Many modern applications rely on MongoDB and MongoDB Atlas to manage growing data volumes and to provide flexible schema and data structures. As organizations adopt these and other NoSQL databases, effective monitoring and optimization become critical, especially in distributed environments.

In database management, efficient limiting of query results is crucial for optimizing performance and ensuring the retrieval of relevant data. Many SQL database systems, such as MySQL and PostgreSQL, utilize the LIMIT clause to specify the number of records a query returns. However, SQL Server doesn’t support the LIMIT clause, opting instead for alternatives like TOP, OFFSET-FETCH, and SET ROWCOUNT.

Database monitoring is crucial for numerous reasons, an example being that monitoring database performance metrics such as query execution times, throughput, and resource utilization helps highlight performance bottlenecks. By conducting this, administrators can enhance database configurations, queries, and indexing by examining these metrics to optimize overall performance.

An ability to work with databases with increased efficiency and speed can essentially contribute to a company’s success, assisting with the optimization of the overall workflow and the reduction of operational costs as there is less time one needs to spend on SQL coding, refactoring, and code optimization. However, it takes effort to find a product that would help with these goals while being reliable and stable and providing fast results without requiring any complex onboarding.

PostgreSQL is a popular open-source relational database management system (RDBMS) known for its flexibility, scalability, and extensibility, offering a wide range of features. However, for large, enterprise-level projects, PostgreSQL’s capabilities may not be sufficient, leading developers to explore alternative systems. One such solution is Fujitsu Enterprise Postgres, a PostgreSQL-based database enhanced with commercial features designed to meet the demands of larger projects.

We’ve been on a release spree recently, and it seems not to show any signs of stopping. This time, we’ve got some good news for the users of SecureBridge, our top-tier library of client and server components for SSH, SFTP, FTPS, HTTP/HTTPS, SSL, WebSocket, and SignalR protocols. Today, we have rolled out an update of SecureBridge with a few nifty enhancements that will keep your experience with it at an all-time high.

When you need to perform certain actions with each of the elements from an array that you don’t want to edit in any way, the SSIS forech loop container, a control flow task, comes in handy. Using it, you can easily iterate through items defined in a collection and automate processing them one by one. Eventually, this approach helps cut the time usually spent on manually handling each item from the dataset.

Another release is coming your way! This time we have rolled out an update for our collection of high-performance Devart Python Connectors, which help access a variety of database servers and cloud services from Python applications and facilitate CRUD operations with data.