Infor Birst offers multi-tenant cloud BI for deployment in a public or private cloud, or on-premises. It provides an in-memory columnar data store and a BI layer comprising a reporting engine, predictive analytics tools, mobile native apps, dashboards, discovery tools, and an open client interface.
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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.
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We were using Birst OEM and now moved to Looker, because it was too old-fashioned and tool capability was limited. It is a different tool - Birst OEM has some more in depth capability and customizations options while Looker is more modern and easy to use, in my opinion.
Infor Birst OEM and embedded analytics have low-code no-code features which are easy to deploy and with easy instances creation with a dev-quality-production environment. Good capability on data mapping features from source to intermediate to target with impressive metadata …
Birst was better than Domo for our needs because we could get in and tinker with it. Our impression of Domo was that it had a lot of connectors and ready to go reports, but it made too many assumptions about applications we use. We customize too much to use a "ready to go" …
During the vetting process, we looked at 14 different products (one of them internal) to see if they would fit our needs and whittled it down to this one over a three month period. We did not contact sales for all of them (sales sites were enough to rule out some), but did have …
The primary differentiator with Birst is its scalability. Every other system we have developed or reviewed is either very strong in a single focus or requires a large team to manage to deploy over multiple, diverse customers. We have been able to accomplish more successfully …
We compared Birst vs Tableau and Lumirra and there's no question that Birst is the best option from a cost perspective. Additionally, the ease of use complemented with our support team has allowed us to innovate on the platform quickly
Cognos - this tool is also more difficult to set up, takes more time to develop dashboards, harder for the business user to navigate MicroStrategy - this tool is also more difficult to set up, takes more time to develop dashboards, harder for the business user to navigate MS …
We evaluated and compared Birst, OBIEE 12c, and Tableau based on several criteria such as "Data Analysis & Discovery", "Data Integration", "Security model", "Data Visualization", "User Experience" or "Infrastructure & Architecture". The only point where Birst was rated higher …
The standard in our company is SAP Business objects. For the international part of the company we are using Birst because of its accesibility, ease of maintenance and ease of use. Compared to SAP BO dashboarding and easy to medium complex reports are easier to create and …
We originally selected Birst because they are a Partner of our ERP system provider. We re-evaluated and reconfirmed that decision after our new investment through a one week prototyping exercise that proved how quickly something that delivers real content and value can be built …
We selected Birst over all other options due to the one-stop-shop nature of their offering - it allows us to rapidly develop and deploy a complete product quickly within a single tool.
So much easier to be able to pull data using a query at times, which should be supported alongside drag and drop options. I can actually left join two tables when needed to provide data frequently requested by customers.
Birst provide a much better web UI and end user experience and distribution mechanism than both Tableau and SSRS. Power BI simply did not have the full complement of features that we needed at the time of our selection to be competitive and Pentaho was too custom and would have …
We chose Birst as birst Appliance and cloud versions has same set of features available. Power BI hosted on Azure cloud has competitive pricing, but Power BI report server has very limited features available and is also very expensive. Due to PHI data regulations in different …
Birst's ETL is better suited to our purposes than Alooma's stream-based processing. Birst's designer is more mature and meets or needs better than Periscope's reporting functionality, at the time I investigated it.
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
Birst is well suited for an organization looking for a cloud-hosted analytics solution that is contained within one package. It is able to connect to a very wide variety of different data sources, and has options for either light or involved ETL procedures, depending on the users experience with preparing data. As with any BI project, it would not be suitable for an organization where there is no dedicated team to maintain and manage the project.
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
Birst is an platform that provides connectors to some of the applications we use, but also allows us to bring in data from disparate systems to perform ETL and integrate all of the data for analyses. It makes no assumptions about your data, which is good for us, as we have a lot of customizations to many of our systems.
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.
We have been able to overcome any of the drawbacks we've found with Birst easily and it has fulfilled almost all of our analytic needs to date. Having seen their roadmap it would be highly unlikely we would move away from this platform any time soon. You simply can't beat the functionality that Birst provides for the price and the things I see coming out of the company solidify that our decision to choose Birst was the best possible choice. We have never regretted the decision.
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
Birst is a reliable BI platform that has developed through uploads via the cloud, easy tabular views, quick manual uploads and links to SQL databases. It however does not compete with other BI tools with the data manipulation and connections when your data is uploaded in the platform and the visualisation and customisations available. The automation aspect is very useful and is one of the top features, alongside the user hierarchy and permissions. Birst is an easy and useful tool for finicial reporting, however is not currently the best option on the market for providing easy to understand, edit and present visualisations.
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.
We frequently experience -103 errors due to us using the Live Connect functionality, which does not seem to handle even minor interruptions in connectivity, and treats all future connection attempts or data requests as errors, even if the issue does not exist any longer
In a reporting and analytics package there are two distinct performance times to look at. First is the performance of calculating the report data and metrics. I would rate a 9 for this. However, the interface rendering is slow, rating a 7. Dashboards can take 3-5 seconds to load. This is probably not a problem for normal users, as the dashboard render is performed once. My application integrated the dashboard into a commercial product though, with hundreds of customers - so my demands are higher with a large number of end users.
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.
I went to their annual user conference (Birst Forward) and their standard training class (Birst Boot Camp) this year, and both were excellent. Very educational, and I got all of the personal attention I needed to get my questions about my specific answered. I've also reached out to the trainers after those events to ask more questions, and they've been great about getting back to me with answers
Although I found the online resources helpful, a lack of appropriate examples for certain tasks key to report creation and advanced modeling make the online training/documentation less than perfect. For an inexperienced BI professional, the online training would not enable a streamlined launch of the product.
Have clean data! Birst flexibility allows - Start small, then introduce functionality and complexity along the way. If you try to present all the functionality [bells and whistles] and wow them, but bad data is uncovered, the end user blames the new application and turns away.
Infor Birst OEM and embedded analytics have low-code no-code features which are easy to deploy and with easy instances creation with a dev-quality-production environment. Good capability on data mapping features from source to intermediate to target with impressive metadata management.
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 can see that loading a lot of data can cause a noticable slow down in performance. Birst support indicated that they don't really consider anything less than 30 seconds to be an issue, but that is not the case for our customers, so we have had to change some of implementation to address this
Being a manufacturing company we tend to lag behind technologically. But having all the data for different ERP systems in one place has been an eye opener for the executives. It has lessened the need to convert some legacy ERP systems.
Having such a simple reporting tool is a great asset to some of our sites that have traditionally had trouble gathering data from AS400 systems.
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.