Big data storage tools like BigQuery, Hadoop, and Cassandra are used to manage large volumes of structured and unstructured data generated by modern applications. Unlike traditional databases, these tools provide scalable and distributed infrastructure that efficiently stores, processes, and analyzes petabytes of data across clusters.

With an expanding community of users and an array of data management features under the hood, PostgreSQL has outperformed less popular databases in 2024 and is expected to become a huge trend in the upcoming year. For those who know their way around other RDBMSs, this database management system is quite easy to master, even though it has a more complex architecture.

I don’t understand why pure open-source licenses, such as Apache2, MIT or BSD, should be replaced with a source available license in order to increase profits from enterprise support contracts. That’s why we at VictoriaMetrics aren’t going to change the Apache2 license for our products. Our main goal is to provide good products to users, and to help users use these products in the most efficient way.

We’re excited to announce the addition of CockroachDB as an Enterprise data source for Grafana. The data source, available now in private preview, enables secure and seamless access to the CockroachDB distributed SQL database, while leveraging Grafana’s powerful visualization capabilities.

Elasticsearch is primarily a search engine optimized for fast, complex search queries, especially text searches, and is often used for log and event data analysis. MongoDB, on the other hand, is a general-purpose, document-oriented database that excels in storing and retrieving structured and semi-structured data. It is commonly used for mobile, social, and IoT applications. While Elasticsearch provides superior search capabilities, MongoDB offers more robust data processing and storage features.

Choosing the Devart ODBC Driver for Shopify enhances your ability to conduct in-depth data analysis and improves the integration process, offering a dependable and efficient connection to your Shopify data. In this article, we’ll demonstrate how to use the Devart ODBC Driver to connect to your Shopify database, followed by utilizing Power BI for data analysis.

In SQL, triggers allow developers to automate actions based on events within the database, such as INSERT, UPDATE, or DELETE operations. They can also be useful for maintaining database integrity and maintaining code accuracy. Still, you should be careful when using them since they may impact database performance. In this article, we’ll make a brief overview of SQL triggers and events that can initiate them.

Sybase Adaptive Server Enterprise (ASE) is a robust solution for handling critical business operations. To keep it running at peak performance, it's essential to monitor it continuously and collect a range of performance metrics. These metrics provide detailed insights into various aspects of the server’s health, including connection times, memory usage, cache efficiency, transaction management, and database health.