Integrate Vertica Analytics Platform with UserVoice
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.
UserVoice offers product developers a single interface that collects and analyzes customer feedback from a variety of sources. This gives product makers clear, actionable insights into how to improve their offerings. UserVoice eliminates the need to send out surveys, log emails, and search through message boards when trying to understand customer experiences. When a customer reports a complaint or submits an enhancement request through UserVoice, the customer stays in the loop with updates on how their submission is being considered and resolved. This boosts customer engagement and willingness to provide feedback and ideas for product improvement in the future.
Popular Use Cases
Bring all your UserVoice data to Amazon Redshift
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Move your UserVoice 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.
UserVoice's End Points
UserVoice Turnkey Install-less Feedback
UserVoice includes a custom-brandable, stand-alone web portal, where your customers can go to provide direct feedback. Users can type in their feedback while receiving auto-suggestions to match their feedback with existing user suggestions. This reduces the chance of feedback duplication and facilitates the surfacing of top ideas. If an issue or enhancement suggestion doesn't exist, users can add a new one. Then, other customers can upvote the suggestion to help you understand the requests to address with the highest priority.
UserVoice In-App Feedback Channel Integration
UserVoice Contributor Sidebar
The Contributor Sidebar is a UserVoice web browser extension that customer-facing teams can use to relay the feedback they capture while interacting with customers. Instead of needing to send an email or drop a post-it note off on a manager's desk, sales associates and customer-facing reps can submit feedback and ideas about enhancement requests and areas for product improvements into the UserVoice system. The Contributor Sidebar browser extension also allows sales teams to connect the feedback they send to an actual customer, who will receive email updates on the status of his or her enhancement request. The sidebar also keeps customer-facing teams in the loop on new developments and progress so they can communicate news to the customers they interact with.
UserVoice Metrics on Product Improvement Opportunities
UserVoice analyzes and groups incoming feedback into easy-to-understand product improvement suggestions, so development teams can understand the number of customers requesting the same improvements. Through visual metrics, graphs, and charts, UserVoice presents valuable information, such as the revenue represented by the customers making specific enhancement requests and how many users want those improvements. This empowers development teams to prioritize the most valuable improvement opportunities.