Oracle's Business Intelligence Discoverer is an ad- hoc query and analysis reporting tool oriented for end users to have easy access to relational and multi-dimensional data. The product is now end of life. The vendor has stated that Discoverer 11g release 11.1.1.7.0 is the terminal release of Discoverer.
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Sigma
Score 9.1 out of 10
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Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.
We have chosen for particular tasks or according to requirements of clients, we are also use this because we are well familiar about this tactics and features too.
Very easy to use and understanding the technology could work well for your organization. Sometimes the majority of the business unit's key stakeholders don't utilize the data for the needs of the business.
BI Discoverer is simpler and lighter. It offers a much lighter option for data access when compared to most other business intelligence tools. However, the features on BI Discoverer are limited and cannot solve deeper analytics requirements. For such use cases, it might be …
Oracle BID was a better alternative than AER for our department. Since we are an Oracle-heavy department, using Oracle software for all tasks, from data storage to reporting was the way to go. BID has proven to be a cheaper, more efficient alternative to AER. It has served its …
Power BI is mostly for visualization and dashboards whereas Discoverer is for lifting heavy reports outputs. Oracle Apex can be used for building reports but not very complex ones. Pivot functionality in apex reports is not all good when it involves multiple nested groupings …
Regarding to Power BI and Business Intelligence Discovery I think the principal difference is Business Intelligence Discovery allow discoverer data from web services and there are a lot of tools for only one purpose, manage data! Regarding to SAP BusinessObjects and Business …
Both produce the same end results for creating reports used by higher management for decision making. The way they are designed and featured, the process is what makes them different.
We selected this tool because it is easy to create an end-user layer which is the repository in the database. The data that is being used is from the datamart which we have built on a daily basis. This tool was selected because it is a web-based and available 24/7.
We have used several products over the years, including Sisense and Tableau. They both stack up well against Business Intelligence Discoverer, however, the costs for us are what split them apart. Feature-wise, there isn't much to separate the products.
Discoverer is more of a departmental BI tool. OBIEE is much more expensive compared to Discoverer. OBIEE needs an ETL and Reporting team to develop reports. OBIEE involves complex modelling of RPD whereas it is much simpler with Discoverer. With Discoverer, it is as simple as …
I did not select Discoverer.....however, I do prefer it to the other tools that I have used for report creation. I do like the mix of GUI and SQL direct code avail. I have mostly used the desktop version, but migrating over to the web based version and starting to build reports …
Tibco Spotfire or SaaS BI are much more flexible and comprehensive, being compared with Business Intelligence Discoverer, they support many ways of scripting and has rich data visualization options, and furthermore, they can be linked with recent popular ML/DL frameworks.
Before our team grew to incorporate more database savvy members, Discoverer was an easy and efficient tool for reporting and analyzing data. As our team added more database members, though, we quickly outgrew the need for a simpler program and expanded into one where we could …
Both Tableau and Argos are newer products and have much improved features. Argos in operation is closer to how Discoverer is. Tableau is a top rated analytics product.
Discoverer was already in place when I joined the company so I was not involved in the selection process. However, I have been involved in the review of Discoverer as compared to alternatives including Business Objects, OBIEE, and SSRS. On a cost benefit analysis Discoverer …
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface …
Sigma Computing exclusively uses Snowflake as its data source, which enhances data security by not caching or extracting data locally. Tableau, on the other hand, allows a broader range of internal databases and files like SQL Server, Postgres, etc., and supports extracted …
maintianed is very user friendly. Its various ways of embedding helped us in various aspects. The usage of control ids of the filters as parameters helped us in optimizing very longSQL queries. The live Support team every weekday is a very great intiative that helped in quick …
I'd rate Sigma to be extremely similar to Sisense except it looks not as nice. I would say that as a tool, Sigma is more user-friendly than Tableau, Power BI, Trevor, and Metabase.
I do feel that Looker is far more powerful and looks great, but I also recognize that Looker does …
Sigma computing has better pricing than the competitors. We're always looking for what is good for the price but also gives us all we need to complete our reporting. It also brings about a lot of updates that are nice to see. The embedding helps other BI tools sometimes.
Sigma has a better view of tables and it is much easier to create new data sets/aggregations. Tableau is better in some visual aspects because there is more customization available, albeit more confusing than Sigma to do. Sigma is very intuitive and did not take long to learn …
Sigma Computing had better functionality and is beginner friendly. While Tableau is a more well known product, Sigma Computing has a better user interface that is easier to comprehend for those without a non-technical background. This makes it easier to showcase dashboards to …
Sigma is the easiest to use from a workbook developer perspective, and from a non-technical end user perspective. Everything from administration, semantic layer setup, to creating dashboards is easier in Sigma than these other tools. Developing content in Sigma is enjoyable, …
Sigma has the capabilities of the other BI tools. I think it's pretty user friendly and easy to learn. Many of our stakeholders are used to using Excel so it's nice that it is a smooth onboarding process for them. We haven't looked into much of the visualization capabilities so …
I have found that Tableau can be used to create a greater variety of custom and complex visuals, though these visuals are far more difficult to create in a quick turnaround. While Sigma may be more limited in terms of what types of visuals can be create or how customized they …
With Looker, to be effective, a substantial amount of coding & modeling needs to happen in LookML. Being another language to learn, users have to context switch again from at a minimum either SQL or Python into LookML. The concept of being able to source control, code review, …
Less visually appealing. Feels like fewer pixels. Harder to make graphs and visuals. Really good integration with snowflake and intuitive usage for custom equations and filters.
sorta in the middle. One thing that differs than domo or power bi, is that those softwares bring in the data into the platform, instead of how sigma runs a query against our data warehouse each time a user interacts with the dashboard (there is some small caching, so not always)
Sigma is by far the best. It is easiest to learn and easiest to use on a day to day basis. I never have to wait for dashboards to load and it's very easy to understand the variables that are going into my visualizations. Best of all I can manipulate the data within Sigma …
flexibility, works really well with snowflake, export capability, level of support, the fact that Sigma Computing is a start up and improving so quickly. Web based software
Discoverer is definitely well suited for a company that is working with a lot of data but does not have a large database knowledgeable team. It allows for basic database management while permitting users to access the data in a simple and efficient way. Reporting is easy to do and, again, does not require a lot of database know-how. If you are looking for more in-depth customization and multiple data sources from various vendors, though, you may want to look into a more robust platform.
Scenarios where Sigma Computing is well suited: - Data Reporting and Visualisation : It is suitable for dashboards that integrate data from multiple back-office systems - Search and Filtering Capabilities: It provides a robust platform for searching through datasets and visualisations. Scenarios where Sigma Computing is less appropriate: Handling of null values and dynamic table adjustments
Viewer level license is quite limited. These users can't download data or even add filters on datasets. Something to keep in mind.
Directly querying the underlying data warehouse will lead to increased usage. Not a big deal on something like Redshift, but your Snowflake consumption will increase, potentially by a lot.
Because we are very satisfied with the product and would most likely renew because of the services it provides. It is a tool that you bring into your organization and let it change the way you analyze your data, present your data and share you date within the Respective teams
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
Discoverer is more of a departmental BI tool. OBIEE is much more expensive compared to Discoverer. OBIEE needs an ETL and Reporting team to develop reports. OBIEE involves complex modelling of RPD whereas it is much simpler with Discoverer. With Discoverer, it is as simple as importing database tables, defining joins and running the queries. Discoverer stacks very well on top of ERP systems directly. Users can run reports on ERP tables using Discoverer. To perform similar jobs through OBIEE, one has to either use Noetix or another transactional model.
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface for smaller companies like ours without dedicated BI resources on staff.
We have used Discoverer to respond to state sales and use tax audits and saved the company more than the cost of the product. Discoverer has thus assisted in our objective of managing costs.
Discoverer is used to provide reports for EEOC reporting assisting our goal of complying with all government requirements.
Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.