Data & AI Platform · confluent.io
Confluent
13 verified customer use cases (100% with quantified ROI · Avg Value Score 85.8 · 100% with mapped architecture components).
- Verified stories
- 13
- Quantified ROI
- 100%
- Avg value score
- 85.8
- Industries served
- 9
- Distinct products
- 24
Architecture Stack Signature
6-Layer Production Component Breakdown
Apache Flink 3 AWS Wavelength 1 Amazon SageMaker 1
Amazon S3 2 Snowflake 2 ClickHouse 1
Schema Registry 4 Stream Governance 1 Stream Lineage 1
Cluster Linking 1 Confluent Cloud 1 Kafka Connect 1
Azure Open AI services 1 Kora 1
Apache Kafka 1
Product & Model Ecosystem
Most Deployed Products & Co-occurring Pairs
Top named products & AI models
Confluent Cloud 11 Schema Registry 4 Apache Flink 3 Amazon S3 2 Confluent 2 Snowflake 2 AWS Wavelength 1 Amazon SageMaker 1
Most frequent co-deployed product pairs
- Confluent Cloud + Schema Registry 4 stories
- Amazon S3 + Confluent Cloud 2 stories
- Amazon S3 + Snowflake 2 stories
- Apache Flink + Confluent Cloud 2 stories
- Confluent Cloud + Snowflake 2 stories
Adoption Footprint
Sector, Region & Organization Scale
Top adopting industries
Geographic footprint
- Global / Multi-region 6 (46%)
- Asia-Pacific 3 (23%)
- Europe 2 (15%)
- North America 2 (15%)
Organization scale
- Enterprise 10 (77%)
- Mid-market 1 (8%)
- Public sector 1 (8%)
- SMB 1 (8%)
Verified Business Impact
Outcome Categories & Customer ROI Proof
Primary outcome drivers
Confluent Sample Archived · Dec 17, 2025 Getir Getir needed to replace a distributed monolith, synchronous service calls, and stale ETL-fed machine learning data so rapid-commerce teams could scale checkout, discovery, and logistics without cascade failures. 40 million people Apache Flink · Confluent Cloud Confluent Sample Archived · Aug 21, 2025 Palmerston North City Council Palmerston North City Council needed to break data out of spreadsheets and siloed on-premises systems so citizen services, regulatory workflows, and AI initiatives could run on trusted real-time information instead of… around 25 manual steps Confluent Cloud · Schema Registry Confluent Sample Archived · Jul 31, 2025 Wix Wix needed a streaming architecture that could keep up with billions of daily business events, expose fresher analytics to internal and external developers, and eliminate batch and Kafka operations bottlenecks. more than 30 billion daily business events ClickHouse · Confluent Cloud · Confluent Cloud for Apache Flink Confluent Sample Archived · Jul 22, 2025 Flix Flix needed to stop spending engineering time on self-hosted Kafka so it could move travel data in real time, reduce latency into analytical stores, and accelerate product delivery for booking, fraud, and arrival use… 0.9 million rides per day Amazon S3 · Cluster Linking · Confluent Cloud Confluent Sample Archived · May 13, 2025 Notion Notion's legacy event-logging architecture could not scale with rapid user growth, online indexing, AI features, and multi-destination integrations without driving up tooling costs and distracting a lean engineering… 100% of their time Amazon S3 · Confluent Cloud · Schema Registry Confluent Sample Archived · Apr 24, 2025 Swiggy Swiggy needed to replace self-managed Kafka so it could scale delivery operations, predictions, and recommendations during peak demand without spending engineering time on infrastructure management. 680 cities Apache Flink · Confluent Confluent Sample Archived · Nov 7, 2024 Zyte Zyte needed to launch an AI-enabled web data extraction service quickly, with low-latency streaming and minimal operational overhead, while a small distributed team moved core infrastructure to the cloud. 100% uptime Confluent Cloud · Google Cloud SQL · Google Compute Engine Confluent Sample Archived · Oct 31, 2024 GEP Worldwide GEP needed to replace delayed batch reporting and self-managed Kafka so its supply-chain and procurement platform could deliver real-time insights, connect data across systems, and feed AI services without growing… 1,400% earlier Azure Open AI services · Confluent · pre-built, fully managed connectors Confluent Sample Archived · Aug 16, 2024 Sencrop Sencrop needed a richer, easier-to-run streaming platform so a small engineering team could process IoT and forecast data in real time for farmers without self-managing Kafka incidents. 35,000 Internet of Things (IoT) weather stations Apache Flink · Confluent Cloud · Databricks Confluent Sample Archived · Mar 3, 2024 SumUp SumUp's centralized data platform had become a bottleneck, leaving teams waiting for pipelines, reports, and analytics while siloed systems made it difficult to provide merchants with better real-time products and… 36 markets worldwide Confluent Cloud · Kafka Connect · Schema Registry Confluent Sample Archived · Mar 3, 2024 Meesho Meesho's rapid growth and peak-sale traffic overwhelmed its self-managed Kafka infrastructure, creating downtime risk, limiting throughput, and preventing the company from using customer and purchase data in real time… 1 million requests per second Confluent Cloud Confluent Sample Archived · Dec 5, 2023 DISH Wireless DISH Wireless needed to turn massive 5G network telemetry into developer-accessible data products, but traditional telco infrastructure kept operations and analytics locked in proprietary systems, making it hard to… more than 73% of the United States AWS Wavelength · Amazon SageMaker · Apache Kafka Confluent Sample Archived · Oct 1, 2023 ACERTUS ACERTUS needed to integrate multiple monolithic business units and eliminate slow manual handoffs so vehicle transport, title, storage, and customer updates could happen in real time instead of through fragmented,… 5,000 schemas Confluent Cloud · Schema Registry · Snowflake sink connector