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| { |
| "link": "https://www.nytimes.com", |
| "logo": "NYT.jpg", |
| "logoBgColor": "#FFFFFF", |
| "description": "<a href='https://open.nytimes.com/publishing-with-apache-kafka-at-the-new-york-times-7f0e3b7d2077'>The New York Times uses Apache Kafka </a>and the Kafka Streams API to store and distribute, in real-time, published content to the various applications and systems that make it available to the readers." |
| }, { |
| "link": "http://pinterest.com", |
| "logo": "pinterest.png", |
| "logoBgColor": "#ffffff", |
| "description": "<a href='https://medium.com/@Pinterest_Engineering/using-kafka-streams-api-for-predictive-budgeting-9f58d206c996'>Pinterest uses Apache Kafka and the Kafka Streams API</a> at large scale to power the real-time, predictive budgeting system of their advertising infrastructure. With Kafka Streams, spend predictions are more accurate than ever." |
| }, { |
| "link": "http://www.zalando.com", |
| "logo": "zalando.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "As the leading online fashion retailer in Europe, Zalando uses Kafka as an ESB (Enterprise Service Bus), which helps us in transitioning from a monolithic to a micro services architecture. Using Kafka for processing <a href 'https://kafka-summit.org/sessions/using-kstreams-ktables-calculate-real-time-domain-rankings/' target=blank'> event streams</a> enables our technical team to do near-real time business intelligence." |
| }, { |
| "link": "https://linecorp.com/", |
| "logo": "line.png", |
| "logoBgColor": "#00b900", |
| "description": "LINE uses Apache Kafka as a central datahub for our services to communicate to one another. Hundreds of billions of messages are produced daily and are used to execute various business logic, threat detection, search indexing and data analysis. LINE leverages Kafka Streams to reliably transform and filter topics enabling sub topics consumers can efficiently consume, meanwhile retaining easy maintainability thanks to its sophisticated yet minimal code base." |
| }, { |
| "link": "https://www.rabobank.com", |
| "logo": "rabobank.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "Rabobank is one of the 3 largest banks in the Netherlands. Its digital nervous system, the Business Event Bus, is powered by Apache Kafka. It is used by an increasing amount of financial processes and services, one which is Rabo Alerts. This service alerts customers in real-time upon financial events and is built using Kafka Streams." |
| }, { |
| "link": "http://addthis.com/", |
| "logo": "addthis.png", |
| "logoBgColor": "#ffffff", |
| "description": "Apache Kafka is used at AddThis to collect events generated by our data network and broker that data to our analytics clusters and real-time web analytics platform." |
| }, { |
| "link": "https://www.adidas-group.com/", |
| "logo": "adidas.png", |
| "logoBgColor": "#ffffff", |
| "description": "adidas uses Kafka as the core of Fast Data Streaming Platform, integrating source systems and enabling teams to implement real-time event processing for monitoring, analytics and reporting solutions." |
| }, { |
| "link": "https://www.agoda.com/", |
| "logo": "agoda.png", |
| "logoBgColor": "#ffffff", |
| "description": "Apache Kafka powers the backbone of Agoda's data pipeline with trillions of events streaming through daily across multiple data centers. The majority of the events are destined for analytical systems and directly influence business decisions at one of the world’s fastest growing online travel booking platforms." |
| }, { |
| "link": "http://www.amadeus.com", |
| "logo": "amadeus.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "Apache Kafka is used for both real-time and batch data processing, and is the chosen event log technology for Amadeus microservice-based streaming applications. Kafka is also used for operational use cases such as application logs collection." |
| }, { |
| "link": "http://www.airbnb.com/", |
| "logo": "airbnb.png", |
| "logoBgColor": "#ffffff", |
| "description": "Used in our event pipeline, exception tracking & more to come." |
| }, { |
| "link": "http://www.ancestry.com/", |
| "logo": "ancestry.svg", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is used as the <a href='http://blogs.ancestry.com/techroots/on-track-to-data-driven' target='_blank'>event log processing pipeline </a>for delivering better personalized product and service to our customers." |
| }, { |
| "link": "http://www.ants.vn/", |
| "logo": "ants.png", |
| "logoBgColor": "#ffffff", |
| "description": "Ants.vn use Kafka in production for stream processing and log transfer (over 5B messages/month and growing)" |
| }, { |
| "link": "https://www.bandwidth.com/", |
| "logo": "bandwidth.png", |
| "logoBgColor": "#ffffff", |
| "description": "<a href='https://www.bandwidth.com/' target='_blank'>Bandwidth</a> uses Kafka in their Communications Platform to process call and message data records for billing and data analytics. Kafka also powers Bandwidth application metrics, system metrics and log aggregation pipelines. " |
| }, { |
| "link": "https://boundary.com/", |
| "logo": "boundary.gif", |
| "logoBgColor": "#ffffff", |
| "description": "Apache Kafka aggregates high-flow message streams into a unified distributed pubsub service, brokering the data for other internal systems as part of Boundary's real-time network analytics infrastructure." |
| }, { |
| "link": "https://www.box.com/", |
| "logo": "box.png", |
| "logoBgColor": "#ffffff", |
| "description": "At Box, Kafka is used for the production analytics pipeline & real time monitoring infrastructure. We are planning to use Kafka for some of the new products & features" |
| }, { |
| "link": "http://www.cerner.com/", |
| "logo": "cerner.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is used with HBase and Storm as described <a href='http://blog.cloudera.com/blog/2014/11/how-cerner-uses-cdh-with-apache-kafka/' target='_blank'here.</a>" |
| }, { |
| "link": "https://www.coursera.org/", |
| "logo": "coursera.png", |
| "logoBgColor": "#ffffff", |
| "description": "At Coursera, Kafka powers education at scale, serving as the data pipeline for realtime learning analytics/dashboards." |
| }, { |
| "link": "https://www.cloudflare.com/", |
| "logo": "cloudfare.png", |
| "logoBgColor": "#ffffff", |
| "description": "CloudFlare uses Kafka for our log processing and analytics pipeline, collecting hundreds of billions of events/day data from a thousands of servers." |
| }, { |
| "link": "http://www.cloudphysics.com/", |
| "logo": "cloudphysics.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is powering our high-flow event pipeline that aggregates over 1.2 billion metric series from 1000+ data centers for near-to-real time data center operational analytics and modeling" |
| }, { |
| "link": "http://www.cisco.com/", |
| "logo": "cisco.png", |
| "logoBgColor": "#ffffff", |
| "description": "Cisco is using Kafka as part of their OpenSOC (Security Operations Center). More details <a href='http://opensoc.github.io/' target='_blank'here.</a>" |
| }, { |
| "link": "http://www.cityzendata.com/", |
| "logo": "cityzen.png", |
| "logoBgColor": "#ffffff", |
| "description": "Cityzen Data uses Kafka as well, we provide a platform for collecting, storing and analyzing machine data." |
| }, { |
| "link": "http://www.criteo.com/", |
| "logo": "criteo.jpeg", |
| "logoBgColor": "#ffffff", |
| "description": "Criteo uses Kafka as well, we provide a platform for collecting, storing and analyzing machine data." |
| }, { |
| "link": "https://www.cj.com/", |
| "logo": "CJ_Affiliate.png", |
| "logoBgColor": "#ffffff", |
| "description": "Apache Kafka is used at CJ Affiliate to process many of the key events driving our core product. Nearly every aspect of CJ's products and services currently benefit from the speed and stability this provides; additionally, Apache Kafka is one of the key technologies enabling CJ's upcoming real-time Insights & Analytics platform." |
| }, { |
| "link": "http://datasift.com/", |
| "logo": "datasift.png", |
| "logoBgColor": "#ffffff", |
| "description": "Apache Kafka is used at DataSift as a collector of monitoring events and to track user's consumption of data streams in real time. <a href='http://highscalability.com/blog/2011/11/29/datasift-architecture-realtime-datamining-at-120000-tweets-p.html' target='_blank'>DataSift architecture</a>" |
| }, { |
| "link": "http://datadog.com/", |
| "logo": "datadog.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka brokers data to most systems in our metrics and events ingestion pipeline. Different modules contribute and consume data from it, for streaming CEP (homegrown), persistence (at different "atemperatures"a in Redis, ElasticSearch, Cassandra, S3), or batch analysis (Hadoop)." |
| }, { |
| "link": "https://developer.ibm.com/messaging/message-hub/", |
| "logo": "ibmmessagehub.png", |
| "logoBgColor": "#1e3648", |
| "description": "The Message Hub service in our Bluemix PaaS offers Kafka-based messaging in a multi-tenant, pay-as-you-go public cloud. It's intended to provide messaging services for microservices, event-driven processing and streaming data in to analytics systems." |
| }, { |
| "link": "https://empathy.micronauticsresearch.com/", |
| "logo": "robotCircle.png", |
| "logoBgColor": "#ffffff", |
| "description": "<a href 'https://empathy.micronauticsresearch.com/' target=blank'> EmpathyWorks</a> is a framework for simulating and analyzing networks of artificial personalities." |
| }, { |
| "link": "https://www.etsy.com/", |
| "logo": "etsy.png", |
| "logoBgColor": "#ffffff", |
| "description": "See <a href='http://siliconangle.com/blog/2015/08/11/etsy-going-all-in-with-kafka-as-dataflow-pipeline-hpbigdata15/' target='_blank'>this article</a>." |
| }, { |
| "link": "http://www.exponential.com/", |
| "logo": "exponential.png", |
| "logoBgColor": "#ffffff", |
| "description": "Exponential is using Kafka in production to power the events ingestion pipeline for real time analytics and log feed consumption." |
| }, { |
| "link": "https://www.exoscale.ch/", |
| "logo": "exoscale.png", |
| "logoBgColor": "#ffffff", |
| "description": "Exoscale uses Kafka in production." |
| }, { |
| "link": "https://eng.uber.com/", |
| "logo": "uber.png", |
| "logoBgColor": "#ffffff", |
| "description": "Apache Kafka is a core part of Uber’s overall infrastructure stack and powers various online & near realtime use-cases." |
| }, { |
| "link": "http://emergingthreats.net/", |
| "logo": "emergingthreats.png", |
| "logoBgColor": "#ffffff", |
| "description": "Emerging threats uses Kafka in our event pipeline to process billions of malware events for search indices, alerting systems, etc." |
| }, { |
| "link": "http://foursquare.com/", |
| "logo": "foursquare.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka powers online to online messaging, and online to offline messaging at Foursquare. We integrate with monitoring, production systems, and our offline infrastructure, including hadoop." |
| }, { |
| "link": "http://www.flyhajj.com/", |
| "logo": "flyhajj.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka to collect all metrics and events generated by the users of the website." |
| }, { |
| "link": "http://www.goldmansachs.com/", |
| "logo": "goldmansachs.jpg", |
| "logoBgColor": "#64a8f1", |
| "description": "<a href='http://www.goldmansachs.com/' target='_blank'>www.goldmansachs.com</a>" |
| }, { |
| "link": "http://gnip.com/", |
| "logo": "gnip.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is used in their twitter ingestion and processing pipeline." |
| }, { |
| "link": "http://graylog2.org/", |
| "logo": "graylog2.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "Graylog2 is a free and open source log management and data analysis system. It's using Kafka as default transport for Graylog2 Radio. The use case is described <a href='http://support.torch.sh/help/kb/graylog2-server/using-graylog2-radio-v020x' target='_blank'here</a>." |
| }, { |
| "link": "https://www.hackerrank.com/", |
| "logo": "hacker.png", |
| "logoBgColor": "#ffffff", |
| "description": "HackerRank uses Kafka as events as a service platform. We publish all the internal activity on our infrastructure into Kafka, and a wide range of internal services subscribe to it." |
| }, { |
| "link": "http://www.hotels.com/", |
| "logo": "hotels.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "Hotels.com uses Kafka as pipeline to collect real time events from multiple sources and for sending data to HDFS." |
| }, { |
| "link": "http://helprace.com/help-desk", |
| "logo": "helprace.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is used as a distributed high speed message queue in our help desk software as well as our real-time event data aggregation and analytics." |
| }, { |
| "link": "http://helpshift.com/", |
| "logo": "helpshift.png", |
| "logoBgColor": "#ffffff", |
| "description": "Produces billions of events with Kafka through an erlang based producer ekaf that supports 8.0, and consumes topics primarily with storm and clojure." |
| }, { |
| "link": "http://homeadvisor.com/", |
| "logo": "homeadvisor.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka for logging and async event processing, among other uses." |
| }, { |
| "link": "http://www.ifttt.com/", |
| "logo": "ifttt.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka to ingest real-time log and tracking data for analytics, dashboards, and machine learning." |
| }, { |
| "link": "http://www.infochimps.com/", |
| "logo": "infochimps.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is part of the <a href='http://blog.infochimps.com/2012/10/30/next-gen-real-time-streaming-storm-kafka-integration' target='_blank'>InfoChimps real-time data platform</a>." |
| }, { |
| "link": "http://www.ipinyou.com.cn/?defaultLocale=en", |
| "logo": "ipinyou.png", |
| "logoBgColor": "#ffffff", |
| "description": "The largest DSP in China which has its HQ in Beijing and offices in Shanghai, Guangzhou, Silicon Valley and Seattle. Kafka clusters are the central data hub in iPinYou. All kinds of Internet display advertising data, such as bid/no-bid, impression, click, advertiser, conversion and etc., are collected as primary data streams into Kafka brokers in real time, by LogAggregator (a substitute for Apache Flume, which is implemented in C/C++ by iPinYou, has customized functionality, better performance, lower resource-consuming)." |
| }, { |
| "link": "http://linkedin.com", |
| "logo": "linkedin.jpg", |
| "logoBgColor": "#007bb6", |
| "description": "Apache Kafka is used at LinkedIn for activity stream data and operational metrics. This powers various products like LinkedIn Newsfeed, LinkedIn Today in addition to our offline analytics systems like Hadoop." |
| }, { |
| "link": "http://www.liveperson.com/", |
| "logo": "liveperson.png", |
| "logoBgColor": "#ffffff", |
| "description": "Using Kafka as the main data bus for all real time events." |
| }, { |
| "link": "http://www.linksmart.com/", |
| "logo": "linksmart.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is used at LinkSmart as an event stream feeding Hadoop and custom real time systems." |
| }, { |
| "link": "http://www.lucidworks.com/products/lucidworks-big-data", |
| "logo": "lucidworks.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka for syncing LucidWorks Search (Solr) with incoming data from Hadoop and also for sending LucidWorks Search logs back to Hadoop for analysis." |
| }, { |
| "link": "http://loggly.com/", |
| "logo": "loggly.png", |
| "logoBgColor": "#ffffff", |
| "description": "Loggly is the world's most popular cloud-based log management. Our cloud-based log management service helps DevOps and technical teams make sense of the the massive quantity of logs. Kafka is used as part of our <a href='http://www.loggly.com/behind-the-screens' target='_blank'log collection and processing infrastructure.</a>" |
| }, { |
| "link": "http://web.livefyre.com/", |
| "logo": "livefyre.png", |
| "logoBgColor": "#ffffff", |
| "description": "Livefyre uses Kafka for the real time notifications, analytics pipeline and as the primary mechanism for general pub/sub." |
| }, { |
| "link": "https://mailchimp.com/", |
| "logo": "mailchimp.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka powers MailChimp’s data pipeline that in turn powers <a href='https://mailchimp.com/pro/' target=blank'>MailChimp Pro</a>, as well as an increasing number of other product features. You can read some of the details <a href='https://devs.mailchimp.com/blog/powering-mailchimp-pro-reporting/' target=blank'>here</a>." |
| }, { |
| "link": "http://www.mate1.com/about", |
| "logo": "mate1.png", |
| "logoBgColor": "#000000", |
| "description": "Apache kafka is used at Mate1 as our main event bus that powers our news and activity feeds, automated review systems, and will soon power real time notifications and log distribution." |
| }, { |
| "link": "http://metamarkets.com/", |
| "logo": "metamarkets.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka to ingest real-time event data, stream it to Storm and Hadoop, and then serve it from our Druid cluster to feed our interactive analytics dashboards. We've also built connectors for directly ingesting events from Kafka into Druid." |
| }, { |
| "link": "https://www.moesif.com ", |
| "logo": "moesif.png", |
| "logoBgColor": "#ffffff", |
| "description": "Moesif (an API analytics service) uses Kafka to power our pipeline to enrich large amounts of API event data. It's used as our backbone to ship that data to multiple data centers and services. It’s one of the most rock stable open source software out there for anyone in data processing." |
| }, { |
| "link": "http://mozilla.org/", |
| "logo": "mozilla.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka will soon be replacing part of our current production system to collect performance and usage data from the end-users browser for projects like Telemetry, Test Pilot, etc. Downstream consumers usually persist to either HDFS or HBase." |
| }, { |
| "link": "http://netflix.com", |
| "logo": "netflix.png", |
| "logoBgColor": "#FFFFFF", |
| "description": "Real-time monitoring and event-processing <a href='http://techblog.netflix.com/2016/04/kafka-inside-keystone-pipeline.html' target='_blank'>pipeline</a>." |
| }, { |
| "link": "http://www.oracle.com/", |
| "logo": "oracle.png", |
| "logoBgColor": "#ffffff", |
| "description": "Oracle provides native connectivity to Kafka from its Enterprise Service Bus product called OSB (Oracle Service Bus) which allows developers to leverage OSB built-in mediation capabilities to implement staged data pipelines." |
| }, { |
| "link": "http://www.outbrain.com/", |
| "logo": "outbrain.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka in production for real time log collection and processing, and for cross-DC cache propagation." |
| }, { |
| "link": "http://www.oracle.com/technetwork/middleware/goldengate/overview/index.html", |
| "logo": "oraclegoldengate.png", |
| "logoBgColor": "#ffffff", |
| "description": "GoldenGate offers a comprehensive solution that streams transactional data from various sources into various big data targets including Kafka in real-time, enabling organizations to build fault -tolerant, highly reliable, and extensible analytical applications." |
| }, { |
| "link": "http://www.ooyala.com/", |
| "logo": "ooyala.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is used as the primary high speed message queue to power Storm and our real-time analytics/event ingestion pipelines." |
| }, { |
| "link": "http://www.ovh.com/us/index.xml", |
| "logo": "ovh.png", |
| "logoBgColor": "#ffffff", |
| "description": "OVH uses Kafka in production for over a year now using it for event bus, data pipeline for antiddos and more to come." |
| }, { |
| "link": "http://www.parsely.com/", |
| "logo": "parsely.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is used for all <a href='http://www.parsely.com/misc/slides/logs/#1' target=_blank'>data integration </a> of analytics event data." |
| }, { |
| "link": "http://www.paypal.com/", |
| "logo": "paypal.png", |
| "logoBgColor": "#ffffff", |
| "description": "See <a href='https://github.com/paypal/couchbasekafka' target='_blank'>this</a>." |
| }, { |
| "link": "http://www.portoseguro.com.br/", |
| "logo": "porto-seguro.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka in production for online and near real-time solutions. Kafka is a core part for many products, such as our Credit Card System." |
| }, { |
| "link": "http://quixey.com/", |
| "logo": "quixey.png", |
| "logoBgColor": "#ffffff", |
| "description": "At Quixey, The Search Engine for Apps, Kafka is an integral part of our eventing, logging and messaging infrastructure." |
| }, { |
| "link": "http://www.retentionscience.com/", |
| "logo": "retentionscience.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "Click stream ingestion and processing." |
| }, { |
| "link": "http://www.richrelevance.com/", |
| "logo": "richrelevance.png", |
| "logoBgColor": "#ffffff", |
| "description": "Real-time tracking event pipeline." |
| }, { |
| "link": "http://sematext.com/", |
| "logo": "sematext.png", |
| "logoBgColor": "#ffffff", |
| "description": "In <a href='http://sematext.com/spm' target='_blank'SPM</a> (performance monitoring + alerting), Kafka is used for metrics collection and feeds SPM's in-memory data aggregation (OLAP cube creation) as well as our CEP/Alerts servers (see also: <a href='http://blog.sematext.com/2013/10/16/announcement-spm-performance-monitoring-for-kafka/' target=_blank'>SPM for Kafka performance monitoring</a>). In <a href='http://sematext.com/search-analytics' target='_blank'>SA (search analytics)</a> Kafka is used in search and click stream collection before being aggregated and persisted. In <a href='http://sematext.com/logsene' target='_blank'Logsene (log analytics)</a> Kafka is used to pass logs and other events from front-end receivers to the persistent backend." |
| }, { |
| "link": "http://www.skyscanner.net/", |
| "logo": "skyscanner.png", |
| "logoBgColor": "#ffffff", |
| "description": "The world's travel search engine, uses Kafka for real-time log and event ingestion. It is the integration point for of all stream-processing and data transportation services." |
| }, { |
| "link": "http://www.strava.com/", |
| "logo": "strava.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "Powers our analytics pipeline, activity feeds denorm and several other production services." |
| }, { |
| "link": "http://www.swiftkey.net/", |
| "logo": "swiftkey.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Apache Kafka for analytics event processing." |
| }, { |
| "link": "http://square.com", |
| "logo": "square.png", |
| "logoBgColor": "#FFFFFF", |
| "description": "We use Kafka as a bus to move all systems events through our various datacenters. This includes metrics, logs, custom events etc. On the consumer side, we output into Splunk, Graphite, Esper-like real-time alerting." |
| }, { |
| "link": "http://spotify.com", |
| "logo": "spotify.png", |
| "logoBgColor": "#1ed760", |
| "description": "Kafka is used at Spotify as part of their log <a href='http://www.meetup.com/stockholm-hug/events/121628932' target='_blank'>delivery system</a>." |
| }, { |
| "link": "http://www.stumbleupon.com/", |
| "logo": "stumbleupon.png", |
| "logoBgColor": "#eb4924", |
| "description": "Data collection platform for analytics." |
| }, { |
| "link": "http://www.shopify.com/", |
| "logo": "shopify.png", |
| "logoBgColor": "#ffffff", |
| "description": "Access logs, A/B testing events, domain events ("a checkout happened", etc.), metrics, delivery to HDFS, and customer reporting. We are now focusing on consumers: analytics, support tools, and fraud analysis." |
| }, { |
| "link": "http://www.socialtwist.com/", |
| "logo": "socialtwist.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka internally as part of our reliable email queueing system." |
| }, { |
| "link": "http://www.spongecell.com/", |
| "logo": "spongecell.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka to run our entire analytics and monitoring pipeline driving both real-time and ETL applications for our customers." |
| }, { |
| "link": "https://www.simple.com/", |
| "logo": "simple.gif", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka at Simple for log aggregation and to power our analytics infrastructure." |
| }, { |
| "link": "http://www.tagged.com/", |
| "logo": "tagged.png", |
| "logoBgColor": "#ffffff", |
| "description": "Apache Kafka drives our new pub sub system which delivers real-time events for users in our latest game - Deckadence. It will soon be used in a host of new use cases including group chat and back end stats and log collection." |
| }, { |
| "link": "https://www.tokenanalyst.io/", |
| "logo": "tokenanalyst.png", |
| "logoBgColor": "#ffffff", |
| "description": "At TokenAnalyst, we’re using Kafka for ingestion of blockchain data—which is directly pushed from our cluster of Bitcoin and Ethereum nodes—to different streams of transformation and loading processes." |
| }, { |
| "link": "https://www.tumblr.com/", |
| "logo": "tumblr.png", |
| "logoBgColor": "#5eba8c", |
| "description": "See <a href='http://highscalability.com/blog/2012/2/13/tumblr-architecture-15-billion-page-views-a-month-and-harder.html' target='_blank'>this</a>." |
| }, { |
| "link": "http://twitter.com", |
| "logo": "twitter.jpg", |
| "logoBgColor": "#28a9e2", |
| "description": "As part of their Storm stream processing infrastructure, e.g. <a href='http://engineering.twitter.com/2013/01/improving-twitter-search-with-real-time.html' target='_blank'>this</a> and <a href='https://blog.twitter.com/2015/handling-five-billion-sessions-a-day-in-real-time' target='_blank'>this</a>." |
| }, { |
| "link": "http://www.trivago.com/", |
| "logo": "trivago.png", |
| "logoBgColor": "#ffffff", |
| "description": "Trivago uses Kafka for stream processing in Storm as well as processing of application logs." |
| }, { |
| "link": "http://www.urbanairship.com/", |
| "logo": "urbanairship.png", |
| "logoBgColor": "#ffffff", |
| "description": "At Urban Airship we use Kafka to buffer incoming data points from mobile devices for processing by our analytics infrastructure." |
| }, { |
| "link": "http://www.uswitch.com/", |
| "logo": "uswitch.png", |
| "logoBgColor": "#ffffff", |
| "description": "See <a href='http://oobaloo.co.uk/kafka-for-uswitchs-event-pipeline' target='_blank'>this blog</a>." |
| }, { |
| "link": "http://www.visualrevenue.com/", |
| "logo": "visualrevenue.jpg", |
| "logoBgColor": "#1c1a88", |
| "description": "We use Kafka as a distributed queue in front of our web traffic stream processing infrastructure (Storm)." |
| }, { |
| "link": "http://www.visualdna.com/", |
| "logo": "visualdna.jpg", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka 1. as an infrastructure that helps us bring continuously the tracking events from various datacenters into our central hadoop cluster for offline processing, 2. as a propagation path for data integration, 3. as a real-time platform for future inference and recommendation engines" |
| }, { |
| "link": "http://wooga.com/", |
| "logo": "wooga.png", |
| "logoBgColor": "#ffffff", |
| "description": "We use Kafka to aggregate and process tracking data from all our facebook games (which are hosted at various providers) in a central location." |
| }, { |
| "link": "http://www.wizecommerce.com/", |
| "logo": "wizecommerce.gif", |
| "logoBgColor": "#ffffff", |
| "description": "At Wize Commerce (previously, NexTag), Kafka is used as a distributed queue in front of Storm based processing for search index generation. We plan to also use it for collecting user generated data on our web tier, landing the data into various data sinks like Hadoop, HBase, etc." |
| }, { |
| "link": "http://wikimediafoundation.org/wiki/Our_projects", |
| "logo": "wikimedia.png", |
| "logoBgColor": "#ffffff", |
| "description": "Wikimedia Foundation uses Kafka as a log transport for analytics data from production webservers and applications. This data is consumed into Hadoop using Camus and to other processors of analytics data." |
| }, { |
| "link": "https://www.vividcortex.com/", |
| "logo": "vividcortex.png", |
| "logoBgColor": "#ffffff", |
| "description": "VividCortex uses Kafka in our SaaS MySQL performance management platform to reliably ingest high-volume 1-second timeseries data." |
| }, { |
| "link": "http://xitenetworks.com/", |
| "logo": "xite.png", |
| "logoBgColor": "#ffffff", |
| "description": "Kafka is at the heart of our Data Infrastructure - Business Intelligence, Recommender Systems and Machine Learning solutions are build as reactive and streaming architecture. Also we use Kafka as a great alternative to REST APIs for micro-services integration. This allows us to scale and reliably upgrade micro-services without integration and consistency issues." |
| }, { |
| "link": "http://yahoo.com", |
| "logo": "yahoo.png", |
| "logoBgColor": "#3d018b", |
| "description": "See <a href='http://yahooeng.tumblr.com/post/109994930921/kafka-yahoo' target='_blank'>this</a>." |
| }, { |
| "link": "http://www.yieldbot.com/", |
| "logo": "yieldbot.png", |
| "logoBgColor": "#ffffff", |
| "description": "Yieldbot uses kafka for real-time events, camus for batch loading, and mirrormakers for x-region replication." |
| }, { |
| "link": "http://yellerapp.com/", |
| "logo": "yeller.png", |
| "logoBgColor": "#ffffff", |
| "description": "Yeller uses Kafka to process large streams of incoming exception data for it's customers. Rate limiting, throttling and batching are all built on top of Kafka." |
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