{"product_id":"datalevin-the-definitive-guide-to-logical-and-intelligent-databases-paperback","title":"Datalevin: The Definitive Guide to Logical and Intelligent Databases - Paperback","description":"\u003cp\u003eby \u003cb\u003eHuahai Yang\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSQL has been the default language of application databases for half a century. That default is now holding application state back.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eModern applications rarely fit neatly into SQL's table-first model. A product may need transactions, graph relationships, documents, full-text search, vector similarity, and persistent AI memory in the same workflow. The usual response is to add ORM layers, side indexes, vector stores, and auxiliary services-making ordinary application data harder to model, query, and change.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDatalevin offers a different foundation. It is a compact open-source database that stores application state as durable facts and queries those facts with Datalog. Built on LMDB, it combines ACID transactions, key-value storage, relational and graph relationships, documents, full-text search, vector search, and derived knowledge in one logical database.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThis guide makes replacing SQL at the center of application systems practical.\u003c\/strong\u003e It teaches Datalevin as a complete database rather than only a query language, covering its data model, transactions, schemas, identities, indexes, queries, performance, deployment, operations, and failure modes.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou will learn how to: \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThis guide is for engineers who build data-intensive applications and are ready to stop treating SQL as inevitable.\u003c\/strong\u003e You may be building an embedded application, a backend service, a knowledge graph, a search-heavy product, a durable workflow system, or an AI application that needs persistent memory.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eBasic familiarity with transactions, indexes, schemas, and querying is helpful. No previous Datalog experience is required; the guide introduces Datalog from first principles and develops it throughout the modeling, search, performance, and intelligent-systems chapters.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 492\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.99 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 20, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":71808554008829,"sku":"9798996235902","price":55.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/3414\/0157\/files\/pDrWvRmbaP9798996235902.webp?v=1793814680","url":"https:\/\/booktolia.com\/products\/datalevin-the-definitive-guide-to-logical-and-intelligent-databases-paperback","provider":"booktolia","version":"1.0","type":"link"}