The question that has been on everyone’s mind since Bigtable was released in 2005 is: What is the difference between Bigtable and BigQuery? Fortunately for you, Enteriscloud has compiled this definitive guide to help you decide. 

Both share many similarities, but the biggest difference lies in how you access your data.

Bigtable vs BigQuery: What are they?

Bigtable and BigQuery are two remarkably similar Google Cloud products that allow users to store large amounts of data. But are two different types of databases used by companies to store and analyze their data. However, they differ slightly in their structure and purpose. Without spending a fortune, you can get multiple advantages from Enteriscloud agile, reliable, and scalable Cloud Big Data consulting services, such as finding meaningful insights, performing data analytics, etc. Big data initiative is ready to tackle peak traffic hours and lost data with disaster recovery.

BigTable is a massive, scalable NoSQL database service for large analytical and operational workloads. It’s useful for storing petabytes of semi-structured data, like IoT applications, financial services data, media storage, etc. You can also use it to store your enterprise’s data warehouse implementation on Google Cloud.

When should I use them?

Use Bigtable when you have a lot of data (like approximately 10 PB) that needs to be stored in tables or if your app uses information that can benefit from having columns added without affecting existing data. It’s also great for real-time analytic workloads.

Use BigQuery when you have a few TB of data and specifically need high-speed SQL queries (we’re talking sub-second). It’s also great for loading high volumes of data—you can import up to 100,000 rows per second into a single table!

What’s the difference between Bigtable and BigQuery? 

For starters, one of these things is not like the other.

BIGTABLE	BIGQUERY
Bigtable is a NoSQL database (that stands for “not only SQL”) that allows users to store huge amounts of unstructured data—like social media posts or web pages—and query it at any time. Google uses it to power their services like Google Maps and Gmail.	BigQuery is also a NoSQL database, but it is primarily used for batch processing rather than real-time querying.
with Bigtable, you can retrieve information about specific things (like all tweets from March 2020)	while BigQuery lets you get more general information about broad topics (such as how much money was spent on gas).
Bigtable is a NoSQL solution that runs on the Google Cloud Platform. It’s designed to handle massive amounts of unstructured data, so it’s ideal for storing and processing streaming data (like IoT sensor readings), media files (like photos and videos), and other large datasets that don’t conform to a traditional relational database structure.	BigQuery is a fully-managed, serverless data warehouse. It lets you run SQL queries on massive datasets without setting up any infrastructure or managing any servers. This means that you can store and query massive amounts of data without worrying about space, storage limits, or maintenance headaches.
Bigtable is capable of storing petabytes of data, and it can scale to thousands of applications (and millions of users).	BigQuery is similar, but it has a different purpose: BigQuery is an analytic database system that can process data even faster than Bigtable.
Bigtable is a distributed file solution for handling data warehouses that can expand to petabytes of data spread over thousands of commodity computers.	BigQuery is a data store that overcomes this issue by offering super-fast SQL queries leveraging Google’s infrastructure’s processing capacity. Simply load your data into BigQuery let us do the rest.

Enteriscloud can help you use Bigtable and BigQuery by providing support with these questions: Which one should I use? What’s the difference between them? When should I use each one? So…when do you use which? The answer usually depends on the type of project you’re working on and the kind of data you’re looking at: if your dataset is structured and neatly into rows and columns, check out BigQuery. If your data has a lot of context and nuance but doesn’t fit neatly into a spreadsheet, look into Bigtable. Both are insanely powerful—, and Enteriscloud can help you get them running in no time! Google launched both of these products in the late 2000s, and since then, they have been at the forefront of cloud database management systems. Check tech oriented articles on our site for more detailed insights.

What is Apache HBase?

When working with the Google Cloud Platform, you have many great options for storing your data. One of the most useful is Apache HBase, a popular open-source tool that runs on top of the Hadoop Distributed File System (HDFS). 

Google offers two cloud-based tools that take advantage of HBase and make it even more helpful. 

Why EnterisCloud?

Don’t be concerned! As a cloud computing firm, Enteriscloud has the solution for you. We’ll be your one-stop shop for all your Bigtable vs BigQuery needs. Furthermore, our team is available via phone 24 hours a day, seven days a week, to answer any queries and assist you through the procedure if necessary. So don’t be shy! Sign up now!