MongoDB’s Post

Gong's mission: To provide advanced visibility and smart guidance to revenue teams everywhere! Yet, they faced a hurdle with their previous database, slowing down processes and hindering productivity. Learn how MongoDB Atlas revolutionized their operations, delivering lightning-fast performance and cost efficiency. https://lnkd.in/eP8QgKg4

Meet Gong, the revenue intelligence platform revolutionizing customer interactions! They faced a challenge: their previous database provider couldn't keep up with their algorithm's demands. Discover how MongoDB Atlas transformed their operations, delivering millisecond response times and seamless customer insights. https://lnkd.in/gxGW7ZB7

Discover how DevRev revolutionizes CRM for product-led growth using MongoDB Atlas! Their AI-powered OneCRM platform transforms using customizable #LLMs, robust data engineering, analytics, and more. “With MongoDB Atlas, our development velocity is 3-4x higher than if we used alternative databases. We can get our innovations to market faster, providing our customers with even more modern and useful CRM solutions.” -Anshu Avinash, Founding Member, DevRev Dive into their journey here: https://lnkd.in/gnJBFt3t

The latest update for #Integrateio includes "Boost #Productivity with #WorkflowOrchestration" and "B2B #Integration: Securing Your Data". #ETL #BigData #DataAnalytics #DataPipelines https://lnkd.in/ePvwyvTQ

Level up your workflow with the right tools! 🚀 1️⃣ Say goodbye to hassle - Eliminate manual processes for good. 2️⃣ Trust your data - Create a single, reliable source of truth. 3️⃣ Move smarter - Get ahead of the curve with data-driven decisions. 4️⃣ Boost productivity - Increase efficiency across all operations. 5️⃣ Keep it compliant - Effortlessly streamline how you comply and manage risk. Get ahead with technology that integrates, analyzes, and secures your data for peak business performance. 💡✨ #DataIntegration #Efficiency #BusinessGrowth #TechSolutions

During the development phase Kovai.co’s engineering and data science teams explored multiple vector databases to power the RAG portion of the application. The release of MongoDB Atlas Vector Search provided a solution with three key advantages for the engineers: 🌱Architectural simplicity: MongoDB Vector Search's architectural simplicity helps Kovai optimize the technical architecture needed to implement Eddy. 🌱Operational efficiency: Atlas Vector Search allows Kovai to store both knowledge base articles and their embeddings together in MongoDB collections, eliminating “data syncing” issues that come with other vendors. 🌱 Performance: Kovai gets faster query response from MongoDB Vector Search at scale to ensure a positive user experience. Check out the full story: https://lnkd.in/dtq9j3DT

Hello LinkedIn community, I’m excited to discuss one of the most powerful features of Apache Airflow—extensibility. As data engineering tasks become increasingly complex, the ability to extend and customize our tools to meet specific needs is invaluable. Apache Airflow shines in this area, offering unparalleled flexibility to integrate with various systems, customize workflows, and develop new functionalities. 🔍 What is Extensibility in Apache Airflow? Extensibility refers to the capability to expand and enhance Airflow's core functionality through custom operators, hooks, sensors, and plugins. This allows users to tailor the platform to their specific requirements, ensuring that it can handle diverse and evolving data workflows. 📊 Key Aspects of Extensibility in Airflow: 1. Custom Operators: Create custom operators to encapsulate unique business logic or data processing tasks. This enables seamless integration with various systems and APIs. 2. Hooks and Connections: Use hooks to establish connections with external systems like databases, cloud services, and APIs. Custom hooks can be created to support new services. 3. Sensors: Develop custom sensors to wait for specific conditions, such as the availability of a file or the completion of an external job, before executing downstream tasks. 4. Plugins: Extend Airflow’s capabilities by creating plugins that can include custom operators, hooks, sensors, or even new UI components. Plugins allow for modular and reusable code. 5. Community and Ecosystem: Benefit from a rich ecosystem of pre-built integrations and extensions contributed by the community. From cloud providers to data analytics platforms, there’s a wide range of plugins available to extend Airflow's functionality. #ApacheAirflow #Extensibility #DataOrchestration #BigData #DataEngineering #ETL #DataPipelines #CustomOperators #DataIntegration

#AzureDaily Discover how to implement pagination with the #CopyActivity in #MicrosoftAzureDataFactory to handle APIs with result limits. Boost efficiency, save resources, and extract large data sets seamlessly! 🌐☁️💡 #AzureCloudExpert #AzureDataFactory #FastTrackForAzure

Learn how Kovai.co is building the future of enterprise knowledge bases by leveraging the power of MongoDB Atlas Vector Search to provide relevant content quickly. https://lnkd.in/ghGf3DrT

Discover how DevRev revolutionizes CRM for product-led growth using MongoDB Atlas! 🚀 Their AI-powered OneCRM platform transforms using customizable #LLMs, robust data engineering, analytics, and more. Dive into their journey here: https://lnkd.in/eWiHKVMH