Postgres

Tech Optimizer
May 14, 2025
Neon can spin up a Postgres instance in less than 500 milliseconds. Databricks has acquired Neon, rumored to be valued at over a billion, to enhance its AI capabilities. Neon focuses on developing a premier Postgres solution for cloud environments and aims to refine its offerings with Databricks' support. Neon’s serverless architecture allows for a fully isolated Postgres database deployment in under 500 milliseconds, separates compute and storage for cost efficiency, and maintains compatibility with the Postgres ecosystem. The integration of Neon’s architecture with Databricks' platform aims to improve AI agent systems, alleviate performance bottlenecks, streamline infrastructure, and reduce operational costs. The acquisition will result in the Neon team joining Databricks, pending regulatory approvals.
Tech Optimizer
May 14, 2025
Databricks has acquired Neon, a database firm known for its serverless, managed Postgres offering. Founded in 2021, Neon offers a serverless open-source alternative to AWS Aurora Postgres, featuring a decoupled architecture for independent scaling. Databricks reportedly invested a billion dollars in this acquisition, emphasizing the strategic value of integrating Neon's technology into its offerings.
Tech Optimizer
May 14, 2025
Databricks intends to acquire Neon, a company specializing in serverless Postgres solutions, with financial details undisclosed and pending customary closing conditions and regulatory approvals. Ali Ghodsi, CEO of Databricks, stated that the acquisition aims to enhance the Databricks Data Intelligence Platform, allowing developers to build AI-driven systems more efficiently. The Neon team will integrate into Databricks upon completion of the transaction. Neon, founded in 2021 and led by CEO Nikita Shamgunov, provides a serverless Postgres platform for developers. Databricks supports over 10,000 organizations globally, with over 60% of the Fortune 500 using its services.
Tech Optimizer
May 14, 2025
Databricks intends to acquire Neon, a leader in serverless Postgres technology, to enhance its database and developer experience. The database market is valued at over [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Databricks, a prominent player in the Data and AI landscape, has announced its intention to acquire Neon, a leading innovator in serverless Postgres technology. This strategic move comes as the database market, valued at over 0 billion, stands on the brink of significant transformation driven by advancements in AI. Databricks aims to enhance Neon's database and developer experience, catering to both existing and prospective customers and partners. Neon: An Open, Serverless Foundation for Developers and AI Agents In the evolving landscape of software development, AI agents are becoming indispensable. Neon is specifically designed to facilitate the workflows of these agents. Recent telemetry data indicates that more than 80 percent of databases provisioned on Neon are generated automatically by AI agents, highlighting the rapid growth of agent-driven workloads. These workloads present distinct characteristics that set them apart from traditional human-driven processes: Speed + flexibility: AI agents operate at machine speed, eliminating the bottlenecks often associated with traditional database provisioning. Neon's capability to launch a fully isolated Postgres instance in under 500 milliseconds, along with its support for instant branching and forking of database schemas and data, ensures that experiments can be conducted without disrupting production environments. Cost proportionality: The demand for a cost structure that scales with usage is paramount for agents. Neon's architecture separates compute and storage, allowing for a total cost of ownership that aligns with the actual queries executed across thousands of ephemeral databases. Open source ecosystem: AI agents thrive in an environment that leverages the extensive Postgres community. Neon is fully compatible with Postgres and integrates seamlessly with popular extensions. Ali Ghodsi, Co-Founder and CEO of Databricks, remarked on the significance of this acquisition: "The era of AI-native, agent-driven applications is reshaping what a database must do. Neon exemplifies this shift, with four out of five databases on their platform being created by code rather than human intervention. By integrating Neon into Databricks, we are providing developers with a serverless Postgres solution that meets the demands of agentic speed, flexible economics, and the openness of the Postgres community." Databricks and Neon's Shared Vision The collaboration between Databricks and Neon aims to dismantle the conventional constraints of databases that require simultaneous scaling of compute and storage, a limitation that can impede AI workloads. The fusion of Neon's serverless Postgres architecture with the Databricks Data Intelligence Platform is set to empower developers and enterprise teams to efficiently construct and deploy AI agent systems. This integration not only mitigates performance bottlenecks associated with numerous concurrent agents but also streamlines infrastructure, reduces costs, and fosters innovation—all while maintaining Databricks' core principles of security, governance, and scalability. Nikita Shamgunov, CEO of Neon, expressed optimism about the future: "Four years ago, we set out to build the best serverless Postgres for the cloud, highly scalable and open to all. With this acquisition, we aim to accelerate that mission, bolstered by the support and resources of an AI powerhouse. Databricks was founded by open-source pioneers dedicated to simplifying the interaction between developers and data at any scale. Together, we are embarking on a new chapter in our ambitious journey." Following the completion of the transaction, Neon's skilled team is expected to join Databricks, bringing valuable expertise and continuity to Neon's thriving community. This partnership will enable organizations to break down data silos, streamline architecture, and develop AI agents that are more responsive, reliable, and secure. Further insights will be shared at the upcoming Data + AI Summit, scheduled to take place in San Francisco from June 9 to 12. Details Regarding the Proposed AcquisitionThe acquisition is subject to customary closing conditions, including necessary regulatory approvals. About NeonFounded in 2021 by a team of seasoned database engineers and Postgres contributors, Neon aims to provide a serverless Postgres platform that accelerates the development of reliable and scalable applications, catering to projects ranging from personal endeavors to enterprise-level solutions. About DatabricksDatabricks is a leader in Data and AI, trusted by over 10,000 organizations globally—including notable names like Block, Comcast, Condé Nast, Rivian, and Shell, as well as over 60% of the Fortune 500. The Databricks Data Intelligence Platform empowers organizations to harness their data effectively and leverage AI capabilities. Headquartered in San Francisco, Databricks was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. For more information, follow Databricks on X, LinkedIn, and Facebook." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"] billion and is undergoing transformation due to AI advancements. More than 80% of databases on Neon are provisioned automatically by AI agents, which operate at machine speed and require a cost structure that scales with usage. Neon's architecture separates compute and storage, aligning costs with actual queries. The integration of Neon's serverless Postgres with Databricks aims to improve AI workloads by dismantling traditional database constraints. Following the acquisition, Neon’s team will join Databricks, enhancing their community and capabilities. The acquisition is subject to customary closing conditions and regulatory approvals. Neon was founded in 2021 to provide a scalable serverless Postgres platform. Databricks serves over 10,000 organizations globally, including many Fortune 500 companies.
Tech Optimizer
May 12, 2025
pgpro_pwr is a database workload monitoring tool for database administrators (DBAs) to identify resource-demanding operations. It was launched in 2017 as pg_profile by Andrey Zubkov, who moved from being a DBA to an engineer at Postgres Professional. pg_profile is compatible with open-source PostgreSQL and has been integrated into PostgreSQL 17 as of 2024, while pgpro_pwr offers advanced statistical insights and is included in Postgres Pro releases. Both tools monitor database workload metrics through continuously incrementing counters, capturing values at intervals and archiving differences. They do not provide alerting capabilities but are useful for assessing system stability, analyzing load testing outcomes, and identifying system-intensive activities. The tools consist of repository tables, data collection functions, reporting functions, and service tables. To use them, one must install the extension, configure roles, and set up parameters. Reports can be generated for workload statistics over time and comparisons between different time intervals. Examples of report types include wait event statistics and advanced vacuum statistics. Future plans include submitting a patch to introduce vacuum statistics to vanilla PostgreSQL.
Tech Optimizer
May 10, 2025
Databricks is in advanced talks to acquire Neon, a startup that provides a commercial version of the open-source PostgreSQL database, with the deal valued at over billion. Neon, based in San Francisco, has raised more than million from investors, including Microsoft's M12 fund. Neon’s PostgreSQL version features a serverless architecture, automatic hardware scaling, separate allocation of storage and computing power, and connection pooling to enhance performance. Neon also offers a security tool for user access management and the ability to restore databases to previous states. Databricks' interest in Neon is likely linked to AI applications, as Neon’s database supports vector storage and can launch new database instances in one second. Databricks has previously acquired several startups to enhance its AI capabilities, including Fennel AI, Lilac AI, and MosaicML Inc.
Tech Optimizer
May 6, 2025
Validation for Crunchy Postgres on Red Hat OpenShift Virtualization has been officially announced. Crunchy Data has expanded its collaboration with Red Hat to enhance support for Red Hat OpenShift Virtualization, enabling customers to deploy production-ready Postgres infrastructure. The validation allows Red Hat customers to implement Postgres for various applications within Red Hat OpenShift Virtualization-based virtual machines. Key features of Crunchy Postgres include automated deployment, comprehensive backups, disaster recovery capabilities, high availability, connection scaling, performance optimizations, and robust monitoring tools. This announcement continues the collaboration between Crunchy Data and Red Hat, which includes previous certifications and a shared commitment to open source software.
Tech Optimizer
May 5, 2025
pgpro_tune is a command-line utility designed to optimize the initial server configuration of Postgres Pro based on hardware specifications. It scans the server to identify key hardware details, processes these values through shell scripts that encapsulate tuning expertise, and generates recommended parameters for PostgreSQL settings, including memory management, autovacuum tuning, connection limits, and statistics collection. The utility appends these settings to the postgresql.conf file, ensuring they override the default settings. pgpro_tune supports various presets for different use cases and allows database administrators to create custom presets. It runs automatically during cluster initialization and can be executed manually at any time, applying changes through standard PostgreSQL methods. This tool aims to streamline the tuning process, reduce the risks of misconfiguration, and enhance performance without replacing the need for advanced tuning in specialized scenarios.
Tech Optimizer
May 3, 2025
On April 29, 2025, Jepsen released a report on transaction visibility behavior in Amazon RDS for PostgreSQL and its Multi-AZ clusters, which has been acknowledged since at least 2013. The report identifies a Long Fork anomaly affecting the visibility order of transactions between primary and replica nodes in cluster configurations, which does not lead to data loss or corruption and is absent in Single-AZ deployments. This anomaly allows two readers to see transactions in different sequences, breaching Snapshot Isolation. It affects all isolation levels in community PostgreSQL and can also occur in self-managed deployments. The issue has been discussed extensively in the PostgreSQL community, and potential solutions, including synchronizing visibility with commit order using Commit Sequence Numbers, have been proposed. AWS has established the PostgreSQL Contributors Team to address this anomaly and enhance PostgreSQL's capabilities.
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