With the arrival of streaming platforms, industries are being rethought with real-time context at the forefront. What was once a ‘batch’ manner of thinking about business is quickly being replaced with streams as real world examples are entering everyday life.
This revolution is transforming industries. What started at companies like LinkedIn, Uber, Netflix and Yelp has made its way to countless others. Today, thousands of companies across the globe build their businesses on top of Apache Kafka. The developers responsible for this revolution need a place to share their experiences on this journey.
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Attunity: Right Data. Right Place. Right Time.
Attunity, a leading provider of data integration and Big Data management software solutions, enables moving, preparing and analyzing data efficiently to increase business productivity and enable better insights for competitive advantage. The company’s high-performance, easy-to-use software solutions include Big Data replication, data warehouse automation, data usage analytics, test data management, data connectivity, and cloud data delivery. For more information, visit our blog or www.attunity.com and join our social communities on: Twitter, Facebook, LinkedIn and YouTube.
Established in 1999, the ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors. Our all-volunteer board oversees more than 350 leading Open Source projects, including Apache HTTP Server — the world’s most popular Web server software.
The ASF provides an established framework for intellectual property and financial contributions that simultaneously limits potential legal exposure for our project committers. Through the ASF’s meritocratic process known as “The Apache Way,” more than 500 individual Members and 4,500 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation’s official user conference, trainings, and expo.
Azul Systems, the industry’s only company exclusively focused on Java and the Java Virtual Machine (JVM), builds fully supported, standards-compliant runtimes that help enable Java-based businesses.
Confluent, founded by the creators of open source Apache KafkaTM, provides the streaming platform that enables enterprises to maximize the value of data. Confluent Platform lets leaders in industries such as retail, logistics, manufacturing, financial services, technology and media, move data from isolated systems into a real-time data pipeline where they can act on it immediately. Backed by Benchmark, Data Collective, Index Ventures and LinkedIn, Confluent is based in Palo Alto, California. To learn more, please visit www.confluent.io. Download Apache Kafka and Confluent Platform at www.confluent.io/download.
Datadog is a SaaS-based monitoring and analytics platform for large-scale applications and infrastructure. Combining real-time metrics from servers, containers, databases, and applications with end-to-end tracing, Datadog delivers actionable alerts and powerful visualizations to provide full-stack observability. Datadog includes over 150 vendor-supported integrations and APM libraries for several languages.
Eventador is a whole-stack Apache Kafka as a service company. We allow you to easily build, deploy, and manage entire end-to-end real-time data pipelines. We enable reduced time to market, easy and reliable deployment, powerful yet easy stream processing, and best in class management and support. Eventador deployments include completely configured Apache Kafka clusters, Apache Storm stream processing, PrestoDB SQL access, a metrics dashboard, management tools, and automatic scaling components built right in. Eventador is perfect for any real-time pub/sub data workload including microservices coordination, distributed async logging, real-time analytics, geo-tracking, intrusion detection, real-time manufacturing, sensor networks and more.
Heroku, a salesforce.com company and industry pioneer in platform as a service, enables developers to build and run applications entirely in the cloud, without the need to purchase or maintain any servers or software. Over four million apps, including ones from Macy’s, Lutron and Lyft, run on Heroku. With support for the most popular languages, an enterprise-class database service, and an add-ons ecosystem featuring over 150 cloud application services, Heroku provides companies from startups to Fortune 500 enterprises with a faster and more effective way to create, deploy and manage apps.
Kinetica addresses today’s data paradigm by bringing Graphics Processing Units (GPUs) to the datacenter. Built from the ground up to scale linearly, Kinetica’s distributed, in-memory database accelerated by GPUs delivers truly real-time actionable intelligence on large, complex and streaming data sets: 100x faster performance at 1/10 of the hardware of traditional databases. Kinetica makes real time a reality. Organizations use Kinetica to simultaneously ingest, explore, analyze and visualize streaming data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue, and improve customer experience. Learn more at kinetica.com.
Lightbend provides the leading Reactive application development platform for building distributed applications and modernizing aging infrastructures. Using microservices and fast data on a message-driven runtime, your applications scale effortlessly on multi-core and cloud computing architectures. Many of the most admired brands around the globe are transforming their businesses with our platform, engaging billions of users every day through software applications that are changing the world.
LinkedIn operates the world’s largest professional network on the Internet with more than 400 million members in over 200 countries and territories. Our highly structured dataset gives our data scientists and researchers the ability to conduct applied research that fuels LinkedIn’s data driven products including our search, social graph and machine learning systems. As a members first organization, LinkedIn keeps member privacy and security at the forefront in all our research.
LinkedIn is the birthplace of Apache Kafka, Apache Samza and many related open source projects. Our Kafka deployment processes more than 1.3 trillion messages per day.
MemSQL delivers the leading database platform for real-time analytics. Global enterprises use MemSQL to achieve peak performance and optimize data efficiency. With the combined power of database, data warehouse, and streaming workloads in one system, MemSQL helps companies anticipate problems before they occur, turn insights into actions, and stay relevant in a rapidly changing world. Visit memsql.com or follow us @memsql.
Microsoft (Nasdaq “MSFT” @microsoft) is the leading platform and productivity company for the mobile-first, cloud-first world and its mission is to empower every person and every organization on the planet to achieve more.
By offering the best of traditional databases as well as the flexibility, scale and performance today’s applications require, we let innovators deploy apps as big as they can possibly dream. From startups to enterprises, for the modern and the mission-critical, MongoDB is the database for giant ideas. For more information, visit www.mongodb.com.
O’Reilly provides technology and business training, knowledge, and insight to help companies succeed in the face of huge economic and technological shifts confronting businesses today. Our unique network of experts and innovators share their knowledge and expertise on the company’s comprehensive training and information platform and at O’Reilly conferences. O’Reilly’s Safari online platform offers live online training, video, and books from 200+ of the world’s best publishers.
SQLstream delivers the only SQL-based stream processing platform for real-time ingestion, analytics, and action. Global enterprises use SQLstream to build streaming applications in minutes, that keep operations running at optimal efficiency, protect systems from security threats, and support real-time customer engagement.
With Kafka and Blaze, companies can go from raw data to insights easily, continuously, and in real time, thus staying relevant and competitive in a fast-changing business environment.