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.
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.
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.
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.
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.
Vertica as a SaaS offering that delivers a unified, high-performance advanced analytics and machine learning platform in your AWS cloud account.
Customer-managed, advanced analytics and in-database machine learning platform that runs on-premises, in the clouds, and supports (Kubernetes (K8s).