Integrate Vertica Analytics Platform with Clearbit
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.
Clearbit is a data vendor that offers advanced tools for capturing and enriching visitor data. It can turn anonymous visitors into leads, qualify and enrich existing leads, and ensure that contact data is accurate and up-to-date. Beyond that, Clearbit also allows you to search its growing database of companies to find new leads, rather than relying on traditional search methods.
Popular Use Cases
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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.
Clearbit's End Points
Get a risk score for a new signup by checking their email and IP address against a number of factors, including if their name matches their email, if the email address is disposable, and if the IP or email address is blacklisted. Then, use that information to decide if you want to require additional security measures, request authentication or completely deny access to the user.
Search for a company associated with an IP address that visited your site, allowing you to create a new lead from an anonymous visit. Specifically, Clearbit will take that IP address and return any available company information - such as company name, domain, and associated tags - and company metrics, such as amount raised and number of employees.
Retrieve a list of contacts by searching for specific parameters like company, job title, or role. Clearbit will then provide you with contact cards for any contacts that fit those parameters, including their names, emails, associated companies, and phone numbers.
Find a company’s logo via the company’s domain. Clearbit will return a logo by searching through various sources, including social media accounts. You can also use this feature to directly inform Clearbit of a logo that you would prefer them to use for your company.
Find companies that meet a specific set of criteria, such as size, location, or industry. This will allow you to discover a group of new leads rather than having to manually track them down one by one.
Use a person’s email address or a company’s domain name - and, optionally, more detailed information - to enrich their contact information. Clearbit will return a variety of data including names, locations, social media info, and phone numbers.
Provide Clearbit with a partial company name in order to retrieve more complete company information. This can return the company’s full name, domain, and logo, which you can use to gather more company information through enrichment tools.