Databases

Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.

In today’s digital world, databases are crucial for the success of almost every organization. They store and retrieve data for software programs to function smoothly. However, as databases become more complex, testing them becomes increasingly challenging. This is where database testing comes in. In this article, we will discuss the top 10 database testing tools available today, along with their features, pros, and cons.

Developers often build high-performing, scalable applications using GraphQL and PostgreSQL to define data structure and achieve reliability, scalability, and high performance. First, however, selecting the appropriate framework to simplify and streamline the development process is crucial while building a GraphQL API with PostgreSQL. This blog will explore the top tools for building GraphQL APIs with PostgreSQL, including Hasura, Postgraphile, Prisma, and GraphQL Nexus.

Learn why SQL is essential for every data analyst’s career and how it upgrades the impact you can make for your organization.

Direct database connectors or connections act as a middleperson between an app and a database, allowing the app to read, write, and alter data in the database without an API or other intermediary layer. While these connectors might be simpler to set up than creating and automating an API, making them valuable for database management, they pose several cybersecurity risks that could put your business at risk. Below, learn about these threats and how to mitigate them with an API management platform.

AWS DMS (Amazon Web Services Database Migration Service) is a managed solution for migrating databases to AWS. It allows users to move data from various sources to cloud-based and on-premises data warehouses. However, users often encounter challenges when using AWS DMS for ongoing data replication and high-frequency change data capture (CDC) processes.

Data integration is the process of combining data from multiple sources into a single, unified destination. An ETL tool can help streamline this process, as it automatically extracts data from various sources, transforms it, and loads it into a target warehouse. By using an ETL tool, organizations reduce the cost and complexity of data integration, improve data accuracy, and ensure data security and privacy.

Seamless and low-latency replication from operational databases, including PostgreSQL, directly to BigQuery, enabling near real-time insights.

Databases are organized collections of data stored in a server or a system elsewhere and can be retrieved upon need. They can be managed and even updated as and when the need arises. This data can be in the form of texts, images, integers, or multimedia files. SQL uses a standard query language to manage relational databases. You must have heard of MySQL, PostgreSQL, Oracle, and Microsoft SQL servers.

DuckDB is competitive with the best commercial systems for small and medium data sizes, but is not (yet) good at scaling up to many CPU cores.