Canva is a popular, simple online graphic design tool. Users can import images, use templates to design banners and logos, or pay to use Canva's premium stock images/paid templates (elements starting at $1).
$12.95
per month
Google BigQuery
Score 8.8 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$6.25
per TiB (after the 1st 1 TiB per month, which is free)
Pricing
Canva
Google BigQuery
Editions & Modules
Pro
$12.95
per month
Enterprise
$30.00
Per Month Per User
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
Offerings
Pricing Offerings
Canva
Google BigQuery
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Canva
Google BigQuery
Features
Canva
Google BigQuery
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
They are suited to serve the non-profit space, offering premium features at no charge for up to 50 users. They provide tools for non-graphic designers that help to create appealing and attractive pieces. For those who are unsure about where to start with a project, Canva offers templates that can be edited to suit the current need.
Event-based data can be captured seamlessly from our data layers (and exported to Google BigQuery). When events like page-views, clicks, add-to-cart are tracked, Google BigQuery can help efficiently with running queries to observe patterns in user behaviour. That intermediate step of trying to "untangle" event data is resolved by Google BigQuery. A scenario where it could possibly be less appropriate is when analysing "granular" details (like small changes to a database happening very frequently).
It helps you find the right design and helps you start with the right template
It helps in creating for all platforms, basically you need to create the design only once and Canva takes care of the rest by resizing the design for whichever platform you want to publish it to.
It also comes with a content planner which is extremely helpful for obvious reasons. It relieves you from the hassle of posting when the right time hits.
There's a Brand feature which is also extremely fascinating as it helps you store all your brand information (even color) at the same place.
GSheet data can be linked to a BigQuery table and the data in that sheet is ingested in realtime into BigQuery. It's a live 'sync' which means it supports insertions, deletions, and alterations. The only limitation here is the schema'; this remains static once the table is created.
Seamless integration with other GCP products.
A simple pipeline might look like this:-
GForms -> GSheets -> BigQuery -> Looker
It all links up really well and with ease.
One instance holds many projects.
Separating data into datamarts or datameshes is really easy in BigQuery, since one BigQuery instance can hold multiple projects; which are isolated collections of datasets.
I have a hard time coming up with any improvements, perhaps increase the number of free elements to use in design.
Maybe, Canva should check if you start editing a previous document to see if you want to change the current design or create a new one as a clone of the current document (design).
I'm sorry, I really can't think of a 3rd. Overall, I really like working in Canva.
Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
The ease of use makes Canva a powerful tool for manipulating images, creating original content, and testing ideas without requiring the involvement of graphic design or more time-intensive image editing software such as Photoshop. While it doesn't have the full functionality of a mature software, such as Photoshop, The speed and simplicity of Canva makes it a necessity in a business of any size
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
It is super easy to use, but it could be limiting if you're on a small device. It is easier on a bigger device because you can resize graphics and text easier than with your fingers on a small device. I do think it's perfect and easy for non-designers who don't have any training. As long as you have a good eye for visuals, Canva is a wonderful substitute for graphics programs on-the-go.
I think overall it is easy to use. I haven't done anything from the development side but an more of an end user of reporting tables built in Google BigQuery. I connect data visualization tools like Tableau or Power BI to the BigQuery reporting tables to analyze trends and create complex dashboards.
I have yet to encounter Canva being offline in at least 6 years of using it regularly. They also announce well in advance if there may be upgrades to the code and the hours during which there may be issues accessing the service.
I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
I haven't ever had issues with a slow-loading site and there haven't been any lag issues within the software. There have been maybe a handful of times over the past six years where I have tried to upload a large image and it will slow down as it loads the last megabyte, but I have yet to have the system time out or require any interference by me
I think Google Big Query's performance is in the acceptable range. Sometimes larger datasets are somewhat sluggish to load but for most of our applications it performs at a reasonable speed. We do have some reports that include a lot of complex calculations and others that run on granular store level data that so sometimes take a bit longer to load which can be frustrating.
Overall, Canva is easy to use, easy to train others to use, allows for creativity with a professional look without enormous associated costs. The mobile apps works almost as easily, but at a minimum allows for easy review and downloading in a pinch. Really, anyone can learn to use Canva quickly and will immediately benefit from the results.
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
Remember to download the mobile app onto your phone for easy image manipulation on the go. Adding company colors, logos, and typefaces to your company account is an easy process. When images are uploaded, these can also be shared between accounts within a company, as can canvases you've created for easy editing among teams.
Canva is faster and easy to use. There aren't complex menus like Adobe products and everything is generally intuitive. Menus are mostly open and visible or relatively small. Small changes to the program add to it's usability rather than detract. I also appreciate that Canva helps the user become more creative through use. By giving you editable examples through templates you can choose to re-design something ir create something from scratch w/ a similar concept or feel. Canva often gives me ideas that I can implement into my design or into the entire project even. I also like how Canva is intuitive in it's approach. The program gives you suggestions when it comes to graphics, etc. without getting in your way if you know what you already want
PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
Very easy to add accounts and share content between them. Collaboration is also easy to manage and can be done on a project-by-project basis. The cloud-based software means it is incredibly fast to add a coworker and have them editing images within minutes. A live internet connection is required to access Canva so this is something to consider if expecting to use the software while on journeys without access to wifi etc
We have continued to expand out use of Google Big Query over the years. I'd say its flexibility and scalability is actually quite good. It also integrates well with other tools like Tableau and Power BI. It has served the needs of multiple data sources across multiple departments within my company.
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
As far as ROI is concerned, Canva has proven itself time and time again as having a positive impact for business.
Just yesterday, I had to prepare an hour-long presentation on the fly; the great reviews of the presentation and the materials (all made in Canva) only served to advertise for Canva and it proves that Canva is a smart investment.
I don't think in the time that I have been a Canva pro user that I can say that my ROI has been negatively impacted. Highest recommendation. The software more the casually pays for itself time and time again.
Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
