"Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the incubator."
Should I add this sentence in the proposal? Max On Mon, Apr 24, 2017 at 5:48 AM, John D. Ament <johndam...@apache.org> wrote: > I missed this discussion. In your IP section, you list out: > > == Source and Intellectual Property Submission Plan == > We do not expect any complications for the submission of the Superset code > base. Our code is already in Github and there is only a single code base. > > This IMHO not clear. Does Airbnb plan to submit a SGA for Superset, or > expect that no SGA is required because its Apache licensed? > > John > > On Sun, Apr 2, 2017 at 4:09 PM Jeff Feng <jeff.f...@airbnb.com.invalid> > wrote: > > > Dear Apache Incubator Community, > > > > We are excited to share our proposal for discussion and feedback for > > entering Apache Incubation. Superset is an enterprise-ready web > > application for data exploration, data visualization and dashboarding. > > > > Our Incubation proposal is at the following Wiki as well as copied in the > > email below: > > > > https://wiki.apache.org/incubator/SupersetProposal > > > > We have an active Superset community including 400+ members and nearly > 200 > > topics. The Google Group can be found below. We plan to move the > > discussion to the ASF: > > > > https://groups.google.com/forum/#!forum/airbnb_superset > > > > Thank you and look forward to the discussion! > > > > Jeff, Max & Alanna > > > > > > > > > > = Superset = > > > > == Abstract == > > > > Superset is an enterprise-ready web application for data exploration, > data > > visualization and dashboarding. > > > > == Proposal == > > > > Superset is business intelligence (BI) software that helps modern > > organizations visualize and interact with their data. Superset enables > > users explore data from a variety of databases, assemble beautiful > > dashboards and share their findings. Superset works neatly with all > modern > > SQL-speaking databases, and integrates with Druid.io to provide > real-time, > > interactive, blazing fast data access to large datasets. > > > > == Background == > > > > Data is mission critical. To succeed in this era, organizations need to > > provide low-friction, intuitive and interactive access to data. It is > > paramount for knowledge workers to be capable of answering their own > > questions by querying, exploring and visualizing data. > > > > The entire business intelligence industry has pivoted from a model of > > centralized top-down platforms driven by IT organizations to self-service > > analytics and agile workflows by any user. This shift unblocks > centralized > > service bottlenecks for creating data visualizations while also creating > an > > environment that is iterative and fast-moving. This means that business > > intelligence software must also be easy and delightful to use. > > Self-service analytics doesn’t mean that admin and governance features > are > > not needed. > > > > Modern BI tools provide fine-grain access controls and auditing > > capabilities to understand how data is being used. Superset is a > solution > > that delivers on all of these vectors. > > > > The technology stack is also constantly morphing - vendors are struggling > > to provide cheap, quick and easy solutions to access data. Business > > intelligence users are finding existing solutions lacking as these > software > > products either disregard or react slowly to recent game-changing > > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js, > > React.js and iPython’s Jupyter for instance. > > > > == Rationale == > > > > Business intelligence is more relevant today than at any other point in > > history. Organizations are currently very limited in options for open > > source data visualization solutions, especially solutions that are both > > self-service and enterprise-ready. Every company informing their > decisions > > with data needs a BI tool. > > > > We believe that Superset will be a strong compliment to existing Apache > > Software Foundation technologies by offering scalable user interactions > to > > distributed storage and computation solutions. Users will often find > that > > Superset can act as a catalyst for tooling that can visualize the > byproduct > > of data and computation infrastructure. > > > > Superset has many key design elements that help fill a gap in current > > solutions for organizations: > > > > * Easy, low friction access to data through a simple, web-based data > > exploration interface. Composing charts and dashboards are intuitive. > > Eliminating the need to write code or SQL empowers anyone to use it. > > > > * Access to a wide array of rich, interactive data visualization types. > > > > * Enterprise-ready: Integration with different authentication mechanisms > > and granular permissions centered around actions and data access. > > > > * Realtime & fast: Superset provides realtime analytics at the speed of > > thought on very large datasets when integrated with Druid.io. > > > > * Broad data access: Consume data out of any SQL-speaking relational > > database. > > > > * Extensible: Can be extended to talk to many noSQL databases like Apache > > Drill, Elastic Search, and other popular database engines. > > > > * Fast loading dashboards with configurable web-scale caching. > > > > * Plug-in framework that enables organizations to build custom analytical > > applications with new UI/UX interfaces. > > > > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users > with > > more flexibility. SQL Lab integrates with the visualization engine > > seamlessly. > > > > == Initial Goals == > > > > The initial goals of the Superset project are several-fold: > > > > Move the existing codebase to Apache and integrate with the Apache > > development process. > > > > Redesign the user interface and interaction model for creating > > visualizations/dashboards and connecting to data sources > > > > Build robust support for security and governance of the tool including > > popular authorization modules (including Apache Ranger and Apache Sentry) > > and a more sophisticated permissions system > > > > Grow the extensibility of the project both in terms of enhanced > > connectivity to NoSQL-based data sources and creating a plug-in framework > > that enables organizations to build custom analytical applications which > > require a new UI/UX > > > > == Current Status == > > > > By many standards, Superset is already a successful open source project. > As > > of March 2017, Superset is officially used in production at about a dozen > > companies, has received contributions from over one hundred contributors > on > > Github, 1500+ forks, and 12k+ stars. > > > > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made > > significant contributions, and expressed their commitment to the project. > > The product is feature complete and has been viable for months. It > already > > serves as the main interface for consuming data at many companies of > > different sizes. > > > > While the product is usable, there’s room for improvement across the > board, > > starting with providing a smoother user experience around content > creation, > > making sure all features work out-of-the-box on more platforms and > > databases, providing better user training guides and videos, having a > > predictable release process, and increasing the overall quality of the > > Superset releases. > > > > === Meritocracy === > > > > We plan to invest in supporting a meritocracy. We will discuss the > > requirements in an open forum. Several companies have expressed interest > in > > this project, and we intend to invite additional developers to > participate. > > We will encourage and monitor community participation so that privileges > > can be extended to those that contribute. > > > > === Community === > > > > The need for an enterprise-ready data visualization and exploration > > platform in the open source community is tremendous. While Superset is > > fairly well known, recognized and used within the Druid.io community, > > adoption is currently limited outside of that niche. There is a huge > > opportunity to grow the community to hundreds if not thousands of > > organizations, and we are hoping that embracing “the Apache way” will > > accelerate the growth of our community. > > > > We have already been active at seeking and inviting contributions, and > are > > planning to scale the project by investing time and growing the support > > structure to grow the community. > > > > === Core Developers === > > > > The initial committers for Superset include experienced full stack, > > front-end and data engineers: > > > > * Maxime Beauchemin (Airbnb) > > > > * Alanna Scott (Airbnb) > > > > * Bogdan Kyryliuk (Airbnb) > > > > * Vera Liu (Airbnb) > > > > * Jeff Feng (Airbnb) > > > > * Ashutosh Chauhan (Hortonworks) > > > > * Nishant Bangarwa (Hortonworks) > > > > * Slim Bouguerra (Hortonworks) > > > > * Priyank Shah (Hortonworks) > > > > * Sriharsha Chintalapani (Hortonworks) > > > > * Daniel Dai (Hortonworks) > > > > We realize that additional employer diversity is needed, and we will work > > aggressively to recruit developers from additional companies. > > > > === Alignment === > > > > The initial committers strongly believe that a system for interactive > > visualization of data will gain broader adoption as an open source, > > community driven project, where the community can contribute not only to > > the core components, but also to a growing collection of connectors, > > visualizations and improving integration a all potential data sources. > > Superset already integrates closely with Apache Hive, the Hive metastore, > > as well as most SQL-speaking databases found in modern data ecosystems. > > > > == Known Risks == > > > > === Orphaned Products === > > > > Superset is a vital component for both visualizing, accessing and > > democratizing data at Airbnb. Also at Hortonworks, Superset is a core > > component of the DataFlow product offering. Thus, the risk of the > project > > being orphaned is relatively low. The project could be at risk if Airbnb > > changes their approach for democratizing data or if Hortonworks changes > > their strategy in the market. In such an event, the committers plan to > > continue working on the project on their own time, thought the progress > > will likely be slower. We plan to mitigate this risk by recruiting > > additional committers. > > > > === Inexperience with Open Source === > > > > The initial committers include veteran Apache members (committers and PMC > > members) and other developers who have varying degrees of experience with > > open source projects. All have been involved with source code that has > been > > released under an open source license, and several also have experience > > developing code with an open source development process. > > > > === Homogenous Developers === > > > > The initial committers are employed by Airbnb Inc., and Hortonworks. We > are > > committed to recruiting additional committers from other companies. > > > > === Reliance on Salaried Developers === > > > > It is expected that Superset development will occur on both salaried time > > and on volunteer time, after hours. The majority of initial committers > are > > paid by their employer to contribute to this project. However, they are > all > > passionate about the project, and we are confident that the project will > > continue even if no salaried developers contribute to the project. We are > > committed to recruiting additional committers including non-salaried > > developers. > > > > === Relationships with Other Apache Products === > > > > To the knowledge of the Initial Committers, there are no direct > competitors > > to Superset within the Apache Software Foundation. That said, Apache > > Zeppelin is an indirect competitor, but it solves a different use case. > > > > Apache Zeppelin is a web-based notebook that enables interactive data > > analytics. It enables the creation of beautiful data-driven, interactive > > and collaborative documents with SQL, Scala and more. Although a user > can > > create data visualizations using this project, it leverages a notebook > > style user interfaces and it is geared towards the Spark community where > > Scala and SQL co-exist > > > > We look forward to collaborating with those communities, as well as other > > Apache communities. > > > > === An Excessive Fascination with the Apache Brand === > > > > Superset is solving two huge challenges: > > > > The challenge of enabling every knowledge worker to make data informed > > decisions, particularly those who are not deeply skilled at writing SQL. > > > > The challenge of visualizing huge amounts of data interactively and in > > real-time > > > > Superset was first developed as a data visualization solution for > Druid.io > > as a way to visualize billions of rows of data. Since then, usage of > > Superset has expanded to address data visualization use cases across SQL > > speaking data sources as well. > > > > Our rationale for developing Superset as an Apache project is detailed in > > the Rationale Section. We believe that the Apache brand and community > > process will help us attract more contributors to this project, and help > > grow the footprint of the project through usage at other organizations > and > > within other applications. Establishing consensus among users and > > developers will result in a more valuable tool for everyone. > > > > == Documentation == > > > > References to further reading material: > > > > * [[http://airbnb.io/superset/|Superset Documentation]] > > > > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat > > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset: > > Airbnb’s Data Exploration Platform]] > > > > * [[https://medium.com/airbnb-engineering/superset-scaling-dat > > a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog > Post: > > Superset: Scaling Data Access & Visual Insights at Airbnb]] > > > > == Initial Source == > > > > The origin of the proposed code base can be found at > > https://github.com/airbnb/superset. The code base is primarily in > Python. > > > > == Source and Intellectual Property Submission Plan == > > > > We do not expect any complications for the submission of the Superset > code > > base. Our code is already in Github and there is only a single code > base. > > > > == External Dependencies == > > > > List of Python packages, from the Python Package Index (Pypi): > > > > * boto3 > > > > * celery > > > > * cryptography > > > > * flask-appbuilder > > > > * flask-cache > > > > * flask-migrate > > > > * flask-script > > > > * flask-sqlalchemy > > > > * flask-testing > > > > * humanize > > > > * gunicorn > > > > * markdown > > > > * pandas > > > > * parsedatetime > > > > * pydruid > > > > * PyHive > > > > * python-dateutil > > > > * requests > > > > * simplejson > > > > * six > > > > * sqlalchemy > > > > * sqlalchemy-utils > > > > * sqlparse > > > > * thrift > > > > * thrift-sasl > > > > * werkzeug > > > > List of Javascript packages, from NPM: > > > > * autobind-decorator > > > > * bootstrap > > > > * bootstrap-datepicker > > > > * brace > > > > * brfs > > > > * cal-heatmap > > > > * classnames > > > > * d3 > > > > * d3-cloud > > > > * d3-sankey > > > > * d3-scale > > > > * d3-tip > > > > * datamaps > > > > * datatables-bootstrap3-plugin > > > > * datatables.net-bs > > > > * font-awesome > > > > * gridster > > > > * immutability-helper > > > > * immutable > > > > * jquery > > > > * lodash.throttle > > > > * mapbox-gl > > > > * moment > > > > * moments > > > > * mustache > > > > * nvd3 > > > > * react > > > > * react-ace > > > > * react-bootstrap > > > > * react-bootstrap-table > > > > * react-dom > > > > * react-draggable > > > > * react-gravatar > > > > * react-grid-layout > > > > * react-map-gl > > > > * react-redux > > > > * react-resizable > > > > * react-select > > > > * react-syntax-highlighter > > > > * reactable > > > > * redux > > > > * redux-localstorage > > > > * redux-thunk > > > > * shortid > > > > * style-loader > > > > * supercluster > > > > * topojson > > > > * victory > > > > * viewport-mercator-project > > > > == Cryptography == > > > > The proposal does not include cryptographic code. > > > > == Required Resources == > > > > === Mailing List === > > > > There is a current mailing list as a Google Group “airbnb_superset” that > we > > are planning on deprecating as the Apache.org become ready to serve our > > community. > > > > * superset-private > > > > * superset-dev > > > > * superset-user > > > > === Subversion Directory === > > > > Git is the preferred source control system. > http://svn.apache.org/repos/as > > f/incubator/superset <http://svn.apache.org/repos/asf/incubator/superset > > > > > > == Git Repository == > > > > Git is the preferred source control system, we’re assuming > > https://github.com/apache/incubator-superset based on the naming scheme > > > > == Issue Tracking == > > > > JIRA Superset (SUPERSET). If possible, we’d like to use Github issues & > PRs > > to manage our project as much as possible. It’s been said that there are > > ways to keep Github’s issues in sync with Jira, allowing us to get best > of > > both worlds. If that is not possible, we will comply to using Jira. > > > > == Other Resources == > > > > We currently use a set of Github integrated services that are free to the > > open source community, like Travis-ci, Code Climate, Coveralls, > > Landscape.io, Requires.io, david-dm and Gitter. We would like to keep > using > > these services as they allow us to scale contributions and optimize our > > development flows. These services require some elevated rights on the > > Github repository in order to set up or tune and we would like for the > > committers to have the required rights. > > > > > > == Initial Committers == > > > > * Maxime Beauchemin <maxime.beauche...@airbnb.com> - PMC & Committer > > > > * Alanna Scott <alanna.sc...@airbnb.com> - PMC & Committer > > > > * Bogdan Kyryliuk <b.kyryl...@gmail.com> - PMC & Committer > > > > * Vera Liu <vera....@airbnb.com> - Committer > > > > * Jeff Feng <jeff.f...@airbnb.com> - PMC & Committer > > > > * Ashutosh Chauhan <hashut...@apache.org> - Mentor & Committer > > > > * Nishant Bangarwa <nbanga...@hortonworks.com> - PMC & Committer > > > > * Slim Bouguerra <sbougue...@hortonworks.com> - Committer > > > > * Priyank Shah <ps...@hortonworks.com> - Committer > > > > * Harsha Chintalapani <schintalap...@hortonworks.com> - Committer > > > > * Daniel Dai <da...@apache.org> - Champion & Committer > > > > == Affiliations == > > > > The initial committers are employees of Airbnb Inc. and Hortonworks. > > > > == Sponsors == > > > > === Champion === > > > > Daniel Dai <da...@apache.org> > > > > === Nominated Mentors === > > > > Ashutosh Chauhan <hashut...@apache.org> > > > > === Sponsoring Entity === > > > > Incubator PMC > > > > > > -- > > > > *Jeff Feng* > > Product Manager > > m: (949)-610-5108 <(949)%20610-5108> <(949)%20610-5108> > > twitter: @jtfeng > > >
