Connect Vertica Analytics Platform to Help Scout

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Vertica Analytics Platform
+
Help Scout
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About Vertica Analytics Platform

Extract, transform, and load data to Vertica. Ingest data from Vertica and load to other destinations.

About Help Scout

Help Scout help desk software provides businesses with marketing automation, reports, live chat features, and more that help them increase internal productivity and personalize customer interactions. In the big picture, this allows them to streamline their communications and hone long-term strategies, thereby improving customer satisfaction and sending more effective communications.

Popular Use Cases

Bring all your Help Scout data to Amazon Redshift

Load your Help Scout data to Google BigQuery

ETL all your Help Scout data to Snowflake

Move your Help Scout data to MySQL

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, Integrate.io's ETL-as-a-service tool offers a native integration to connect with Vertica.

Help Scout's End Points

Help Scout Conversations
List, retrieve, create, or update conversations to keep your team on the same page, and use built-in chat and features to make conversations with customers more efficient, useful, and effective.
Help Scout Threads
Create conversation threads, update thread text, and retrieve the original thread text to stay on top of customer interactions and maintain communications over time.
Help Scout Attachments
Move and add Help Scout attachments easily and effectively to ensure efficient communications and send targeted, personalized messages.

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Integrates With

8x8
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GitHub
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GoodData
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Google Analytics
Google BigQuery
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Google Cloud SQL for PostgreSQL
Google Cloud Spanner
Google Cloud Storage
Google Drive
Google Hotel Price
Google My Business
Google Sheets
HDFS
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Harvest
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Heap
Help Scout
Heroku Connect
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HubSpot
IBM DB2
Intercom
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Iterable
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LivePerson
Loggly
Looker
MS SQL
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MailChimp
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Marketo
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Microsoft Ads
Microsoft Azure Blob Storage
Microsoft Azure SQL Database
Mixpanel
Mode
MongoDB
MongoDB Atlas
MySQL
NetSuite
Oracle
Oracle Responsys
Outbrain
Papertrail
Pendo
Periscope Data
Pinterest
Pipedrive
PostgreSQL
QlikView
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QuickBooks
RESTful API
Recurly
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SFTP
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Slack
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Snowflake
Coming Soon
Square
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