3 Reviews and Ratings
248 Reviews and Ratings
Well suited for: Games, Chat rooms, real time software like corporate events, marathons and so. Anytime and anywhere you could use a NoSQL DB you should think of SimpleDB. As an arduous AWS user, Amazon SimpleDB easily integrates with EC2 and other AWS module; and if you are not an AWS user, you also have a fantastic tool that will solve the problem for which you are focused.Incentivized
For organizations looking to avoid the overhead of managing infrastructure, BigQuery's server-less architecture allows teams to focus on analyzing data without worrying about server maintenance or capacity planning. Small projects or startups with limited data analysis needs and tight budgets might find other solutions more cost-effective. Also, it is not suitable for OLTP systems.Incentivized
FlexibilityEasy to learn and useAWS integrationIncentivized
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
Non AWS environmentsStrict storage limit (but well we have DynamoDB for storage issues)Incentivized
Can't use it out of Google's cloud platform which is a minus point if you want a local setup.Can be a little expensive to manage.A little difficult to manage someone with less technical expertise as it requires you to have SQL knowledge of joins, CTEs etc.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
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
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
It integrates beautifully with AWS. In some projects we use SimpleDB while we use DynamoDB for others, according to the characteristics of the project. If the infrastructure is AWS, we always think of one of them.Incentivized
Google's Firebase isn't a competitor but we had to use Google's BigQuery because Google's Firebase's database is limited compared to Google's BigQuery. Linking your Firebase project to BigQuery lets you access your raw, unsampled event data along with all of your parameters and user properties. Highly recommend connecting the two if you have a mobile app.Incentivized
None so far. Very satisfied with the transparency on contract terms and pricing model.
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.
Reduced database administration timeReduced data model analysis timeLower cost of resources in projects in generalIncentivized
Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investmentSince our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.Incentivized