The following list elaborates parallelism and comparison between OBIEE and Pentaho BI.
1) Open Source vs Commercial BI
TCO- Total Cost of Ownership
The top reason for the enterprises to opt for pentaho business analytics is cost savings. It is a complex factor because of the extreme variability and lack of transparency in traditional entreprise software license models , packaging and pricing. This chart shows the average the cost savings between the average of the top four BI vendors and Pentaho.
With the configuaration of 25 users, the average cost difference is about 50% or $36,000.
With a large configuration of 500 users the difference is slightly more than 15 times.
The figure below shows the per-user cost savings over a three year period when using open source.
2) Customer Preferences:
Oracle: Customers choose Oracle because of its integration and optimizations with the broader Oracle stack, which are key differentiators that underpin Oracle's BI and analytics value proposition, particularly within the Oracle installed base. Specifically, Oracle BI offers more than 80 prebuilt analytic applications for Oracle E-Business Suite (EBS), PeopleSoft, JD Edwards, Siebel, Fusion (on-premises and in the cloud) and other enterprise applications, including a range of domain and industry-specific packaged analytic applications.
Pentaho: Customers choose Pentaho for its data access and integration, where it ranked second highest on the reference survey for customers citing this attribute as a reason for vendor selection. This makes sense, given Pentaho's broad connectivity to a diverse set of structured and unstructured data sources, including a standard database management system like Oracle, DB2, SQL Server or MySQL; and native connectivity to Hadoop-based systems such as Apache Cloudera, Hortonworks and MapR; NoSQL databases like Cassandra, HBase and MongoDB; and analytic databases like Vertica, Greenplum and Teradata; as well as cloud applications, such as salesforce.com and Amazon Web Services.
3) Domains:
Oracle: Oracle has long been a leader in information management and analytics for structured, mostly enterprise transaction data, but Oracle's 2011 acquisition of Endeca — now called Oracle Endeca Information Discovery — demonstrated product vision and commitment to the growing importance and potential value to Oracle customers of incorporating, relating and analyzing unstructured data for new insights. While Oracle Endeca Information Discovery platform immediately filled a gap for Oracle in business-user-oriented search-based data discovery, the more strategic road map for Oracle is to integrate Endeca assets for analyzing diverse data into Oracle's core information management, middleware and enterprise applications stack, which was recently done with EBS Extensions for Oracle Endeca. Moreover, Oracle introduced the Oracle Big Data Appliance for NoSQL and Hadoop support. OBIEE customers appear to buy into this vision, with more than 22% of them — among the highest in the survey — reporting plans to deploy content analytics in the next 12 months
Pentaho: Pentaho is gaining traction in big data deployments. Pentaho added native integration with major big data sources — such as 10gen MongoDB, Cloudera and DataStax — and improved runtime performance for Hadoop from its unique data integration engine, which can be deployed to individual nodes in a Hadoop cluster. Big data deployments tend to be only in the high end of the market, but there have been some customer success stories. Examples include e-commerce companies with personalized promotions and cross-sell use cases derived from large volumes of clickstream data from e-commerce companies' Web properties, emails and social sites.
4) Flexibility:
Oracle Business Intelligence Foundation Suite, with its principal component Oracle Business Intelligence Enterprise Edition (OBIEE), is an IT-driven, unified metadata-centric BI and analytics platform that's best suited for building large, IT-managed and centrally governed global deployments in which a broad range of BI, advanced analytics and CPM functionality from a single platform and optimization with the Oracle stack are top requirements. OBIEE customers report among the largest average deployment sizes in terms of users, data and company size, with an above-average number of respondents viewing OBIEE as their enterprise BI standard.
Pentaho is gaining traction in big data deployments. Pentaho added native integration with major big data sources — such as 10gen MongoDB, Cloudera and DataStax — and improved runtime performance for Hadoop from its unique data integration engine, which can be deployed to individual nodes in a Hadoop cluster. Big data deployments tend to be only in the high end of the market, but there have been some customer success stories. Examples include e-commerce companies with personalized promotions and cross-sell use cases derived from large volumes of clickstream data from e-commerce companies' Web properties, emails and social sites.
5) Loose Strings:
Oracle: Oracle's customer experience ratings, which include support and product quality, as well as sales experience and performance scores, continue to be a chronic weakness. They have been consistently low for the third year in a row — and the same has been true for most of the other megavendors — with scores near the bottom of the survey. While Oracle and the other megavendors tend to have the largest and most complex global deployments, which can contribute to the relatively harsh customer assessments, other vendors with similarly large and complex deployments (like Information Builders and MicroStrategy) tend to consistently, year after year, fare much better.
Pentaho: Pentaho is also below average in reporting, ad hoc query, dashboards, interactive visualization, Microsoft Office integration, metadata management, collaboration, search-based data discovery, predictive modeling and data mining. However, this is an improvement over last year's survey, in which Pentaho was below average across all capabilities except predictive modeling. In particular, Pentaho's customers are less likely to be using mobility actively.
6) Heads on:
Easy to get started
With OBIEE software, the business model typically involves a hefty startup cost, and then there is an annual fee for support and maintenance that is calculated as a percentage of the initial purchase price. In this model, a company needs to spend a substantial amount of money before any benefit is realized. With the substantial cost also comes the need to go through a sales cycle, from the RFP process to evaluation to negotiation, and multiple teams within the organization typically get involved. These factors mean that it's not only costly to get started with traditional BI software, but the amount of time it takes is also long.
With Pentaho BI, the beginning of the project typically involves a free download of the software. Given this, bureaucracy can be kept to a minimum and it is very easy and inexpensive to get started.
Customization:
In Pentaho, users can access and modify the source code directly. That means it is possible for developers to get under the hood of the open source BI tool and add their own features.
In contrast, it is much more difficult to do this with traditional BI softwares like OBIEE because there is no way to access the source code.
Features:
Traditional BI softwares like Oracle BI vendors put in a lot of money and resources into R&D, and the result is that the product has a rich feature set.
Open source BI tools like Pentaho, on the other hand, rely on community support, and hence do not have as strong a feature set.
Consulting:
Most of the traditional BI software like Oracle, have been around for a long time. As a result, there are a lot of people with experience with those tools, and finding consulting help to implement these solutions is usually not very difficult.
Open source BI tools like Pentaho, on the other hand, are a fairly recent development, and there are relatively few people with implementation experience. So, it is more difficult to find consulting help if you go with open source BI.
So, choosing a BI tool is a function of the spending power of the enterprise. Open source BI tools like Pentaho is responsible for leveling the field in what was previously reserved for large enterprises' only.
sources: www.gartner.com/technology/reprints.do?id=1-1DZLPF2&ct=130207&st=sb
www.pentaho.com
For more updates on BI and EPM: http://blog.wishtreetech.com/
Follow us at: https://www.facebook.com/
