Systems | Development | Analytics | API | Testing

How to Use MongoDB in Python Flask

When developing software applications, data storage is a key concern. The reality is that your first concern should be the data model you choose, which in turn affects how you store data. Generally speaking, this means deciding between SQL and NoSQL databases. In this article, you will learn how to use MongoDB, a popular NoSQL database, in a Flask application. First, you will learn why MongoDB is a good choice, and then we will implement a practical hands-on project using MongoDB in Flask.

How AI is Changing Real Estate - With Julie Blanc, Rentana | The Innovation Blueprint

In this episode of The Innovation Blueprint Podcast, we speak with Julie Blanc, Co-Founder & CEO at Rentana. Rentana is the AI-powered, first-of-its-kind revenue intelligence platform built for multifamily owners and operators. In This Episode, You’ll Learn:– Origin and inspiration behind the Rentana solution– Data integration and privacy approach– Core AI functionalities and future enhancements– The broader impact of AI on the PropTech and real estate industries.

Fast, Fair, and Frictionless: Reinventing Claims with AI and Workbenches

In insurance, the claims process is the real “moment of truth.” It's when customers find out if their insurer is truly there for them. They don’t just want fair treatment—they also expect their claims to be handled quickly and easily. But the reality? Claims often take way too long because of outdated, clunky processes. And the growing tsunami of data needed to adjust a claim can create information overload for an adjuster.

Chat SDK vs self-build: How to choose the right architecture for in-app messaging?

In-app chat has gone from a nice-to-have to an essential product feature across gaming, SaaS, social, and live streaming apps. While it’s tempting to treat it as “just another feature,” the reality is that building chat touches nearly every layer of your stack - from low-latency delivery and message ordering to presence, typing indicators, moderation. And then there is operating at scale to consider.

Boost Insights with Logilica's AI Advisor

In today’s data-driven environment, there is truly no end to the overwhelming amount of information that both contributors and users have access to. People often spend hours combing through logs trying to piece information into usable goods. This turns what could be swift, data-driven decisions, into time-consuming challenges that slow down innovation.

Advanced Ecto for Elixir Monitoring with AppSignal

In our previous article, we explored the basics of monitoring Ecto with AppSignal, covering everything from initial setup to tracking key metrics such as query execution time and resource consumption. We even set up custom instrumentation for database connection pools to gain deeper insights into our application's performance. However, setting up monitoring is just the first step toward maintaining a healthy, high-performing Elixir application.

Next-gen FinTech Software Development in 2025

Fintech had a busy year in 2024. Global companies like HDFC, SBI, Paytm, and Google are eliminating the need for traditional financial intermediaries and utilising the best fintech software development companies to provide customers with almost anything, including banking, insurance, credit, mortgages, and more. The invention that gave rise to financial technology, or Fintech, seemed like science fiction even ten years ago.

Connect APIs to AI Agents: Expose, Discover and Manage MCP Servers with Bijira

The API landscape is evolving rapidly with some protocols rising in popularity while others fade away. The journey that started with SOAP has now evolved into other protocols like REST, GraphQL, gRPC, AsyncAPIs, and more. With the emergence of large language models (LLMs), we are now in the era of AI agent/assistant integrations with APIs. LLMs are power utilities. However, they operate without contextual awareness.

From API Automation to Data AI Gateway: Why DreamFactory's Evolution Matters Now

DreamFactory has transformed from a basic API automation tool into a Data AI Gateway, addressing modern enterprise challenges like managing APIs, integrating data, and ensuring security. Here's why this evolution is important: API Management Simplified: DreamFactory generates secure REST APIs for databases in just 5 minutes, saving time and reducing development costs by up to $201,783 annually.