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| <h2>Project and product names using "Spark"</h2> |
| |
| <p>Organizations creating products and projects for use with Apache Spark, along with associated |
| marketing materials, should take care to respect the trademark in “Apache Spark” and its logo. |
| Please refer to <a href="https://www.apache.org/foundation/marks/">ASF Trademarks Guidance</a> and |
| associated <a href="https://www.apache.org/foundation/marks/faq/">FAQ</a> |
| for comprehensive and authoritative guidance on proper usage of ASF trademarks.</p> |
| |
| <p>Names that do not include “Spark” at all have no potential trademark issue with the Spark project. |
| This is recommended.</p> |
| |
| <p>Names like “Spark BigCoProduct” are not OK, as are names including “Spark” in general. |
| The above links, however, describe some exceptions, like for names such as “BigCoProduct, |
| powered by Apache Spark” or “BigCoProduct for Apache Spark”.</p> |
| |
| <p>It is common practice to create software identifiers (Maven coordinates, module names, etc.) |
| like “spark-foo”. These are permitted. Nominative use of trademarks in descriptions is also |
| always allowed, as in “BigCoProduct is a widget for Apache Spark”.</p> |
| |
| <h2>Companies and organizations</h2> |
| |
| <p>To add yourself to the list, please email <code class="language-plaintext highlighter-rouge">dev@spark.apache.org</code> with your organization name, URL, |
| a list of which Spark components you are using, and a short description of your use case.</p> |
| |
| <ul> |
| <li><a href="http://amplab.cs.berkeley.edu">UC Berkeley AMPLab</a> - Big data research lab that |
| initially launched Spark |
| <ul> |
| <li>We’re building a variety of open source projects on Spark</li> |
| <li>We have both graduate students and a team of professional software engineers working on the stack</li> |
| </ul> |
| </li> |
| <li><a href="http://4quant.com">4Quant</a></li> |
| <li><a href="http://www.actnowib.com">Act Now</a> |
| <ul> |
| <li>Spark powers NOW APPS, a big data, real-time, predictive analytics platform. We use Spark SQL, |
| MLlib and GraphX components for both batch ETL and analytics applied to telecommunication data, |
| providing faster and more meaningful insights and actionable data to the operators.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.agilelab.it">Agile Lab</a> |
| <ul> |
| <li>enhancing big data. 360 customer view, log analysis, BI</li> |
| </ul> |
| </li> |
| <li><a href="http://www.taobao.com/">Alibaba Taobao</a> |
| <ul> |
| <li>We built one of the world’s first Spark on YARN production clusters.</li> |
| </ul> |
| </li> |
| <li><a href="http://alluxio.com/">Alluxio</a> |
| <ul> |
| <li>Alluxio, formerly Tachyon, is the world’s first system that unifies disparate storage systems |
| at memory speed.</li> |
| </ul> |
| </li> |
| <li><a href="http://amazon.com">Amazon</a></li> |
| <li><a href="http://www.art.com/">Art.com</a> |
| <ul> |
| <li>Trending analytics and personalization</li> |
| </ul> |
| </li> |
| <li><a href="http://www.asiainfo.com">AsiaInfo</a> |
| <ul> |
| <li>We are using Spark Core, Streaming, MLlib and Graphx. We leverage Spark and Hadoop ecosystem |
| to build cost effective data center solution for our customer in telco industry as well as |
| other industrial sectors.</li> |
| </ul> |
| </li> |
| <li><a href="https://atp.io">atp</a> |
| <ul> |
| <li>Predictive models and learning algorithms to improve the relevance of programmatic marketing.</li> |
| <li>Components used: Spark SQL, MLLib.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.autodesk.com">Autodesk</a></li> |
| <li><a href="http://www.baidu.com">Baidu</a></li> |
| <li><a href="http://www.bakdata.com/">Bakdata</a> – using Spark (and Shark) to perform interactive |
| exploration of large datasets</li> |
| <li><a href="http://www.bigindustries.be/">Big Industries</a> - using Spark Streaming: The |
| Big Content Platform is a business-to-business content asset management service providing a |
| searchable, aggregated source of live news feeds, public domain media and archives of content.</li> |
| <li><a href="http://www.celtra.com">Celtra</a></li> |
| <li><a href="http://www.clearstorydata.com">ClearStory Data</a> – ClearStory’s platform and |
| integrated Data Intelligence application leverages Spark to speed analysis across internal |
| and external data sources, driving holistic and actionable insights.</li> |
| <li><a href="https://www.concur.com">Concur</a> |
| <ul> |
| <li>Spark SQL, MLlib</li> |
| <li>Using Spark for travel and expenses analytics and personalization<</li> |
| </ul> |
| </li> |
| <li><a href="http://www.contentsquare.com">Content Square</a> |
| <ul> |
| <li>We use Spark to regularly read raw data, convert them into Parquet, and process them to |
| create advanced analytics dashboards: aggregation, sampling, statistics computations, |
| anomaly detection, machine learning.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.conviva.com">Conviva</a> – Experience Live |
| <ul> |
| <li>See our talk at <a href="http://ampcamp.berkeley.edu/3/">AmpCamp</a> on how we are |
| <a href="https://www.youtube.com/watch?feature=player_detailpage&v=YaayAatdRNs">using Spark to |
| provide real time video optimization</a></li> |
| </ul> |
| </li> |
| <li><a href="https://www.creditkarma.com/">Credit Karma</a> |
| <ul> |
| <li>We create personalized experiences using Spark.</li> |
| </ul> |
| </li> |
| <li><a href="https://databricks.com">Databricks</a> |
| <ul> |
| <li>Formed by the original creators of Apache Spark, Databricks is working to expand the |
| open source project and simplify big data and machine learning. We’re deeply |
| committed to keeping all our work on Spark open source.</li> |
| <li>We provided a <a href="https://www.databricks.com/product">cloud-optimized platform</a> |
| to run Spark and ML applications on Amazon Web Services and Azure, as well as a comprehensive |
| <a href="https://databricks.com/training">training program</a>.</li> |
| </ul> |
| </li> |
| <li><a href="https://www.datamechanics.co">Data Mechanics</a> |
| <ul> |
| <li>Data Mechanics is a cloud-native Spark platform that can be deployed on a Kubernetes cluster |
| inside its customers AWS, GCP, or Azure cloud environments.</li> |
| <li>Our focus is to make Spark easy-to-use and cost-effective for data engineering workloads. |
| We also develop the free, cross-platform, and partially open-source Spark monitoring tool |
| <a href="https://www.datamechanics.co/delight">Data Mechanics Delight.</a></li> |
| </ul> |
| </li> |
| <li><a href="https://datapipelines.com">Data Pipelines</a> |
| <ul> |
| <li>Build and schedule ETL pipelines step-by-step via a simple no-code UI.</li> |
| </ul> |
| </li> |
| <li><a href="http://dianping.com">Dianping.com</a></li> |
| <li><a href="http://www.drawbrid.ge/">Drawbridge</a></li> |
| <li><a href="http://www.ebay.com/">eBay Inc.</a> |
| <ul> |
| <li>Using Spark core for log transaction aggregation and analytics</li> |
| </ul> |
| </li> |
| <li><a href="http://labs.elsevier.com">Elsevier Labs</a> |
| <ul> |
| <li>Use Case: Building Machine Reading Pipeline, Knowledge Graphs, Content as a Service, Content |
| and Event Analytics, Content/Event based Predictive Models and Big Data Processing.</li> |
| <li>We use Scala and Python over Databricks Notebooks for most of our work.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.eurecom.fr/en">EURECOM</a></li> |
| <li><a href="http://www.exabeam.com">Exabeam</a></li> |
| <li><a href="http://www.faimdata.com/">Faimdata</a> |
| <ul> |
| <li>Build eCommerce and data intelligence solutions to the retail industry on top of |
| Spark/Shark/Spark Streaming</li> |
| </ul> |
| </li> |
| <li><a href="http://falkonry.com">Falkonry</a></li> |
| <li><a href="http://www.flytxt.com">Flytxt</a> |
| <ul> |
| <li>Big Data analytics for subscriber profiling and personalization in telecommunications domain. |
| We are using Spark Core and MLlib.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.jeremyfreeman.net">Freeman Lab at HHMI</a> |
| <ul> |
| <li>We are using Spark for analyzing and visualizing patterns in large-scale recordings of brain |
| activity in real time</li> |
| </ul> |
| </li> |
| <li><a href="http://www.fundacionctic.org">Fundacion CTIC</a></li> |
| <li><a href="https://graal.systems">GraalSystems</a> |
| <ul> |
| <li>GraalSystems is a cloud-native data platform that can be used everywhere, on cloud |
| environments or on bare-metal infrastructures.</li> |
| </ul> |
| </li> |
| <li><a href="https://www.groupon.com">Groupon</a></li> |
| <li><a href="https://www.godatadriven.com">GoDataDriven</a> |
| <ul> |
| <li>Amsterdam based consultancy company helping companies to be successful with Spark</li> |
| </ul> |
| </li> |
| <li><a href="http://www.guavus.com/">Guavus</a> |
| <ul> |
| <li>Stream processing of network machine data</li> |
| </ul> |
| </li> |
| <li><a href="http://us.hitachi-solutions.com">Hitachi Solutions</a></li> |
| <li><a href="http://hivedata.com/">The Hive</a></li> |
| <li><a href="http://www.research.ibm.com/labs/almaden/index.shtml">IBM Almaden</a></li> |
| <li><a href="http://www.infoobjects.com">InfoObjects</a> |
| <ul> |
| <li>Award winning Big Data consulting company with focus on Spark and Hadoop</li> |
| </ul> |
| </li> |
| <li><a href="http://en.inspur.com">Inspur</a></li> |
| <li><a href="https://iomete.com">IOMETE</a> - IOMETE offers a modern Cloud-Prem Data Lakehouse platform, extending cloud-like experience to on-premise and private clouds. Utilizing Apache Spark as the query engine, we enable running Spark Jobs and ML applications on AWS, Azure, GCP, or On-Prem. Discover more at <a href="https://iomete.com">IOMETE</a>.</li> |
| <li><a href="http://www.sehir.edu.tr/en/">Istanbul Sehir University</a></li> |
| <li><a href="http://www.kenshoo.com/">Kenshoo</a> |
| <ul> |
| <li>Digital marketing solutions and predictive media optimization</li> |
| </ul> |
| </li> |
| <li><a href="http://www.kelkoo.co.uk">Kelkoo</a> |
| <ul> |
| <li>Using Spark Core, SQL, and Streaming. Product recommendations, BI and analytics, |
| real-time malicious activity filtering, and data mining.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.knoldus.com">Knoldus Software LLC</a></li> |
| <li><a href="http://eng.localytics.com">Localytics</a> |
| <ul> |
| <li>Batch, real-time, and predictive analytics driving our mobile app analytics and marketing |
| automation product.</li> |
| <li>Components used: Spark, Spark Streaming, MLLib.</li> |
| </ul> |
| </li> |
| <li><a href="http://mediacrossing.com">MediaCrossing</a> – Digital Media Trading Experts in the |
| New York and Boston areas |
| <ul> |
| <li>We are using Spark as a drop-in replacement for Hadoop Map/Reduce to get the right answer |
| to our queries in a much shorter amount of time.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.myfitnesspal.com/">MyFitnessPal</a> |
| <ul> |
| <li>Using Spark to clean-up user entered food data using both explicit and implicit user signals |
| with the final goal of identifying high-quality food items.</li> |
| <li>Using Spark to build different recommendation systems for recipes and foods.</li> |
| </ul> |
| </li> |
| <li><a href="http://deepspace.jpl.nasa.gov/">NASA JPL - Deep Space Network</a></li> |
| <li><a href="http://www.163.com/">Netease</a></li> |
| <li><a href="http://nsn.com">Nokia Solutions and Networks</a></li> |
| <li><a href="http://www.nttdata.com/global/en/">NTT DATA</a></li> |
| <li><a href="http://www.nubetech.co">Nube Technologies</a> |
| <ul> |
| <li>Nube provides solutions for data curation at scale helping customer targeting, accurate |
| inventory and efficient analysis.</li> |
| </ul> |
| </li> |
| <li><a href="http://ooyala.com">Ooyala, Inc.</a> – Powering personalized video experiences |
| across all screens |
| <ul> |
| <li>See our blog post on how we use |
| <a href="http://engineering.ooyala.com/blog/fast-spark-queries-memory-datasets">Spark for |
| Fast Queries</a></li> |
| <li>See our presentation on |
| <a href="http://www.slideshare.net/EvanChan2/cassandra2013-spark-talk-final">Cassandra, Spark, |
| and Shark</a></li> |
| </ul> |
| </li> |
| <li><a href="https://www.opentable.com/">Opentable</a> |
| <ul> |
| <li>Using Apache Spark for log processing and ETL. The data obtained feeds the recommender |
| system powered by Spark MLLIB Matrix Factorization. We are evaluating the use of Spark |
| Streaming for real-time analytics.</li> |
| </ul> |
| </li> |
| <li><a href="http://pantera.io">PanTera</a> |
| <ul> |
| <li>PanTera is a tool for exploring large datasets. It uses Spark to create XY and geographic |
| scatterplots from millions to billions of datapoints.</li> |
| <li>Components we are using: Spark Core (Scala API), Spark SQL, and GraphX</li> |
| </ul> |
| </li> |
| <li><a href="http://www.planbmedia.com">PlanBMedia</a></li> |
| <li><a href="http://predictionio.apache.org/index.html/">Apache PredictionIO</a> |
| <ul> |
| <li>PredictionIO currently offers two engine |
| templates for Apache Spark MLlib for recommendation (MLlib ALS) and classification (MLlib Naive |
| Bayes). With these templates, you can create a custom predictive engine for production deployment |
| efficiently.</li> |
| </ul> |
| </li> |
| <li><a href="http://premise.com">Premise</a></li> |
| <li><a href="http://www.quantifind.com">Quantifind</a></li> |
| <li><a href="http://radius.com">Radius Intelligence</a> |
| <ul> |
| <li>Using Scala, Spark and MLLib for Radius Marketing and Sales intelligence platform including |
| data aggregation, data processing, data clustering, data analysis and predictive modeling of all |
| US businesses.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.realimpactanalytics.com/">Real Impact Analytics</a> |
| <ul> |
| <li>Building large scale analytics platforms for telecoms operators</li> |
| </ul> |
| </li> |
| <li><a href="http://rocketfuel.com/">RocketFuel</a></li> |
| <li><a href="http://www.rondhuit.com/">RONDHUIT</a> |
| <ul> |
| <li>Machine Learning with Apache Mahout and Spark |
| <a href="http://www.rondhuit.com/services/training/mahout-ML.html">http://www.rondhuit.com/services/training/mahout-ML.html</a></li> |
| </ul> |
| </li> |
| <li><a href="http://www.sailthru.com/">Sailthru</a> |
| <ul> |
| <li>Uses Spark to build predictive models and recommendation systems for marketing automation |
| and personalization.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.sisa.samsung.com/">Samsung Research America</a></li> |
| <li><a href="http://www.shopify.com/">Shopify</a></li> |
| <li><a href="https://www.simba.com/">Simba Technologies</a> |
| <ul> |
| <li>BI/reporting/ETL for Spark and beyond</li> |
| </ul> |
| </li> |
| <li><a href="http://www.sinnia.com">Sinnia</a></li> |
| <li><a href="https://www.sktelecom.com/index_en.html">SK Telecom</a> |
| <ul> |
| <li>SK Telecom analyses mobile usage patterns of customer with Spark and Shark.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.sohu.com">Sohu</a></li> |
| <li><a href="https://dawn.cs.stanford.edu">Stanford DAWN</a> |
| <ul> |
| <li>Research lab on infrastructure for usable machine learning, with multiple research projects that run over or |
| accelerate Apache Spark.</li> |
| </ul> |
| </li> |
| <li><a href="http://www.stratio.com/">Stratio</a> |
| <ul> |
| <li>Offers an open-source Big Data platform centered around Apache Spark.</li> |
| </ul> |
| </li> |
| <li><a href="https://www.taboola.com/">Taboola</a> – Powering ‘Content You May Like’ around the web</li> |
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| <ul> |
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| <a href="http://www.searchenginejournal.com/yandex-islands-markup-issues-implementation/71891/">Yandex Islands</a>, |
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