Why We Prefer Google BigQuery for Small Business Cloud Data Warehouses
For us, Google BigQuery is an excellent choice for small business cloud data warehouses.
What makes BigQuery such a great option for your business’ cloud data warehouse?
Read along as we discuss the benefits and cost savings of using BigQuery in detail.
It used to be that storing and processing large amounts of data was very difficult if you did not have the right setup in your data center, consisting of very expensive hardware and software. Cloud service providers solved that problem. And with Google BigQuery, you have an ideal cloud data warehouse solution for small businesses.
What is Google BigQuery?
Google BigQuery is a scalable data warehouse that is cloud-native and fully managed. It is specifically designed to handle large-scale data analytics and for many small business owners it is the preferred option.
Because you do not have to maintain a server or any other physical computing facilities, you can focus on analyzing the data for insights and on optimizing other aspects of your business. Compared with other cloud service providers like Snowflake, Amazon Red Shift and Azure SQL Data Warehouse, it has some important benefits that make it a more viable option.
With BigQuery, you can set up your data warehouse quickly and easily and that’s just one of the reasons why it is so popular.
Benefits of using Google BigQuery for Small Business
Here are some of the reasons why Google BigQuery is a good option for small businesses and large businesses alike:
Unlimited Data Storage
If you have used Google Sheets for data analysis in the past, you might have encountered the fact that there is a limit to it. The same thing is true for Excel.
Things are different with BigQuery.
Data storage in BigQuery is unlimited. You should have no problem transferring all your business data into it, although the cost will go up as you store more data.
Unlimited Historical Data
Other platforms will limit the amount of historical data that you can access.
While there are ways that you can increase your historical data access, it is still limited. That means you cannot get a full overview of the past performance of your business.
You will not have that problem when you are using BigQuery. It is fully customizable and will allow you access to all your data from the past.
Centralizing Data from Different Sources
A BigQuery data warehouse is a central hub to store business data from various sources within your organization. Depending on your business, you may have a large amount of data from many sources.
All your data must be gathered through automation into one single location so you can get a clear view of the performance of your business.
With BigQuery, you can start using your data warehouse right away. That means you can hit the ground running with it. There is no need for you to provision and configure physical computing resources which can be very time-consuming.
Because you will be using a serverless infrastructure, the downtime for maintenance is going to be reduced. It uses ANSI-compliant, standard SQL, making data integration and reporting easy and fast. Collage Analytics is a group of skilled BigQuery consultants that can help you avoid common pitfalls and get your data warehouse up and running quickly.
Scaling is Seamless
With BigQuery, compute and storage are separate. This allows for elastic scaling which meets the challenges of real-time analytics. It utilizes automatic scaling and adjusts its resources on demand to match the workload at the moment. You do not have to reconfigure your data warehouse before you run a large, complex query or report. It also allows multiple users to access your data simultaneously without the blocking and contention seen in other data warehouse solutions.
Accelerate Your Insights
With Cloud Storage, Google Sheets, Drive, Google Data Studio and the managed BigQuery data warehouse, you can gain a full view of your data. BigQuery can also integrate with other tools to collect and visualize your data. Easy integration with common Business Intelligence tools such as Tableau, Power BI and Looker is available in BigQuery, so your analysts can gain insights from your data with the tools that they already know and love.
There is also the BigQuery Data Transfer Service which allows you to gain access to data via pre-built connectors. That would help you to transfer data from SAAS applications into your BigQuery data warehouse. Collage Analytics data warehouse consultants can help you manage reporting complexity by bringing your data together in an easy-to-use, customized solution tailored to your individual business needs.
Protection for Your Data and Investments
If you are concerned about information security, then BigQuery should meet your standards. BigQuery is one of the many Google Cloud Platform services that are ISO, SOC, SOX and HIPAA compliant. It is designed to provide a strong security foundation.
It also provides highly available processing and disaster recovery built in without any additional charge.
When you use BigQuery, you will only be paying for the resources that you will be using. Because storage and compute are separate, scaling each one independently is quite easy.
In fact, BigQuery will help reduce data warehouse ownership costs by as much as 88%.
You have read the reasons why BigQuery is a good option for your business data warehouse in the cloud. It should not be surprising why a lot of businesses prefer to use it now. Here are some of the important features of BigQuery in detail.
Analytics in Real-Time
BigQuery offers a high-speed streaming insertion API. That serves as a foundation for analytics that can be done in real time. That means your latest business data is ready for analysis the moment it is received.
High Availability and Disaster Recovery
BigQuery has replicated storage in several locations that provides high availability and disaster recovery, and you get that without any additional charges. There is also no need for you to do any additional set up to take advantage of this level of data protection.
Using serverless data warehousing, BigQuery can do all resource provisioning for you automatically. That means you do not have to worry about the managing the infrastructure. You get to focus on the actual analysis of the data, which is the main reason why you are running a data warehouse in the first place.
BigQuery supports ANSI:2011 compliant Standard SQL dialect. This actually reduces the need for rewrites to your existing code when migrating to a cloud data warehouse. You also get access to ODBC and JDBC drivers without any additional charges.
Separation of Storage and Compute
This has already been mentioned before and this is a key feature of BigQuery. This allows you to choose the processing and the storage solution that is best for your business, while at the same time controlling the cost.
Easy Back Up
BigQuery automatically duplicates data, making sure that you have a back up just in case. The system also keeps a history of changes for a 48 hour period, allowing you to backtrack and restore data in case you must. A Collage Analytics data warehouse consultant can help you setup a longer term backup solution if your business needs require it.
The system has SQL support for lines, polygons, and points, making geospatial data analysis in BigQuery easier than ever.
Fast Data Transfer
With the BigQuery Data Transfer Service, data can be automatically transferred from outside sources like Google Ads directly into your data warehouse.
Dynamic Resource Allocation
When it comes to resource allocation, BigQuery measures the computing slots that will be needed by the user for each query made and allocates that at runtime. This means that the allocation will increase as needed by the user. This is unlike with Redshift or Snowflake which caps the allocation based on a preset size configuration, making BigQuery more flexible.
Those are just some of the features that you can get with BigQuery. There are other features that go with the platform, which makes it one of the top choices if you are building a cloud data warehouse for your business.
One of the main reasons why BigQuery is the cloud service provider of choice for many small business owners is because of its pricing.
You can use BigQuery resources for free up to a certain point. That free usage is available within a trial period. Once the trial period is over, you will be charged for your use of the service.
For storage, the first 10 GB per month is actually free. That should be enough for some small businesses, which means that storage in BigQuery will always be free. Of course, as you use analytics to expand your business, the amount of storage you need will increase.
When it comes to queries, the first 1 TB of query data processed for each month will be free of charge. But for Machine Learning queries that contain the statement CREATE MODEL, only 10 GB of data processed per month is going to be free.
BigQuery actually has two pricing models and you can choose one that matches your usage pattern. There is the flat-rate pricing and the on-demand pricing. A Collage Analytics cloud data warehouse consultant can help you evaluate which option will be most cost-effective for your business data warehouse.
Why BigQuery Is a Great Option
When choosing a platform for their data warehouse, many business owners would end up choosing between the major ones. Those would be Google BigQuery, Amazon Red Shift, Snowflake and Azure SQL Data Warehouse.
Although most people would say that Amazon Red Shift is ahead right now, BigQuery has some important advantages and is fast gaining ground.
Google is investing heavily in the BigQuery infrastructure and with the resources available to Google, it will not take long for it to catch up. The recent Google acquisition of Looker, the Business Intelligence company for $2.6B is evidence of their commitment to expanding their already solid cloud data platform.
Disadvantages of Using BigQuery
Like all other cloud services, BigQuery is not perfect. It still has its disadvantages. It is important that you are aware of these downsides if you are thinking of using it for building your business cloud data warehouse.
Perhaps the biggest downside to BigQuery right now is that it does not have as many options as Amazon Red Shift, since the latter came out first.
Because BigQuery works on the append-only data principle, that becomes a problem when something goes wrong during a transaction. The user is then forced to start from the beginning.
Another disadvantage of using BigQuery is the fact that it charges separately for queried data. Also, duplicating data on it can be more difficult when compared with other cloud services, particularly Amazon Red Shift.
Those are just a few potential disadvantages of using BigQuery that we have noticed. The good news is that Google is constantly making upgrades to the service, so these disadvantages might soon be taken care of.
Overall, we recommend you seriously consider BigQuery for your business data warehouse. It is ideal for you if you want something that has excellent performance and you do not want to spend time in tweaking and fine tuning the database and supporting infrastructure.
For small business owners, the ability to hit the ground running with their data warehouse is very important. You may not have the time and resources to spend in optimizing a platform, so something that works well right away is crucial.
The pricing of BigQuery is also another important factor as to why we prefer it for small business owners. Its pricing is very competitive, especially when you consider all the features that you get with the service.
Serverless infrastructure is the major idea behind BigQuery and that is where it leaves other platforms such as Snowflake, Amazon Red Shift and Azure SQL Data Warehouse behind. Overall, if you are looking for an affordable, high-performance platform for your data warehouse, we would highly recommend that you consider BigQuery as one of your best options.