Conferences / Current (formerly Kafka Summit)
Current London 2025
May 20–21, 2025 · ExCeL London, London, United Kingdom
- Conference
- Current (formerly Kafka Summit) Vendor & industry
- Dates
- May 20, 2025 – May 21, 2025
- Venue
- ExCeL London
- Place
- London, United Kingdom
- Format
- In person
- Status
- Past
- Attendance
- —No reported headcount (site shows a generic '3500 attendees' marketing stat).
- Website
- current.confluent.io
- Recorded
- 36 sponsors · 114 speaker appearances
- Notes
- Session rooms listed in the ICC London (part of ExCeL). Tiers from the 1 May 2025 sponsors page; AWS and Databricks appear only on the later 'Thank you to our 2025 sponsors' list (tier unknown). Decodable was listed Gold on 1 May but not on the final list. Session catalog: 107 agenda items from the official Swoogo agenda (https://confluent.swoogo.com/currentlondon/agenda, live Nov 2026), 85 of them with speakers. The 22 items with no listed speakers (meals, registration, expo, trainings, parties) are not recorded. The agenda names no speakers for the keynote session(s) 'Keynote: Unifying Batch and Streaming in the Age of AI', so their speakers are known only from other sources. Track holds the agenda's session type. Abstracts from the session detail pages, truncated to about 1,200 characters.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Group pass (min 3, per ticket) | £650 | May 17, 2025 | web.archive.org | |
| Early bird pass | £799 | May 17, 2025 | web.archive.org | |
| Standard pass | £999 | — | web.archive.org |
Sponsors 36
Speakers and talks 114
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Adam Richardson | OpenAI | Speaker | Changing engines mid-flight: Kafka migrations at OpenAI | — |
| Adam Souquieres | Confluent | Speaker | Optimizing Kafka Streams Joins for Business-Critical Processes | — |
| Ademir Spahic | PersonifyHealth | Speaker | Empowering Developers with a Centralized Kafka Library | — |
| Aikaterini Baousi | PPC Group | Speaker | Turning the Lights On: How We Unlocked Real-Time Customer Data | — |
| Alex Sorokoumov | Confluent | Speaker | Tableflow: Not Just Another Kafka-to-Iceberg Connector! | — |
| Amit Nijhawan | Confluent | Speaker | How Kafka's new KRaft protocol replaces ZK for partition management, and improves data performance | — |
| Andrei Manakov | ShareChat | Speaker | How We Replaced Node.js with Apache Flink for Real-Time Deduplication and Cut Costs by 7x | — |
| Andrew Schofield | Confluent | Speaker | Queues for Kafka | — |
| Andrew Schofield | Confluent | Speaker | One Client to Rule them all | — |
| Andrew Sellers | Confluent | Speaker | The Future of AI is Event-Driven | — |
| Anna McDonald | Confluent | Speaker | Land of Confusion: Living with Hybrid Kafka Deployments for the Long Haul | — |
| Anton Rodriguez | New Relic | Speaker | The Latency-Cost equation for Disaggregated Architectures | — |
| Asterios Katsifodimos | TU Delft | Speaker | Serverless Transactional Applications Go with the (Data)Flow | — |
| Bruno Cadonna | Confluent | Speaker | No More Hiding: Kafka Streams as a First-Class Citizen in the Kafka Protocol | — |
| Carlos Santos | tb.lx by Daimler Truck | Speaker | HALO Jumping into Flink: Lessons learned from managing real-time data at Daimler Truck | — |
| Chad Meley | StarTree | Speaker | Next-Gen RAG Architectures for Streaming Vector Data | — |
| Craig Lukasik | Databricks | Speaker | Unlocking Next-Gen Stateful Streaming: Harnessing transformWithState in Apache Spark with Kafka | — |
| Daniel Szymatowicz | Scoutz (BEC) | Speaker | Modernizing Core Banking Platform: Real-Time Data Streaming from Mainframe to Salesforce | — |
| David Anderson | Confluent | Speaker | Unlocking the Mysteries of Apache Flink | — |
| David Jacot | Confluent | Speaker | Kafka Consumer 4.0 - Major version, major improvements, get to know it all | — |
| Diptiman Raichaudhuri | Confluent | Speaker | pyflink Table API on streaming data - Fearless python data engineering | — |
| Donny Nadolny | Stripe | Speaker | Kafka Tiered Storage in Production? | — |
| Dora Simroth | E.ON | Speaker | Women in Technology Luncheon: How to build your personal strategy into leadership | — |
| Dunith Danushka | EDB | Speaker | Wrangling Iceberg Tables with PyIceberg CLI: A Hands-On Journey | — |
| Eliel Lima Oliveira | Knauf | Speaker | The race against time: Real-time Content Insights | — |
| Eric Maynard | Snowflake | Speaker | The Luge: Apache Iceberg™ and Streaming | — |
| Erika Ortiz | Schwarz IT | Speaker | Women in Technology Luncheon: How to build your personal strategy into leadership | — |
| Fábio Silva | tb.lx by Daimler Truck | Speaker | HALO Jumping into Flink: Lessons learned from managing real-time data at Daimler Truck | — |
| Filip Yonov | Aiven | Speaker | From Zero to Hero: petabyte-scale Tiered Storage lessons | — |
| Flavius Fernandes | Essent | Speaker | Streamline Access: Just-in-Time User Provisioning & Group Mappings for Confluent Cloud | — |
| Florent Ramiere | Conduktor | Speaker | Observability Made Easy: Unlocking Kafka Client Insights with KIP-714 | — |
| Francesco Tisiot | Aiven | Speaker | From Zero to Hero: petabyte-scale Tiered Storage lessons | — |
| Gaurav Narula | Apple | Speaker | Leave Your Passwords Behind: Embracing mTLS in Kafka | — |
| Guillermo Lagunas Pozo | Adidas | Speaker | From days to seconds: adidas' journey to scalable Kafka self-service | — |
| Gunnar Morling | Confluent | Speaker | Ins and Outs of The Outbox Pattern | — |
| Guy Levinhr | Wix | Speaker | Before and After: Transforming Wix’s Online Feature Store with Apache Flink | — |
| H.P. Grahsl | Decodable | Speaker | Simplifying Real-Time Vector Store Ingestion with Apache Flink | — |
| H.P. Grahsl | Decodable | Speaker | Towards Transactional Buffering of Change Data Capture Events | — |
| Hadar Federovsky | Akamai | Speaker | Stream On: From Bottlenecks to Streamline with Kafka Streams Template | — |
| Hanyi Zhang | Speaker | Building a scalable and efficient real-time event counter framework with Flink(SQL) and Kafka | — | |
| Hartmut Armbruster | StoatFlow | Speaker | How Do You Architect a Kafka Streams Topology? | — |
| Heng Zhang | Speaker | FlinkSQL Powered Asynchronous Data Processing in Pinterest’s Rule Engine Platform | — | |
| Heng Zhang | Speaker | Building a scalable and efficient real-time event counter framework with Flink(SQL) and Kafka | — | |
| Holly Smith | Databricks | Speaker | Unlocking Next-Gen Stateful Streaming: Harnessing transformWithState in Apache Spark with Kafka | — |
| Hugo Guerrero | Kong | Speaker | CLI tools you need to know for your everyday Kafka | — |
| Jakob Edding | bakdata | Speaker | Scaling Semantic Search: Apache Kafka Meets Vector Databases | — |
| Jakub Scholz | Red Hat | Speaker | Autoscaling Apache Kafka brokers on Kubernetes with Strimzi | — |
| Javier Hortal Amador | Adidas | Speaker | Kafka Connection Chaos: Surviving the Storm | — |
| Jigar Bhati | OpenAI | Speaker | Taming the Kafka Chaos: How OpenAI Simplifies Kafka Consumption | — |
| Joe Reis | Practical Data | Speaker | Disposable Vibes: Great Pacific Garbage Patch of AI Slopware | — |
| Joey Pereira | OpenAI | Speaker | Building Stream Processing Platform at OpenAI | — |
| Jonathan Michaux | Gravitee | Speaker | Let's add Kafka support to the Kubernetes Gateway API. | — |
| Jose Manuel Cristobal | Adidas | Speaker | From days to seconds: adidas' journey to scalable Kafka self-service | — |
| Jungwook Song | SPITHA INC | Speaker | Don't Judge the Consumer by Its Lag: Uncovering the Metrics That Truly Matter | — |
| Kate Stanley | IBM | Speaker | Migrating Kafka from ZooKeeper to KRaft: adventures in operations | — |
| Lianet Magrans | Confluent | Speaker | Kafka Consumer 4.0 - Major version, major improvements, get to know it all | — |
| Loïc Greffier | Michelin | Speaker | Processing Exception Handling and Dead Letter Queue in Kafka Streams | — |
| Lorenzo Nicora | Amazon Web Services | Speaker | Flink, Kafka and Prometheus: better together to improve efficiency of your observability platform | — |
| Luca Magnoni | Alpian | Speaker | Secure Streaming RAG: AI in Regulated FinTech | — |
| Lucas Brutschy | Confluent | Speaker | No More Hiding: Kafka Streams as a First-Class Citizen in the Kafka Protocol | — |
| Luis García Castro | ING | Speaker | Exactly-Once vs. Idempotency: When Misconceptions Create Complexity | — |
| Marcos Maia | Bitvavo | Speaker | Taming the Data Beast: Processing real time Market Data by a Crypto Exchange | — |
| Marie-Laure Momplot | Michelin | Speaker | Massive Kafka Streams Topology Revamp in Production: No Chaos, No Headaches! My Key Takeaways 🦾! | — |
| Matthias Sax | Confluent | Speaker | One Client to Rule them all | — |
| Mehmetcan Güleşçi | Trendyol | Speaker | Ensuring Client Continuity in Kafka: High Availability in Confluent Kafka | — |
| Michael Drogalis | ShadowTraffic | Speaker | Kafka productivity tools in the age of AI | — |
| Mike Araujo | Medidata Solutions | Speaker | Unified CDC Ingestion and Processing with Apache Flink and Iceberg | — |
| Nagashree B | Fidelity Investments | Speaker | Global Schema Registry: Door to Data Catalog | — |
| Nat Wilson | OpenAI | Speaker | Changing engines mid-flight: Kafka migrations at OpenAI | — |
| Neil Buesing | Raft | Speaker | Bite Size Streams: Learning Advanced Kafka Streams Concepts One Simple Topology at a Time | — |
| Nemanja Milicevic | SmartCat | Speaker | The Silent Migration: How Kafka Streams Became Our Safety Net | — |
| Olena Kutsenko | Confluent | Speaker | The art of structuring real-time data streams into actionable insights | — |
| Oscar Caraballo | ING | Speaker | Exactly-Once vs. Idempotency: When Misconceptions Create Complexity | — |
| Paolo Patierno | IBM | Speaker | Migrating Kafka from ZooKeeper to KRaft: adventures in operations | — |
| Paul Brebner | NetApp | Speaker | Towards an Open Apache Kafka Performance Model | — |
| Pawel Leszczynski | GetInData | Speaker | Native Data Lineage Support in Apache Flink with OpenLineage | — |
| Pedro Mázala | Evoura | Speaker | Flink & Metered Billing - a reprocessing story | — |
| Peter Marshall | Imply | Speaker | Apache Kafka: meet Apache Druid DART | — |
| Radhika Kapur | Confluent | Speaker | Women in Technology Luncheon: How to build your personal strategy into leadership | — |
| Rafael García | Adidas | Speaker | Kafka Connection Chaos: Surviving the Storm | — |
| Raphael Lachtner | bakdata | Speaker | Scaling Semantic Search: Apache Kafka Meets Vector Databases | — |
| Richmond Alake | MongoDB | Speaker | Event-Driven AI: Real-Time Intelligence with Open Source Frameworks | — |
| Robin Sutara | Databricks | Speaker | Women in Technology Luncheon: How to build your personal strategy into leadership | — |
| Rohan Desai | Responsive | Speaker | Into the Otter-Verse: Using time-travel to transform Kafka Streams development and operations. | — |
| Rohit Shrivastava | Confluent | Speaker | Kafka 4.0: Preparing Platform Teams for KIP-896 | — |
| Roisin McCarthy | Women in Data | Speaker | Women in Technology Luncheon: How to build your personal strategy into leadership | — |
| Roman Kolesnev | Streambased | Speaker | Melting Icebergs: Enabling Analytical Access to Kafka Data through Iceberg Projections | — |
| Rong Xie | Speaker | FlinkSQL Powered Asynchronous Data Processing in Pinterest’s Rule Engine Platform | — | |
| Sandon Jacobs | Confluent | Speaker | Zero to Data Streaming Platform in Under 15 Minutes | — |
| Sandon Jacobs | Confluent | Speaker | Closing Session and Raffle! 🎉 | — |
| Sarthak Jain | Speaker | Unified Schema Registry: Ensure schema consistency across data systems | — | |
| Sean Falconer | Confluent | Speaker | The Future of AI is Event-Driven | — |
| Sébastien Viale | Michelin | Speaker | Optimizing Kafka Streams Joins for Business-Critical Processes | — |
| Sébastien Viale | Michelin | Speaker | Processing Exception Handling and Dead Letter Queue in Kafka Streams | — |
| Sergey Zyrianov | Cisco | Speaker | Tick-Tock with Kafka: Building Scalable Timer Functionality for Microservices | — |
| Sharon Xie | Decodable | Speaker | Unified CDC Ingestion and Processing with Apache Flink and Iceberg | — |
| Shuyi Chen | OpenAI | Speaker | Building Stream Processing Platform at OpenAI | — |
| Siddharth Bedekar | Confluent | Speaker | Continuous forecasting and anomaly detection with Flink SQL | — |
| Simon Whiteley | Advancing Analytics | Speaker | Real-Time AI, Done Right: The Power of Kafka & Delta Live Tables | — |
| Sophie Blee-Goldman | Responsive | Speaker | Async Processing: Get any Kafka Streams app into the throughput Olympics | — |
| Souman Mandal | Speaker | Unified Schema Registry: Ensure schema consistency across data systems | — | |
| Steffen Hoellinger | Airy | Speaker | Flink Jobs as Agents 🤖 – Unlocking Agentic AI with Stream Processing | — |
| Stephane Derosiaux | Conduktor | Speaker | Why Kafka is always late? Is that really a problem? | — |
| Sujay Jain | Netflix | Speaker | Democratising Stream Processing: How Netflix Empowers Teams with Data Mesh and Streaming SQL | — |
| Tal Sheldon | Wix | Speaker | Before and After: Transforming Wix’s Online Feature Store with Apache Flink | — |
| Thomas Iffland | Thinkport | Speaker | For the brave ones: Dive into the Kafka wire protocol | — |
| Timo Walther | Confluent | Speaker | Flink SQL Revolutions: Breaking Out of the Matrix with PTFs | — |
| Tom Scott | Streambased | Speaker | Melting Icebergs: Enabling Analytical Access to Kafka Data through Iceberg Projections | — |
| Viktor Gamov | Confluent | Speaker | Stream Processing Smackdown: Kafka Streams vs. Apache Flink | — |
| Wayne Yeung | BEC Financial Technologies a.m.b.a | Speaker | Modernizing Core Banking Platform: Real-Time Data Streaming from Mainframe to Salesforce | — |
| Will Martin | Dremio | Speaker | Streaming with Apache Iceberg | — |
| Yalın Doğu Şahin | DSM GRUP DANIŞMANLIK İLETİŞİM VE SATIŞ TİCARET ANONİM ŞİRKETİ | Speaker | Ensuring Client Continuity in Kafka: High Availability in Confluent Kafka | — |
| Yingjun Wu | RisingWave Labs | Speaker | Stream Processing and Cascading Materialized Views: Why, How, and What | — |
| Yulia Antonovsky | Akamai | Speaker | Stream On: From Bottlenecks to Streamline with Kafka Streams Template | — |
Sources
- https://current.confluent.io/past-events
- https://web.archive.org/web/20250515151615/https://current.confluent.io/london
- https://web.archive.org/web/20250501133256/https://current.confluent.io/london/sponsors
- https://web.archive.org/web/20260310120826/https://current.confluent.io/london
- https://confluent.swoogo.com/currentlondon/agenda