Talking about AWS Marketplace is a passion of mine. I view it as AWS’ gift to the business world. No other cloud provider has the authority and influence to attract over a thousand technology partners and independent software vendors (ISVs) from popular vendors that have licensed and packaged their software to run on AWS, have integrated their software with AWS capabilities, or to deliver add-on services that benefit their customers as greatly as AWS does through the AWS Marketplace. The AWS Marketplace is the largest “app store” in the world, regardless of being strictly a B2B app store!

This translates to the best & most popular software vendors going to great lengths to alter their software to seamlessly integrate with other AWS Services and run seamlessly on the AWS cloud. Only AWS has the prominence and much deserved reputation being a total customer-centric company that’s necessary to attract such renown ISVs, and for each one to take the time required to be offered in AWS Marketplace.

The AWS Marketplace facilitates the discovery, purchasing and deployment of BI and Big Data solutions (and many more categories) on AWS, and migrate or get the business intelligence and data analytics solutions you want in minutes… and pay only for what you consume.
For those of you who haven’t heard about AWS Marketplace or dismiss it (for any number of pre-conceived ideas) as another “That’s how they get you!” thought, let me explain the facts, the benefits, and how to navigate AWS Marketplace. Please read on: AWS Marketplace has more than 100,000 active customers who use 300M compute hours/month deployed on Amazon EC2, with more than 3,000 listings from over 1,000 popular software vendors (not including the new SaaS launch that occurred in late November, 2016.)

Since AWS resources can be instantiated in seconds, you can treat these as “disposable” resources – not hardware or software you’ve spent months deciding which to choose and spending a significant up-front expenditure without knowing if it will solve your problems. The “Services not Servers” mantra of AWS provides many ways to increase developer productivity, operational efficiency and the ability to “try on” various solutions available on AWS Marketplace to find the perfect fit for your business needs without commitment to long-term contracts.

1-Click, on-demand infrastructure through software solutions on AWS Marketplace allows iterative, experimental deployment and usage to take advantage of advanced analytics and emerging technologies within minutes, paying only for what you consume, by the hour or by the month.

The vast majority of big data use cases deployed in the cloud today run on AWS, with unique customer references for big data analytics, of which 67 are household names. AWS has over 50 Services and hundreds of features to support virtually any big data application and workload. When you combine the managed AWS services with software solutions available on AWS Marketplace, you can get the precise business intelligence and big data analytical solutions you want that augments and enhances your project beyond what the services themselves provide. There are over 290 big data solutions in AWS Marketplace. Therefore, you get to data-driven results faster by decreasing the time it takes to plan, forecast, and make software provisioning decisions. This greatly improves the way you build business analytics solutions and run your business.

You can read the whitepaper on AWS Big Data Analytics Leveraging the AWS Marketplace, where I’m an author, by going to –> scroll to the bottom under “Additional Resources”, & click on “Download Solution Overview”. Below is a screenshot of the first page:

I'm an Contributor of this "Business Intelligence & Big Data on AWS, Leveraging ISV AWS Marketplace Solutions" Whitepaper

I’m an Contributor of this “Business Intelligence & Big Data on AWS, Leveraging ISV AWS Marketplace Solutions” Whitepaper

Below are just a fraction of example solutions you can achieve when using AWS Marketplace’s software solutions with AWS big data services:

You can:

  • Launch pre-configured and pre-tested experimentation platforms for big data analysis
  • Query your data where it sits (in-datasource analysis) without moving or storing your data on an intermediate server while directly accessing the most powerful functions of the underlying database
  • Perform “ELT” (extract, load, and transform) vs. “ETL” (extract, transform, and load) your data into Amazon’s Redshift data warehouse so the data is in its original form, giving you the ability to perform multiple data warehouse transforms on the same data
  • Have long-term connectivity among many different databases
  • Ensure your data is clean and complete prior to analysis
  • Visualize millions of data points on a map
  • Develop route planning and geographic customer targeting
  • Embed visualizations in applications or stand-alone applications
  • Visualize billions of rows in seconds
  • Graph data and drill into areas of concern
  • Have built-in data science
  • Export information into any format
  • Deploy machine-learning algorithms for data mining and predictive analytics
  • Meet the needs of specialized data connector requirements
  • Create real-time geospatial visualization and interactive analytics
  • Have both OLAP and OLTP analytical processing
  • Map disparate data sources (cloud, social, Google Analytics, mobile, on-prem, big data or relational data) using high-performance massively parallel processing (MPP) with easy-to-use wizards
  • Fine-tune the type of analytical result (location, prescriptive, statistical, text, predictive, behavior, machine learning models and so on)
  • Customize the visualizations in countless views with different levels of interactivity
  • Integrate with existing SAP products
  • Deploy a new data warehouse or extend your existing one

Amazon EC2 provides an ideal platform for operating your own self-managed big data analytics applications on AWS infrastructure. Almost any software you can install on Linux or Windows virtualized environments can be run on Amazon EC2 with a pay-as-you-go pricing model with a solution available on AWS Marketplace. Amazon EC2 uses the implemented architecture to distribute computing power across parallel servers to execute the algorithms in the most efficient manner.

Some examples of self-managed big data analytics that run on Amazon EC2 include the following:

  • A Splunk Enterprise Platform, the leading software platform for real-time Operational Intelligence. Splunk software and cloud services enable organizations to search, monitor, analyze and visualize machine-generated big data coming from websites, applications, servers, networks, sensors and mobile devices. A Splunk Analytics for Hadoop, within AWS, solution is available on AWS Marketplace also. It’s called Hunk and it enables interactive exploration, analysis, and data visualization for data stored in Amazon EMR and Amazon S3
  • A Tableau Server Data Visualization Instance, for users to interact with pre-built data visualizations created using Tableau Desktop. Tableau server allows for ad-hoc querying and data discovery, supports high-volume data visualization and historical analysis, and enables the creation of reports and dashboards
  • A SAP HANA One Instance, a single-tenant SAP HANA database instance that has SAP HANA’s in-memory platform, to do transactional processing, operational reporting, online analytical processing, predictive and text analysis
  • A Geospatial AMI such as MapLarge, that brings high-performance, real-time geospatial visualization and interactive analytics. MapLarge’s visualization results are useful for plotting addresses on a map to determine demographics, analyzing law enforcement and intelligence data, delivering insight to public health information, and visualizing distances such as roads and pipelines
  • An Advanced Analytics Zementis ADAPA Decision Engine Instance, which is a platform and scoring engine to produce Data Science predictive models that integrate with other predictive models like R, Python, KNIME, SAS, SPSS, SAP, FICO and more. Zementis ADAPA Decision Engine can score data in real-time using web services or in batch mode from local files or data in Amazon S3 buckets. It provides predictive analytics through many predictive algorithms, sensor data processing (IoT), behavior analysis, and machine learning models
  • A Matillion Data Integration Instance, an ELT service natively built for Amazon Redshift, that uses Amazon Redshift’s processing for data transformations to utilize it’s blazing speed and scalability. Matillion gives the ability to orchestrate and/or transform data upon ingestion or simply load the data so it can be transformed multiple times as your business requires

Below is an AWS Marketplace brochure explaining the benefits of using Marketplace solutions for big data analytics (that can also be found on the “BI & Big Data Landing Page” if you scroll to the bottom of the page & click on “Download PDF Poster“.

Benefits of AWS Marketplace in Analytical Solutions

Poster on the Benefits of AWS Marketplace in Analytical Solutions

The Main Categories on AWS Marketplace

AWS Marketplace has solutions for big data analytics, but listed below are all of the main sections, with links to each topics’ respective landing pages:

Breaking Down the Main AWS Marketplace Categories to Specific Functionalities:

Security Solutions:

Network Infrastructure Solutions:

Storage Solutions:

BI and Big Data Solutions:

Database Solutions:

Application Development Solutions:

Content Delivery Solutions:

Mobile Solutions:

Microsoft Solutions (note: the list of  “Third-Party Software Products” is a small fraction of the AWS Marketplace solutions that run on Microsoft Servers):

  • Microsoft Workloads:
    • Windows Server (many editions, type “Windows Server” into AWS Marketplace search bar)
    • Exchange Server
    • Microsoft Dynamics (many editions, type “Microsoft Dynamics” into AWS Marketplace search bar)
    • Microsoft SQL Server  (many editions, type “SQL Server” into AWS Marketplace search bar)
    • SharePoint (many editions, type “SharePoint” into AWS Marketplace search bar)
  • Third-Party Software Products:

Migration Solutions:

I hope you read through the entire post, and that you now realize how much time, frustration, configuration, and money you can save by using the preconfigured software solutions available at AWS Marketplace, only paying for what you use!

Why do it any other way?

Using Pre-Configured Software Solutions from AWS Marketplace with 1-Click Deployments & Paying by the Hour - Why Do It Any Other Way???

Using Pre-Configured Software Solutions from AWS Marketplace with 1-Click Deployments & Paying by the Hour – Why Do It Any Other Way???

Read the previous post here.

#gottaluvAWS! #gottaluvAWSMarketplace!

This entry was posted in 1-Click to Deploy Software Solutions for Your Choosing Paid for by the Hour, Amazon EC2 On-Demand Instances, Amazon Web Services, Amazon Web Services Analytic Services, AWS Analytic Services, AWS Analytics, AWS BI, AWS Business Value, AWS Data Collection, AWS Marketplace, AWS Marketplace FAQs, AWS Marketplace Security Solutions, Cloud Computing, Faster Time to Data-Driven Results, Faster Time to ROI, How to Find AWS Marketplace Category Langing Pages, How to Find AWS Marketplace Preferred Vendors, List of Main Vendors by Category AWS Marketplace, Making Your IT Life Simpler with AWS Marketplace. Bookmark the permalink.


  1. Abhiram says:

    Hello There,

    Muchas Gracias Mi Amigo! You make learning so effortless. Anyone can follow you and I would not mind following you to the moon coz I know you are like my north star.
    I am unable to connect to a database. I tried to add a connection and the database I connected to is no longer available in the Database dropdown menu option. However, I can log on to Hive Impala and view the databases.I had no connection issues on Friday, then I had issues on Monday. I made no changes to the connection.
    It was cool to see your article pop up in my google search for the process yesterday. Great Guide.

    Keep up the good work!



  2. Abhiram says:

    Hi There,

    Thank you for making your blogs an embodiment of perfection and simplicity. You make everything so easy to follow.

    I feel like what I’m trying to do is pretty simple but just can’t find a solution. I have a success rate that’s imported into my data on a monthly basis. I want a chart that says Feb 2018’s percentage was 45% and Feb 2017’s percentage was 42%. The challenge is I’d like when my March data is uploaded for the chart to automatically recognize that it’s March and show that March 2018’s percentage is 52% and March 2017’s percentage was 54%. Any idea how to do this?
    Very useful article, if I run into challenges along the way, I will share them here.

    Many Thanks,


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