#multi-model-databases

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Scala
fromInfoQ
9 hours ago

Lakehouse Tower of Babel: Handling Identifier Resolution Rules Across Database Engines

Open table formats standardize data semantics but lack SQL dialect interoperability, complicating identifier resolution across different engines.
fromTheregister
1 day ago

DuckDB uses RDBMS to tackle lakehouse 'small changes' issue

You make a small change to your table, adding a single row, and it affects data lake performance because, due to the way they work, a new file has to be written that contains one row, and then a bunch of metadata has to be written. This is very inefficient, because formats like Parquet really don't want to store a single row, they want to store a million rows.
Data science
DevOps
fromInfoWorld
1 day ago

The agent tier: Rethinking runtime architecture for context-driven enterprise workflows

Digital workflows in large enterprises struggle to adapt to contextual variations, leading to increased complexity and challenges in customer onboarding processes.
Data science
fromInfoWorld
4 days ago

Google Cloud introduces QueryData to help AI agents create reliable database queries

QueryData enhances AI agents' accuracy in querying databases by translating natural language into precise database queries.
#multi-agent-systems
#postgresql
DevOps
fromInfoQ
1 week ago

Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities

Google Cloud has made significant technical contributions to PostgreSQL, enhancing logical replication, upgrade processes, and system stability.
DevOps
fromInfoQ
1 week ago

Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities

Google Cloud has made significant technical contributions to PostgreSQL, enhancing logical replication, upgrade processes, and system stability.
#snowflake
Django
fromMedium
2 weeks ago

Snowflake Supports Directory Imports

Easier package imports into Snowflake functions and procedures from stage directories and SnowGit directories streamline development and deployment.
Artificial intelligence
fromTheregister
3 weeks ago

Snowflake's ongoing pitch: bring AI to data, not vice versa

Snowflake is enhancing its platform for AI integration through strategic partnerships and acquisitions, focusing on customer ROI and data management efficiency.
Django
fromMedium
2 weeks ago

Snowflake Supports Directory Imports

Easier package imports into Snowflake functions and procedures from stage directories and SnowGit directories streamline development and deployment.
Artificial intelligence
fromTheregister
3 weeks ago

Snowflake's ongoing pitch: bring AI to data, not vice versa

Snowflake is enhancing its platform for AI integration through strategic partnerships and acquisitions, focusing on customer ROI and data management efficiency.
Business intelligence
fromTheregister
2 weeks 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.
fromInfoWorld
1 week ago

Bringing databases and Kubernetes together

Automating Kubernetes workloads with Operators can provide the same level of functionality as DBaaS, while still avoiding lock-in to a specific provider.
DevOps
Node JS
fromhowtocenterdiv.com
3 weeks 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
fromInfoQ
1 week 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.
#structured-data
Data science
fromAol
1 week ago

Demystifying structured data: How to speak an LLM's native language

Structured data is essential for LLMs to accurately interpret and rank online content, enhancing search visibility and user engagement.
Data science
fromAol
1 week ago

Demystifying structured data: How to speak an LLM's native language

Structured data is essential for LLMs to accurately interpret and rank online content, enhancing search visibility and user engagement.
Data science
fromAol
1 week ago

Demystifying structured data: How to speak an LLM's native language

Structured data is essential for LLMs to accurately interpret and rank online content, enhancing search visibility and user engagement.
Data science
fromAol
1 week ago

Demystifying structured data: How to speak an LLM's native language

Structured data is essential for LLMs to accurately interpret and rank online content, enhancing search visibility and user engagement.
Django
fromInfoQ
3 weeks 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.
DevOps
fromInfoQ
2 weeks 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.
#ai
Data science
fromMedium
1 week ago

Data models: the shared language your AI and team are both missing

Understanding the attention mechanism in AI is crucial for effective use of AI tools.
Software development
fromTechzine Global
2 weeks 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
4 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.
#observability
DevOps
fromTechzine Global
2 weeks 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
fromTechzine Global
2 weeks 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.
Artificial intelligence
fromTechzine Global
4 weeks ago

Snowflake's Project SnowWork targets autonomous enterprise AI

Snowflake launches Project SnowWork, an autonomous AI interface that performs enterprise tasks like forecasts and reports without data team involvement, expanding from backend infrastructure to front-office productivity tool.
Business intelligence
fromInfoWorld
4 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
fromInfoQ
2 weeks 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.
fromTheregister
1 month 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
Data science
fromInfoQ
3 weeks ago

Data Mesh in Action: A Journey From Ideation to Implementation

Data mesh is essential for organizations to develop independent data analytics capabilities after separation from larger parent companies.
Business intelligence
fromInfoWorld
1 month 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
3 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
fromMedium
1 month 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.
fromInfoWorld
4 weeks ago

How to create AI agents with Neo4j Aura Agent

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to production in minutes. In this post, we'll explore the features of Neo4j Aura Agent that make this all possible, along with links to coded examples to get hands-on with the platform.
Data science
DevOps
fromInfoWorld
1 month 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
1 month 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
1 month 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.
Data science
fromMedium
1 month 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.
#mysql
DevOps
fromInfoWorld
1 month ago

Cloud-based LLMs risk enterprise stability

Enterprises must return to architectural resilience principles when adopting cloud-hosted LLMs to mitigate risks from increasingly common outages that cause widespread business disruption.
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
Information security
fromSecuritymagazine
2 months 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.
fromPaolo Melchiorre
1 month ago

Django ORM Standalone: Querying an existing database

For a long time I wanted to document something I have done many times in production systems but never explained clearly: using Django ORM as a standalone module to connect to an existing database. In my work I have often dealt with legacy systems where the only reliable source of truth was the database itself. In those situations, Django ORM became my Swiss army knife.
Web frameworks
DevOps
fromInfoQ
1 month 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.
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.
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
fromDevOps.com
1 month ago

Zero Downtime Multicloud Migrations for Observability Control Planes - DevOps.com

An observability control plane isn't just a dashboard. It's the operational authority system. It defines alert rules, routing, ownership, escalation policy, and notification endpoints. When that layer is wrong, the impact is immediate. The wrong team gets paged. The right team never hears about the incident. Your service level indicators look clean while production burns.
DevOps
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.
Software development
fromInfoWorld
2 months 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.
DevOps
fromInfoQ
1 month 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.
fromTechzine Global
2 months ago

4 steps to create a future-proof data infrastructure

A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?
Tech industry
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.
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.
#dynamodb
Software development
fromMedium
2 months 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.
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.
Artificial intelligence
fromTechRepublic
6 months ago

New AI Data 'Universal Translator' From Salesforce, Snowflake, Others

Snowflake and other firms created the Open Semantic Interchange to standardize semantics and enable interoperable data sharing among AI-enabled products, reducing semantic mismatches.
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.
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
fromInfoQ
2 months ago

Building Embedding Models for Large-Scale Real-World Applications

What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.
Artificial intelligence
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
fromTechzine Global
2 months ago

Databricks shows how AI strengthens the SaaS model

The rise of generative AI is often seen as an existential threat to the SaaS model. Interfaces would disappear, software would fade away, and existing players would become irrelevant. However, new figures from Databricks paint a different picture. Rather than undermining SaaS, AI appears to be increasing its use. This week, Databricks reported a revenue run rate of $5.4 billion, a 65 percent year-on-year increase. More than a quarter of that now comes from AI-related products.
Artificial intelligence
Data science
fromInfoWorld
2 months 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.
fromInfoQ
2 months 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
Data science
fromInfoQ
2 months 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.
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.
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
Data science
fromDevOps.com
2 months ago

Why Data Contracts Need Apache Kafka and Apache Flink - DevOps.com

Data contracts formalize schemas, types, and quality constraints through early producer-consumer collaboration to prevent pipeline failures and reduce operational downtime.
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