replication and parallel processing, and overall increased efficiency for handling complex queries and large datasets. MySQL, under Oracle's stewardship, focuses on performance, reliability, and cloud integration, with updates unveiled at the HeatWave Summit in 2025 that support both transactional and analytical workloads in a unified system, enabling real-time analytics without data transfer to separate tools.

Tech Optimizer

February 12, 2026

Snowflake unveils Postgres to make enterprise data AI-ready

Snowflake has introduced Snowflake Postgres, which will be generally available soon, designed to unify transactional workloads, analytics, and AI development within its AI Data Cloud. It is fully compatible with open-source Postgres, allowing for seamless migration of existing applications without code modifications. Snowflake Postgres integrates Apache Iceberg through pg_lake, enabling users to manage Iceberg tables using standard SQL, reducing data movement between systems. Companies like BlueCloud and Sigma Computing have adopted it for operational applications and real-time analytics. Alongside Snowflake Postgres, Snowflake has enhanced data governance and interoperability through the Snowflake Horizon Catalog, which allows for better access and governance across various systems. The Horizon Catalog supports querying Iceberg tables and managing data stored in them. Snowflake has also launched Open Format Data Sharing, extending its zero-ETL sharing model to open formats like Apache Iceberg and Delta Lake, and has integrated with Microsoft OneLake for secure data sharing. Additionally, Snowflake has made Snowflake Backups generally available to safeguard business-critical data and ensure compliance with regulatory requirements, allowing for quicker recovery from disruptions.

Tech Optimizer

February 12, 2026

Databricks launches PostgreSQL Lakebase to aid AI developers

Databricks Lakebase has transitioned to general availability, launched on AWS on February 3, following the acquisition of Neon for billion in May 2025. Lakebase is a PostgreSQL database designed for AI development, integrating with Databricks' Data Intelligence Platform to provide an operational database alongside data lakehouse capabilities. It decouples compute from storage to improve resource management and includes autoscaling features to manage costs. Lakebase also offers unified governance through Databricks' Unity Catalog. Analysts highlight its ability to reduce friction between operational and analytical data, enabling real-time applications with up-to-date governed data and minimizing extensive ETL processes. Key features include serverless autoscaling and instant database branching for enhanced developer productivity. Databricks aims to simplify database management at scale and demonstrate a lower total cost of ownership to compete with Snowflake.

Tech Optimizer

January 28, 2026

EDB Demonstrates Strong Global Momentum and Cross-Industry Adoption of EDB Postgres® AI

MNTN, Waystar, and NTT East have adopted EDB Postgres AI (EDB PG AI) to modernize their data platforms, enabling agentic AI, real-time analytics, and mission-critical operations while maintaining control over data and infrastructure. EDB's Sovereignty Matters research indicates that enterprises focusing on scalable agentic AI prioritize sovereign control of data, hybrid deployment flexibility, and a unified platform for transactions, analytics, and AI workloads. MNTN modernized its data warehouse for high-volume advertising data, Waystar consolidated its data infrastructure for healthcare transaction processing, and NTT East enhanced AI-driven network operations while ensuring data locality control. The adoption of EDB PG AI reflects a growing market demand for open-source database foundations, with 35% of enterprises considering PostgreSQL for complex workloads. EDB PG AI provides an open-source foundation, accelerated AI development, hybrid deployment flexibility, and enterprise-grade reliability.

Tech Optimizer

January 27, 2026

PostgreSQL for WMS: a DBMS selection strategy in the era of import substitution

Choosing a Database Management System (DBMS) for Warehouse Management Systems (WMS) is a strategic decision that impacts security, budget, and adaptability. PostgreSQL is identified as a safe, cost-effective, and future-proof solution for Russian warehouse systems, especially following the withdrawal of foreign vendors like Oracle and Microsoft SQL Server. Starting September 1, 2025, foreign software usage in government bodies and companies with over 50% state ownership will face legal restrictions, posing regulatory risks for those using Oracle. Financial risks include high licensing fees and the potential for legal prohibitions on current technologies. Business continuity risks arise from the possibility of vendors ceasing support and updates. PostgreSQL, both in its vanilla form and commercial derivatives like Postgres Pro, is presented as a robust alternative capable of handling high loads and providing necessary features for modern WMS. It supports real-time analytics and advanced capabilities such as intelligent search and automatic classification using neural networks. Key considerations when choosing a DBMS include estimating data volumes, checking legal requirements, and calculating total cost of ownership (TCO).

Tech Optimizer

December 24, 2025

Antivirus vs Endpoint Security in 2025: Which Protection Do You Really Need?

In 2025, users must choose between traditional antivirus software and modern endpoint security solutions for their digital safety. Antivirus software has evolved to include machine learning and cloud-based threat analysis, effectively combating various malware types but primarily protects individual devices. It is user-friendly and suitable for casual users but struggles against sophisticated attacks and lacks centralized management. Endpoint security, on the other hand, secures all network-connected devices and employs advanced technologies like AI-driven threat detection and real-time behavioral analytics. It offers proactive monitoring and automated threat responses, making it essential for businesses and professionals handling sensitive information. Endpoint security provides centralized management and a broader range of protections but is typically more expensive and may require technical expertise to set up. The choice between the two solutions depends on individual needs: casual users may prefer antivirus software, while professionals and businesses benefit from the comprehensive protection of endpoint security. As cyber threats become more complex, endpoint security is becoming the standard due to its proactive and automated defense capabilities.

Tech Optimizer

December 20, 2025

Watch Out Elasticsearch! Tiger Data’s PostgreSQL BM25 Search Extension Goes Open Source

Tiger Data has released pg_textsearch as an open-source extension under The PostgreSQL License on GitHub, previously exclusive to Tiger Cloud. This extension allows developers to perform BM25 relevance-ranked keyword searches directly within PostgreSQL, eliminating the need for external search systems like Elasticsearch. Notable features of pg_textsearch include support for 29+ languages, compatibility with partitioned tables, intuitive SQL syntax, a memtable architecture for optimized indexing, and adjustable BM25 ranking parameters. Tiger Data aims to develop a comprehensive Postgres Search Stack that integrates keyword and vector search capabilities.

Tech Optimizer

December 18, 2025

Improve Aurora PostgreSQL throughput by up to 165% and price-performance ratio by up to 120% using Optimized Reads on AWS Graviton4-based R8gd instances

AWS has introduced Graviton4-based R8gd instances for Amazon Aurora, which offer significant performance enhancements over Graviton2-based db.r6g instances. Users can expect up to 165% higher throughput, a 120% improvement in price-performance ratio, and an 80% enhancement in application response time. The integration of an Optimized Reads-enabled tiered cache allows for expanded database caching capacity, minimizing network storage access and improving query response times. Organizations like Mindbody and Claroty have reported substantial performance improvements and cost savings after implementing these features. Aurora PostgreSQL 17 has introduced smarter storage batching algorithms and optimized writes, further enhancing performance for I/O-intensive applications. The db.r8gd instances allow for scaling up to 48xl, providing 192 vCPUs, 50 Gigabits of network bandwidth, and 10.4 TiB of local NVMe capacity. The benchmark testing using HammerDB demonstrated significant improvements in throughput, price-performance ratio, and response times when upgrading from db.r6g to db.r8gd instances. The Aurora Optimized Reads-enabled tiered cache is available for Aurora PostgreSQL versions 17.4 and higher, among others.

Tech Optimizer

December 16, 2025

EDB Postgres® AI for WarehousePG Extends the Sovereign Platform with Petabyte-Scale Analytics

EnterpriseDB (EDB) has made advancements in its offerings, particularly with EDB Postgres AI (EDB PG AI) for WarehousePG, focusing on petabyte-scale analytics and real-time streaming capabilities. A unified platform is gaining traction, with 42% of enterprises adopting such solutions and 35% standardizing on Postgres. Companies using AI in warehouse operations report ROI up to five times higher. EDB PG AI offers deploy-anywhere flexibility, predictable economic models, and potential cost savings of up to 62% compared to leading cloud data warehouses. It also allows for rapid migrations, including a zero-migration binary swap for Greenplum workloads. EDB is committed to open source, managing WarehousePG as an Apache 2.0-licensed project. Key features include a per-core pricing model, hybrid deployment capabilities, AI-ready architecture, unified analytics, and improved observability and governance. Customers like MNTN and Euronext FX have benefited from EDB's solutions, achieving stability and control over their data management. Kyobo Book Centre has transitioned to EDB PG AI to regain predictable costs and compliance control. The latest enhancements in EDB PG AI's Q4 release include no-code visibility tools for automated storage optimization and proactive security recommendations. EDB is also publishing a guide on building data and AI platforms with PostgreSQL.