Positioning of Open Source BI
Open source BI platform products show limited penetration in the Gartner client base (as shown by informal surveys during Gartner BI Summits). Less than 2 percent of surveyed attendants reported current usage of an open source BI product. Interest in open source BI technology is high as companies seek alternatives to higher priced, commercially available products. Although the technology is being adopted by software vendors developing their own applications for resale, the adoption rate as a replacement to commercial BI platforms within enterprises is still low and growing slowly. This is due to the additional development skills required to realize needed capabilities and integration (such as security, scalability and administration, end user self service and metadata) available from commercial BI platform products. Marketing and better positioning efforts by open-source BI vendors are generating more pull in the market, and the platforms are more often used in project-based deployments, often complementing a commercial BI standard platform. While there is still a significant gap in terms of functionality, scalability or usability, open source BI has advanced significantly to become a viable alternative. However, many smaller open source BI projects are providing developer components for adding low-volume reporting into applications, wrapped into open source development environments such as Eclipse. The skills required to develop, maintain and integrate these technologies can be much higher than many of the more complete commercially available BI platform products.
Small independent software vendors increasingly opt for open source vendors to provide
BI functionality embedded in their products rather than including commercial BI platform software. Organizations looking for cost reduction in their large BI deployments hope that open source will give them greater leverage for their money. Other open-source BI deployments are initiated by application developers who are looking for a way to embed BI functionality into their applications. Additionally, companies often cannot afford to roll out BI technology to hundreds or maybe thousands of users, even from their preferred vendor, because of steep licensing costs and therefore consider an open source solution to complement the current infrastructure. There are about a dozen vendors or projects that offer open source BI, although quite a few of those same companies also provide commercial versions of the software, often with significant enhancements over the free version.
Some of the few open source BI tools that have finally made their presence in Gartners, Whos Who in Open source Business Intelligence journal are Pentaho, JasperSoft, Actuate Corporation, SpagoBI and Jedox. Gartner predicts that by 2012 adoption of open-source BI being used as an enterprise-wide standard platform will triple.
As per Gartner, expect a three-wave approach to open-source BI adoption:
- Wave 1: 2004 to 2007 - early adopters.
- Wave 2: 2008 to 2012 - driven by midmarket enterprises.
- Wave 3: 2012 and beyond - just another aspect of sourcing.
Benefits of Open Source BI
Open source BI has gained significant traction in both acceptance and popularity in recent years. A few key open source BI vendors have started providing a breadth of functionalities that can be considered to the closest match to commercial offerings from companies such as Business Objects, Informatica, Cognos or Oracle. The benefits that open source BI provides over proprietary tools include:
1. Affordability: Economic factors such as slowdown in IT spending inhibit potential BI implementations because of software license costs. Companies are looking for cheaper BI solutions while proprietary tools come with heavy license and support costs. Open source software is freely available without any licensing costs, and this itself is a compelling benefit to go for it. Once a company starts using the OSS, they are willing to pay for enhanced features and technical support. Total cost of ownership for OSS solutions is minimal compared to closed source solutions or proprietary tools.
2. Flexibility to evaluate the tool before buying: In order to perform the evaluation study of proprietary BI tool in a particular environment, either a license has to be purchased outright or a limited-time trial version needs to be used. Evaluation process of enterprise software often takes six to nine months because the good is to extract greater returns on large investments. This makes the evaluation process itself a huge investment for both buyer and vendor. Therefore, there is limited ability to test or perform a detailed feasibility study using proprietary tools in a given environment. But OSS can simply be downloaded and be used to build the prototype of a BI application in a project environment to test the feasibility and demonstrate a prototype solution to the business community.
Availability of open source BI user communities 24/7 helps in responding to problems faster.
3. Flexibility to customize and reduced dependency on vendors: Users can access the source code, change the code, and even submit enhancements and/or fixes of OSS back to the community to be peer reviewed and possibly added to the next build. There is no need to wait for vendor roadmaps or new releases. This reduces vendor dependency. Also, with this, developers feel empowered and have a sense of ownership of the end product.
4. Feature set is not bloated: In order to gain competitive edge in the marketplace, proprietary tools come with at least one more feature than others. They are rich in functionality and provide enterprise-level solutions. This causes products to consume huge amounts of memory and CPU power, even when only a few of the features are actually required. But features of open source software are mostly driven by community demand, hence are lighter and more manageable a compared to proprietary tools.








