Integrate Vertica Analytics Platform with Heroku Connect
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.
About Heroku Connect
Heroku Connect is a data integration tool that uses bi-directional synchronization between Salesforce and Heroku Postgres to harmonize Postgres data your Salesforce information like contacts, accounts, and custom objects. Heroku connect includes a user-friendly, point-and-click interface so non-tech-savvy users can set up the service in minutes without coding or complicated configuration procedures.
Popular Use Cases
Bring all your Heroku Connect data to Amazon Redshift
Load your Heroku Connect data to Google BigQuery
ETL all your Heroku Connect data to Snowflake
Move your Heroku Connect 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.
Heroku Connect's End Points
Heroku Connect Synchronization of Apps Across Heroku and Salesforce
Heroku Connect allows you to build apps with open source stacks, natively integrate the apps with Postgres, and directly sync them with Salesforce. By integrating your Salesforce data with Heroku Postgres, it's easy to combine the power of the Lightning Platform with Heroku. Heroku Connect makes the process of building apps that bring your data and processes to your users as easy as coding in SQL.
Heroku Connect External Objects
Heroku Connect External Objects let you make your Heroku Postgres database information available inside your Salesforce deployment. This empowers you to synchronize your information across both platforms as you create, read, update, and delete data. By creating sophisticated applications inside Heroku and making the app data available to your Salesforce processes, you'll present a seamless experience in Salesforce, while all of your data stays inside Heroku Postgres. Moreover, configuring Heroku-Salesforce integrations for data pertaining to apps, sensors, customers, and products is a simple, point-and-click process that doesn't require any coding skills. Heroku External Objects combined with Salesforce Connect makes it easy to create a seamless experience across all of your business systems.
Heroku Connect Data Security Compliance
Heroku Shield Connect supports the development of applications that share sensitive data with Salesforce while complying with the strictest data security standards. Safely integrate CRM data, Protected Health Information (PHI), Personally Identifiable Information (PII), contact information, account data, and custom objects between Heroku apps and Salesforce. Heroku Shield Connect provides an easy pathway for building advanced applications that need to adhere to the most complicated data security regulations, including HIPAA compliance.
Heroku Connect Easy Application Development and Scaling
Through its compatibility with the most popular stacks and programming languages, Heroku Connect facilitates easy application development. Its add-on ecosystem includes your favorite development tools and databases (like New Relic, Mongo, and Redis) so you can use them with the applications you're creating. Through Heroku's proven infrastructure, which currently supports 26 billion daily transactions for massive consumer websites (such as Upworthy and Bonobo) virtually limitless scaling is available for high volume applications.