Gain a competitive edge by extracting insight from any Big Data source using our affordable and scalable big data reporting & analytics platform. It's easy to deploy with or without ETL. Connect directly and visualize data for Hadoop Analytics, MongoDB Analytics, Cassandra Analytics and more. Build reports, dashboards and analytics directly from these data stores, without having to move the data to another database, even if they don't have a SQL interface. You can also transform or merge your Big Data with other data stores using our sophisticated ETL capabilities. Embed big data reporting & analytics in your app or use the insights to optimize your business. Get started quickly in Amazon's Cloud for less than $1 per hour or run on-site for a low annual subscription.
Analyze without ETL
Connect directly without ETL, whether or not it has a SQL interface, and explore the data using our HTML5 visualizations powered by a columnar-based in-memory engine.
For Your App or Business
Use our Big Data platform to analyze your business or to embed interactive dashboards inside your app. Embed using REST web services or customize using CSS templates. > Learn More
Start for Less than $1 per Hour
With the Cloud option you can deploy our full BI server instantly. Connect to Amazon's Redshift, and you have a full Big Data analytics stack for literally cents per hour. > Learn More
Build Reports Directly from Mongo DB, Hadoop, Cassandra and more
Build beautiful, interactive HTML5 reports and dashboards directly from any Big Data store, whether or not it has a SQL interface. No ETL required. Share these reports with anyone inside or outside your organization or embed them in your application.
Analyze with a Powerful In-Memory Engine
Our server contains a powerful in-memory engine that allows you to quickly perform analysis on your data. The in-memory engine is intelligent enough to push more expensive queries down to the underlying Big Data stores when these are tuned for high-performance analytics. Examples of such data stores include Amazon Redshift, Actian Vectorwise, Infobright and HP Vertica. This hybrid architecture means you get the best of both worlds — an in-memory engine that can also leverage your investment in an analytic database.
Merge Big Data with Other Data
Combine data from any Big Data store, including Mongo DB, Hadoop, Cassandra and more, with your traditional data sources using our powerful ETL capabilities. Perform multi-dimensional, OLAP-style analysis on the merged data using our in-memory engine or by leveraging the power of an underlying analytic database.
Jaspersoft Big Data Customers
Jaspersoft Big Data Partner Quotes
"We're pleased to see this
integration of two popular open
— Mike Olson
CEO of Cloudera
"It's great that Jaspersoft is leading the way in providing powerful and flexible reporting for MongoDB"
— Dwight Merriman
Co-Founder of MongoDB Inc.
"Jaspersoft's community of a quarter million members will help us further address and solve problems within the Big Data space."
— Bruce Weed, Program Director
Big Data Business Development, IBM
"The integration between DataStax and Jaspersoft shortens Cassandra customers' time to insight and informed action"
— Robin Schumacher
VP of Products, DataStax
"Jaspersoft provides powerful complementary solutions integrated with our platform."
— Eric Morse
Head of Sales and Business Development, Google
"Jaspersofts reporting and analytics platform provides an additive element to Amazon Redshift."
— Sundar Raghavan
GM of Relational Database Services, Amazon