Which database should I learn in 2023?

For 2023 and beyond, learn PostgreSQL for robust relational data and advanced features, MongoDB for flexible NoSQL/unstructured data needs (especially with cloud/big data), and MySQL for widespread web application use, while also considering Redis for caching/speed and cloud-specific options like Amazon DynamoDB for scalability. PostgreSQL was even named the 2023 DBMS of the Year by DB-Engines for its growth.

What is the database of the year 2023?

DB-Engines has named PostgreSQL the "2023 database management system (DBMS) of the year," citing its remarkable surge in popularity that it outperformed all 417 other monitored systems over the past year.

Which database is best for the future?

Which Database You Should Learn in 2025?

1. Oracle. Oracle Database is a multi-model database management system produced and marketed by Oracle Corporation. ...
2. MySQL. ...
3. SQLite. ...
4. PostgreSQL. ...
5. MongoDB. ...
6. MariaDB. ...
7. Microsoft SQL. ...
8. Redis.

Is MongoDB or MySQL better?

MongoDB excels at inserting or updating a large number of records. MySQL is faster when selecting a large number of records. MongoDB does not have a schema, providing more flexibility and allowing it to work with unstructured, semi-structured, and structured data.

Which database is best to learn in 2025?

Table of contents

• PostgreSQL.
• MySQL.
• SQLite.
• MongoDB.
• Microsoft SQL Server.
• Oracle Database.
• Redis.
• Cassandra.

PostgreSQL vs MySQL: The Breakdown

Should I learn Oracle or MySQL?

The main difference between MySQL and Oracle is that MySQL is an open-source relational database known for its ease of use and cost-effectiveness, while Oracle is a robust, enterprise-grade relational database offering advanced features, scalability, and comprehensive support.

What database does Chatgpt use?

It uses the vCore-based Azure Cosmos DB from MongoDB as a data store and for vector search, and Azure OpenAI to create vector embeddings and for chart completions. For the purposes of this Notebook demo, let us do the initial setup of the vectorized knowledge base in Cosmos DB.

Is MySQL still relevant in 2025?

In the 2020 Stack Overflow Developer Survey, MySQL and PostgreSQL already ranked among the most used databases worldwide. By 2025, their lead has only widened. MySQL, PostgreSQL, Microsoft SQL Server, and SQLite now make up the top four databases used by professional developers, far ahead of any noSQL alternative.

Why MongoDB instead of SQL?

The dynamic nature of MongoDB schema is useful because most of the data that is being generated by internet applications and IoT devices are non-structured which cannot be saved in a traditional SQL database. Additionally, many companies will store data before they know how it will be used later.

Which database is fastest?

ClickHouse® ClickHouse® generally outperforms most competitors in ClickBench tests, executing complex analytical queries that are often 10-100x faster than alternatives. This performance comes from columnar architecture with vectorized execution that processes billions of rows per second per server.

What is replacing SQL?

DynamoDB—The fully managed alternative to SQL

Where other databases guarantee flexibility through different data types and a high level of compatibility, DynamoDB focuses on user-friendliness.

Which database is trending now?

MySQL. MySQL is a widely adopted open-source relational database, especially popular in web and application development. It is easy to deploy, cost-effective, and supported by a large developer community. MySQL is commonly used in content management systems, SaaS platforms, and cloud-based applications.

Which database is best for beginners?

For beginners, the best database to design with is typically a relational database like MySQL or PostgreSQL. These databases are widely used, have extensive documentation, and follow a structured approach using tables, rows, and columns, which makes them easier to understand for newcomers.

Who is MongoDB's biggest competitor?

MongoDB's biggest competitors vary by use case, but key rivals in the NoSQL space include Amazon DynamoDB, Couchbase, and Redis, while relational databases like PostgreSQL and cloud data warehouses like Snowflake are strong contenders, especially for those seeking SQL flexibility or advanced analytics. DynamoDB excels in massive scalability within AWS, Couchbase offers multi-model flexibility, and Redis provides unmatched speed for caching, but PostgreSQL offers powerful JSON support, blending SQL & NoSQL. 

Is Python or SQL faster?

For querying: SQL is faster and more efficient (especially in databases). For cleaning: Python is more powerful and flexible. Best combo: Use SQL first to get the right data, then Python to refine it.

What is the number 1 database?

According to the DB-Engines Ranking (March 2025), the top 10 most popular DBMSs are: Oracle – 1268.91. MySQL – 1158.59. Microsoft SQL Server – 1081.33.

What is the golden rule of MongoDB?

Data modeling is an advanced topic, but the golden rule in MongoDB is that data that is accessed together should be stored together.

Is MongoDB still in demand?

Yes, MongoDB is still very much in demand, driven by its strength in cloud platforms, AI workloads (especially with vector search), its developer-friendly document model, and strong enterprise adoption by major companies like over 70% of the Fortune 100. Its cloud service, MongoDB Atlas, is a major growth engine, appealing to modern applications needing flexibility, scalability, and smooth integration with new tech stacks, though traditional SQL remains preferred for many standard relational needs. 

Which is faster MongoDB or MySQL?

As MongoDB stores a large volume of unstructured data and follows a document-based storage approach, it's relatively faster than MySQL. It means MongoDB stores data in a single document for an entity and helps in faster data read or write. Features like replication can be a big reason for this.

Does Netflix use MySQL?

Netflix uses MySQL for managing relational data that requires structured storage and transactions. Although NoSQL databases handle the bulk of Netflix's data due to their scalability and flexibility, MySQL remains valuable for certain relational operations.

Will SQL be taken over by AI?

THE FUTURE: AI + SQL = POWER COMBO

AI will handle routine queries, and humans will focus on strategy, debugging, and optimization. According to Gartner, by 2026, more than 60% of data queries will be generated using AI tools. But here's the catch, someone still needs to validate and improve those queries.

Can I learn MySQL in 2 days?

MySQL 2-Day Live MasterClass – A hands-on, intensive training designed to help you master MySQL in just 2 days! Learn database fundamentals, advanced querying, optimization techniques, and real-world applications with live interactive sessions.

Which database is best for AI?

7 Top AI Database Tools for 2025: In-Depth Reviews & Comparison

• Milvus. Milvus is an open-source vector database built for managing and searching massive amounts of high-dimensional data, making it ideal for AI and machine learning workloads. ...
• ChromaDB. ...
• Pinecone. ...
• Weaviate. ...
• FAISS. ...
• Qdrant. ...
• Databricks Lakehouse.

Which db does WhatsApp use?

Database Design

Local Database: WhatsApp uses SQLite to store chat histories, contacts, and sent messages locally, providing quick access even when offline. Server-side Database: To handle billions of messages daily, WhatsApp employs a sharded database architecture, where each shard handles a subset of users.

What are the 4 types of AI?

The four types of AI, based on their capabilities, are Reactive Machines, Limited Memory, Theory of Mind, and Self-Aware; only the first two types (Reactive and Limited Memory) exist today, while the latter two are theoretical concepts for future AI, representing increasing levels of complexity from basic task performance to true consciousness.