GlassFlow provides a serverless and production-ready setup for building and transforming event-driven data pipelines in Python, without the need for Kafka or Flink.

GlassFlow

When it comes to data streaming, organizations are using complex tech systems to meet user expectations. The challenges of constructing and managing event-driven data pipelines often require substantial data engineering efforts, hindering the adaptability of applications. 

GlassFlow's mission is to democratize real-time data processing, helping organizations of all sizes and Python engineers from diverse backgrounds unlock the full potential of streaming data. The product includes an easy-to-use setup that scales automatically with the performance needs of the pipelines and a serverless transformation engine that allows users to define applications as functions and events.

GlassFlow.dev

LinkedIn live webinar: How to build a data streaming pipeline for real-time anomaly detection with AI and alerting

Monitoring log data, detecting anomalies, and alerting come with challenges such as the volume and velocity of log data, complexity of log formats, high false positive rates, and integration with existing logging systems like application or database logs. 

AI can simplify the cleaning of data, convert it into a structured form, and identify security threats, audit issues, application failures, or other unusual and suspicious activities.

Join top experts in the data streaming and AI field! We’ll guide you through these challenges, helping you build a powerful solution using GlassFlow, OpenAI, and Slack in just minutes.

We look forward to seeing you there!

#webinar #StreamDataProcessing #datastreamingminutes

Thanks Swapnil Gupta for sharing your positive experience with GlassFlow 🚀 ✨

Use Case: Learn how to enrich classified ads in real-time with OpenAI, LangChain and GlassFlow.dev

How it works:
➡ Collect classified ads from data sources using managed connectors
➡ GlassFlow processes the ads, enriching them with additional information and categorizing them using Langchain and OpenAI
➡ Result: Stores enriched ads in Redis for quick retrieval and advanced search, providing a better user experience

This allows you to
• Enhance ad visibility and accuracy with enriched, well-organized ads
• Improve user engagement and satisfaction by ensuring ads are detailed and easy to find
• Integrate machine learning models that detect and filter out spam ads in real time

📚Learn more about setting up classified real-time ads: 
https://lnkd.in/dSiGKxt6

#langchain #AI #Python #TechInnovation #DataStreaming

Connect Google Pub/Sub (Google Cloud) with Glassflow - ingest events for data streaming with less effort

Why to use Google Pub/Sub with GlassFlow?
🌟 Perfect for building scalable, event-driven architectures and real-time applications that react to every event instantly.
🌟 As your data grows to billions, the data transformation pipeline scales automatically.
🌟 No code integration with easy configuration using UI and running it as a fully managed service.

📚 See what else you can do with GlassFlow
https://lnkd.in/dxP47tg5

#RealTime #googlepubsub #DataAnalytics

We are happy to share this fantastic feedback from Anurag Roy 😊✨Thanks!

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SaaS Companies (Top 10K)

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GlassFlow is a Python solution for creating and maintaining event-driven data pipelines. Data teams no longer have to worry about infrastructure complexity thanks to serverless execution and built-in interfaces.

Upfront Ventures

Seed Round - GlassFlow

HTGF | High-Tech Gruenderfonds

Pre Seed Round - GlassFlow

Berlin

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GlassFlow Raises $4.8M in Seed Funding

Berlin-based GlassFlow bags €4.43 million to enable Python devs to build event-driven data pipelines in minutes

GlassFlow secures $4.8M to let Python developers build event-driven data pipelines in minutes

DFC will send special representative to Ukraine to expedite receipt of investment insurance

UkraineInvest will support Terwin’s $500 mln investment project for building logistics hubs

Gynesonics Raises $67.2M Financing

GlassFlow Raises $1.1M in Pre-Seed Funding

First insurance projects against war, political risks starts to be implemented in Ukraine – Svyrydenko

A serverless setup for building and transforming event-driven data pipelines without the need for managing partitions, shards, or workers.

Covers all streaming needs with an automated setup that scales, allowing for easy deployment of applications as functions and events.

Enables running stateful transformations and executing multi-chain functions within the data streaming infrastructure.

A fully managed service that can be deployed in the cloud of choice, including automatic updates and maintenance.

Offers all-inclusive pricing with no hidden fees, a generous free tier, and charges based only on usage.

Provides a high uptime guarantee to ensure critical applications remain operational, supported by a human customer support team.

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GlassFlow