#operational-databases

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Software development
fromInfoQ
1 day ago

TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents

TigerFS is an experimental filesystem that integrates PostgreSQL, allowing file operations through a standard filesystem interface.
DevOps
fromInfoQ
1 day ago

Replacing Database Sequences at Scale Without Breaking 100+ Services

Validating requirements can simplify complex problems, and embedding sequence generation reduces network calls, enhancing performance and reliability.
Information security
fromTNW | Insights
12 hours ago

KeeperDB brings zero-trust database access to privileged access management

Database credentials are a major attack vector, and KeeperDB integrates access controls into its PAM platform to enhance security.
fromMedium
3 days ago

Snowflake Supports Directory Imports

With this feature, you can bring entire folders, ML models, dbt adapters, utilities, directly into UDxFs and Stored Procedures without zipping, file-by-file bookkeeping, or manual updates.
Django
Business intelligence
fromTechzine Global
1 day ago

All shook up, IFS unlocks asset-based pricing for enterprise AI

IFS introduces an outcomes-based pricing model for enterprise AI, aligning software costs with operational assets instead of user counts.
Data science
fromTechzine Global
2 days ago

Datadog launches Experiments for A/B testing in observability

Datadog Experiments integrates A/B testing and product analytics into a single platform, addressing fragmentation in product development tools.
#oracle
Tech industry
fromTechzine Global
2 days ago

Oracle close to finalizing financing for Michigan data center

Oracle is finalizing $16 billion financing for a new Michigan data center to support AI applications, amid complex funding challenges.
Tech industry
fromTechRepublic
3 days ago

Oracle Slashes Thousands of Jobs While Doubling Down on AI Expansion

Oracle is cutting thousands of jobs to address investor concerns over its AI data center spending and overextension in the market.
Tech industry
fromTheregister
4 days ago

Oracle cuts jobs across sales, engineering, security

Oracle laid off thousands of employees to increase spending on AI infrastructure projects, with potential cuts reaching 30,000.
Tech industry
fromTechzine Global
2 days ago

Oracle close to finalizing financing for Michigan data center

Oracle is finalizing $16 billion financing for a new Michigan data center to support AI applications, amid complex funding challenges.
Tech industry
fromTechRepublic
3 days ago

Oracle Slashes Thousands of Jobs While Doubling Down on AI Expansion

Oracle is cutting thousands of jobs to address investor concerns over its AI data center spending and overextension in the market.
Tech industry
fromTheregister
4 days ago

Oracle cuts jobs across sales, engineering, security

Oracle laid off thousands of employees to increase spending on AI infrastructure projects, with potential cuts reaching 30,000.
Scala
fromInfoQ
2 days ago

Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot

Context-Augmented Generation (CAG) enhances Retrieval-Augmented Generation (RAG) by managing runtime context for enterprise applications without requiring model retraining.
Marketing tech
fromEMARKETER
4 days ago

Brands want personalization at scale, but their data stack keeps getting in the way

Limited platform integration is the top barrier to personalization for 42% of brand marketers and 47% of agency marketers in North America.
#observability
DevOps
fromNew Relic
1 month ago

Title Introducing Intelligent Workloads, Providing Business-Aligned Observability

Modern distributed systems require intelligent workload monitoring that connects technical metrics to business outcomes, replacing outdated green-light dashboards with AI-driven observability that aligns infrastructure health with revenue impact.
DevOps
fromTechzine Global
2 days ago

Observability warehouses, the next structural evolution for telemetry

Observability is essential for real-time insights in cloud systems, helping to reduce downtime and improve performance.
DevOps
fromNew Relic
1 month ago

Title Introducing Intelligent Workloads, Providing Business-Aligned Observability

Modern distributed systems require intelligent workload monitoring that connects technical metrics to business outcomes, replacing outdated green-light dashboards with AI-driven observability that aligns infrastructure health with revenue impact.
Node JS
fromhowtocenterdiv.com
1 week ago

Database Performance Bottlenecks: N+1 Queries, Missing Indexes, and Connection Pools

Database issues, like missing indexes and N+1 queries, are often overlooked in software engineering, leading to persistent performance problems.
Software development
fromTechzine Global
1 day ago

Cursor updates its platform with a focus on autonomous AI agents

Cursor 3 enhances software development by integrating AI agents for collaborative coding, reducing manual programming and streamlining workflows.
Business intelligence
fromInfoWorld
2 days ago

Kilo targets shadow AI agents with a managed enterprise platform

KiloClaw for Organizations enhances AI agent management with centralized governance, addressing security and compliance concerns for enterprises.
fromInfoWorld
4 days ago

How Apache Kafka flexed to support queues

Apache Kafka has cemented itself as the de facto platform for event streaming, often referred to as the 'universal data substrate' due to its extensive ecosystem that enables connectivity and processing capabilities.
Scala
#ai-adoption
fromTechzine Global
2 months ago
Artificial intelligence

Starburst: Chewing through data access is key to AI adoption

AI adoption is bottlenecked by lack of access to contextual, current, and governed data; without that, AI cannot reliably increase productivity.
Software development
fromTechzine Global
2 days ago

OutSystems focuses on control and consistency in AI projects

OutSystems introduces Agentic Systems Engineering to enhance coherence and control in AI development, addressing fragmentation and integration challenges.
Django
fromInfoQ
1 week ago

Open Source, Community, and Consequence: The Story of MongoDB

The keynote focuses on the document model and the community behind MongoDB, rather than the database itself.
#artificial-intelligence
#databricks
Information security
fromInfoWorld
1 week ago

Databricks pitches Lakewatch as a cheaper SIEM - but is it really?

Translating benefits into buy-in from CIOs and CISOs may be challenging for Databricks despite its intent and acquisitions.
Information security
fromInfoWorld
1 week ago

Databricks pitches Lakewatch as a cheaper SIEM - but is it really?

Translating benefits into buy-in from CIOs and CISOs may be challenging for Databricks despite its intent and acquisitions.
#ai
Data science
fromTheregister
1 week ago

Datadog bets DIY AI will mean it dodges the SaaSpocalypse

Datadog is releasing an AI model to enhance its observability tools and mitigate risks from customers building their own solutions.
Data science
fromTheregister
1 week ago

Datadog bets DIY AI will mean it dodges the SaaSpocalypse

Datadog is releasing an AI model to enhance its observability tools and mitigate risks from customers building their own solutions.
#ibm
DevOps
fromTheregister
2 days ago

IBM wants Arm software on its mainframes for AI support

IBM and Arm are collaborating to enhance enterprise systems for AI and data-intensive workloads using Arm chips.
DevOps
fromComputerWeekly.com
2 days ago

Arm works with IBM to deliver flexibility on mainframe | Computer Weekly

IBM and Arm are collaborating to create dual-architecture hardware for enterprise AI and data-intensive workloads.
DevOps
fromTheregister
2 days ago

IBM wants Arm software on its mainframes for AI support

IBM and Arm are collaborating to enhance enterprise systems for AI and data-intensive workloads using Arm chips.
DevOps
fromComputerWeekly.com
2 days ago

Arm works with IBM to deliver flexibility on mainframe | Computer Weekly

IBM and Arm are collaborating to create dual-architecture hardware for enterprise AI and data-intensive workloads.
Software development
fromTechzine Global
4 days ago

The ERP that doesn't care which AI you use, and why that's smart

NetSuite announced three new AI Connector Service extensions, emphasizing a strategic shift towards openness and integration with external AI models.
Business intelligence
fromTheregister
5 days ago

Microsoft Fabric Database Hub dubbed 'partial' solution

Microsoft's Fabric Database Hub offers a centralized management solution for its database services but lacks support for non-Microsoft databases.
Data science
fromMedium
2 weeks ago

Building Consistent Data Foundations at Scale

Building consistent data foundations through intentional architecture, engineering, and governance is essential to prevent fragmentation, support AI adoption, ensure regulatory compliance, and enable reliable organizational decisions at scale.
fromTheregister
3 weeks ago

Oracle moves to assure MySQL community it really does care

Oracle firmly believes that MySQL's enduring strength arises from this vibrant global community. We are excited to work with the MySQL Community on the strategy we announced in Belgium, January 29, 2026, including adding more features and functionality, accelerating innovation directly in the MySQL core.
Online Community Development
DevOps
fromInfoQ
1 week ago

ProxySQL Introduces Multi-Tier Release Strategy With Stable, Innovative, and AI Tracks

ProxySQL 3.0.6 introduces a multi-tier release strategy focusing on stability, innovation, and AI capabilities for diverse user needs.
Data science
fromMedium
4 weeks ago

Migrating to the Lakehouse Without the Big Bang: An Incremental Approach

Query federation enables safe, incremental lakehouse migration by allowing simultaneous queries across legacy warehouses and new lakehouse systems without risky big bang cutover approaches.
DevOps
fromInfoWorld
4 days ago

Azure's new AI modernization tools

Microsoft's Azure Copilot aids in application migration and modernization, addressing technical debt and improving cloud infrastructure management.
Business intelligence
fromInfoWorld
2 weeks ago

Snowflake's new 'autonomous' AI layer aims to do the work, not just answer questions

Project SnowWork is Snowflake's autonomous AI layer that automates data analysis tasks like forecasting, churn analysis, and report generation without requiring data team intervention.
DevOps
fromInfoWorld
5 days ago

How to build an enterprise-grade MCP registry

MCP registries are essential for integrating AI agents with enterprise systems, requiring semantic discovery, governance, and developer-friendly controls.
Business intelligence
fromTheregister
2 weeks ago

Microsoft promises multi database wrangling hub on Fabric

Microsoft launched Database Hub, a unified management tool within Fabric that consolidates multiple database services across on-premises, PaaS, and SaaS environments with AI-assisted capabilities.
Artificial intelligence
fromTheregister
3 weeks ago

Perplexity: Everything is Computer

Perplexity launches Computer for Enterprise, an AI orchestration service that automates business tasks across integrated cloud applications like Gmail, Slack, and Salesforce.
DevOps
fromTechzine Global
1 week ago

OpenObserve lowers observability storage costs by 140x

OpenObserve offers an AI-native open source platform that significantly reduces costs and infrastructure needs in the observability market.
Data science
fromMedium
1 month ago

100 Scala Interview Questions and Answers for Data Engineers

Structured Scala and Apache Spark interview preparation requires understanding distributed systems, performance trade-offs, and pipeline design beyond theoretical knowledge.
Business intelligence
fromInfoWorld
3 weeks ago

Why Postgres has won as the de facto database: Today and for the agentic future

Leading enterprises achieve 5x ROI by adopting open source databases like PostgreSQL to unify structured and unstructured data for agentic AI, with 81% of successful enterprises committed to open source strategies.
DevOps
fromInfoQ
2 weeks ago

AWS Expands Aurora DSQL with Playground, New Tool Integrations, and Driver Connectors

Amazon Aurora DSQL introduces usability enhancements, including a browser-based playground and integrations with popular SQL tools for improved developer experience.
Data science
fromInfoWorld
1 month ago

The revenge of SQL: How a 50-year-old language reinvents itself

SQL has experienced a major comeback driven by SQLite in browsers, improved language tools, and PostgreSQL's jsonb type, making it both traditional and exciting for modern development.
DevOps
fromInfoWorld
2 weeks ago

Update your databases now to avoid data debt

Multiple major open source databases reach end-of-life in 2026, requiring teams to plan upgrades and migrations to avoid security risks and higher costs.
#mariadb-acquisition
Business intelligence
fromInfoWorld
3 weeks ago

MariaDB taps GridGain to keep pace with AI-driven data demands

MariaDB's acquisition of GridGain aims to create an integrated platform combining relational database reliability with in-memory computing speed to compete with hyperscaler offerings.
Business intelligence
fromInfoWorld
3 weeks ago

MariaDB taps GridGain to keep pace with AI-driven data demands

MariaDB's acquisition of GridGain aims to create an integrated platform combining relational database reliability with in-memory computing speed to compete with hyperscaler offerings.
Artificial intelligence
fromInfoWorld
1 month ago

Why AI requires rethinking the storage-compute divide

AI workloads require continuous processing of unstructured multimodal data, causing redundant data movement and transformation that wastes infrastructure costs and data scientist time.
DevOps
fromTheregister
2 weeks ago

AWS spurs Catch-22, ending PostgreSQL 13 support for RDS

AWS RDS PostgreSQL 13 end of support forces upgrades to PostgreSQL 14+, but this breaks AWS Glue ETL service due to incompatible authentication schemes, creating a production environment conflict.
fromInfoWorld
1 month ago

The best new features in MariaDB

Ever since version 10.3, MariaDB has been steadily adding Oracle compatibility features, making it easier to port Oracle to MariaDB as-is. Oracle compatibility is opt-in. All you need to do is issue the command SET SQL_MODE='ORACLE' to activate it for a given set of SQL statements. Existing MariaDB behaviors will also be preserved wherever possible.
Software development
Data science
fromInfoWorld
1 month ago

Buyer's guide: Comparing the leading cloud data platforms

Five leading cloud data platforms—Databricks, Snowflake, Amazon RedShift, Google BigQuery, and Microsoft Fabric—offer distinct architectural approaches for enterprise data storage, analytics, and AI workloads.
DevOps
fromInfoQ
3 weeks ago

From Minutes to Seconds: Uber Boosts MySQL Cluster Uptime with Consensus Architecture

Uber redesigned MySQL infrastructure using Group Replication to reduce failover time from minutes to seconds while maintaining strong consistency across thousands of clusters.
fromDbmaestro
4 years ago

5 Pillars of Database Compliance Automation |

There is a growing emphasis on database compliance today due to the stricter enforcement of compliance rules and regulations to safeguard user privacy. For example, GDPR fines can reach £17.5 million or 4% of annual global turnover (the higher of the two applies). Besides the direct monetary implications, companies also need to prioritize compliance to protect their brand reputation and achieve growth.
EU data protection
Startup companies
fromInfoQ
2 months ago

Etleap Launches Iceberg Pipeline Platform to Simplify Enterprise Adoption of Apache Iceberg

Managed Iceberg pipeline platform unifies ingestion, transformation, orchestration, and table operations inside customers' VPCs, enabling enterprise Iceberg adoption without building custom stacks.
Web development
fromInfoQ
2 months ago

DuckDB's WebAssembly Client Allows Querying Iceberg Datasets in the Browser

DuckDB-Wasm enables browser-based, serverless end-to-end query, read, and write access to Iceberg REST catalogs and object storage without infrastructure setup.
DevOps
fromInfoQ
3 weeks ago

Netflix Automates RDS PostgreSQL to Aurora PostgreSQL Migration Across 400 Production Clusters

Netflix automated RDS to Aurora PostgreSQL migrations across 400 production clusters through infrastructure-level orchestration, eliminating manual intervention while maintaining data integrity and CDC pipeline correctness.
#mysql
DevOps
fromInfoQ
4 weeks ago

Google BigQuery Previews Cross-Region SQL Queries for Distributed Data

BigQuery's global queries feature enables SQL queries across multiple geographic regions without data movement, eliminating ETL pipelines for distributed analytics.
Data science
fromInfoQ
1 month ago

Databricks Introduces Lakebase, a PostgreSQL Database for AI Workloads

Databricks Lakebase is a serverless PostgreSQL OLTP database that separates compute from storage and unifies transactional and analytical capabilities.
Information security
fromSecuritymagazine
1 month ago

Product Spotlight on Analytics

Taelor Sutherland is Associate Editor at Security magazine covering enterprise security, coordinating digital content, and holding a BA in English Literature from Agnes Scott College.
fromInfoWorld
2 months ago

AI is changing the way we think about databases

Developers have spent the past decade trying to forget databases exist. Not literally, of course. We still store petabytes. But for the average developer, the database became an implementation detail; an essential but staid utility layer we worked hard not to think about. We abstracted it behind object-relational mappers (ORM). We wrapped it in APIs. We stuffed semi-structured objects into columns and told ourselves it was flexible.
Software development
Tech industry
fromTheregister
1 month ago

Snowflake plugs PostgreSQL into its AI Data Cloud

Snowflake now offers a native PostgreSQL DBaaS in its AI Data Cloud to run transactional workloads alongside analytics and AI under unified governance.
Software development
fromMedium
1 month ago

The Complete Database Scaling Playbook: From 1 to 10,000 Queries Per Second

Database scaling to 10,000 QPS requires staged architectural strategies timed to traffic thresholds to avoid outages or unnecessary cost.
Tech industry
fromInfoQ
2 months ago

Google Introduces Managed Connection Pooling for AlloyDB

AlloyDB's managed connection pooling increases client connections and transactional throughput while reducing operational burden and latency for high-concurrency and serverless workloads.
Artificial intelligence
fromInfoWorld
2 months ago

Generative AI and the future of databases

Databases must evolve into AI-native systems that securely federate with LLMs, support real-time access, granular permissions, and tools for safe natural-language-to-SQL integration.
Business intelligence
fromTechzine Global
2 months ago

ClickHouse, the open-source challenger to Snowflake and Databricks

ClickHouse is a high-performance columnar OLAP database rapidly adopted by AI and enterprise users, now valued at $15B and acquiring Langfuse.
Software development
fromDbmaestro
4 years ago

If You Don't Have Database Delivery Automation, Brace Yourself for These 10 Problems |

Manual database processes break DevOps pipelines; only 12% deploy database changes daily, causing configuration drift, frequent errors, slower time-to-market, and reduced productivity.
Data science
fromInfoQ
1 month ago

Beyond the Warehouse: Why BigQuery Alone Won't Solve Your Data Problems

Data warehouses like BigQuery perform well initially but become slow, costly, and disorganized at scale, undermining low-latency operational use and innovation.
Tech industry
fromTechzine Global
2 months ago

ScyllaDB: We're so over, overprovisioning

ScyllaDB X Cloud provides truly elastic, auto-scaling database capacity to reduce overprovisioning and deliver predictable high-throughput, ultra-low-latency performance.
Software development
fromInfoWorld
1 month ago

4 self-contained databases for your apps

XAMPP provides a complete local web stack (MariaDB, Apache, PHP, Mercury SMTP, OpenSSL) while PostgreSQL can be run standalone or embedded via pgserver in Python.
Artificial intelligence
fromInfoQ
2 months ago

MongoDB Introduces Embedding and Reranking API on Atlas

MongoDB Atlas now offers an Embedding and Reranking API with Voyage AI models, enabling unified semantic search, automated embeddings, and integrated monitoring and billing.
fromNew Relic
2 months ago

The Power and Cost of Data Cardinality

The more attributes you add to your metrics, the more complex and valuable questions you can answer. Every additional attribute provides a new dimension for analysis and troubleshooting. For instance, adding an infrastructure attribute, such as region can help you determine if a performance issue is isolated to a specific geographic area or is widespread. Similarly, adding business context, like a store location attribute for an e-commerce platform, allows you to understand if an issue is specific to a particular set of stores
Data science
Data science
fromMedium
2 months ago

The Complete Guide to Optimizing Apache Spark Jobs: From Basics to Production-Ready Performance

Optimize Spark jobs by using lazy evaluation awareness, early filter and column pruning, partition pruning, and appropriate join strategies to minimize shuffles and I/O.
Software development
fromInfoWorld
2 months ago

Why your next microservices should be streaming SQL-driven

Streaming SQL with UDFs, materialized results, and ML/AI integrations enables continuous, stateful processing of event streams for microservices.
Data science
fromInfoWorld
1 month ago

Snowflake debuts Cortex Code, an AI agent that understands enterprise data context

Cortex Code enables developers to use natural language to build, optimize, and deploy governed, production-ready data pipelines, analytics, ML workloads, and AI agents.
Artificial intelligence
fromTechzine Global
1 month ago

Snowflake launches Cortex Code agent for understanding data context

Cortex Code is an AI agent that converts complex data engineering, ML, and analytics tasks into natural-language workflows integrated into Snowflake and developer tools.
fromInfoWorld
2 months ago

What's new in MySQL 9.0

But it still contains useful things and can be upgraded to from MySQL 8.4 LTS; the MySQL Configurator automatically does the upgrade without user intervention during MSI installations on Windows. The major changes include: A new Vector datatype is supported in CREATE and ALTER statements. JavaScript Stored Programs, which support JavaScript-based stored programs and functions, has come to MySQL Enterprise Edition. JavaScript Stored Programs can call SQL, and SQL can call them.
Software development
fromDbmaestro
4 years ago

Database DevOps - Where Do I Start? |

Integrating databases into the CI/CD process or the DevOps pipeline is overlooked in the current DevOps landscape. Most organizations have adapted automated DevOps pipelines to handle application code, deployments, testing, and infrastructure configurations. However, database development and administration are left out of the DevOps process and handled separately. This can lead to unforeseen bugs, production issues, and delays in the software development life cycle.
Software development
fromTechzine Global
1 month ago

Databricks makes serverless Postgress service Lakebase available

Databricks today announced the general availability of Lakebase on AWS, a new database architecture that separates compute and storage. The managed serverless Postgres service is designed to help organizations build faster without worrying about infrastructure management. When databases link compute and storage, every query must use the same CPU and memory resources. This can cause a single heavy query to affect all other operations. By separating compute and storage, resources automatically scale with the actual load.
Software development
fromDbmaestro
4 years ago

What is Database Delivery Automation and Why Do You Need It?

Manual database deployment means longer release times. Database specialists have to spend several working days prior to release writing and testing scripts which in itself leads to prolonged deployment cycles and less time for testing. As a result, applications are not released on time and customers are not receiving the latest updates and bug fixes. Manual work inevitably results in errors, which cause problems and bottlenecks.
Software development
fromdeath and gravity
2 months ago

DynamoDB crash course: part 1 - philosophy

A table is a collection of items, and an item is a collection of namedattributes. Items are uniquely identified by apartition key attribute and an optionalsort key attribute. The partition key determines where (i.e. on what computer) an item is stored. The sort key is used to get ordered ranges of items from a specific partition. That's is, that's the whole data model. Sure, there's indexes and transactions and other features, but at its core, this is it. Put another way:
fromDbmaestro
5 years ago

Database Delivery Automation in the Multi-Cloud World

The main advantage of going the Multi-Cloud way is that organizations can "put their eggs in different baskets" and be more versatile in their approach to how they do things. For example, they can mix it up and opt for a cloud-based Platform-as-a-Service (PaaS) solution when it comes to the database, while going the Software-as-a-Service (SaaS) route for their application endeavors.
DevOps
fromInfoQ
1 month ago

Firestore Adds Pipeline Operations with Over 100 New Query Features

Google has overhauled Firestore Enterprise edition's query engine, adding Pipeline operations that let developers chain together multiple query stages for complex aggregations, array operations, and regex matching. The update removes Firestore's longstanding query limitations and makes indexes optional, putting the database on par with other major NoSQL platforms. Pipeline operations work through sequential stages that transform data inside the database.
Software development
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