Airtable vs. Google BigQuery

Airtable is an ideal platform for small and growing businesses to keep track of just about EVERYTHING they need to keep things running smoothly. It's a great way to keep tasks organized, and keep everyone on the same page with progress on all things. Our company finds the kanban particularly useful, as products go through a lifecycle from ideation to retirement, it's good to keep a database of what is in production, what's working, and what we've tried before. I can see the platform being challenging with much larger businesses, but for the small to medium businesses I've used the platform with, it is ideal.

Incentivized

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).

Incentivized

• I can create tables, create and customize fields
• Airtable has capabilities commonly found in spreadsheet applications, but also has some of the features found in databases.
• The ability to filter fields. I set up a filter on the status field, so when a project is marked, complete, on hold, or canceled, that record is hidden from my current projects table view. If it is marked complete, the record is moved to the completed projects table view. In this way I can easily access a record of past projects
• Being able to duplicate tables and create alternate views
• Collapse and expand records. When I collapse the rows, I can easily scan current projects, next steps, project status, and due dates. When I expand the row, or field, I can see more detailed information about that field or record very easily. I can also expand or open the entire record. This is is helpful, when I am entering a lot of information to multiple fields in that record.

Incentivized

• Realtime integration with Google Sheets.
• 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.

Incentivized

• When records are deleted, there could be more options for what happens to associated records in other tables.
• Multi-select fields should be sortable.
• The per-user pricing model can be cumbersome when you need to share bases with third parties but can't use a publicly accessible URL.

Incentivized

• 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.

Incentivized

We will 10/10 renew the use of Airtable because it has brought great value to our team. Not only is Airtable affordable, but it's also user-friendly and helps our team be efficient. We no longer need to rely on Excel spreadsheets being passed from person to person via email. Furthermore, we aren't dealing with corrupt Excel spreadsheets and the need to salvage data when a file is accidentally altered.

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.

Incentivized

IMO the usability of this product is its greatest asset. The UI is clean and the menus are intuitive to the point where I'd feel confident having a non-spreadsheety colleague take on building an Airtable for the first time with next to no training. I can't say that about every table-like software product that I've used such as Notion.

Incentivized

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.

Incentivized

I have rarely experience downtime, compared to other tools, and given how much time we spend on the tool. Even if there were to be, their updates on it are very timely, and our support team are able to provide any questions regarding

Incentivized

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.

Incentivized

I never had any issues with load time, even with the integrations that we use today (google sheets) However, I'm curious if adding additional layers of integrations would slow down performance. We do carry quite a bit of data in Airtable, but, again, no impact on overall performance

Incentivized

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.

Incentivized

Airtable has great support. They have a variety of support features to answer any questions. They have great self teaching instructions for templates and product tours. They also have support for teams and project management. They also have a fantastic customer help line. They are able and willing to answer customer questions and never have customers waiting long

Incentivized

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.

Incentivized

This training was done in-house, but the Airtable team provided resources and how to guides to ensure that we covered all components of the system

Incentivized

Recorded trainings were provided by the Airtable team. Great as an evergreen resources to new team members and for anyone that wants to refresh their Airtable knowledge

Incentivized

Training all users was an important part of the implementation, which did take considerable time and effort. At first glance without training, the content calendar can be overwhelming because of the amount of data. The features within Airtable seem to be endless but our team was able to identify the most important to be successful.

Airtable was a really good fit for this specific use case as it provided a huge number of collaboration features in an intuitive and pleasant-to-use interface. The free tier worked initially with our work, and the upgrade pathway was fair and made sense for us.

Incentivized

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.

Incentivized

I did not help purchase the product, but Airtable's per user pricing structure is inconvenient when some users only need occasional or read-only use.

Incentivized

None so far. Very satisfied with the transparency on contract terms and pricing model.

There are TONS of opportunity to scale, but I think it's a matter if you have the time and resources to do so because the initial setup can be fairly time consuming and prioritized dedication

Incentivized

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.

Incentivized

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.

• It gives us a real-time experience of working.
• Through this platform, I always have the idea bout which of my team member is working on which particular part of the project, I can easily track their progress, and also I can easily correct them where it is required by adding sticky notes, by sending the attachments and URLs.
• Quality services.

Incentivized

• 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.

Incentivized