Chartio is a visualization tool designed to enable anyone to explore, transform and visualize data on the fly through a drag-and-drop interface. Chartio was acquired by Atlassian in February 2021 so that it's capabilities could be integrated into the Atlassian product portfolio's capabilities. Chartio is no longer available to new customers, standalone. Existing customers must migrate to alternatives by March 2022, when the service will be retired.
$40
per user/per month
Sigma
Score 9.1 out of 10
N/A
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.
I've honestly never really seen another product like Chartio. The closest I can compare is 6sense, but it's fairly different. I think 6sense and Chartio work well together.
Chartio so far has been the easiest BI tool to setup and has also been the most affordable. There are some other, great, BI tools out there but they were a bit to heavy handed for what we needed. Also - despite the high cost per user in Chartio, the other tools were still more …
We used GoodData before Chartio. Our main reason for the change was that GoodData also stored our data and we could not query our own databases. We had to load the data first before creating a new dashboard which made the whole process (and also the maintenance) more difficult. …
Initially, we selected chartio because it was the easiest to connect to data and get going making visualizations. Ultimately, we moved away from Chartio because we needed a tool that would work as a buffer between our data structure and the visualizations. But majority of BI …
Again, Chartio provides the best multi-user presentation ability for us. Other tools are great for slicing and dicing the data, but at the end, you still have to spend time trying to find a way to present it. Chartio has that built in.
Simple interface, simple dashboarding (very little ETL or Analysis requirement for our purposes) and ease of self-service and quick support response. The price was right for all of these things.
It's so much more customizable and allows you to use any data you could possibly want. The interface is also so much more sensible and allows you to decide how to look at things.
We have an older version of Crystal Reports that just hung around as the company grew. Now that we have more users, it's not feasible to continue with the limited Crystal experts that we have in order to get reporting out across the entire company. What we were aiming for was a …
I tried a number of competitors before selecting Chartio. Duckboard is a mess. Looker is an exciting product but requires a huge amount of configuration. Most enterprise solutions have been featurecreeped to death and all look like Excel circa 1998. We selected Chartio because …
I kind of hit on this earlier, but simply put: Usability. We were given tutorials by our Data Science team using Birst, and even they encountered a few hiccups explaining things: they use this everyday! We trialed Chartio with people having zero BI software experience and they …
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
This product is well suited for end users that don't want to get too in depth with reporting. The interface is simple and the default filter options are sufficient for a general report. Example: Total Sum of Net Sales for all products sold in X State between dates X and X. If the need is for a more complex query, then there is the Custom Query option. This would be something that an administrator would have to police as having users writing their own queries could get really messy really fast. I suppose the key questions to ask would be: Do you need a product that will... display all relevant charts/reports in one consistent place? ... be simple for an end user to navigate? ...be web-based and remotely accessed?
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
Constantly updating: many of the BI tools we looked at were slow to iterate on their product. This was a main selling point for us.
Ease of Use: We have many users that are new to BIs tools and database management in general. BI software as a whole has a pretty steep learning curve for most people, but Chartio does a good job of making things easier all around.
Database Support: It seems as though every department insists on storing their information using different databases. Chartio had support for everyone one we needed which was very helpful.
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.
It has become a core part of the business in terms of identifying the health of our network. If we grow and there are certain things that might not fit well with Chartio (e.g. we'd want to store snapshots of every single day's dash instead of seeing realtime data), it might make sense to move some of the data analysis tool in-house if resources are available.
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
I really like using Chartio. I use it on a daily basis for pulling data from different sources and combining data (the explore tab was a great idea for this use). I think I would give it 8/10 because there needs to be more documentation or maybe blog posts about things people are doing with it. I only have my own ideas about what to do /how to graph things. I know there are some articles, but it would be awesome to have a section on the neat dashboards people are building or how they show data in different ways. Another complaint is how much time it takes to load. I know our databases aren't set up precisely for Chartio and I have been creating data stores. But the data stores have so many more limitations that adds a whole new layer of frustration. Love the product, keep up the good work and the fast fixes.
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.
I use self learning materials. Pretty helpful. I find myself having to go back to the "drilldown" instructions though, and have a hard time finding hidden variables on a dashboard, so perhaps there is room for intuitive improvements (or maybe I'm just being lazy)
Again, Chartio provides the best multi-user presentation ability for us. Other tools are great for slicing and dicing the data, but at the end, you still have to spend time trying to find a way to present it. Chartio has that built in.
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.
Chartio has worked well as our datawarehouse has rapidly expanded, and the usability/performance hasn't seemed to have suffered. What we haven't yet realized is additional savings from additional users. We have some dashboard needs for users who truly just view of a few charts, and the licensing structure hasn't yet been structured in a way that would support that type of approach...having 50 "core" licenses, and then potentially several hundred view only licenses for partners that would use the application infrequently.
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.