Alternatives to Amazon Aurora

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.

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported: - MySQL - PostgreSQL - Redis™. - MongoDB®, database - Greenplum™ (coming soon) ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.

Amazon DynamoDB is a versatile key-value and document database that provides exceptional single-digit millisecond performance, regardless of scale. As a fully managed service, it offers multi-region, multimaster durability along with integrated security features, backup and restore capabilities, and in-memory caching designed for internet-scale applications. With the ability to handle over 10 trillion requests daily and support peak loads exceeding 20 million requests per second, it serves a wide range of businesses. Prominent companies like Lyft, Airbnb, and Redfin, alongside major enterprises such as Samsung, Toyota, and Capital One, rely on DynamoDB for their critical operations, leveraging its scalability and performance. This allows organizations to concentrate on fostering innovation without the burden of operational management. You can create an immersive gaming platform that manages player data, session histories, and leaderboards for millions of users simultaneously. Additionally, it facilitates the implementation of design patterns for various applications like shopping carts, workflow engines, inventory management, and customer profiles. DynamoDB is well-equipped to handle high-traffic, large-scale events seamlessly, making it an ideal choice for modern applications.

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.

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

Amazon ElastiCache enables users to effortlessly establish, operate, and expand widely-used open-source compatible in-memory data stores in the cloud environment. It empowers the development of data-driven applications or enhances the efficiency of existing databases by allowing quick access to data through high throughput and minimal latency in-memory stores. This service is particularly favored for various real-time applications such as caching, session management, gaming, geospatial services, real-time analytics, and queuing. With fully managed options for Redis and Memcached, Amazon ElastiCache caters to demanding applications that necessitate response times in the sub-millisecond range. Functioning as both an in-memory data store and a cache, it is designed to meet the needs of applications that require rapid data retrieval. Furthermore, by utilizing a fully optimized architecture that operates on dedicated nodes for each customer, Amazon ElastiCache guarantees incredibly fast and secure performance for its users' critical workloads. This makes it an essential tool for businesses looking to enhance their application's responsiveness and scalability.

MariaDB Platform is an enterprise-level open-source database solution. It supports transactional, analytical, and hybrid workloads, as well as relational and JSON data models. It can scale from standalone databases to data warehouses to fully distributed SQL, which can execute millions of transactions per second and perform interactive, ad-hoc analytics on billions upon billions of rows. MariaDB can be deployed on prem-on commodity hardware. It is also available on all major public cloud providers and MariaDB SkySQL, a fully managed cloud database. MariaDB.com provides more information.

Scale effortlessly and without constraints: This globally distributed database, compliant with ACID principles, automatically manages replicas, sharding, and transaction processing, allowing you to rapidly adapt to varying usage patterns and drive your product's success. Built on Google's robust and reliable infrastructure, Cloud Spanner has been proven through its extensive use by numerous Google services that cater to billions of users. It boasts an impressive availability rate of up to 99.999%, ensuring zero downtime during planned maintenance or schema updates. By simplifying tasks that often go unappreciated, Cloud Spanner provides a more straightforward experience for IT administrators and database administrators, who frequently find themselves overwhelmed with database management. Now, with just a few clicks, you can create or scale a globally replicated database, significantly lowering your database maintenance costs. As a result, teams can focus more on innovation rather than routine operational challenges.

HeatWave is a powerful, highly parallel in-memory query accelerator designed for Oracle MySQL Database Service, significantly boosting MySQL performance for both analytics and mixed workloads. It outperforms Amazon Redshift by a factor of 6.5 at just half the cost, surpasses Snowflake by 7 times while costing one-fifth as much, and is 1400 times quicker than Amazon Aurora at half the expense. This service uniquely facilitates the execution of OLTP and OLAP tasks directly within the MySQL database, thereby eliminating the challenges and costs associated with transferring and integrating data with an external analytics platform. The innovative MySQL Autopilot leverages cutting-edge machine-learning methods to streamline HeatWave’s functionality, enhancing usability, performance, and scalability even further. Additionally, HeatWave is specifically optimized for use within Oracle Cloud Infrastructure (OCI), ensuring seamless integration and efficiency. As a result, users can enjoy a comprehensive solution that meets diverse analytical needs without the usual complexities.

OceanBase simplifies the intricacies associated with traditional sharding databases, allowing for seamless scaling of your database to accommodate increasing workloads, whether that be through horizontal, vertical, or tenant-level adjustments. This capability supports on-the-fly scaling and ensures linear performance enhancement without experiencing downtime or requiring application modifications in high-concurrency situations, thereby guaranteeing faster and more dependable responses for performance-sensitive critical tasks. It is designed to empower mission-critical workloads and performance-driven applications across both OLTP and OLAP environments, all while upholding complete MySQL compatibility. With a commitment to 100% ACID compliance, it inherently supports distributed transactions along with multi-replica strong synchronization, leveraging Paxos protocols. Users can expect outstanding query performance that is essential for mission-critical and time-sensitive operations. Furthermore, this architecture effectively eliminates downtime, ensuring that your vital workloads remain consistently accessible and operational. Ultimately, OceanBase stands as a robust solution for businesses looking to enhance their database performance and reliability.

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.

PlanetScale is a MySQL-compatible database platform that makes databases near infinitely scalable, easier, and safer to manage. Add power to your database layer with non-blocking schema changes, build-in horizontal sharding, real-time analytics, and more.

Introducing a premier high-performance distributed SQL database that is open source and designed specifically for cloud-native environments, ideal for powering applications on a global internet scale. Experience minimal latency, often in the single-digit milliseconds, allowing you to create incredibly fast cloud applications by executing queries directly from the database itself. Handle immense workloads effortlessly, achieving millions of transactions per second and accommodating several terabytes of data on each node. With geo-distribution capabilities, you can deploy your database across various regions and cloud platforms, utilizing synchronous or multi-master replication for optimal performance. Tailored for modern cloud-native architectures, YugabyteDB accelerates the development, deployment, and management of applications like never before. Enjoy enhanced developer agility by tapping into the full capabilities of PostgreSQL-compatible SQL alongside distributed ACID transactions. Maintain resilient services with assured continuous availability, even amidst failures in compute, storage, or network infrastructure. Scale your resources on demand, easily adding or removing nodes as needed, and eliminate the necessity for over-provisioned clusters. Additionally, benefit from significantly reduced user latency, ensuring a seamless experience for your app users.

Amazon Athena serves as an interactive query service that simplifies the process of analyzing data stored in Amazon S3 through the use of standard SQL. As a serverless service, it eliminates the need for infrastructure management, allowing users to pay solely for the queries they execute. The user-friendly interface enables you to simply point to your data in Amazon S3, establish the schema, and begin querying with standard SQL commands, with most results returning in mere seconds. Athena negates the requirement for intricate ETL processes to prepare data for analysis, making it accessible for anyone possessing SQL skills to swiftly examine large datasets. Additionally, Athena integrates seamlessly with AWS Glue Data Catalog, which facilitates the creation of a consolidated metadata repository across multiple services. This integration allows users to crawl data sources to identify schemas, update the Catalog with new and modified table and partition definitions, and manage schema versioning effectively. Not only does this streamline data management, but it also enhances the overall efficiency of data analysis within the AWS ecosystem.

CockroachDB: Cloud-native distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services need a database that can scale across clouds, reduces operational complexity, and improves reliability. CockroachDB provides resilient, distributed SQL with ACID transactions. Data partitioned by geography is also available. Combining CockroachDB and orchestration tools such as Mesosphere DC/OS and Kubernetes to automate mission-critical applications can speed up operations.

Citus enhances the beloved Postgres experience by integrating the capability of distributed tables, while remaining fully open source. It now supports both schema-based and row-based sharding, alongside compatibility with Postgres 16. You can scale Postgres effectively by distributing both data and queries, starting with a single Citus node and seamlessly adding more nodes and rebalancing shards as your needs expand. By utilizing parallelism, maintaining a larger dataset in memory, increasing I/O bandwidth, and employing columnar compression, you can significantly accelerate query performance by up to 300 times or even higher. As an extension rather than a fork, Citus works with the latest versions of Postgres, allowing you to utilize your existing SQL tools and build on your Postgres knowledge. Additionally, you can alleviate infrastructure challenges by managing both transactional and analytical tasks within a single database system. Citus is available for free download as open source, giving you the option to self-manage it while actively contributing to its development through GitHub. Shift your focus from database concerns to application development by running your applications on Citus within the Azure Cosmos DB for PostgreSQL environment, making your workflow more efficient.

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.

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.

Experience a fully managed and hosted PostgreSQL solution that delivers exceptional performance along with all the necessary extensions readily available. You can establish your fully managed PostgreSQL instance in under ten minutes, using our web console or through various programming methods such as API, CLI, Terraform provider, or Kubernetes operator. Our standby nodes automatically serve as read replicas, and you have the flexibility to generate additional read replicas across different public clouds and geographic regions, enabling the creation of multi-cloud architectures. With Point-In-Time Recovery, you can restore your data to any moment within your chosen retention timeframe. This fully managed SQL relational database is deployable in the cloud environment of your preference, offering a reputation for reliability, a comprehensive feature set, and outstanding performance. It is suitable for a wide range of applications, including location-based services, critical business solutions, or serving as a general transactional database to meet diverse needs. As a result, it serves as an excellent choice for organizations looking to enhance their data management capabilities effectively.

Prioritize application innovation rather than database oversight by utilizing the fully managed and intelligent Azure Database for PostgreSQL service. Effortlessly scale your workloads while maintaining confidence in performance. Benefit from remarkable high availability, guaranteed by a service-level agreement (SLA) that promises up to 99.99 percent uptime, and select between same-zone or zone-redundant high availability options, coupled with AI-driven performance insights and robust enterprise security features. Concentrate on application development with a PostgreSQL database offered as a managed service. The zone-redundant high availability feature streamlines maintenance, patching, and updates for your convenience. Set up your database in mere minutes and adjust compute or storage resources independently as needed. Reduce expenses with extensive database monitoring and optimization resources that ensure efficiency. Leverage intelligent performance recommendations to maintain optimal application functionality. Seamlessly migrate your data using a fully managed PostgreSQL database that supports the latest versions and technologies. Moreover, enhance your projects with popular PostgreSQL extensions, including Cron, PostGIS, PLV8, and more, to unlock a wider range of functionalities.

RDS for MySQL, or Relational Database Service for MySQL, offers a robust and reliable cloud-based relational database solution designed for high performance. This service features an intuitive web interface for management, comprehensive data backup and recovery options, and extensive security management and monitoring capabilities. RDS for MySQL caters to various needs with its three available series: the basic stand-alone version, the dual high-availability version, and the Raft financial version. By default, it complies with standard database protocols and incorporates essential functionalities such as monitoring, automatic failover, data backup and recovery, and instance management. Additionally, it addresses customers’ advanced data management and storage needs through tools like slow SQL statistics and diagnosis, along with dependable services like cross-domain hot instance groups. It also enables disaster recovery within a single availability zone as well as across multiple zones, ensuring maximum data protection and availability. This comprehensive suite of features makes RDS for MySQL an optimal choice for businesses seeking efficient database management solutions.

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.

ScyllaDB serves as an ideal database solution for applications that demand high performance and minimal latency, catering specifically to data-intensive needs. It empowers teams to fully utilize the growing computing capabilities of modern infrastructures, effectively removing obstacles to scaling as data volumes expand. Distinct from other database systems, ScyllaDB stands out as a distributed NoSQL database that is completely compatible with both Apache Cassandra and Amazon DynamoDB, while incorporating significant architectural innovations that deliver outstanding user experiences at significantly reduced costs. Over 400 transformative companies, including Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung, rely on ScyllaDB to tackle their most challenging database requirements. Furthermore, ScyllaDB is offered in various formats, including a free open-source version, a fully-supported enterprise solution, and a fully managed database-as-a-service (DBaaS) available across multiple cloud platforms, ensuring flexibility for diverse user needs. This versatility makes it an attractive choice for organizations looking to optimize their database performance.

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.

Vitess is a database clustering solution designed for horizontally scaling MySQL, merging key MySQL capabilities with the expansive scalability typically associated with NoSQL databases. Its intrinsic sharding capabilities allow for database growth without necessitating additional sharding logic within your application. Additionally, Vitess proficiently rewrites queries that could negatively impact performance, while employing caching strategies to manage queries effectively and minimize the risk of duplicate queries overwhelming your database. Functions such as master failovers and backups are seamlessly managed by Vitess, which also incorporates a lock server to oversee and manage servers, allowing your application to operate without concern for the underlying database architecture. By reducing the memory overhead associated with MySQL connections, Vitess enables servers to accommodate thousands of simultaneous connections efficiently. While native sharding isn't a feature of MySQL, the need for sharding is often crucial as your database expands, making Vitess an invaluable tool for scaling operations. Consequently, using Vitess can enhance both performance and reliability as you navigate the complexities of growing database demands.

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.

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.

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.

Navicat for PostgreSQL is a user-friendly graphical interface designed for the development of PostgreSQL databases. It caters to a diverse audience, ranging from newcomers to the database world to experienced developers, enabling tasks from crafting basic SQL queries to building intricate database structures. Users can connect to both local and remote PostgreSQL servers, and it is compatible with cloud-based solutions such as Amazon Redshift, Amazon Aurora, Amazon RDS, Google Cloud, and Microsoft Azure, supporting all types of PostgreSQL database objects. Additionally, Navicat offers access to its Navicat Cloud service, allowing users to synchronize their connection settings and queries with the cloud, facilitating real-time access to queries and connections from virtually anywhere. This capability empowers users to enhance productivity by maximizing every moment of their workday. Furthermore, Navicat ensures secure communication by enabling SSH sessions through SSH Tunneling, which provides robust authentication and encryption between hosts; users can choose to authenticate using either a password or a public/private key pair, enhancing security measures even further.

Volt Active Data is a sophisticated data platform designed to streamline your entire technology stack, enhancing speed and cost-effectiveness, enabling applications and businesses to effortlessly scale in alignment with the extremely low latency service level agreements (SLAs) demanded by 5G, IoT, edge computing, and future innovations. It is tailored to complement your current big data assets, including NoSQL, Hadoop, Kubernetes, Kafka, and conventional databases or data warehouses, as it replaces the multiple layers usually necessary for making contextual decisions on streaming data with a singular, cohesive layer that facilitates ingestion to action in under 10 milliseconds. The digital landscape is inundated with data that is generated, stored, often overlooked, and ultimately discarded. "Active Data" refers to the information that requires immediate action for businesses to derive value from it. Numerous traditional and NoSQL data storage solutions are available for managing such data; however, there exists also a category of data that can be monetized, provided that swift action is taken to 'influence the moment' before the opportunity slips away. By harnessing the capabilities of Volt Active Data, organizations can ensure they are not merely collecting data but effectively leveraging it for real-time decision-making and strategic advantage.

PolarDB is engineered for mission-critical database applications that demand exceptional speed, extensive concurrency, and seamless scaling capabilities. It allows for a remarkable expansion of up to millions of queries per second and supports a database cluster with a capacity of 100 TB alongside 15 low latency read replicas. This platform boasts a performance that is six times quicker than traditional MySQL databases while providing the security, reliability, and availability comparable to well-established commercial databases at merely one-tenth of the cost. PolarDB represents a culmination of advanced database technology and best practices refined over the previous decade, which have been instrumental during massive events like the Alibaba Double 11 Global Shopping Festival. In a move to foster the developer community, we are pleased to introduce Always Free ApsaraDB for PolarDB across all three variations, available for users operating with no more than one instance (featuring 2 cores and 8GB of memory) and up to 50GB of storage. Act now to register and ensure you renew each month in order to retain this advantageous offer. Please be aware that the availability of regional resources may vary over time, so staying informed is essential.

dbForge data compare for PostgreSQL provides a GUI for table data comparisons and synchronization. It allows you to customize the detection of differences between two PostgreSQL databases, manage inconsistencies intelligently and deploy changes safely. This PostgreSQL tool generates PostgreSQL synchronization scripts that have multiple options for keeping your PostgreSQL database data in sync. You can always find the latest version of the product on the official Devart website.

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.

RDS for MySQL is a robust and scalable database service available in the cloud. You can set up your databases in mere minutes, allowing you to concentrate on developing applications without the burden of complex database operations. This service effectively eliminates the stress associated with database maintenance. With a few simple clicks, a MySQL database can be created in no time. RDS for MySQL streamlines both software and hardware deployments while managing your databases by automating tasks such as patch installations, performance monitoring, dynamic scaling, and failover processes when necessary. Thanks to optimized kernel thresholds, RDS for MySQL is highly efficient in processing large volumes of simultaneous requests, outperforming the traditional MySQL community edition. It employs implicit primary keys, ensuring that primary and standby replication occurs with minimal delay. Even during peak load periods, there is no risk of data loss. Additionally, as your needs for storage expand, you can effortlessly allocate 1 TB of storage for read replicas instantly without experiencing any downtime, making it an excellent choice for growing applications. This level of convenience and reliability makes RDS for MySQL a preferred option among developers and businesses alike.

Amazon DocumentDB, which is compatible with MongoDB, offers a rapid, scalable, highly reliable, and fully managed solution for document database needs, specifically catering to MongoDB workloads. This service simplifies the storage, querying, and indexing of JSON data, making it an ideal choice for developers. Built from the ground up as a non-relational database, Amazon DocumentDB ensures the performance, scalability, and availability crucial for handling mission-critical MongoDB workloads on a large scale. One of its key features is the separation of storage and compute, which allows each component to scale independently. Users can enhance read capacity to millions of requests per second in a matter of minutes by adding up to 15 low-latency read replicas, irrespective of data volume. Additionally, Amazon DocumentDB is engineered for 99.99% availability, maintaining six copies of data across three different AWS Availability Zones (AZs) to ensure redundancy and reliability. This architecture not only enhances data safety but also significantly improves the overall performance of applications that rely on it.

AWS Database Migration Service enables swift and secure database migrations to the AWS platform. During this process, the source database continues its operations, which effectively reduces downtime for applications that depend on it. This service is capable of transferring data to and from many of the most popular commercial and open-source databases available today. It facilitates both homogeneous migrations, like Oracle to Oracle, and heterogeneous migrations, such as transitioning from Oracle to Amazon Aurora. The service supports migrations from on-premises databases to Amazon Relational Database Service (Amazon RDS) or Amazon Elastic Compute Cloud (Amazon EC2), as well as transfers between EC2 and RDS, or even from one RDS instance to another. Additionally, it can handle data movement across various types of databases, including SQL, NoSQL, and text-based systems, ensuring versatility in data management. Furthermore, this capability allows businesses to optimize their database strategies while maintaining operational continuity.

An efficient web development low-code platform. It makes it easy to quickly and easily create complete web systems as well as Business Intelligence solutions. Scriptcase allows you to create and develop elegant, responsive, database-driven apps using your web browser. You can create powerful PHP applications quickly, easily, and securely at a low price with this powerful generator. You can connect to your database (MySQL or MariaDB, PostgreSQL SQLite, SQLite and SQL Azure, Amazon Aurora and Firebird), and create web applications based upon your tables quickly and safely. Data access and maintenance are simplified with Scriptcase. Scriptcase supports the following databases: XLS, CSV, and ACCESS spreadsheet import and transformation features. This import tool allows you to convert your spreadsheets into system programs.

SaaS-based Observability is designed to enhance oversight across cloud-native, on-premises, and hybrid technology environments. SolarWinds Observability SaaS provides an integrated and in-depth view of both cloud-native and on-premises applications, whether they are custom-built or commercially available, ensuring that service levels are maintained and user satisfaction is prioritized for essential business services. It facilitates comprehensive troubleshooting for both internal and commercial applications by offering unified code-level diagnostics through transaction tracing, code profiling, and exception tracking, coupled with insights from end-user experiences gathered via synthetic and real user monitoring. Additionally, the platform includes advanced database performance monitoring, which boosts system efficiency, enhances team productivity, and leads to infrastructure cost reductions, by delivering complete visibility into various open-source databases such as MySQL®, PostgreSQL®, MongoDB®, Azure® SQL, Amazon Aurora®, and Redis®. This holistic approach ensures that organizations can effectively manage their technology stacks, ultimately leading to improved operational outcomes.

A version of PostgreSQL enhanced with security, DBA, and Developer features as well as Oracle database compatibility. Kubernetes allows you to manage deployment, high availability, and automated failover. Postgres containers are lightweight and immutable, allowing you to deploy anywhere. Automate failover, switchovers, backups, recovery and rolling updates. You can move your images and operators to any cloud, so you don't have to be locked in. Our experts can help you overcome containerization and Kubernetes issues. Oracle compatibility allows you to leave your legacy database behind without having to start from scratch. Migrate client applications and databases faster with fewer problems. Tuning and boosting performance can improve the end-user's experience. Deployment on-premises or in the cloud is possible. In a world in which downtime can lead to revenue loss, High-Availability is essential for business continuity.

The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.

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.

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.