Connect Vertica Analytics Platform to Dundas BI

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Vertica Analytics Platform
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Dundas BI
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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 Dundas BI

As a visually-focused business intelligence platform for enterprises, Dundas BI includes customizable dashboards, stunning visual analytics, and multi-age reports to present your data in a way that drives faster decisions. Through its customizable and interactive charts, maps, scorecards, gauges, and other features, Dundas BI offers fully open APIs and built-in functionality so users can finetune nearly every aspect of their visual presentations.

Popular Use Cases

Bring all your Dundas BI data to Amazon Redshift

Load your Dundas BI data to Google BigQuery

ETL all your Dundas BI data to Snowflake

Move your Dundas BI 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.

Dundas BI's End Points

Dundas BI Customizable Dashboards
Dundas BI features real-time, self-service dashboards that measure vital performance and business metrics — so you can visualize, analyze, and understand information from different business systems on a single dashboard. The service allows you to build and customize your own dashboards with an easy, drag-and-drop interface for high-quality, professionally-designed presentations. More advanced users can also write scripts for more nuanced data requirements.
Dundas BI Data Visualizations
Dundas BI prides itself on offering powerful, flexible, customizable, and stunning data visualization features. When combined with the platform's built-in interactive dashboard features, Dundas BI's visualizations offer the ability to explore and interact with rich reports so you can drill into the exact details you want to understand.
Dundas BI Reporting Features
Dundas BI's reporting features empower the creation of multi-page and ad-hoc reports. The drag-and-drop functionality allows anyone to merge diverse data into a single report to create complex views of your information. In addition, automation tools let you preschedule the sharing of reports through email delivery, printing, and more.
Dundas BI Mobile Experience
Dundas BI is a 'mobile-first' platform that offers full compatibility with mobile devices through its use of HTML5. This allows you to design, interact with, and share Dundas BI dashboards, scorecards, and reports with either a desktop, laptop, or mobile device. Dundas BI even allows you to perform complex data analysis within your mobile device.
Dundas BI Analytics Tools
Dundas BI offers predictive data analytics, including real-time access to stunning visual analytics derived from your data. The analytics tools empower non-tech-savvy users to design, build, view, interact with, track, and share vital business metrics without any assistance from your tech team. Novice users can even set up data connectors, hierarchies, metrics, and make use of data cubes on a basic level.
Dundas BI Platform Compatibility
Whether you need to deploy Dundas BI on-premises or in the cloudDundas BI, the platform is compatible with the widest variety of IT standards. You can run Dundas BI under the protection of a firewall or on a public cloud solution like Amazon AWS, Google Cloud Platform, or Microsoft Azure. Compatible data sources include RDBMS and OLAP, Flat files, Web services, and more. Plus, the platform has a data cube layer that offers built-in ETL capabilities.
Dundas BI Integrations
Dundas BI's seamless data integration allows you to embed the solution into your web applications, software, and existing systems like Client Portals and CRM systems.

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Integrates With

8x8
AS400
AdRoll
Aftership
Airtable
AlloyDB
Amazon Aurora
Amazon Kinesis
Amazon RDS
Amazon Redshift
Amazon S3
Amplitude
AppsFlyer
Asana
Coming Soon
AskNicely
Atlassian
Autopilot
Azure Synapse Analytics
Base CRM
Basecamp
BigCommerce
Bill.com
Coming Soon
Box
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Braintree
Coming Soon
Branch
Buffer
CallRail
Campaign Monitor
Coming Soon
Cassandra
ChartMogul
Chartio
Clearbit
CleverTap
Close.io
CloudTrail
Coming Soon
Contentful
Cratejoy
Coming Soon
Crunchbase
Coming Soon
Customer.io
Delighted
Domo
DoubleClick Bid Manager
DoubleClick Campaign Manager
Coming Soon
Drift
Coming Soon
Drip
Dundas BI
Elasticsearch
Eloqua
Coming Soon
Eventbrite
FTPS
Facebook Ads
Freshdesk
Fullstory
GitHub
GitLab
GoToWebinar
GoodData
Google Ads
Google Analytics
Google BigQuery
Google Cloud SQL for MySQL
Google Cloud SQL for PostgreSQL
Google Cloud Spanner
Google Cloud Storage
Google Drive
Google Hotel Price
Google My Business
Google Sheets
HDFS
Coming Soon
Harvest
Coming Soon
Heap
Help Scout
Heroku Connect
Heroku Postgres
HubSpot
IBM DB2
Intercom
Invoiced
Coming Soon
Iterable
Jaspersoft
Jira
LinkedIn
Listrak
LivePerson
Loggly
Looker
MS SQL
Magento
MailChimp
Mailgun
MariaDB
Marketo
MemSQL
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
Coming Soon
QuickBooks
RESTful API
Recurly
Revinate
SFTP
SFTP To Go
Salesforce
Salesforce Marketing Cloud
Salesforce Pardot
Segment
SendGrid
ShipStation
Shippo
Shopify
Slack
Snapchat Ads
Snowflake
Coming Soon
Square
Stamped.io
Stripe
Taboola
Trello
Twilio
UserVoice
Wrike
Xero
Yahoo Gemini
Yotpo
YouTube
Zendesk
Zendesk Chat
Zuora
e-conomic

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