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.
Pendo is a cloud-based software-as-a-service (SaaS) platform that integrates your application and webpage usage analytics with feedback, guidance, and communication from end-users. The solution empowers you to understand the way customers are using your product, how they feel about it, and what their experiences are like without overburdening your engineering team. Pendo provides your development team with the insights they need to dramatically improve applications, websites, and user experiences. The platform also keeps your customers informed about product enhancements and key developments as you release them.
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Through its MPP architecture, Vertica distributes requests across different nodes. This brings the benefit of virtually unlimited linear scalability.
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.
With its workload management features, Vertica allows you to automate server recovery, data replication, storage optimization, and query performance tuning.
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.
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's SQL based interface makes the platform easy to use for the widest range of developers.
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 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 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 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 is compatible with the most popular programming interfaces such as OLEDB, ADO.NET, ODBC, and JDBC.
A large number of data visualization, business intelligence, and ETL (extract, transform, load) tools offer integrations for Vertica Analytics Platform. For example, Integrate.io's ETL-as-a-service tool offers a native integration to connect with Vertica.
Pendo includes tools to track metrics on total web traffic, user engagement, session length, per session page views, scrolling behavior, bounce and rates, conversion figures, standard user actions, actions that lead to conversion, and more. Pendo also monitors where your traffic is coming from, how people enter your site, and at which point they leave. Then it presents the data in elegant, easy-to-understand visual reports.
Pendo allows you to deploy NPS and polls directly to users in-application to produce better and more accurate results. You can target specific users based on product interactions or user characteristics to obtain the specific feedback you require. Pendo's user sentiment surveys empower you to combine survey responses with user behavior data to gain a more three-dimensional understanding of your customers. By merging quantitative and qualitative survey data, you'll gain a clearer picture of what pleases and displeases users to reveal actionable opportunities to adjust your products for improved customer conversion, increased retention, and more profitable business results.
Pendo offers built-in ETL (extract, transform, load) connections to integrate with a wide variety of platforms such as Slack, Segment, Fivetran, Fullstory, LaunchDarkley, Google BigQuery, DOMO, Drift, Looker, Amazon Redshift, Salesforce, UserVoice, WordPress, Zapier, Zendesk, and more.
Pendo includes tools to coordinate your team around a central planning roadmap informed by the metrics and insights the platform generates. Roadmapping features include the ability to visualize your product development strategy and organize your plans around product enhancements, timeline, team, and market segment. You can also manage which teams can access different views of the plan, and streamline views for stakeholders so they're overload with information. Pendo's drag-and-drop functionality empowers non-tech-savvy users to create and manage roadmaps.