There is increasing demand for realtime data delivery as users expect faster experiences and instantaneous transactions. This means not only is lower latency required per message, but providers must also handle far greater capacity in a more globally-distributed way.

SQL Server is a cornerstone RDBMS for enterprise applications, handling transactional workloads, analytics, and complex querying. As modern architectures increasingly rely on APIs for data access—particularly in microservices, cloud-native systems, and third-party integrations—efficient exposure of SQL Server data has become essential. API wrappers simplify this process by automating the creation of RESTful endpoints for SQL Server, reducing the need for custom API development.

Following the deprecation of Realm, we have partnered with MongoDB to ensure that MongoDB customers can continue to deliver the device sync capabilities their customers depend on. The solution: a MongoDB Connector for the Ably LiveSync product. Ably LiveSync enables you to seamlessly fan-out your MongoDB Atlas state to billions of clients in realtime - ensuring reliable, low-latency delivery of your document data.

As a data engineer who has worked on building and managing various technical aspects of data pipelines over the years, I've navigated the intricate landscape of data integration, transformation, and analysis. In mid-market companies, where data-driven decision-making is pivotal, constructing efficient and reliable database pipelines allows you to store data in cloud data warehouses and carry out better data analysis or machine learning models.

Today, Confluent, the data streaming pioneer, is excited to announce its entrance into MongoDB’s new AI Applications Program (MAAP). MAAP is designed to help organizations rapidly build and deploy modern generative AI (GenAI) applications at enterprise scale.

Snowflake combines unmatched scalability, performance, and ease of use. It simplifies the complexities of traditional data warehousing, enabling businesses to store and analyze data at scale without the overhead of infrastructure management. But to truly unlock the power of Snowflake, businesses need an efficient and secure way to move data into it.

Do you have a DB2 database that needs a REST API? Now you can connect to your IBM DB2 with DreamFactory in just a few minutes. In this short blog post I’ll explain how you can connect to DB2 with DreamFactory’s auto-generated REST API for DB2.

ClickHouse is a high-performance, columnar database designed for analytics and big data applications. One of ClickHouse's standout features is its ability to perform filtering directly on compressed data, enabling faster results compared to traditional relational databases. While working with ClickHouse, you will often encounter the WHERE and PREWHERE clauses, both of which are used to filter data. But what is the difference between WHERE and PREWHERE, and when should you use one over the other?

In today's data-driven landscape, data analysts rely on powerful database management tools to organize, query, and extract insights from vast datasets. With a multitude of options, choosing the right tool can significantly impact efficiency and performance. Tools like MySQL Workbench, SQL Server Management Studio, and Google BigQuery provide robust platforms for relational data management, while options such as MongoDB Compass cater to unstructured data needs.