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What are the most common NoSQL databases used in real-time web apps?

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NoSQL databases are becoming increasingly popular for developing real-time web apps that handle large volumes of data, complex queries, and dynamic schemas. Unlike traditional relational databases, NoSQL databases do not rely on fixed tables, rows, and columns to store and retrieve data. Instead, they use different data models, such as key-value, document, columnar, or graph, to organize and manipulate data more efficiently and flexibly. In this article, you will learn about some of the most common NoSQL databases used in real-time web apps, their advantages and disadvantages, and their typical use cases.

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1 Key-value databases

Key-value databases are the simplest form of NoSQL databases, where each data item is stored as a pair of a unique key and a value. The value can be anything, such as a string, a number, a binary object, or a JSON document. The key is used to access and update the value, without any predefined schema or structure. Key-value databases are very fast, scalable, and easy to use, as they only perform basic operations, such as get, set, delete, and append. However, they also have some limitations, such as lack of complex queries, joins, and transactions. Key-value databases are suitable for real-time web apps that need to store and retrieve simple data, such as user preferences, session data, caching, or counters.

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Jinnatul Raihan Mumu

Anti-Abuse Analyst at Snap Inc. | MBA in Information Systems | Threat Intelligence, Security, Trust and Safety
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Key-value databases are a versatile choice for applications that prioritize speed, simplicity, and scalability when dealing with retrieval needs. Use cases: 1. Excellent for caching frequently accessed data, such as web page content, database query results, or session information. 2. Storing user preferences and settings, such as theme choices, language preferences, or notification settings. 3. Manage session data for web applications, tracking user sessions, login status, and temporary data storage. 4. Well-suited for keeping counters, tracking page views, click counts, or other basic analytics data. 5. Can be used in distributed systems to share configuration data, coordinate tasks, or maintain consistent states across multiple nodes.

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2 Document databases

Document databases are another popular type of NoSQL databases, where each data item is stored as a document, usually in a format like JSON or XML. A document can contain nested fields, arrays, and objects, which allow for more complex and flexible data structures than key-value databases. Document databases also support various indexing and querying methods, such as full-text search, aggregation, and map-reduce. Document databases are ideal for real-time web apps that need to handle heterogeneous and semi-structured data, such as e-commerce, social media, or content management.

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3 Columnar databases

Columnar databases are a type of NoSQL databases that store data in columns, rather than rows. Each column contains a set of values for a specific attribute, such as name, age, or address. Columnar databases are optimized for fast and efficient reading and writing of large amounts of data, as they only access the columns that are relevant for a query, and compress the data to save storage space. Columnar databases also support distributed and parallel processing, which enable scalability and fault-tolerance. Columnar databases are best suited for real-time web apps that need to perform analytical and aggregational queries on massive data sets, such as business intelligence, data warehousing, or big data.

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4 Graph databases

Graph databases are a type of NoSQL databases that store data as nodes and edges, which represent entities and relationships, respectively. A node can have properties, such as name, type, or value, and an edge can have a direction, a label, or a weight. Graph databases are designed to handle complex and interconnected data, such as social networks, recommendation systems, or knowledge graphs. Graph databases offer powerful and expressive querying capabilities, such as traversals, shortest paths, or pattern matching. Graph databases are a good choice for real-time web apps that need to explore and analyze the connections and patterns among data, such as fraud detection, network analysis, or natural language processing.

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Garvit Arya

Leading Data & Analytics Capabilities @ Google | 40 Under 40 Data Scientist | LinkedIn Top Voice
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Graph databases find applications in various domains due to their ability to model intricate relationships: - Social Networks: Aiding friend suggestions, content recommendations, and targeted advertising. - Recommendation Systems: Utilized in e-commerce, media, and more to suggest products, movies, or music. - Fraud Detection: Uncover fraudulent activities in financial transactions by analyzing complex relationships and patterns among entities like accounts, transactions, and behaviors. - Transportation and Logistics: Optimize routes, deliveries, and connections in a transportation network. - Bioinformatics: Explore biological data like protein interactions, genetic pathways, or drug interactions.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Garvit Arya

Leading Data & Analytics Capabilities @ Google | 40 Under 40 Data Scientist | LinkedIn Top Voice
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Selecting the right NoSQL database for a real-time web app is crucial. - Consider scalability needs—horizontal or vertical scaling. - Assess consistency models (strong, eventual, causal) and balance between consistency and availability. - Check community strength for support and resources. - Evaluate security features, compliance, and associated costs. Ensure seamless integration with your tech stack and a rich ecosystem of tools. - Optimize performance through indexing, caching, and query tuning. Prioritize data backup and recovery mechanisms for data integrity. - Make an informed choice aligned with your application's specific needs.

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Lasha Dolenjashvili

Data Solutions Architect @ Bank of Georgia | Analytics Engineer & IIBA? Certified Business Analyst | Open to Freelance, Remote, or Relocation Opportunities
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To summarize, as of 2023, the most popular providers for each type of database are: - ??????-??????????. Redis, Amazon DynamoDB - ????????????????. MongoDB - ????????????????. Apache HBase, Amazon Redshift, MariaDB - ??????????. Neo4j

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What are the most common NoSQL databases used in real-time web apps?

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5

1 Key-value databases

2 Document databases

3 Columnar databases

4 Graph databases

5 Here’s what else to consider

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What are the most common NoSQL databases used in real-time web apps?

1

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3

4

5

1 Key-value databases

2 Document databases

3 Columnar databases

4 Graph databases

5 Here’s what else to consider

Data Science

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