Google BigQuery vs. Vultr

Google BigQuery is great for being the central datastore and entry point of data if you're on GCP. It seamlessly integrates with other Google products, meaning you can ingest data from other Google products with ease and little technical knowledge, and all of it is near real-time. Being serverless, BigQuery will scale with you, which means you don't have to worry about contention or spikes in demand/storage. This can, however, mean your costs can run away quickly or mount up at short notice.

Incentivized

Vultr is well suited for South African based organisations as they have a presence here. It makes dev servers for WordPress more feasible. Having to wait on roundtrips from EU or US slow things down.

Ease of setting up new servers, with clear information on what you are getting for what you pay, makes it so easy to spin up just what you need. With a large range of specifications it means you can find that sweet spot of cost vs. performance.

• Its serverless architecture and underlying Dremel technology are incredibly fast even on complex datasets. I can get answers to my questions almost instantly, without waiting hours for traditional data warehouses to churn through the data.
• Previously, our data was scattered across various databases and spreadsheets and getting a holistic view was pretty difficult. Google BigQuery acts as a central repository and consolidates everything in one place to join data sets and find hidden patterns.
• Running reports on our old systems used to take forever. Google BigQuery's crazy fast query speed lets us get insights from massive datasets in seconds.

Incentivized

• The uptime is perfect . If there are any downtimes it is well informed and its in non - production hours to ensure that the systems are not hit
• Accessibility and the dashboard is amazing where you have full control over the VPS system.
• The flexibility of OS on which to create your VPS is also amazing .

Incentivized

• It is challenging to predict costs due to BigQuery's pay-per-query pricing model. User-friendly cost estimation tools, along with improved budget alerting features, could help users better manage and predict expenses.
• The BigQuery interface is less intuitive. A more user-friendly interface, enhanced documentation, and built-in tutorial systems could make BigQuery more accessible to a broader audience.

Incentivized

• the ability of increasing a specific configuration without the need of upgrading the whole plan, for example i might need to add more memory but i'm satisfied with my current processors and hard disk capacity (or vise versa)
• Solving the problems of taking an image to the server if the server capacity (hard disk) is bigger than 1TB (which i'm currently facing a big problem because of that)

Incentivized

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

We’ve been extremely satisfied with the service for many years. After trying other providers, we’ve found nothing that matches the reliability and performance—so we’re not likely to switch anytime soon.

Incentivized

web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2

easy to use and configure. great bang for the buck. I need an affordable solution to host in the cloud data from systems installed at our client's site with the ability to drill down and change the configuration remotely. Vultr enabled us to do that in an efficient and affordable way.

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 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

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

Because of the 24 hour turnaround timing with servers I need immediate reply

Nothing in particular to share that I did not already discuss

Incentivized

Google BigQuery of course collects a much much larger array of raw data and can handle (practically) an unlimited amount of data. For a large enterprise like ours that relies on large-scale analytics, this is absolutely imperative. Google BigQuery can also combine GA4 data with external sources (like CRM tools), so our analytics can be unified. Due to our heavy reliance on GA4, Google BigQuery is the natural choice since it is a Google product and has better integration.

Incentivized

Vultr has better support and competitive pricing. The network is solid and globally deployed. IP reputation is clean, and security is tight. Ease of use and documentation is really good. User experience has been the best I ever experienced. Low stress, reliable hosting I would recommend to anyone. It helped me easily scale and expand my business.

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

• In some places, Google BigQuery has helped us save some money by avoiding the need for expensive infrastructure and reducing some of the operational costs.
• Scalability is up-to-date and really helpful in multiple places.
• Knowledge transfer is easy as it is very user-friendly, so the learning curve has been reduced.
• Also, it gives us more insights from our data, helping us make smarter decisions for our business.

Incentivized

• Vultr allowed us to have an online presence without breaking the bank
• Vultr allows us to offer an online access to the business services that we offer our clients beyond the systems installed on premises.
• We are planning on using Vultr more in the coming months as a standard feature to our Real-Time Energy Monitoring platform

Incentivized