![](https://www.bigdatawire.com/wp-content/uploads/2023/06/informatica_webinar_111.png)
![](https://www.bigdatawire.com/wp-content/uploads/2016/02/shutterstock_real-time-data_Haver-300x225.jpg)
via Shutterstock
Enterprise adoption of event streaming frameworks is paying off for the founders of Apache Kafka, the popular stream processing platform that is poised for an upgrade.
Confluent Inc., the company launched by Kafka founders, announced a hefty $250 million funding round on Tuesday (April 21) along with a new project touted as the ânext actâ for real-time data streaming. The Series E round that included new investors Altimeter Capital and Franklin Templeton lifts Confluentâs total funding to $456 million. The company claims a market valuation of $4.5 billion.
Kafka-based event-streaming platforms have expanded data access to applications and their users. Confluent said the next challenge is building and scaling âevent-drivenâ applications across datacenters, multiple clouds and microservices.
âEvent streaming has set the new standard for how data can be leveraged across an organization as a continuous stream of real-time events,â Jay Kreps, Confluentâs CEO and co-founder, said in announcing the funding round.
The company also announced the launch of Project Metamorphosis, a next-generation event streaming platform hosted on Confluentâs cloud. A series of monthly product and feature releases beginning in May and extending over eight months will flesh out the upgraded real-time streaming platform, Confluent said.
The new capabilities will be âorganized around the core tenets we think should be mandatory for cloud infrastructure,â Kreps added in a blog post. âTaken together we believe these will set the bar for this emerging space and lay the foundation for what we plan to do over our next five years.â
Project Metamorphosis is being launched as Confluent ramps up its ksql database built atop Kafka and positioned as the future of stream processing. Other initiatives include collecting data streams from connected Internet of Things devices. Confluent said it is currently managing more than 4,500 Kafka clusters on its cloud platform.
Recent items:
Confluent Reveals ksqlDB, a Streaming Database Built on Kafka
Higher Abstractions, Lower Complexity in Kafkaâs Future
Real-Time Data Streaming, Kafka and Analytics, Part 2: Going Beyond Pure Streaming
February 14, 2025
- Clarifai Unveils Control Center for Enhanced AI Visibility and Decision-Making
- EDB Strengthens Partner Program to Accelerate Postgres and AI Adoption Worldwide
- Workday Introduces Agent System of Record for AI Workforce Management
- Fujitsu Unveils Generative AI Cloud Platform with Data Security Focus
- NTT DATA Highlights AI Responsibility Gap as Leadership Fails to Keep Pace
- Gurobi AI Modeling Empowers Users with Accessible Optimization Resources
February 13, 2025
- SingleStore Unveils No-Code Solution Designed to Cut Data Migration from Days to Hours
- Databricks Announces Launch of SAP Databricks
- SAP Debuts Business Data Cloud with Databricks to Turbocharge Business AI
- Data Science Salon Kickstarts 2025 with DSS ATX Conference, Featuring AI Startup Showcase
- Hydrolix Achieves Amazon CloudFront Ready Designation
- Astronomer Launches Astro Observe to Unify Data Observability and Orchestration
- EU Launches InvestAI Initiative to Build AI Gigafactories Across Europe
- HPE Announces Shipment of Its First NVIDIA Grace Blackwell System
- IDC Celebrates 60 Years of Tech Intelligence at Directions 2025
- Lucidity Gains $21M to Scale AI-Driven Cloud Storage Optimization
- Glean Launches Open Security and Governance Partner Program for Enterprise AI
February 12, 2025
- OpenTelemetry Is Too Complicated, VictoriaMetrics Says
- What Are Reasoning Models and Why You Should Care
- Three Ways Data Products Empower Internal Users
- Memgraph Bolsters AI Development with GraphRAG Support
- Keeping Data Private and Secure with Agentic AI
- Three Data Challenges Leaders Need To Overcome to Successfully Implement AI
- PayPal Feeds the DL Beast with Huge Vault of Fraud Data
- Top-Down or Bottom-Up Data Model Design: Which is Best?
- Inside Nvidiaâs New Desktop AI Box, âProject DIGITSâ
- Data Catalogs Vs. Metadata Catalogs: Whatâs the Difference?
- More Featuresâ¦
- Meet MATA, an AI Research Assistant for Scientific Data
- AI Agent Claims 80% Reduction in Time to Complete Data Tasks
- DataRobot Expands AI Capabilities with Agnostiq Acquisition
- Collibra Bolsters Position in Fast-Moving AI Governance Field
- Snowflake Unleashes AI Agents to Unlock Enterprise Data
- Observo AI Raises $15M for Agentic AI-Powered Data Pipelines
- Anacondaâs Commercial Fee Is Paying Off, CEO Says
- Microsoft Open Sources Code Behind PostgreSQL-Based MongoDB Clone
- Confluent and Databricks Join Forces to Bridge AIâs Data Gap
- Mathematica Helps Crack Zodiac Killerâs Code
- More News In Briefâ¦
- Informatica Reveals Surge in GenAI Investments as Nearly All Data Leaders Race Ahead
- Gartner Predicts 40% of Generative AI Solutions Will Be Multimodal By 2027
- PEAK:AIO Powers AI Data for University of Strathclydeâs MediForge Hub
- DataRobot Acquires Agnostiq to Accelerate Agentic AI Application Development
- TigerGraph Launches Savanna Cloud Platform to Scale Graph Analytics for AI
- EY and Microsoft Unveil AI Skills Passport to Bridge Workforce AI Training Gap
- Alluxio Enhances Enterprise AI with Version 3.5 for Faster Model Training
- DeepSeek-R1 models now available on AWS
- Lightning AI Brings DeepSeek to Private Enterprise Clouds with AI Hub
- SAS Viya Outperforms Competitors and Lowers Operational Costs, Study Says
- More This Just Inâ¦