#database-technology

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fromInfoWorld
4 weeks ago

Alibaba Cloud launches Eigen+ to cut costs and boost reliability for enterprise databases

The new memory management system improves efficiency by 36% and eliminates service-disrupting OOM errors.
Data science
fromInfoQ
1 month ago

HTAP: The Rise and Fall of Unified Database Systems?

HTAP has not achieved its goal of unifying transaction and analytical processing, leading experts to prefer specialized systems.
DevOps
fromInfoQ
1 month ago

Amazon Aurora DSQL Goes GA: Distributed, PostgreSQL-Compatible Serverless Database

Amazon Aurora DSQL offers serverless PostgreSQL compatibility, ensuring high availability and global consistency for modern applications.
#mariadb
fromInfoQ
11 months ago
JavaScript

MariaDB Introduces Open-Source Vector Preview, Aiming to Become Default MySQL Option

fromInfoQ
11 months ago
JavaScript

MariaDB Introduces Open-Source Vector Preview, Aiming to Become Default MySQL Option

more#mariadb
fromInfoWorld
2 months ago

Microsoft beefs up SQL Server 2025 for AI-driven applications

SQL Server 2025 is ahead of the competition in model management, packaging model definitions within T-SQL for secure AI service connections.
Business intelligence
Bootstrapping
fromFast Company
11 years ago

Think LinkedIn Knows Your Network? Relationship Science Digs Deeper

Bootstrapping in startups can involve self-funding despite financing offers. RelSci's success was from using its product to attract clients, despite significant outside funding.
fromTechCrunch
2 months ago

Databricks to buy open-source database startup Neon for $1B | TechCrunch

"The era of AI-native, agent-driven applications is reshaping what a database must do," said Ali Ghodsi, co-founder and CEO of Databricks.
Data science
fromInfoQ
3 months ago

Google Cloud Announces Firestore with MongoDB Compatibility

Google Cloud introduces Firestore with MongoDB compatibility, enabling users to leverage MongoDB API for JSON data storage and querying.
fromInfoQ
3 months ago

PlanetScale Vectors Now GA: MySQL's Missing Feature?

PlanetScale's new vector support integrates with MySQL, enhancing data storage and performance while eliminating the need for specialized databases.
fromQuestDB
5 months ago

Design by Decision Fatigue | QuestDB

At almost every step in the early phases of a software project, you are one decision away from a disaster. This disaster won't end up rendering the entire project useless, but it will manifest itself as tech debt.
Software development
#data-management
Data science
fromMedium
5 months ago

Database Revolution Series: A Modern Guide to Data Management

Multi-model and cloud-native databases are transforming data management by enabling flexibility and scalability.
DevOps
fromMedium
5 months ago

SQL vs. NoSQL Explained: When to Use Which and Why It Matters to Modern Data Management

SQL and NoSQL databases are essential for modern data management.
Traditional databases are inadequate for current data needs.
Data science
fromMedium
5 months ago

Database Revolution Series: A Modern Guide to Data Management

Multi-model and cloud-native databases are transforming data management by enabling flexibility and scalability.
DevOps
fromMedium
5 months ago

SQL vs. NoSQL Explained: When to Use Which and Why It Matters to Modern Data Management

SQL and NoSQL databases are essential for modern data management.
Traditional databases are inadequate for current data needs.
more#data-management
fromtowardsdatascience.com
5 months ago
Artificial intelligence

Retrieval Augmented Generation in SQLite

SQLite simplifies the approach to retrieval-augmented generation (RAG) without the need for complex frameworks or cloud databases.
Data science
fromTreehouse Blog
7 months ago

Should You Go Beyond Relational Databases?

Relational databases may not be suitable for all applications; assess your needs.
Signs of outgrowing relational databases include complex schemas and performance issues.
fromInfoQ
11 months ago

Why a Hedge Fund Built Its Own Database

The main reason for building our own database technology was that existing systems couldn't meet our specific needs for data handling, speed, and volume.
Data science
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