Looking for database books? We've gathered 27 free database books in PDF, covering database systems, SQL, database design, MySQL, PostgreSQL, and NoSQL.
These books explain how database management systems store, organize, and query data, from relational databases to your first SQL joins. You'll find full university textbooks, short guides for beginners, and references to keep open while you work.
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Fundamentals
Database Books
Start with these database books if you are new to the subject. They cover how a database management system works: the relational model, transactions, storage, and indexing.
A full introductory textbook from the IBM DB2 on Campus series. It covers the relational model, conceptual and logical design, normalization, SQL, application development, and database security, with exercises in every chapter.
A complete DBMS course in ten lessons: data models, ER modeling, relational algebra and calculus, SQL, normalization, file organization, and the hierarchical and network models. Each lesson ends with self-assessment questions.
University lecture notes that follow a full database course: system architecture, storage and B+ tree indexes, relational algebra, SQL, normalization up to 5NF, query optimization, transactions, and distributed databases.
A classic look inside a relational database engine. It explains process models, parallel architectures, the query processor, storage management, transactions, and the shared components that hold a DBMS together.
Joseph M. Hellerstein, Michael Stonebraker and James Hamilton
The famous Red Book. Three leading researchers comment on the papers that shaped the field, from traditional relational systems to dataflow engines, weak isolation, query optimization, and interactive analytics.
Peter Bailis, Joseph M. Hellerstein and Michael Stonebraker
Concise notes for a first DBMS course. They walk through data models, ER diagrams, relational algebra, SQL queries with examples, normal forms, transactions, and access control with GRANT and REVOKE.
A short, friendly report that explains relational databases from the ground up and then compares them with object oriented databases. Includes an annotated bibliography for further reading.
A beginner unit that explains what data, databases, and database management systems are, then guides you through creating tables and records in Microsoft Access with hands-on practice.
A brief introduction to the database approach. It compares file-based systems with a DBMS, describes schemas, the DBMS environment and its roles, and weighs the advantages and disadvantages of databases.
A practical SQL reference built from real questions and answers. Covers SELECT, joins, GROUP BY, subqueries, window functions, indexes, transactions, and stored procedures with short, ready to run examples.
An open source guide for beginners. You learn to create tables, insert and update data, filter with WHERE, sort and group results, join tables, and back up a MySQL database.
A vendor-neutral course on standard SQL. It starts with the relational model and moves through CREATE TABLE, data types, SELECT, joins, grouping, NULL handling, transactions, and views.
More than 280 pages of T-SQL tips. Topics include data types, common table expressions, window functions, JSON and XML handling, indexes, stored procedures, triggers, and backup and restore.
A hands-on reference for SQL in Oracle. It covers joins, hierarchical queries, string and date functions, sequences, partitioning, indexes, and the basics of PL/SQL.
A good schema saves you from slow queries and messy data later. These database design books teach entity-relationship modeling, keys, and normalization step by step.
An open textbook on designing relational databases. It teaches data modeling, entity-relationship diagrams, integrity rules, functional dependencies, and normalization, and closes with SQL exercises.
Learn relational design by building real databases in Access. The book covers tables and keys, queries, forms and reports, entity-relationship modeling, mapping ERDs to tables, and normalization.
Essays on The Third Manifesto by two pioneers of relational theory. They examine types, relation variables, missing information, normal forms, and the design of the Tutorial D language.
Nearly 200 pages of practical MySQL know-how: data types, joins, indexes, stored routines, triggers, replication, backups with mysqldump, user permissions, and performance tuning.
An open guide to MySQL from installation to administration. Covers the query language, table types, stored programs, replication, optimization, and connecting from PHP and other APIs.
A course workbook with step-by-step exercises. You set up a MySQL server, create databases and tables, write queries, link tables with keys, and manage users and privileges.
PostgreSQL is the open source database many developers choose for serious projects. Here you'll find a beginner guide, a look at its internals, and the official documentation.
A small book for your first steps with PostgreSQL. It covers installation on Linux and Windows, writing queries on a demo database, transactions, basic server setup, and useful extensions.
A compact reference with working examples: data types, window functions, common table expressions, JSON support, triggers, PL/pgSQL, backups, roles, and high availability.
A deep look at how PostgreSQL works under the hood. It explains isolation and MVCC, the buffer cache and WAL, locks, query execution and planning, and every index type from B-tree to BRIN.
The official PostgreSQL manual in a single file. It includes the tutorial, the full SQL language reference, server administration, client interfaces, and server programming.
A quick, well-loved introduction to MongoDB. In about 60 pages you learn selectors, updates, data modeling without joins, aggregation, indexes, replication, and when MongoDB is the right choice.
Practical MongoDB notes with examples: CRUD operations, the aggregation pipeline, indexes, replication, backups, bulk operations, and drivers for Java and Python.
A thorough survey of the NoSQL movement. It explains consistency models, partitioning, and storage layouts, then studies key-value stores, document databases like CouchDB and MongoDB, and column stores such as Cassandra.
A short guide to Redis and its data structures. It covers strings, hashes, lists, sets and sorted sets, plus expiration, transactions, publish and subscribe, and Lua scripting.
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