![]() SQLite does not have index concepts like disability, compression and online rebuilding.Composite indexes in SQL Server can cover up to 32 columns. SQLite has partial support for multi-column indexes.Nearly 1000 indexes per table are allowed. ![]() SQL Server supports B-Tree, hash, full-text, spatial, columnstore and filtered indexes.SQLite supports only B-Tree indexes on scalar data types.Both databases provide indexes, but with some key differences: Indexes are an important database mechanism to optimize data retrieval. SQLite is best suited for simpler data sets. This allows SQL Server to efficiently store and process diverse data types commonly found in enterprise applications. All columns have a generic affinity which is merely a recommendation, not strict typing.įor example, here are some key data type differences: Data Type Even commonly used types like boolean, datetime, bigint are missing. SQLite has very limited support for data types. However, SQL Server provides a much richer set of built-in data types covering numeric, date/time, character, Unicode, binary, spatial, JSON, XML, and custom types. SQLite vs SQL Server – Data Typesīoth SQLite and SQL Server support common scalar data types like integers, floats, strings, dates, and booleans. This full-fledged architecture allows SQL Server to support large-scale, high-performance applications accessing terabytes of data across many users. Requires configuration, deployment and maintenance.Client/server separation provides operational flexibility.Enterprise-grade performance, scalability and reliability.Support for many concurrent client connections.Centralized data storage and processing on the server.The server handles all aspects of data storage, querying, integrity, access control and transactions. The database engine runs as a dedicated service on a host server operating system:Ĭlient applications connect to the server using protocols like TCP/IP and ODBC/JDBC. SQL Server uses a traditional client-server architecture. Simultaneous write operations will be serialized. The downside is there can only be one single writer connection to the database at any time. Autonomy – The database file is standalone and self-sufficient.Embedded – The library is directly linked and integrated with the app code.Portability – The database file can be freely copied and shared.Serverless – No database server to deploy and maintain.Zero configuration – No complex installation or configuration. ![]() This simple, self-contained architecture brings some key advantages: There is no standalone database server process. The SQLite library directly accesses this file to handle queries and updates from the host application. SQLite stores the entire database (definitions, tables, indexes, and data) as a single cross-platform file on the host machine. Let’s dive into a detailed side-by-side comparison across various factors to understand when to use SQLite vs SQL Server. Which Should You Pick Between SQLite vs SQL Server?.SQLite vs SQL Server – Example Business Use Case.But their vastly different architecture leads to trade-offs in features, performance, scalability, and usage scenarios. It runs as a standalone database server.īoth support standard SQL syntax for managing relational data. SQL Server is a fully featured relational database platform with extensive capabilities like transactions, reporting, analytics, integration, and more.SQLite is a self-contained, serverless, zero-configuration, transactional database engine.SQLite and SQL Server represent two ends of the database technology spectrum: They are the backbone of most data-driven applications today.Īs an application developer or data professional, choosing the right database platform is crucial based on your specific requirements. Relational databases allow you to store and query structured data in tables linked through defined relationships. ![]() Compare SQLite with other popular databases:
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