Connect Vertica Analytics Platform to Heroku Postgres
These companies automate their data pipelines using Integrate.io
About Vertica Analytics Platform
Extract, transform, and load data to Vertica. Ingest data from Vertica and load to other destinations.
About Heroku Postgres
A common component of many of our Salesforce clients’ architectures. Use as both a source and a destination for ultimate flexibility.
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.
Heroku Postgres's End Points
Table of Contents
- Connect operational data to Heroku Postgres data for a single source of truth
- ETL data from Heroku Postgres in minutes
- Integrate.io has the Heroku Postgres data integrations you need
- How Integrate.io customers power growth with its Heroku Postgres connector
- Get started moving data in minutes
- Why choose Integrate.io for Heroku Postgres data integration?
- Get started on Heroku Postgres data integration
- Check out our latest Heroku Postgres-related articles
Connect operational data to Heroku Postgres data for a single source of truth
One popular use case of Heroku Postgres ETL is moving data from the high-availability database-as-a-service to a supported data warehouse. That data includes all the marketing information you process, manage, and store in your organization. Integrate.io makes this possible with its connector available out of the box. You can create a single source of truth for marketing data in a data warehouse and run that data through business intelligence tools.
- ETLing Heroku Postgres data sets to a supported target system like a warehouse provides a single reference point for all the marketing data that flows through your organization. Benefit from enhanced storage and better business intelligence after investing in data warehousing.
- Integrate.io's native ETL connector moves marketing data to a warehouse, allowing you to run that data through business intelligence tools like Tableau, Looker, and Microsoft Power BI.
- The latest BI tools provide you with 360-degree visibility into Heroku Postgres data. View marketing metrics and key performance indicators on dashboards, reports, charts, graphs, and heatmaps. Then share these data insights with marketers and stakeholders for better organizational decision-making!
ETL data from Heroku Postgres in minutes
ETLing data from the Heroku Postgres database to a supported warehouse has never been easier. Integrate.io can execute this process n as little as a few minutes!
- Integrate.io extracts data from your version of a Heroku Postgres database and temporarily places it in a staging area.
- Integrate.io transforms the data into the most appropriate and effective format for analysis. The platform can also enhance data quality, compliance, and compatibility with data governance legislation like GDPR, CCPA, and HIPAA.
- Integrate.io loads data into a warehouse. Then you can push data through BI tools and make better organizational decisions that grow your business!
Integrate.io has the Heroku Postgres data integrations you need
Integrate.io's pre-built connector ETLs data to and from Heroku Postgres the way you like. Filter the data you want to transfer and optimize the data integration process from extraction to analysis.
Examples of Integrate.io Heroku Postgres data integrations
Examples of Integrate.io Heroku Postgres data integrations
How Integrate.io customers power growth with its Heroku Postgres connector
Want to ETL data to/from Heroku Postgres but not sure what data integration platform to use? Integrate.io lets you achieve the following goals:
- Create streamlined workflows that automate data integration, regardless of your Heroku Postgres plan. Prepare and manage data sets for storage and analytics with Integrate.io's powerful and customizable Heroku Postgres connection.
- Remove data silos that exist in your organization with Integrate.io. The data pipeline platform transfers data from isolated locations and legacy systems, providing you with long-lasting performance benefits.
- Eliminate human error that happens during manual ETL and optimize data quality.
- Simplify data integration with Integrate.io's point-and-click drag-and-drop interface. Team members can use this platform even if they lack experience in data engineering!
Get started moving data in minutes
It's time to transfer data to and from Heroku Postgres! Enter a few details about your business and talk to an expert who will help you decide on the best data integration methods and technologies for your specific use case. Successful integration starts here.
Why choose Integrate.io for Heroku Postgres data integration?
World-class customer support
Want to learn more about Integrate.io features or troubleshoot data integration bottlenecks? You can contact an Integrate.io team member via phone, email, or live chat and access tutorials, resources, and FAQs.
Customize integration notifications
Customize Integrate.io alerts based on your requirements and only receive relevant and critical notifications during the Heroku Postgres data integration process.
Security you can count on
Get ongoing peace of mind with Integrate.io's field-level hashing, data encryption, and other security features.
REST API connector
Need a data connector? Don't see one listed for your use case on Integrate.io? Create your own! The platform's REST API connector pulls data from almost any data source that has a REST API.
Pre-built connectors
Integrate.io doesn't just specialize in Heroku Postgres data integration. Access pre-built connectors for Amazon Redshift (AWS), Azure Blog Storage, Shopify, Google Analytics, Facebook, IBM Db2, Salesforce, Amazon S3, Instagram, and many other popular services.
Want to learn more about Integrate.io features or troubleshoot data integration bottlenecks? You can contact an Integrate.io team member via phone, email, or live chat and access tutorials, resources, and FAQs.
Customize integration notifications
Customize Integrate.io alerts based on your requirements and only receive relevant and critical notifications during the Heroku Postgres data integration process.
Security you can count on
Get ongoing peace of mind with Integrate.io's field-level hashing, data encryption, and other security features.
REST API connector
Need a data connector? Don't see one listed for your use case on Integrate.io? Create your own! The platform's REST API connector pulls data from almost any data source that has a REST API.
Pre-built connectors
Integrate.io doesn't just specialize in Heroku Postgres data integration. Access pre-built connectors for Amazon Redshift (AWS), Azure Blog Storage, Shopify, Google Analytics, Facebook, IBM Db2, Salesforce, Amazon S3, Instagram, and many other popular services.
Get started on Heroku Postgres data integration
Integrate.io's native bi-directional out-of-the-box data connector gives you more value from this PostgresSQL-compatible database-as-a-service. Sign up for an ETL trial setup meeting today!
Check out our latest Heroku Postgres-related articles
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