Alternatives to MariaDB

Teradata VantageCloud: Open, Scalable Cloud Analytics for AI VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.

Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes. Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

Amazon Redshift is the preferred choice among customers for cloud data warehousing, outpacing all competitors in popularity. It supports analytical tasks for a diverse range of organizations, from Fortune 500 companies to emerging startups, facilitating their evolution into large-scale enterprises, as evidenced by Lyft's growth. No other data warehouse simplifies the process of extracting insights from extensive datasets as effectively as Redshift. Users can perform queries on vast amounts of structured and semi-structured data across their operational databases, data lakes, and the data warehouse using standard SQL queries. Moreover, Redshift allows for the seamless saving of query results back to S3 data lakes in open formats like Apache Parquet, enabling further analysis through various analytics services, including Amazon EMR, Amazon Athena, and Amazon SageMaker. Recognized as the fastest cloud data warehouse globally, Redshift continues to enhance its performance year after year. For workloads that demand high performance, the new RA3 instances provide up to three times the performance compared to any other cloud data warehouse available today, ensuring businesses can operate at peak efficiency. This combination of speed and user-friendly features makes Redshift a compelling choice for organizations of all sizes.

Amazon Relational Database Service (Amazon RDS) simplifies the process of establishing, managing, and scaling a relational database in the cloud. It offers a cost-effective and adjustable capacity while taking care of tedious administrative tasks such as hardware provisioning, setting up databases, applying patches, and performing backups. This allows you to concentrate on your applications, ensuring they achieve fast performance, high availability, security, and compatibility. Amazon RDS supports various database instance types optimized for memory, performance, or I/O, and offers a selection of six well-known database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. Additionally, the AWS Database Migration Service facilitates the seamless migration or replication of your existing databases to Amazon RDS, making the transition straightforward and efficient. Overall, Amazon RDS empowers businesses to leverage robust database solutions without the burden of complex management tasks.

CUBRID is a relational database management system (DBMS) specifically designed for online transaction processing (OLTP) that adheres to ANSI SQL standards, offering features such as MVCC support, high-availability capabilities, and user-friendly GUI tools for database management and migration. Additionally, it boasts compatibility with Oracle and MySQL, and supports a range of interfaces, including JDBC. Installation is straightforward, and it includes native GUI-based administration tools to streamline the development process. CUBRID's architecture is multi-threaded and multi-server, equipped with a native broker middleware, a cost-based optimizer, and advanced caching methods to enhance OLTP performance. It also incorporates highly reliable automatic failover technology via the CUBRID Heartbeat engine core, ensuring minimal downtime. With multi-volume support and automatic volume expansion, it can handle an extensive number of databases, tables, and indexes without size limitations. Furthermore, its robust features make it suitable for dynamic and scalable applications in various industries.

Snowflake offers a unified AI Data Cloud platform that transforms how businesses store, analyze, and leverage data by eliminating silos and simplifying architectures. It features interoperable storage that enables seamless access to diverse datasets at massive scale, along with an elastic compute engine that delivers leading performance for a wide range of workloads. Snowflake Cortex AI integrates secure access to cutting-edge large language models and AI services, empowering enterprises to accelerate AI-driven insights. The platform’s cloud services automate and streamline resource management, reducing complexity and cost. Snowflake also offers Snowgrid, which securely connects data and applications across multiple regions and cloud providers for a consistent experience. Their Horizon Catalog provides built-in governance to manage security, privacy, compliance, and access control. Snowflake Marketplace connects users to critical business data and apps to foster collaboration within the AI Data Cloud network. Serving over 11,000 customers worldwide, Snowflake supports industries from healthcare and finance to retail and telecom.

HeidiSQL is a free program that aims to make it easy to use. "Heidi" allows you to view and edit data and structures on computers that run one of the following database systems: MariaDB, MySQL or Microsoft SQL. Ansgar invented HeidiSQL in 2002. It is one of the most popular tools for MariaDB or MySQL. OpenSource, free for everyone Multiple servers can be connected in one window. MariaDB, MySQL and MS SQL are supported. You can connect to servers via commandline. You can connect via SSH tunnel or SSL settings. Edit tables, views, stored procedures, triggers, and scheduled events. You can create beautiful SQL-exports and then compress them or copy them to the clipboard. Export directly from one server/database to another server/database. You can manage user privileges, import text-files, and export table rows in CSV, HTML HTML, XML, SQL, LaTeX Wiki Markup, and PHP Array. A grid allows you to browse and edit table-data.

IBM Informix® is a highly adaptable and efficient database that can effortlessly combine SQL, NoSQL/JSON, as well as time series and spatial data. Its flexibility and user-friendly design position Informix as a top choice for diverse settings, ranging from large-scale enterprise data warehouses to smaller individual application development projects. Moreover, due to its compact footprint and self-managing features, Informix is particularly advantageous for embedded data management applications. The rising demand for IoT data processing necessitates strong integration and processing capabilities, which Informix fulfills with its hybrid database architecture that requires minimal administrative effort and has a small memory footprint while delivering robust functionality. Notably, Informix is well-equipped for multi-tiered architectures that necessitate processing at various levels, including devices, gateway layers, and cloud environments. Furthermore, it incorporates native encryption to safeguard data both at rest and in transit. Additionally, Informix supports a flexible schema alongside multiple APIs and configurations, making it a versatile choice for modern data management challenges.

GeoSpock revolutionizes data integration for a connected universe through its innovative GeoSpock DB, a cutting-edge space-time analytics database. This cloud-native solution is specifically designed for effective querying of real-world scenarios, enabling the combination of diverse Internet of Things (IoT) data sources to fully harness their potential, while also streamlining complexity and reducing expenses. With GeoSpock DB, users benefit from efficient data storage, seamless fusion, and quick programmatic access, allowing for the execution of ANSI SQL queries and the ability to link with analytics platforms through JDBC/ODBC connectors. Analysts can easily conduct evaluations and disseminate insights using familiar toolsets, with compatibility for popular business intelligence tools like Tableau™, Amazon QuickSight™, and Microsoft Power BI™, as well as support for data science and machine learning frameworks such as Python Notebooks and Apache Spark. Furthermore, the database can be effortlessly integrated with internal systems and web services, ensuring compatibility with open-source and visualization libraries, including Kepler and Cesium.js, thus expanding its versatility in various applications. This comprehensive approach empowers organizations to make data-driven decisions efficiently and effectively.

Explore a diverse array of SQL features that allow you to build applications ranging from straightforward analytics to complex hybrid transactional and analytical processing. If you're eager to uncover insights from your data, striving for efficiency, or facing tight deadlines, MonetDB can deliver query results in just seconds or even faster. For those looking to leverage or modify their own code and requiring specialized functions, MonetDB provides hooks to integrate user-defined functions in SQL, Python, R, or C/C++. Become part of the vibrant MonetDB community that spans over 130 countries, including students, educators, researchers, startups, small businesses, and large corporations. Embrace the forefront of analytical database technology and ride the wave of innovation! Save time with MonetDB’s straightforward installation process, allowing you to quickly get your database management system operational. This accessibility ensures that users of all backgrounds can efficiently harness the power of data for their projects.

Amazon Aurora is a cloud-based relational database that is compatible with both MySQL and PostgreSQL, merging the high performance and reliability of traditional enterprise databases with the ease and affordability of open-source solutions. Its performance surpasses that of standard MySQL databases by as much as five times and outpaces standard PostgreSQL databases by three times. Additionally, it offers the security, availability, and dependability synonymous with commercial databases, all at a fraction of the cost—specifically, one-tenth. Fully managed by the Amazon Relational Database Service (RDS), Aurora simplifies operations by automating essential tasks such as hardware provisioning, database configuration, applying patches, and conducting backups. The database boasts a self-healing, fault-tolerant storage system that automatically scales to accommodate up to 64TB for each database instance. Furthermore, Amazon Aurora ensures high performance and availability through features like the provision of up to 15 low-latency read replicas, point-in-time recovery options, continuous backups to Amazon S3, and data replication across three distinct Availability Zones, which enhances data resilience and accessibility. This combination of features makes Amazon Aurora an appealing choice for businesses looking to leverage the cloud for their database needs while maintaining robust performance and security.

The myway SQL Manager provides a powerful tool for MySQL and MariaDB database programming and administration. The program is available for free download and use. Operation on the Intranet, or Internet. Web-based. Fully Ajax controlled, built in PHP and Javascript. All modules are speed-optimized. 132 languages. Tab controlled. Work on multiple databases or tables at once. Backup copies are recommended in the event of deletion or changes to views and routines. User management with Program Rights Configuration options to customize program settings and user layout. Own server connections with individual edit rights for users. Unlimited number of MySQL or MariaDB database connections. Connected servers offer extensive information and editing options. Editing tables, views, sequences, procedures, functions and triggers. Backup and recovery. Data import and export. Search and replace, syntax highlighting and a powerful SQL editor. Search function for database elements. Helplinks.

SkySQL is a MySQL-compatible and MariaDB serverless DBaaS platform offering businesses a seamless, scalable, and cost-efficient solution for database management. Its serverless architecture automatically adjusts resources to demand, allowing for instant scaling and zero waste during idle times. With integrated SkyAI DBA And Developer Copilot agents for performance optimization and SkyDBA fractional DBA services for expert database maintenance, businesses can achieve operational efficiency while focusing on innovation. Additionally, SkySQL provides integrated AI Agents for text-to-SQL queries and improved security, ensuring that data access remains streamlined and secure. Perfect for developers, it offers a forever-free tier to get started without upfront costs.

Effortlessly launch applications in the cloud by selecting from a variety of languages and frameworks that suit your needs. Ensure business continuity and adapt swiftly to fluctuations in customer requirements through automatic high availability and scalable resources. Experience unmatched security and compliance features, including Azure IP Advantage, while benefiting from an extensive network of Microsoft data centers worldwide. Select the optimal resources for your specific workloads without worrying about hidden fees. By integrating MariaDB Community edition with the advantages of a fully managed service, developers can alleviate the challenges of infrastructure and database management, allowing them to concentrate on creating outstanding applications. Azure Database for MariaDB is compatible with widely-used open-source frameworks and languages, providing seamless integration with Azure web apps. Moreover, it can be utilized alongside popular content management systems like WordPress and Drupal, ensuring a fully cohesive experience tailored to meet your application development requirements. This seamless integration facilitates a smoother workflow, enabling developers to innovate and enhance their applications more effectively.

Explore, create, and manage databases utilizing Valentina DB, MySQL, MariaDB, PostgreSQL, and SQLite at no cost. Generate comprehensive business reports through Valentina Studio Pro, either on Valentina Server or within an application that utilizes an Application Developer Kit. Engage in backward engineering with standard practices while also employing forward engineering techniques in Valentina Studio Pro. Conduct reverse engineering to produce diagrams for pre-existing databases, and easily integrate new elements into these diagrams. Write SQL queries with features such as auto-completion and syntax highlighting, while also defining and managing favorite queries and accessing recent ones seamlessly. Benefit from a function browser that provides a dictionary for each SQL function as well as consoles that report errors, warnings, and performance metrics. Efficiently search and export result records in various formats including CSV, JSON, and Excel, while simultaneously editing the properties of multiple database objects. Delve deep into tables and fields with remarkable speed, and manage the addition or removal of users and groups, along with their associated privileges. This multifaceted approach ensures that users can handle database management with efficiency and effectiveness.

Auto Backup for MySQL Professional Edition operates independently as a utility that does not necessitate any supplementary software installation. There's no requirement for the MySQL or MariaDB client to be present on your local machine when executing backups or restorations. This software facilitates the backup of MySQL or MariaDB databases directly from their original server to SQL files stored either on local disk, a network drive, or a backup server, and it can also transfer databases between servers. Conversely, it is capable of restoring MySQL or MariaDB databases from SQL files, a backup server, or another database. The Auto Backup for MySQL Professional Edition is designed to execute backup and restoration tasks automatically without user intervention. Users also have the option to manually initiate the program whenever needed. Furthermore, the software can be configured to run as a Windows Service, allowing backup and restoration processes to occur without requiring a user to be logged into Windows. It effectively manages the backup and restoration of all MySQL and MariaDB components, ensuring comprehensive data protection. This versatility makes it an essential tool for database administrators seeking efficiency and reliability in their backup solutions.

Explore and Document MySQL and MariaDB Databases. dbForge Documenter for MySQL is a valuable tool for MySQL and MariaDB databases that helps automatically generate documentation of an entire database in HTML, PDF, and MARKDOWN file formats. A wealth of options allow users to fine-tune the created documentation. You can always find the latest version of the product on the official Devart website.

Sequelize serves as a contemporary ORM for Node.js and TypeScript, compatible with various databases including Oracle, Postgres, MySQL, MariaDB, SQLite, and SQL Server. It boasts robust features such as transaction support, model relationships, eager and lazy loading, and read replication. Users can easily define models and optionally utilize automatic synchronization with the database. By establishing associations between models, it allows Sequelize to manage complex operations seamlessly. Instead of permanently deleting records, it offers the option to mark them as deleted. Additionally, features like transactions, migrations, strong typing, JSON querying, and lifecycle events (hooks) enhance its functionality. As a promise-based ORM, Sequelize facilitates connections to popular databases such as Amazon Redshift and Snowflake’s Data Cloud, requiring the creation of a Sequelize instance to initiate the connection process. Moreover, its flexibility makes it an excellent choice for developers looking to streamline database interactions efficiently.

Examine disk space utilization by listing the number of databases along with their respective data and index sizes to identify which MySQL and MariaDB servers consume the most storage. Access graphical representations and overviews of the disk space occupied by databases across servers and the tables within those databases, allowing for quick identification of the largest entities. Gain a comprehensive understanding of the security, availability, health, and performance of all MySQL and MariaDB servers through a unified, modern web console that is easy to navigate. Leverage numerous monitoring tools that automatically assess server configurations and security measures. Detect and receive notifications about potential security risks and optimization suggestions based on expert guidance. Create user accounts with restricted access to specific servers and configurations, delineating user types, roles, permitted actions, as well as restricted actions, tags, and tabs. This management of user access is critical to preventing unintended actions, executing irreversible tasks, or modifying server settings without the knowledge of an administrator, thereby enhancing overall server integrity. Furthermore, this approach contributes to a more organized and secure environment for database management and monitoring.

Modern native client with intuitive GUI tools to access, query, and edit multiple databases: MySQL. PostgreSQL. SQLite. Microsoft SQL Server. Amazon Redshift. MariaDB. CockroachDB. Vertica. Snowflake. Oracle. Redis.

dbForge data compare for MySQL is a quick, easy-to use tool to compare and synchronize MySQL, MariaDB, and Percona database data. The tool allows you to see the differences between data and analyze them. It generates synchronization code, and lets you apply changes in a flash. It allows regular MySQL data comparisons to be scheduled using the command line.

dbForge Schema Comparison for MySQL is an easy-to-use, fast tool that compares and synchronizes structures of MySQL MariaDB and Percona database. The tool generates a clear and accurate SQL script to update database schema. It provides a comprehensive overview of all differences among MySQL, MariaDB, and Percona databases.

SQLGate is an IDE that allows you to create multiple SQL databases. It's simple and powerful. It simplifies the creation and operation of databases by providing integrated database management and development solutions. It can be customized for seven databases, which make up 83.2% in the DBMS market. These databases include Oracle, SQL Server MySQL, MariaDB and Tibero as well as PostgreSQL. SQLGate makes it easy and faster to manage large databases with large amounts of data. Multiple Languages available: Korean, English, Spanish, French, Japanese, etc..

KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, MS Access, SQLite 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.

Luna Modeler is an easy-to-use data modeling tool for your favorite databases. Design and visualize database structures, generate SQL scripts, and create interactive documentation. Perfect for both pros and beginners, Luna Modeler makes data modeling simple! Supported platforms: - Oracle Database - SQL Server - PostgreSQL - MySQL - MariaDB - SQLite Key features: - Database modeling and design - Reverse engineering from Oracle, SQL Server, PostgreSQL, MySQL, MariaDB - Import from SQLite files - Support for SSH/SSL/TLS connections - Generation of interactive HTML reports - Generation of SQL scripts - Project update - Various themes and styles for reports - Multiple display modes - Support for sub-diagrams - Generation of alter scripts for selected database platforms

Navicat for MySQL serves as the perfect tool for managing and developing MySQL and MariaDB databases. This versatile application enables users to connect to both MySQL and MariaDB databases at the same time. It also supports cloud databases such as Amazon RDS, Amazon Aurora, Oracle Cloud, Google Cloud, and Microsoft Azure. With its comprehensive frontend, it offers a user-friendly yet robust graphical interface that simplifies database management, development, and ongoing maintenance tasks. Furthermore, its features are designed to enhance productivity and streamline workflows for database professionals.

SingleStore, previously known as MemSQL, is a highly scalable and distributed SQL database that can operate in any environment. It is designed to provide exceptional performance for both transactional and analytical tasks while utilizing well-known relational models. This database supports continuous data ingestion, enabling operational analytics critical for frontline business activities. With the capacity to handle millions of events each second, SingleStore ensures ACID transactions and allows for the simultaneous analysis of vast amounts of data across various formats, including relational SQL, JSON, geospatial, and full-text search. It excels in data ingestion performance at scale and incorporates built-in batch loading alongside real-time data pipelines. Leveraging ANSI SQL, SingleStore offers rapid query responses for both current and historical data, facilitating ad hoc analysis through business intelligence tools. Additionally, it empowers users to execute machine learning algorithms for immediate scoring and conduct geoanalytic queries in real-time, thereby enhancing decision-making processes. Furthermore, its versatility makes it a strong choice for organizations looking to derive insights from diverse data types efficiently.

MySQLTuner is a lightweight script written in Perl, aimed at helping database administrators enhance the performance and configuration of MySQL and MariaDB systems. It evaluates essential metrics and parameters associated with system performance, security, and resource consumption, offering practical suggestions for improvement. By analyzing the existing workload, cache utilization, query efficiency, and memory allocation, MySQLTuner pinpoints possible bottlenecks and recommends modifications to configuration settings. This tool is especially beneficial for continuous maintenance, as it draws attention to problems like inefficient indexing, the use of too many temporary tables, or poor query caching practices. Database administrators rely on MySQLTuner not only to ensure peak performance but also to minimize system overhead while fostering a robust and efficient database setup. Its user-friendly interface and straightforward recommendations make it an indispensable asset for managing databases effectively.

As the trend towards distributed applications and architectures continues to grow, it is essential for your database to adapt accordingly. Discover the flexibility of a distributed SQL database that allows you to deploy it wherever and whenever you need, tailored to your specific requirements. Transition your current SQL applications to a robust multi-node setup that can effortlessly scale both up and down as demand fluctuates. Our Transaction Engines (TEs) and Storage Managers (SMs) collaborate seamlessly to maintain ACID compliance across various nodes. By implementing a distributed architecture, your database can withstand the failure of one or more nodes without compromising access. You can strategically deploy TEs and SMs to align with your changing workload demands or across the various environments utilized by your teams, whether in private clouds, public clouds, hybrid setups, or across multiple cloud services. This adaptability ensures that your database remains resilient and efficient in a dynamic technological landscape.

OraDump-to-MySQL is a utility designed to facilitate the transfer of data from Oracle dump files directly into MySQL, MariaDB, or Percona databases, eliminating the need for an Oracle installation by allowing direct reading from the dump files. Its command line interface enables users to script, automate, and schedule the entire conversion process efficiently. Notable features include compatibility with all versions of Oracle dump files, whether from EXP or EXPDP, as well as support for various Linux/Unix and Windows MySQL installations, including forks like MariaDB and Percona, as well as DBaaS options. Additionally, users have the flexibility to merge Oracle data into an existing MySQL database, handle parallel exports of Oracle dump files, and even convert Oracle data into a MySQL dump file, making it a versatile tool for database management. This multifaceted approach streamlines data migration, enhancing productivity and efficiency for users.

If your organization is among the many transitioning from commercial databases to open-source options like MySQL or PostgreSQL, or if you're developing new applications utilizing open-source database management systems (OSDBMS), you're likely aware of the limitations of commercial tools for these databases. Imagine the potential savings and efficiency gains from adopting OSDBMS while enjoying a familiar set of tools to accelerate your progress. With Toad Edge®, this is entirely possible. This efficient and dependable desktop toolset streamlines both development and management tasks associated with open-source databases. By utilizing Toad for managing MySQL and PostgreSQL, you can quickly become proficient in these new database platforms. Additionally, if you're venturing into MariaDB, Amazon Redshift, or EDB Postgres Advanced Server, Toad Edge will make your experience more straightforward on those systems as well. Offering support for coding, editing, schema comparison and synchronization, along with DevOps CI processes, Toad Edge ensures that you can confidently and easily handle your open-source database management needs while enhancing your workflow. By leveraging Toad Edge, you can optimize your database operations and focus more on innovation and less on the intricacies of management.

OpenText Analytics Database is a cutting-edge analytics platform designed to accelerate decision-making and operational efficiency through fast, real-time data processing and advanced machine learning. Organizations benefit from its flexible deployment options, including on-premises, hybrid, and multi-cloud environments, enabling them to tailor analytics infrastructure to their specific needs and lower overall costs. The platform’s massively parallel processing (MPP) architecture delivers lightning-fast query performance across large, complex datasets. It supports columnar storage and data lakehouse compatibility, allowing seamless analysis of data stored in various formats such as Parquet, ORC, and AVRO. Users can interact with data using familiar languages like SQL, R, Python, Java, and C/C++, making it accessible for both technical and business users. In-database machine learning capabilities allow for building and deploying predictive models without moving data, providing real-time insights. Additional analytics functions include time series, geospatial, and event-pattern matching, enabling deep and diverse data exploration. OpenText Analytics Database is ideal for organizations looking to harness AI and analytics to drive smarter business decisions.

dbForge Edge is the newest Devart product - the multidatabase software solution covers all database-related jobs, allowing its users to accelerate the tasks' completion, save costs, and improve overall productivity. A set of powerful features applies to all most popular database management systems - MySQL and MariaDB, SQL Server, Oracle, and PostgreSQL. Notice the most helpful features of dbForge Edge: Database design & development. Data and schema management. Data analysis. Reporting. Database administration.

Greenplum Database® stands out as a sophisticated, comprehensive, and open-source data warehouse solution. It excels in providing swift and robust analytics on data volumes that reach petabyte scales. Designed specifically for big data analytics, Greenplum Database is driven by a highly advanced cost-based query optimizer that ensures exceptional performance for analytical queries on extensive data sets. This project operates under the Apache 2 license, and we extend our gratitude to all current contributors while inviting new ones to join our efforts. In the Greenplum Database community, every contribution is valued, regardless of its size, and we actively encourage diverse forms of involvement. This platform serves as an open-source, massively parallel data environment tailored for analytics, machine learning, and artificial intelligence applications. Users can swiftly develop and implement models aimed at tackling complex challenges in fields such as cybersecurity, predictive maintenance, risk management, and fraud detection, among others. Dive into the experience of a fully integrated, feature-rich open-source analytics platform that empowers innovation.

SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.

Anuko Time Tracker is a web-based time management tool that is open-source and developed using PHP. This application enables the tracking of the time spent by employees, colleagues, or team members on various projects and tasks. To operate, it requires a web server like Apache or IIS and a database solution such as MariaDB or MySQL for data storage. Once you complete the registration process, you can set up at least one project via the Projects tab. After this simple setup, you will be fully equipped to monitor work hours on the Time page and generate analytics through the Reports page. To install it, you need access to a compatible server, which can run PHP scripts, along with a suitable database server. This time tracking application is versatile, capable of functioning on any operating system that supports such an environment, including Linux, FreeBSD, Windows, and macOS, among others. Thus, it provides users with the flexibility to effectively manage their time across different platforms.

Navicat Premium is a database tool that allows you connect to MySQL, MariaDB and MongoDB as well as SQL Server, Oracle, PostgreSQL and SQLite databases simultaneously from one application. Compatible with cloud databases such as Amazon RDS, Amazon Aurora and Amazon Redshift, Microsoft Azure. Oracle Cloud, Google Cloud, MongoDB Atlas, MongoDB Atlas, Google Cloud, Oracle Cloud, Google Cloud, and Oracle Cloud. Your databases can be quickly and easily built, managed, and maintained. Data Transfer, Structure Synchronization, and Data Synchronization make it easier to migrate your data faster and with less overhead. Deliver detailed, step-by-step guidelines for transferring data across various DBMS. Data and Structure Synchronization allows you to compare and synchronize different databases. You can set up and deploy the comparisons within seconds. The detailed script will allow you to specify the changes that you want to make.

Tungsten Clustering is the only fully-integrated, fully-tested, fully-tested MySQL HA/DR and geo-clustering system that can be used on-premises or in the cloud. It also offers industry-leading, fastest, 24/7 support for Percona Server, MariaDB and MySQL applications that are business-critical. It allows businesses that use business-critical MySQL databases to achieve cost-effective global operations with commercial-grade high availabilty (HA), geographically redundant disaster relief (DR), and geographically distributed multimaster. Tungsten Clustering consists of four core components: data replication, cluster management, and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion.

DbSchema is an innovative tool designed for collaborative visual schema design, deployment, and documentation within teams. Its various integrated features, such as data exploration, a visual query editor, and data generator, make it an essential resource for anyone working with databases on a daily basis. Supporting a wide range of both relational and No-SQL databases—including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, and Google—DbSchema caters to diverse database needs. One of its standout capabilities is reverse-engineering database schemas and representing them visually through diagrams. Users can engage with their databases through these diagrams and other visual tools. The DbSchema model maintains its version of the schema structure, which is distinct from the actual database, enabling seamless deployment across various databases. This feature allows users to save design models as files, store them in GIT, and collaborate on schema design without needing a direct database connection. Additionally, users can easily compare different schema versions and generate SQL migration scripts, enhancing their workflow efficiency. Ultimately, DbSchema empowers teams to streamline their database management processes effectively.

dbForge Studio for MySQL is a multi-featured IDE that covers nearly every aspect of MySQL and MariaDB development, management, administration, data analysis, and reporting. The rich feature set of the Studio is augmented by a clean and intuitive GUI and CLI-powered automation capabilities. Key features: Database Development. dbForge Studio for MySQL offers quite a few features to streamline routine SQL coding and ensure the high quality of the output. For example: *SQL coding assistance *Query Profiler *MySQL Debugger *Visual Query Builder *Source Control. Using dbForge Studio for MySQL, you can set up and streamline effective version control of database schemas and static table data. Database Design. In terms of database design, the Studio provides visual object editors and handy functionality that helps you visualize databases on entity-relationship diagrams. Database Management. The Studio delivers a set of features for effective and versatile database management. Data Analysis & Reporting. dbForge Studio for MySQL facilitates data aggregation, analysis, and reporting. Database Administration. There are also integrated features to ensure quick and smooth database administration.

Introducing a versatile and free database management tool designed for developers, database administrators, analysts, and anyone who engages with databases. It offers compatibility with a wide range of popular databases, including MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, among others. Recent updates include a new format configuration editor for the "Copy As" feature, enhanced performance through additional configurations in the filter dialog, and the ability to sort by column with fixed settings for smaller fetch sizes. Users can now benefit from case-insensitive filters, while the plaintext view has been improved by incorporating top and bottom dividers. Furthermore, the data editor has been rectified to address issues arising from column name conflicts with alias names, and the command for duplicating rows has been fixed for cases involving multiple selections. The context menu has been updated to include the edit sub-menu once again, and auto-sizing configurations for columns have been introduced. Additionally, the dictionary viewer has been corrected for use with read-only connections, and new features support current and selected row highlighting, which can be customized according to user preferences. This tool continues to evolve, ensuring that users have the best possible experience while working with their database management tasks.

IBM Db2 encompasses a suite of data management solutions, prominently featuring the Db2 relational database. These offerings incorporate AI-driven functionalities designed to streamline the management of both structured and unstructured data across various on-premises and multicloud settings. By simplifying data accessibility, the Db2 suite empowers businesses to leverage the advantages of AI effectively. Most components of the Db2 family are integrated within the IBM Cloud Pak® for Data platform, available either as additional features or as built-in data source services, ensuring that nearly all data is accessible across hybrid or multicloud frameworks to support AI-driven applications. You can easily unify your transactional data repositories and swiftly extract insights through intelligent, universal querying across diverse data sources. The multimodel functionality helps reduce expenses by removing the necessity for data replication and migration. Additionally, Db2 offers enhanced flexibility, allowing for deployment on any cloud service provider, which further optimizes operational agility and responsiveness. This versatility in deployment options ensures that businesses can adapt their data management strategies as their needs evolve.

Accelerate your application development and ease database management with the premier hybrid multi-cloud DBaaS that supports Microsoft SQL Server, Oracle, EDB, PostgreSQL, MySQL, MariaDB, and MongoDB. Integrate databases seamlessly into your software development process while minimizing administrative tasks and ensuring optimal performance, resilience, and security for development, testing, and production environments. Provision, clone, and refresh databases effortlessly from development settings, allowing for greater efficiency. Automate administrative functions to maintain consistency with best practices, giving database administrators more time to focus on high-impact activities. Experience dependable performance, scalability, and security across all databases hosted on a hybrid multi-cloud framework. Facilitate collaboration for platform and operations teams by treating databases as code through REST API and Kubernetes integrations. The NDB Operator for Kubernetes empowers developers to provision, clone, and restore databases with minimal code, significantly reducing time-to-market. By leveraging these advanced capabilities, teams can enhance their workflow and drive innovation more effectively than ever before.

Oracle's database offerings provide clients with cost-effective and high-efficiency options, including the renowned multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. The Oracle Autonomous Database, which can be accessed on-premises through Oracle Cloud@Customer or within the Oracle Cloud Infrastructure, allows users to streamline their relational database systems and lessen management burdens. By removing the intricacies associated with operating and securing Oracle Database, Oracle Autonomous Database ensures customers experience exceptional performance, scalability, and reliability. Furthermore, organizations concerned about data residency and network latency can opt for on-premises deployment of Oracle Database. Additionally, clients who rely on specific versions of Oracle databases maintain full authority over their operational versions and the timing of any updates. This flexibility empowers businesses to tailor their database environments according to their unique requirements.