Interactive and real-time dashboards.
Multivac Platform offers curated dashboards to support common scientific use-cases among a variety of research topics such as Climate Change, international and French media, French political communities, Healthcare, and many more.
Design, develop, and build your new research projects.
The Multivac API provides access to data stored on Multivac programmatically in unique and
advanced ways. The Multivac Platform offers a complete set of REST APIs to access raw and aggregated
data in real-time to use in your research projects, build interactive or offline visualizations, and
Multivac uses Swagger to design, build and document all RESTful APIs. Swagger is a powerful open-source framework backed by a large ecosystem of tools. It also follows the Open API Initiative (OAI) to standardise how Multivac REST APIs are described.
Interactive notebooks for Big Data.
We have designed and implemented an Apache Hadoop cluster
than 40 servers inside our private Cloud.
Both Hadoop and Cloud allow us for faster elasticity in scaling our infrastructure and access to components such as YARN, HDFS, Apache Spark, and Apache Hive to run any number of jobs in parallel at scale over hundreds of millions of data.
Multivac offers interactive Hadoop notebooks by hosting multi-users/multi-tenants Apache Zeppelin and Hue.
In addition to notebook-powered analytics, users can submit their codes and jobs over Multivac Hadoop Cluster by using Apache Spark interactive shell and Spark submit or Multivac hosted interactive notebooks in Scala, Java, Python, R and SQL.
Multivac is hosting large-scale datasets such as Wikimedia Pageviews (+260 billion), 4chan (+220
or PubMed (+30 million) on its Hadoop Cluster (HDFS).
These datasets are accessible to all Multivac DSL users to run massively distributed jobs against them for their research projects.
We showcase some of our scientific projects built and powered by using the Multivac Platform. We used the Multivac API engine for real-time data visualizations and Multivac DSL for long-term aggregated studies.