Operations | Monitoring | ITSM | DevOps | Cloud

A time series database has a straightforward definition: it’s a database purpose-built for efficiently ingesting, storing, and querying time series data. Time series data is any data with a timestamp, collected regularly or periodically, that you’ll often visualize on graphs where the X-axis is time. This definition doesn’t quite tell you what sets it apart from other types of databases, though.

In the late 2000s, the big question in database design was SQL or NoSQL. While relational databases had long held their ground, document and key-value stores were emerging as serious alternatives. Many predicted a zero-sum, winner-take-all outcome. But when we look at how organizations are using database technologies today, no single tool or category has dominated the landscape.

We are pleased to announce the release of SSIS Data Flow Components Version 3.2. This latest version introduces significant updates to enhance compatibility with modern databases and bolster security features. As data management continues to evolve, we are committed to keeping SSIS Data Flow Components at the forefront of efficient, secure, and scalable data integration and making sure our users have the tools they need to confidently navigate the future of data workflows.

We’re excited to announce dotConnect 2025.1, a major update that brings full support for the newest versions of.NET and Visual Studio. This release boosts performance with new batch update capabilities, adds built-in OAuth for easier cloud integration, and streamlines the product lineup by removing outdated technologies so developers can rely on a more modern, focused data access stack.

Guided Shadow Configuration removes the setup overhead of shadow databases in Flyway Desktop, allowing teams to adopt migrations-based workflows quickly and safely with minimal configuration. A Shadow Database is a disposable, ‘sandbox’ database that Flyway uses to generate and verify migration scripts.

2025 was a landmark year for VictoriaMetrics — defined not only by product improvements, new capabilities, and wider adoption, but by a strong and consistent presence across the global open-source and cloud-native ecosystem. Our mission has always been clear: to build open-source monitoring and observability solutions that are simple, reliable, and efficient for metrics, logs, and traces.

Integrating Dynamics 365 with Visual Studio should be simple. Yet, developers and solution architects often run into challenges when trying to establish a direct, standards-compliant connection. From dealing with fragmented integrations to handling complex data security requirements, these obstacles slow down development, increase maintenance costs, and hinder the full strategic use of CRM data.

Today, about 20-40% of developer time is spent on debugging and maintenance, which is why Oracle AI is redefining SQL optimization altogether. As AI-driven automation accelerates across the Oracle ecosystem, Oracle AI Database 26ai brings machine learning, generative AI, and real-time analytics directly into the SQL engine: reducing the need for manual tuning with built-in, AI-powered automation.