Build real-time streaming and micro-batch processing applications with Vertica and open source software
Fast Data Pipeline
Exploit Apache Kafka as the industry standard message bus for moving big data streams from multiple data sources into Vertica for analytics and moving aggregate data from Vertica into other systems.
In-Database Analytics and Machine Learning
Extract, transform and load streaming data with Apache Spark and other open source software solutions to analyze data at scale with Vertica advanced in-database analytics and machine learning.
Data Lake Analytics
Vertica enables fast insight from Hadoop data lakes. Vertica provides flexibility of loading data from Hadoop or leave data behind to run SQL join operations across Hadoop and Vertica data sets.
Empowerment with Integration and Interoperability
Partner Integration
Vertica has a very vibrant ecosystem of partners for ETL, Business Intelligence (BI) and visualization. It tightly integrates with leading BI and visualization solutions, such as Tableau, Looker, QlikView, IBM Cognos, MicroStrategy, and others and so does with all popular ETL tools like Informatica, Talend, Pentaho, Attunity, and more. Learn more on partner integrations here.
Connectivity and SDKs
Vertica supports popular SQL, and Java Database Connectivity (JDBC)/Open Database Connectivity (ODBC), preserving investment in SQL programming tools and languages. Vertica includes a SDKs that support C++, Java, R, and Python languages, enabling users to create custom machine learning, data mining, data loading and specialized parsing functions.
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Vertica in the Clouds
With complete freedom from underlying infrastructure, Vertica delivers on big data cloud flexibility like no other platform can.
Machine Learning
Unlock machine learning for the new speed and scale of business
On Premise
Vertica Enterprise