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.
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.
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Through its MPP architecture, Vertica distributes requests across different nodes. This brings the benefit of virtually unlimited linear scalability.
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.
With its workload management features, Vertica allows you to automate server recovery, data replication, storage optimization, and query performance tuning.
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.
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's SQL based interface makes the platform easy to use for the widest range of developers.
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 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 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 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 is compatible with the most popular programming interfaces such as OLEDB, ADO.NET, ODBC, and JDBC.
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 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 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'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 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 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.
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's seamless data integration allows you to embed the solution into your web applications, software, and existing systems like Client Portals and CRM systems.