Compare the Top Relational Database that integrates with SQLite as of July 2025

This a list of Relational Database that integrates with SQLite. Use the filters on the left to add additional filters for products that have integrations with SQLite. View the products that work with SQLite in the table below.

What is Relational Database for SQLite?

Relational database software provides users with the tools to capture, store, search, retrieve and manage information in data points related to one another. Compare and read user reviews of the best Relational Database for SQLite currently available using the table below. This list is updated regularly.

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    KS DB Merge Tools

    KS DB Merge Tools

    KS DB Merge Tools

    KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, SQLite, MS Access and Cross-DBMS databases allowing to compare and sync both schema and data. Starting with a schema changes summary, results can be narrowed down to object lists of particular object type (table definitions, views, etc.), and then down to definition of particular object. Data changes can be retrieved as a high-level list of changes totals across all tables in the database, each total row count can be observed as a side-by-side list of rows for the given table, each changed row can be analyzed for changes in each column. Various diff results provide quick filters to show only new/changed/new+changed items (schema objects or table data rows), ability to select required changed items and generate scripts to apply these changes to the other side database. This script can be executed immediately or saved for future use.
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    Starting Price: $65
  • 2
    CompareData
    Compare and synchronize sql data visually. CompareData allows you to visually compare and synchronize data between sql databases. Compare table, view or query data and see differences highlighted on the screen. Compare table metadata, generate sql sync script, use the command line and internal scheduling to automate comparison and data synchronization. • Compare data of table, query or group of tables. • Synchronize table data at row, table or group level. • Compare table metadata including columns, primary key, indices, foreign keys, triggers, permission and check constraints. • Compare stored procedures, functions and sequences, • Cross-dbms support with ODBC. • Compare resultsets of any size. • Native 64-bit application. • Multi-threaded, multi-core support. • Free for comparing data and metadata.
    Starting Price: $795 single user license
  • 3
    Dqlite

    Dqlite

    Canonical

    Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. Minimal, tunable delay for failover with automatic leader election. Disk-backed database with in-memory options and SQLite transactions.
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    rqlite

    rqlite

    rqlite

    The lightweight, user-friendly, distributed relational database built on SQLite. Fault tolerance and high availability with zero hassle. rqlite is a distributed relational database that combines the simplicity of SQLite with the robustness of a fault-tolerant, highly available system. It's developer-friendly, its operation is straightforward, and it's designed for reliability with minimal complexity. Deploy in seconds, with no complex configurations. Seamlessly integrates with modern cloud infrastructures. Built on SQLite, the world’s most popular database. Supports full-text search, Vector Search, and JSON documents. Access controls and encryption for secure deployments. Rigorous, automated testing ensures high quality. Clustering provides high availability and fault tolerance. Automatic node discovery simplifies clustering.
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