5 Big Data Reporting Applications


Big Data is driving the new economy.  The larger and more responsive your business becomes, the easier it is to become overwhelmed with the amount of data collected. Digging through your data and manipulating it into useful, actionable information is difficult.  However, there are several production-ready options available to help you.


1. Pentaho

Pentaho – The Pentaho Big Data Analytics suite offers several alternatives for discovery and visualization. The system is built off of the open source Hadoop project and includes features from both NoSQL and relational databases. Pentaho was built for Enterprise and ad hoc reporting, featuring predictive analytics and beautiful visualizations.

2. Roambi

Roambi  – Taking a slightly different approach to data presentation, Roambi works with your existing data sources and manipulates them into dynamic integrated visualizations. Initially built for mobile devices, Roambi has since expanded to be an encompassing data presentation system for all devices. Unlike some of the other players in this market, Roambi leaves collection and storage up to you and focuses solely on parsing and displaying the data in unique ways.

3. Jaspersoft

Jaspersoft – The Jaspersoft Big Data BI Solution can plug into your existing Hadoop, MongoDB, or Cassandra data stores, as well as integrating with Google and Amazon Web Services (AWS). It can then “blend” the data with existing relational databases using the Jaspersoft ETL tool, or with their data virtualization engine. Jaspersoft integrates directly into Amazon’s Redshift or Elastic MapReduce to build a complete big data platform. If your business is already heavily invested in the AWS platform, Jaspersoft is worth serious consideration.

4. OpenText Actuate

OpenText Actuate  – The OpenText Big Data Analytics platform, also known as BIRT, exists to turn billions of rows of data into understandable information in a few clicks. The OpenText system claims to be 1000 times faster than a traditional relational database, able to load up to sixty gigabytes in an hour and analyze one million rows in under a minute. OpenText provides services for marketing and operational analytics, without complex data modeling or coding.

5. Apache Spark

Apache Spark – If you are more of the do-it-yourself type, the open source Apache Spark project is described as “a fast and general engine for large-scale data processing.” Faster than Hadoop alone, Spark lets you develop in Java, Scala, Python, or R, and allows pulling data from multiple data sources. Spark represents the latest evolution in speed and processing power of modern big data analytics platforms. If you are building out your first system or a new system from scratch and want to completely own the product, and not be beholden to another company to do it for you, Apache Spark provides a solid starting point.


No matter what industry you are in, you can provide a higher quality service to your customers if you better understand their wants and needs, and the best way to understand your customer is to analyze the volumes of data you (probably) already have. These tools can get you started, the information you seek is up to you.