April 30, 2022

Top 20 Bootstrap Interview Questions and Answers


Bootstrap is a comprehensive toolkit for generating and developing web pages and applications that contains HTML, CSS, and JavaScript tools. It is a free and open-source project available on GitHub that was created by (and for) Twitter.
Bootstrap gained a lot of traction after it was made open-source in 2011, and for good reason. Because of its versatility and ease of use, Bootstrap is popular among web designers and developers. Its main benefits are that it is responsive by design, that it works with a wide range of browsers, that it uses reusable components to offer a consistent design, and that it is simple to use and comprehend. It comes with built-in support for jQuery plugins and a programmatic JavaScript API for rich extensibility via JavaScript. Any IDE or editor, as well as any server-side technology and language, can be utilized with Bootstrap.

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Ques. 1): What is Bootstrap?

Bootstrap is a platform for web development based on a front-end framework. It is used to create exceptional responsive designs using HTML, and CSS. These templates are used for forms, tables, buttons, typography, models, tables, navigation, carousels and images. Bootstrap also has Javascript plugins, which are optional. Bootstrap is mostly preferred for developing mobile web applications.

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Ques. 2): What is Bootstrap and how does it work?


Bootstrap is the most popular open source toolkit for creating mobile responsive, dynamic websites and online applications. It includes HTML, CSS, and JS-dependent templates.


  • Bootstrap increase development speed
  • Bootstrap is outfitted with a 12-column grid system and a responsive layout for
  • Bootstrap ensures consistency
  • It's future compatibility.
  • Bootstrap provides rich customization features for designing tailor-made websites.
  • Bootstrap provides various advantages of using pre-styled components.
  • Bootstrap containing a simple integration approach to integrate into specialized platforms and frameworks.
  • Bootstrap contains a big list of components needed to develop mobile responsive websites like the navigation bar, drop-down, alerts, badges, labels.
  • It reduces extra efforts of large coding

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Ques. 3): What is included in the Bootstrap package?


Scaffolding: Bootstrap comes with a basic structure that includes a Grid System, link styles, and a background. The section Bootstrap Basic Structure goes over this in depth.

CSS: Bootstrap includes global CSS settings, basic HTML components stylized and improved with extendable classes, and a sophisticated grid system. The section Bootstrap with CSS goes over this in depth.

Over a dozen reusable components are included in Bootstrap, including iconography, dropdowns, navigation, notifications, popovers, and more. The section Layout Components goes through this in depth.

Plugins for JavaScript: Bootstrap includes over a dozen bespoke jQuery plugins. You may easily incorporate all of them or just one at a time. The section Bootstrap Plugins goes over this in depth.

Customize: You can customize Bootstrap's components, fewer variables, and jQuery plugins to get your very own version.

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Ques. 4): What are collapsing elements in Bootstrap?


You may collapse any element with Bootstrap collapsing elements without creating any JavaScript code or accordion markup. To use collapsible elements in bootstrap, add data-toggle= "collapse" to the controller element along with a data-target or href to delegate control of a collapsible element automatically. You can also do the same thing with.collapse (options),.collapse ('display'), or.collapse ('hide').

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Ques. 5): What are the advantages of Bootstrap?


The following are some advantages of Bootstrap:

  • Bootstrap is simple to use and anyone with a basic understanding of HTML and CSS can get started.
  • Features that adapt to phones, tablets, and desktops: Bootstrap's responsive CSS adapts to phones, tablets, and desktops.
  • A mobile-first strategy: Mobile-first styles are built into the Bootstrap framework.
  • Bootstrap 4 is compatible with all modern browsers, including Chrome, Firefox, Internet Explorer 10+, Edge, Safari, and Opera.

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Ques. 6): How well-versed are you in the Bootstrap Grid System?


The Bootstrap Grid System is a responsive, mobile-first grid that scales up to 12 columns as the device or viewport size increases. The system includes predefined classes for simple layout options and powerful mix-ins for developing successful semantic layouts.

In the Bootstrap 4 grid system, there are five classes:

  • .col- for extra small devices, whose screen width is less than 576px.
  • .col-sm- small devices, whose screen width is equal to or greater than 576px.
  • .col-md- medium devices, whose screen width is equal to or greater than 768px.
  • .col-lg- large devices, whose screen width is equal to or greater than 992px.
  • .col-xl- extra large devices, whose screen width is equal to or greater than 1200px.
  • The classes listed above can be combined to build layouts that are more dynamic and adaptable.

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Ques. 7): Explain why to choose Bootstrap for building the websites?


There are few reason why we choose Bootstrap for building websites

Mobile Support: For mobile devices it provides full support in one single file rather than in separate file. It supports the responsive design including adjusting the CSS based on the different types of device, size of the screen etc. It reduces extra effort for developers.

Easy to learn: Writing application in bootstrap is easy if you know CSS and HTML

Browser Support: It supports all the popular browsers like Firefox, Opera, Safari, IE etc.

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Ques. 8): In Bootstrap, what are Glyphicons?


There could be more than 200 glyphicons in the glyphicons set. It serves as an icon font for our web design projects, and it may be used in buttons, navigation, forms, and buttons, among other things. Only Bootstrap projects can use Glyphicons Halflings for free; otherwise, a licence is required.

Print glyphicon and Envelope glyphicon are two examples of Glyphicon.

The syntax can be used for this Glyphicon is:

<span class="glyphicon glyphicon-name"> </span>

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Ques. 9): Explain what pagination in bootstrap is and how they are classified?


Pagination is the handling of an unordered list by bootstrap. To handle pagination bootstrap provides following classes

  • .pagination: To get pagination on your page you have to add this class
  • .disabled, .active: Customize links by .disabled for unclickable links and .active to indicate the current page
  • .pagination-Ig, .pagination-sm: Use these classes to get different size item

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Ques. 10): What is the Scrollspy Bootstrap plugin?


Scrollspy is a plugin that allows you to build auto-updating navigation plugin parameters. It allows you to use a scroll position to target certain areas of a web page. The.active class, which can be added to the navbar based scroll position, can be used to accomplish this.

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Ques. 11): What are the features of Bootstrap v4?


  • The initial release of bootstrap v4.x was 4.0 and the final release in 2018-2019 is 4.2 ;
  • The toast component is added for showing notifications
  • The spinner component is added for loading
  • The utility class .text-decoration-none is added
  • The bootstrap-grid.css file updates the margin and padding of the grid system
  • The .modal-xl class is used for modals
  • The .font-weight-lighter and .font-weight-bolder are added as utility classes
  • The validation styles for file inputs is added with new features
  • The print feature of dark tables is updated with new quality
  • The new utility class .dropdown-item-text is added for dropdown items
  • The Tooltips supports Shadow DOM
  • The double transitions issue on carousels is improved now.

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Ques. 12): How many types of classes are used in Bootstrap3 to create a responsive page layout?


There are 4 types of bootstrap grid classes. we can create grid column layouts extra small devices like mobile phones to large devices like large desktop screens.

  • .col-xs-* : This class is used for extra small device like smart phone (Size<768px)
  • .col-sm-*: This class is used for small device like tablets (size>=768px)
  • .col-md-*: This class is used for medium device like laptops and small size desktop CRT screen (size >=992px)
  • .col-lg-* : This class is used for large device like flat screen or large size desktop (size>=1200px)

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Ques. 13): What is the grid size in Bootstrap 4?


Bootstrap 4 supports 5 tier grid system. The below lists for different screen sizes of device,

1. Extra small <576px :

  • Width container will be auto.
  • Here class prefix is .col-.
  • A number of columns will be 12.
  • It can be nestable.
  • It supports column ordering.

2. Small =576px :

  • Width container will be 540px.
  • Here class prefix is .col-sm-.
  • A number of columns will be 12.
  • It can be nestable.
  • It supports column ordering.

3. Medium =768px :

  • Width container will be 720px.
  • Here class prefix is .col-md-.
  • A number of columns will be 12.
  • It can be nestable.
  • It supports column ordering.

4. Large =992px:

  • Width container will be 960px.
  • Here class prefix is .col-lg-.
  • A number of columns will be 12.
  • It can be nestable.
  • It supports column ordering.

5. Extra large =1200px :

  • Width container will be 1140px.
  • Here class prefix is .col-xl-.
  • A number of columns will be 12.
  • It can be nestable.
  • It supports column ordering.

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Ques. 14): What is the definition of Kickstrap?


Kickstrap is a product that combines AngularJS with Bootstrap, as well as the JavaScript Package Manager (JSPM). Without the native backend, you may take advantage of the benefits of running an authorised database-driven web application. Kickstrap adheres to the Backend as a Service (BaaS) model by using Firebase.

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Ques. 15): What is the purpose of the Bootstrap breadcrumb?


The bootstrap breadcrumb is the greatest way to explain hierarchy-based information on a website. It has a breadcrumb class and is an unordered list. For a Bootstrap breadcrumb, the separator is automatically added up in CSS. Breadcrumbs can be used to display categories, tags, or publishing dates on a blog site. It also displays the current page's hierarchical position.

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Ques. 16): What are the similarities and differences between Sass and Bootstrap?


SASS is a language for writing stylesheets and CSS pre-processors. It should be compiled into CSS so that the Web browser can understand it. The files have the. scss extension and are written in SASS. The SASS language is used to write the whole Bootstrap 4 CSS source code.

A SASS compiler, such as A.K.A., is used to compile the Bootstrap 4 CSS files.

A pre-processor is a device that converts data into a more usable The best approach to tweak Bootstrap is through SASS.


Ques. 17): In Bootstrap 4, what are cards?


Bootstrap 4 replaces panels, wells, and thumbnails with cards. To construct a container, Bootstrap 4 uses the.card and.card-body classes on an element. It uses and adds.card-title to heading elements. text-elements to card-text

Let’ see code,

<div class="container-fluid">

 <div class="card card-body">

 <h4 class="card-title">Name</h4>

 <p class="card-text">My name is Satyaprakash</p>

 <a href="#" class="btn btn-primary">More Detilas>></a>




Ques. 18): In Bootstrap, what is the purpose of the affix plugin?


Affix is a plugin that attaches a tag to a specific spot on a webpage. It is also possible to turn on and off pinning for the attached tag. Social icons are a prominent example of affix plugins in bootstrap. The scrolling that is fastened begins at one point on a webpage and ends at a place when the scrolling stops for the rest of the page.


Ques. 19): What are bootstrap modal plugins and how can I use them?


Modal plugins can be used to create a small pop-up window, or child windows can be used to replace the parent window. This dialogue box's main purpose is to deliver user reminders and warnings concerning session timeouts, as well as to receive final configurations to delete or save any data. Bootstrap.js or bootstrap.min.js are necessary for bootstrap modal plugins to function properly.

Modal plugins for Bootstrap can be used to create flexible and intelligent dialogue boxes. Any modal can be closed automatically using the backdrop.

Nested modal is not acceptable in Bootstrap, and only one window can be used at one time in Bootstrap.


Ques. 20): What are the different sorts of lists that Bootstrap supports?


Bootstrap supports three different forms of lists:

Definition Lists - It contains both and elements. Definition term is a term or phrase that is used to define something. The element's definition is defined by the element.

Ordered Lists — To create a sequential order, this list employs a number as a prefix.

Unordered Lists - This type of list is formatted with bullets and does not follow any particular order. The bullet-style can be eliminated from the unordered list by using the.list-unstyled class. To list all of the items in a single line, use the.list-inline class.



April 28, 2022

Top 20 Apache Drill Interview Questions and Answers


        Apache Drill is an open source software framework that enables the interactive study of huge datasets using data demanding distributed applications. Drill is the open source version of Google's Dremel technology, which is provided as a Google Big Query infrastructure service. HBase, MongoDB, MapR-DB, HDFS, MopEDS, AmazonS3, Google cloud storage, Swift, NAS, and local files are among the NoSQL databases and filesystems it supports. Data from various datastores can be combined in a single query. You may combine a user profile collection in MongoDB with a directory of Hadoop event logs, for example.

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Ques. 1): What is Apache Drill, and how does it work?


Apache Drill is an open-source SQL engine with no schema that is used to process massive data sets and semi-structured data created by new age Big data applications. Drill's plug-and-play interface with Hive and Hbase installations is a great feature. Google's Dremel file system inspired the Apache Drill. We may have a faster understanding of data analysis without having to worry about schema construction, loading, or any other type of maintenance that used to be required in the RDBMS system. We can easily examine multi-structured data with Drill.

Apache Drill is a schema-free SQL Query Engine for Hadoop, NoSQL, and Cloud Storage that allows us to explore, visualise, and query various datasets without needing to use ETL or other methods to fix them to a schema.

Apache Drill can also directly analyse multi-structured and nested data in non-relational data stores, without any data restrictions.

The schema-free JSON model is included in Apache Drill, the first distributed SQL query engine and its looks like -

  • Elastic Search
  • MongoDB
  • NoSQL database

The Apache Drill is very useful for those professionals that already working with SQL databases and BI tools like Pentaho, Tableau, and Qlikview.

Also Apache Drill supports to -

  • RESTful,
  • ANSI SQL and
  • JDBC/ODBC drivers

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Ques. 2): Is Drill a Good Replacement for Hive?


Hive is a batch processing framework that is best suited for processes that take a long time to complete. Drill outperforms Hive when it comes to data exploration and business intelligence.

Drill is also not exclusive to Hadoop. It can, for example, query NoSQL databases (such as MongoDB and HBase) and cloud storage (eg, Amazon S3, Google Cloud Storage, Azure Blob Storage, Swift).

Both Instruments Hive and Drill are used to query enormous datasets; Hive is best for batch processing for long-running processes, whereas Drill offers more advancement and a better user experience. Drill's limitation isn't limited to Hadoop; it may also access and process data from other sources.

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Ques. 3): What are the differences between Apache Drill and Druid?


The primary distinction is that Druid pre-aggregates metrics to give low latency queries and minimal storage use.

You can't save information about individual events while using Druid to analyse event data.

Drill is a generic abstraction for a variety of NoSql data stores. Because the values in these data stores are not pre-aggregated and are saved individually, they can be used for purposes other than storing aggregated metrics.

Drill does not provide the low latency queries required to create dynamic reporting dashboards.

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Ques. 4): What does Tajo have in common with Apache Drill?


Tajo resembles Drill in appearance. They do, however, have a lot of differences. Their origins and eventual purposes are the most significant contrasts. Drill is based on Google's Dremel, whereas Tajo is based on the combination of MR and parallel RDBMS. Tajo's goal is a relational and distributed data warehousing system, whereas Drill's goal is a distributed system for interactive analysis of large-scale datasets.

As far as I'm aware, the first Drill contains the following characteristics:

  • Drill is a Google Dremel clone project.
  • Its primary goal is to do aggregate queries using a full table scan.
  • Its main goal is to handle queries quickly.
  • It employs a hierarchical data model.

Tajo, on the other hand, has the following features:

  • Tajo combines the benefits of MapReduce and Parallel databases.
  • It primarily targets complex data warehouse queries and has its own distributed query evaluation approach.
  • Its major goal is scalable processing by exploiting the advantages of MapReduce and Parallel databases.
  • We expect that sophisticated query optimization techniques, intermediate data streaming, and online aggregation will significantly reduce query response time.
  • It utilizes a relational data model. We feel that the relational data model is sufficient for modelling the vast majority of real-world applications.
  • Tajo is expected to be linked with existing BI and OLAP software.

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Ques. 5): What are the benefits of using Apache Drill?


Some of the most compelling reasons to use Apache Drill are listed below.

  • Simply untar the Apache Drill and use it in local mode to get started. It does not necessitate the installation of infrastructure or the design of a schema.
  • Running SQL queries does not necessitate the use of a schema.
  • We can query semi-structured and complex data in real time with Drill.
  • The SQL:2003 syntax standard is supported by Apache Drill.
  • Drill can be readily linked with BI products like QlikView, Tableau, and MicroStrategy to give analytical capabilities.
  • We can use Drill to conduct an interactive query that will access the Hive and HBase tables.
  • Drill supports multiple data stores such as local file systems, distributed file systems, Hadoop HDFS, Amazon S3, Hive tables, HBase tables, and so on.
  • Apache Drill can be easily scalable from a single system up to 1000 nodes.

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Ques. 6): What Are the Great Features of Apache Drill?


The following features are -

  • Schema-free JSON document model similar to MongoDB and Elastic search
  • Code reusability
  • Easy to use and developer friendly
  • High performance Java based API
  • Memory management system
  • Industry-standard API like ANSI SQL, ODBC/JDBC, RESTful APIs
  • How does Drill achieve performance?
  • Distributed query optimization and execution
  • Columnar Execution
  • Optimistic Execution
  • Pipelined Execution
  • Runtime compilation and code generation
  • Vectorization

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Ques. 7): What are some of the things we can do with the Apache Web interface?


The tasks that we can conduct through the Apache Drill Web interface are listed below.

  • The SQL Queries can be conducted from the Query tab.
  • We have the ability to stop and restart running queries.
  • We can view the executed queries by looking at the query profile.
  • In the storage tab, you can view the storage plugins.
  • In the log tab, we can see logs and stats.

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Ques. 8): What is Apache Drill's performance like? Does the number of lines in a query result affect its performance?


We utilise drill for its rest server and connect D3 visualisation for querying IOT data, and the querying command(select and join) suffers from a lot of slowness, however this was fixed when we switched to spark SQL.

Drill is useful in that it can query most data sources, but it may need to be tested before being used in production. (If you want something faster, I believe you can find a better query engine.) But for development and testing, it's been quite useful.

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Ques. 9): What Data Storage Plugins does Apache Drill support?


The following is a list of Data Storage Plugins that Apache Drill supports.

  • File System Data Source Storage Plugin
  • HBase Data Source Storage Plugin
  • Hive Data Source Storage Plugin
  • MongoDB Data Source Storage Plugin
  • RDBMS Data Source Storage Plugin
  • Amazon S3 Data Source Storage Plugin
  • Kafka Data Source Storage Plugin
  • Azure Blob Data Source Storage Plugin
  • HTTP Data Source Storage Plugin
  • Elastic Search Data Source Storage Plugin

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Ques. 10): What's the difference between Apache Solr and Apache Drill, and how do you use them?


The distinction between Apache Solr and Apache Drill is comparable to that between a spoon and a knife. In other words, despite the fact that they deal with comparable issues, they are fundamentally different instruments.

To put it plainly... Apache Solr is a search platform, while Apache Drill is a platform for interactive data analysis (not restricted to just Hadoop). Before performing searches with Solr, you must parse and index the data into the system. For Drill, the data is stored in its raw form (i.e., unprocessed) on a distributed system (e.g., Hadoop), and the Drill application instances (i.e., drillbits) will process it in parallel.

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Ques. 11): What is the recommended performance tuning approach for Apache Drill?


To tune Apache Drill's performance, a user must first understand the data, query plan, and data source. Once these locations have been discovered, the user can utilise the performance tuning technique below to increase the query's performance.

  • Change the query planning options if necessary.
  • Change the broadcast join options as needed.
  • Switch the aggregate between one and two phases.
  • The hash-based memory-constrained operators can be enabled or disabled.
  • We can activate query queuing based on your needs.
  • Take command of the parallelization.
  • Use partitions to organise your data.

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Ques. 12): What should you do if an Apache Drill query takes a long time to deliver a result?


Check the following points if a query from Apache Drill is taking too long to deliver a result.

  • Check the query's profile to determine if it's moving or not. The query progress is determined by the time of the latest update and change.
  • Streamline the process where Apache Drill is taking too long.
  • Look for partition pruning and projection pushdown operations.


Ques. 13): I'm using Apache Drill with one drillbit to query approximately 20 GB of data, and each query takes several minutes to complete. Is this normal?


The performance of a single bit drill is determined by the Java memory setup and resources available on the computer where your query is being performed. Because the query engine must identify meaningful matches, the where clause requires more work from the query engine, which is why it is slower.

You can also alter JVM parameters in the drill configuration. You can devote more resources to your searches, which should result in speedier results.


Ques. 14): How does Apache Drill compare to Apache Phoenix with Hbase in terms of performance?


Because Drill is a distributed query engine, this is a fascinating question. In contrast, Phoenix implements RDBMS semantics in order to compete with other RDBMS. That isn't to suggest that Drill won't support inserts and other features... But, because they don't do the same thing right now, comparing their performance isn't really apples-to-apples.

Drill can query HBase and even push query parameters down into the database. Additionally, there is presently a branch of Drill that can query data stored in Phoenix.

Drill can simultaneously query numerous data sources. Logically if you choose to use Phoenix, you could use both to satisfy your business needs.


Ques. 15): Is Apache Drill 1.5 ready for usage in production?


Drill is one of the most mature SQL-on-Hadoop solutions in general. As with all of the SQL-on-Hadoop solutions, it may or may not be the best fit for your use case. I mention that solely because I've heard of some extremely far-fetched use cases for Drill that aren't a good fit.

Drill will serve you well in your production environment if you wish to run SQL queries without "requiring" ETL first.

Any tool that supports the ODBC and JDBC connections can easily access it as well.


Ques. 16): Why doesn't Apache Drill get the same amount of attention as other SQL-on-Hadoop tools?


To keep track of SQL on Hadoop tools and to advise enterprise customers on which ones would be ideal for them. A lot of SQL on Hadoop solutions have a large number of users. Presto has been used by a number of major Internet firms (Netflix, AirBnB), as well as a number of large corporations. It is largely sponsored by Facebook and Teradata (my job). The Cloudera distribution makes Impala widely available. Phoenix and Kylin also make a lot of appearances and have a lot of popularity. Until it doesn't function or a flaw is discovered, Spark SQL is the go-to for new projects these days. Hive is the hard to beat incumbent. Adoption is crucial.


Ques. 17): Is it possible to utilise Apache Drill + MongoDB in the same way that RDBMS is used?


To begin, you must comprehend the significance of NoSQL. To be honest, deciding between NoSQL and RDBMS based on a million or ten million users is not a great number.

However, as you stated, the size of your dataset will only grow. You can begin using MongoDB, keeping in mind the scalability element.

Apache Drill is now available.

Dremel by Google was the inspiration for Apache drill. When you select columns to retrieve, it performs well. Multiple data sources can be joined together (e.g. join over hive and MongoDB, join over RDBMS and MongoDB, etc.)

Also, pure MongoDB or MongoDB + Apache Drill are both viable options.


Stick to native MongoDB if your application architecture is entirely based on MongoDB. You have access to all of MongoDB's features. MongoDB java driver, python driver, REST API, and other options are available. Yes, learning MongoDB-specific concepts will take more time. However, RDBMS queries provide you a lot of flexibility, and you can do a lot of things over here.

MongoDB + Apache Drill

You can choose this option if you can accomplish your goal with JPA or SQL queries and you are more familiar with RDBMS queries.

Additional benefit: You can use dig to query across additional data sources such as hive/HDFS or RDBMS in addition to MongoDB in the future.


Ques. 18): What is an example of a real-time use of Apache Drill? What makes Drill superior to Hive?


Hive is a batch processing framework that is best suited for processes that take a long time to complete. Drill outperforms Hive when it comes to data exploration and business intelligence.

Drill is also not exclusive to Hadoop. It can, for example, query NoSQL databases (such as MongoDB and HBase) and cloud storage (eg, Amazon S3, Google Cloud Storage, Azure Blob Storage, Swift).


Ques. 19): Is Cloudera Impala similar to the Apache Drill incubator project?


It's difficult to make a fair comparison because both initiatives are still in the early stages. We still have a lot of work to do because the Apache Drill project was only started a few months ago. That said, I believe it is critical to discuss some of the Apache Drill project's techniques and goals, which are critical to comprehend when comparing the two:

  • Apache Drill is a community-driven product run under the Apache foundation, with all the benefits and guarantees it entails.
  • Apache Drill committers are scattered across many different companies.

Apache Drill is a NoHadoop (not just Hadoop) project with the goal of providing distributed query capabilities across a variety of large data systems, including MongoDB, Cassandra, Riak, and Splunk.

  • By supporting all major Hadoop distributions, including Apache, Hortonworks, Cloudera, and MapR, Apache Drill avoids vendor lock-in.
  • Apache Drill allows you to do queries on hierarchical data.
  • JSON and other schemaless data are supported by Apache Drill.
  • The Apache Drill architecture is built to make third-party and custom integrations as simple as possible by clearly specifying interfaces for query languages, query optimizers, storage engines, user-defined functions, user-defined nested data functions, and so on.

Clearly, the Apache Drill project has a lot to offer and a lot of qualities. These things are only achievable because of the enormous amount of effort and interest that a big number of firms have begun to contribute to the project, which is only possible because of the Apache umbrella's power.


Ques. 20): Why is MapR mentioning Apache Drill so much?


Originally Answered: Why is MapR mentioning Apache Drill so much?

Drill is a new and interesting low latency SQL-on-Hadoop solution with more functionality than the other options available, and MapR has done it in the Apache Foundation so that it, like Hive, is a real community shared open source project, which means it's more likely to gain wider adoption.

Drill is MapR's baby, so they're right to be proud of it - it's the most exciting thing to happen to SQL-on-Hadoop in years. They're also discussing it since it addresses real-world problems and advances the field.

Consider Drill to be what Impala could have been if it had more functionality and was part of the Apache Foundation.