Best Relational Database for SQL Server

Google Cloud SQL offers a managed service for running Relational Databases, allowing businesses to store and manage structured data using relational models. It provides high availability, automatic backups, and seamless scaling, ensuring that relational databases like MySQL, PostgreSQL, and SQL Server can perform optimally without manual intervention. Cloud SQL automates many tasks traditionally handled by database administrators, including patching and updating. With its ease of use and reliability, it’s an excellent choice for users looking for cloud-based relational databases. New customers can also take advantage of $300 in free credits to try Google Cloud SQL and see how it fits their relational database requirements.

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.

Create relational or flat file databases with unlimited tables, fields, and rows. Includes a custom report builder. Interface with ODBC compatible databases and create custom reports for them. Create your own personal and custom databases. Some Highlights: - Filter tables instantly - Ultra simple graphical-user-interface - One click table and data form creation - Open up to 5 databases simultaneously - Export your data to comma separated files - Create custom reports for all your databases - Full helpfile to assist in creating database reports - Print tables and queries directly from the data grid - Supports any SQL standard that your ODBC compatible database requires Please install and run this database application with full administrator rights for best performance and user experience. Requires: . 1024x768 Display Size . Windows 98 / XP / 7 / 8 / 10 - 32bit and 64bit No Java or DotNet required. Green Energy Software. Saving the planet one bit at a time...

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.

SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.

RDS for MySQL is a reliable and scalable cloud database service. You can deploy databases within minutes and stay focused on application development. Say goodbye to stressful database O&M once and for all. You can create a MySQL database in minutes with just a few clicks. RDS for MySQL facilitates software and hardware deployment and helps you manage your databases, including installing patches, monitoring metrics, dynamically scaling up or down, and failing over if needed. With optimized kernel thresholds, RDS for MySQL excels at handling massive amounts of concurrent requests. It outperforms the MySQL community edition. RDS for MySQL uses implicit primary keys to ensure almost zero delay of primary/standby replication. No data is lost even when your database is heavily loaded. As your storage requirements grow, you can easily provision 1 TB of storage for read replicas on-the-fly with zero downtime.

RDS for MySQL (Relational Database Service for MySQL) is a professional high-performance and high-reliability relational cloud database service. It provides simple and convenient web interface management, reliable data backup and recovery features, and complete security management and monitoring service. RDS for MySQL provides a high-performance and high-reliability relational database service. It supports three series, i.e., stand-alone basic version, dual high-availability version, and Raft financial version. It supports the standard database protocol by default and implements monitoring, automatic failover, data backup and recovery, instance management, and other features. Furthermore, it meets the customers' higher requirements for data management and storage through slow SQL statistics and diagnosis and reliable services, such as cross-domain hot instance groups. It supports the disaster recovery of a single availability zone and disaster recovery across availability zones.