Securely integrate Vertica Analytics Platform with HubSpot
About Vertica Analytics Platform
Vertica Analytics Platform is a data warehouse management system optimized for large-scale, rapidly-growing datasets. By using a column-oriented architecture (instead of row-oriented), Vertica can offer high-speed query performance for your business intelligence, machine learning, and other query-intensive systems. Vertica is compatible with a variety of cloud data warehouse servers such as Google Cloud Platform, Amazon Elastic Compute Cloud, Microsoft Azure, and on-premises. The platform also offers its “Eon Mode,” which achieves optimum performance by separating computational processes from storage processes. Eon Mode is available when hosting the platform on AWS or when using Pure Storage Flashblade on-premises. Vertica is an open-source product that is free to use up to certain data limitations.
Hubspot’s services are centered around sales and marketing tools that help a company refocus their marketing efforts into inbound marketing. With Hubspot, a company can create content that attracts leads that are already interested in that company’s products and services. Then, users can take advantage of Hubspot’s marketing tools to collect contact information and customize visitors’ experiences so that they are more likely to make the conversion from interested leads into happy customers.
Popular Use Cases
Bring all your HubSpot data to Amazon Redshift
Load your HubSpot data to Google BigQuery
ETL all your HubSpot data to Snowflake
Move your HubSpot data to MySQL
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Vertica Analytics Platform's End Points
Vertica Massively Parallel Processing (MPP)
Through its MPP architecture, Vertica distributes requests across different nodes. This brings the benefit of virtually unlimited linear scalability.
Vertica Column-Oriented Storage
Veritica's column-oriented storage architecture provides faster query performance when managing access to sequential records. This advantage also has the adverse effect of slowing down normal transactional queries like updates, deletes, and single record retrieval.
Vertica Workload Management Automation
With its workload management features, Vertica allows you to automate server recovery, data replication, storage optimization, and query performance tuning.
Vertica Machine Learning Capabilities
Vertica includes a number of machine learning features in-database. These include 'categorization, fitting, and prediction,' which bypasses down-sampling and data movement for faster processing speed. There are also algorithms for logistic regression, linear regression, Naive Bayes classification, k-means clustering, vector machine regression/classification, random forest decision trees, and more.
Vertica In-Built Analytics Features
Through its SQL-based interface, Vertica provides developers with a number of in-built data analytics features such as event-based windowing/sessionization, time-series gap filling, event series joins, pattern matching, geospatial analysis, and statistical computation.
Vertica SQL-Based Interface
Vertica's SQL based interface makes the platform easy to use for the widest range of developers.
Vertica Shared-Nothing Architecture
Vertica's shared-nothing architecture is a strategy that lowers system contention among shared resources. This offers the benefit of slowly lowering system performance when there is a hardware failure.
Vertica High Compression Features
Vertica batches updates to the main store. It also saves columns of homogenous data types in the same place. This helps Vertica achieve high compression for greater processing speeds.
Vertica Kafka and Spark Integrations
Vertica features native integrations for a variety of large-volume data tools. For example, Vertica includes a native integration for Apache Spark, which is a general-purpose distributed data processing engine. It also includes an integration for Apache Kafka, which is a messaging system for large-volume stream processing, metrics collection/monitoring, website activity tracking, log aggregation, data ingestion, and real-time analytics.
Vertica Cloud Platform Compatibility
Vertica runs on a variety of cloud-based platforms including Google Cloud Platform, Microsoft Azure, Amazon Elastic Compute Cloud, and on-premises. It can also run natively using Hadoop Nodes.
Vertica Programming Interface Compatibility
Vertica is compatible with the most popular programming interfaces such as OLEDB, ADO.NET, ODBC, and JDBC.
Vertica Third-Party Tool Compatibility
A large number of data visualization, business intelligence, and ETL (extract, transform, load) tools offer integrations for Vertica Analytics Platform. For example, Xplenty's ETL-as-a-service tool offers a native integration to connect with Vertica.
HubSpot's End Points
See information on your various email campaigns and judge their large-scale success based on the status of the emails in that campaign i.e.how many emails were sent, delivered, opened, etc.
Retrieve basic contact information like name, e-mail, unique ID, etc. This allows you to track those contacts in a number of other fields, which will help you score leads and gauge how effectively your customer interactions are translating into sales.
HubSpot Contact list
Group your contacts together automatically based on a set of criteria - such as their lifecycle stage - or add them to a list manually. Then, use those lists to design targeted customer interactions, such as email campaigns.
Track the status of various email subscriptions through a range of data, including who is subscribing, when emails are being sent and how the recipient is responding to the emails i.e.remaining subscribed, unsubscribing, reporting the email as spam, etc.
HubSpot Email Events
Observe the activity on an individual email event. You can track the recipients and campaigns that those events are linked to and then see how the recipients interacted with the event i.e. if they opened the email, printed it, marked it as spam, forwarded it, etc.
Create a company entity in Hubspot by providing details, such as name, ID, and relevant description. You can access that company record to maintain and retrieve related data (such as associated contacts) which can then be tracked, analyzed, and/or integrated with other data sources.
Track the progress of a deal in your HubSpot pipeline, allowing you to see which contacts and companies are associated with the deal, what pipeline the deal belongs to, and its current stage in the pipeline.