Bigtable -Google's NoSQL database

 

Bigtable — Easy Notes


1. What is Bigtable?

Bigtable is Google's NoSQL database designed for very large amounts of data.

Think of it like:

Bigtable = NoSQL database + huge data + very fast read/write

It is built for high throughput and consistently low latency.

2. When should you choose Bigtable?

Bigtable is a good choice when:

SituationExample
Very large data > 1 TBBillions of customer records
Data changes very quicklyStock prices changing every second
High read/write speed requiredMillions of requests per second
NoSQL dataData that doesn't need complex table relationships
Time-series dataSensor data over time
Real-time processingLive analytics
Big DataLarge-scale data processing
Machine LearningTraining/processing large datasets

Easy example

Suppose you have 10 million IoT sensors.

Every sensor sends:

Sensor ID → Temperature → Time
S001     → 28°C        → 10:01
S002     → 31°C        → 10:01
S003     → 27°C        → 10:01
...

And this happens every second.

That creates an enormous amount of continuously changing data.

👉 Bigtable is a good fit for this type of workload.

3. Bigtable is NoSQL

Unlike a traditional relational database such as MySQL/PostgreSQL, Bigtable doesn't focus on relationships like:

Customer
   ↓
Orders
   ↓
Products

Instead, it is optimized for very fast access to huge datasets.

So remember:

SQL database → relationships and transactions

Bigtable → huge scale + fast reads/writes

4. Time-series data

This is an important Bigtable use case.

Time-series data = data collected over time.

For example, stock prices:

10:00 → ₹100
10:01 → ₹102
10:02 → ₹101
10:03 → ₹105

Or server monitoring:

10:00 → CPU 40%
10:01 → CPU 55%
10:02 → CPU 72%

Bigtable works well because the data naturally has time/order.

5. How does data get into Bigtable?

The transcript mentions two main approaches.

Streaming

Data continuously comes into Bigtable:

IoT devices
     ↓
Dataflow / Spark / Storm
     ↓
   Bigtable

For example, millions of sensors continuously send temperature data.

Batch

Data can also be processed in batches:

Large dataset
     ↓
Hadoop / Dataflow / Spark
     ↓
   Bigtable

This is useful when you don't need every record processed immediately.

6. How does an application access Bigtable?

An application can read/write Bigtable using APIs and clients.

Simple picture:

Application
     ↓
Java / HBase Client / REST
     ↓
   Bigtable

For example:

User opens dashboard
        ↓
Application asks Bigtable
        ↓
Bigtable returns millions/billions-scale dataset results
        ↓
Dashboard displays data

7. Very important: Bigtable vs Firestore

Since you just studied Firestore, this distinction is useful:

Firestore:

Flexible NoSQL database for mobile, web and application development

Example:

Instagram-like app
   ↓
User profile
Posts
Comments
Messages
   ↓
Firestore

Bigtable:

NoSQL database for massive-scale, high-throughput data

Example:

Millions of sensors
       ↓
Millions of readings
       ↓
     Bigtable

Remember this shortcut 🧠

Firestore → App data

Bigtable → Big data

Cloud Storage → Files/objects

Cloud SQL → Relational SQL data

BigQuery → Analytics/data warehouse

One-line exam definition

Bigtable is Google's fully managed NoSQL big-data database designed for massive, rapidly changing datasets requiring high throughput and consistently low latency.

Comments

Post a Comment

Popular posts from this blog

Async/await

  Async/await An async function is a function declared with the async keyword, and the await keyword is permitted within them. The async and await keywords enable asynchronous, promise-based behavior to be written in a cleaner style, avoiding the need to explicitly configure promise chains. "async and await make promises easier to write" async  makes a function return a Promise await  makes a function wait for a Promise  Async functions Let’s start with the async keyword. It can be placed before a function, like this: async function f() {   return 1; } The word “async” before a function means one simple thing: a function always returns a promise. Other values are wrapped in a resolved promise automatically. For instance, this function returns a resolved promise with the result of 1; let’s test it: async function f() {   return 1; } f().then(alert); // 1 …We could explicitly return a promise, which would be the same: async function f() {   return Promis...
Read more

First negative in every window of size k

 Given an array arr[]  and a positive integer k, find the first negative integer for each and every window(contiguous subarray) of size k. Note: If a window does not contain a negative integer, then return 0 for that window. Examples: Input: arr[] = [-8, 2, 3, -6, 10] , k = 2 Output: [-8, 0, -6, -6] Explanation: Window [-8, 2] First negative integer is -8. Window [2, 3] No negative integers, output is 0. Window [3, -6] First negative integer is -6. Window [-6, 10] First negative integer is -6. Input: arr[] = [12, -1, -7, 8, -15, 30, 16, 28] , k = 3 Output: [-1, -1, -7, -15, -15, 0]  Explanation: Window [12, -1, -7] First negative integer is -1. Window [-1, -7, 8] First negative integer is -1. Window [-7, 8, -15] First negative integer is -7. Window [8, -15, 30] First negative integer is -15. Window [-15, 30, 16] First negative integer is -15. Window [30, 16, 28] No negative integers, output is 0. Input: arr[] = [12, 1, 3, 5] , k = 3 Output: [0, 0]  Explanation: Windo...
Read more

Valid Parentheses

Given a string s containing just the characters '(', ')', '{', '}', '[' and ']', determine if the input string is valid. An input string is valid if: Open brackets must be closed by the same type of brackets. Open brackets must be closed in the correct order. Every close bracket has a corresponding open bracket of the same type.   Example 1: Input: s = "()" Output: true Example 2: Input: s = "()[]{}" Output: true Example 3: Input: s = "(]" Output: false Example 4: Input: s = "([])" Output: true   Stack-Based Logic: Traverse each character in the string. If it's an opening bracket ( '(' , '{' , '[' ), push it onto the stack. If it's a closing bracket ( ')' , '}' , ']' ): If the stack is empty , return false (nothing to match). If the top of the stack is the corresponding opening bracket , pop it. Otherwise, return false . ...
Read more