HPE Vertica Analytics Platform in IoT Analytics

HPE Vertica Analytics Platform
California, USA
$10BN to $50BN
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HPE Vertica Analytics Platform USP

HPE provides Vertica Analytics Platform and Universal IoT Platform as its AoT offerings. The platforms offer data visualization for representation of data in pictorial or graphical format and offer in-memory analytics for faster data processing. The platforms are powered with data engines which process thousands of rows, utilizing the full system, for achieving fast query processing. They support a variety of data sources, such as Excel spreadsheets, flat files, and Hadoop.
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HPE Vertica Analytics Platform runs on the HPE Edgeline EL4000 system to deliver predictive and historical analytic insights using machine learning algorithms. HPE provides customer and sales support, comprising product support, HPE community, software expert community, and security software community. Organizations can make use of HPE on-premises, on Hadoop, or cloud deployment model to make use of its AoT solutions.


Vertica Advanced Analytics Platform is a column-oriented, relational database built specifically to handle today’s analytic workloads. Unlike commercial and open-source row stores, which were designed long ago to support small data, the Vertica Advanced Analytics Platform provides customers with:

  • Complete and advanced SQL-based analytical functions to provide powerful SQL analytics
  • A clustered approach to storing Big Data, offering superior query and analytic performance
  • Better compression, requiring less hardware and storage than comparable data analytics solutions
  • Flexibility and scalability to easily ramp up when workloads increase
  • Better load throughput and concurrency with querying
  • In-database machine learning algorithms and R, Python extensibility
  • Less intervention with a database administrator (DBA) for overhead and tuning

360 Quadrants

Strengths and Weaknesses
  • +10 Batch Data Processing
  • +12 Directly
  • +11 Real-time Streaming Data Processing (Data-in-Motion)
  • +6 Semi-Structured Data
  • +7 Unstructured Data
  • +8 Hosted / On-Cloud
  • +10 Descriptive Analytics
  • +12 Predictive Analytics
  • +9 Databases
  • +7 Programming Language (such as R, Python, Java)
  • +12 Remote Support
  • +10 Servers (such as Hadoop, Apache)
  • +8 Operations/Production
  • +9 Product Development
  • +14 Sales
  • +10 Subscription / Licensing
  • +7 Customizable Dashboard
  • +8 Data Quality
  • +14 Data Visualization
  • +13 Image
  • -13 Through Partners / Third-Party Vendors
  • -5 Structured Data
  • -7 On-Premise
  • -11 Diagnostics Analytics
  • -13 Prescriptive Analytics
  • -8 Microsoft Corporation Office (including Spreadsheet)
  • -11 On-Site Support
  • -11 Any other Integration type
  • -11 Customer Service
  • -6 Finance
  • -9 Full Time Equivalent
  • -7 Human Resources (HR)
  • -5 Marketing
  • -11 Per User Basis
  • -10 Supply Chain
  • -8 Charts and Graphs
  • -9 Data Profiling
  • -11 Data Virtualization
  • -6 Location
  • -5 Speech/Audio
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HPE Vertica Analytics Platform presence in IoT Analytics Software

HPE has a strong presence in the Americas, EMEA, and APAC, through a wide network of VARs and distributors. The company mainly caters to healthcare and life sciences, government, BFSI, telecommunications and IT, education, retail, and gaming verticals. Sales, marketing, and distribution of HPE’s products are fulfilled directly by the company or indirectly through a variety of partners such as resellers who sell HPE’s products and services with its own value-added products or services, distribution partners who sell HPE’s solutions to resellers, OEMs, or system integrators. Hewlett Packard Labs, together with various research and development groups within its business segments, are responsible for the company’s R&D efforts to come up with innovative solutions. The company adopts both organic and inorganic growth strategies to expand its customer base. For instance, the February 2017 launch of IoT platform enabled HPE to add solutions to its portfolio which secures sensitive information generated through IoT devices. The acquisition of Niara in February 2017 helped HPE make use of Niara’s User and Entity Behaviour Analytics (UEBA) to secure its clients’ sensitive information from cyber-attacks.

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