Alternatives to Oracle Real Application Clusters (RAC)

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.

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

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 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.

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.

Percona XtraDB Cluster is an open-source, high availability, MySQL clustering solution. It helps enterprises reduce unexpected downtime and data losses, lower costs, and improve performance and scalability in their database environments. PXC supports critical business applications in the most demanding public and private cloud environments. Percona XtraDB Cluster, (PXC), preserves, secures and protects data as well as revenue streams, by providing the highest availability for business-critical applications. PXC can help you reduce costs, eliminate license fees, and meet budget constraints. Our integrated tools allow you to optimize, maintain, monitor, and monitor your cluster. This allows you to get the most from your MySQL environment.

NEC’s EXPRESSCLUSTER software offers a robust and cost-effective way to ensure uninterrupted business operations through high availability and disaster recovery capabilities. It effectively mitigates risks of data loss and system failures by enabling seamless failover and data synchronization between servers, without the need for expensive shared storage solutions. With a strong presence in over 50 countries and a market-leading position in the Asia Pacific region for more than eight years, EXPRESSCLUSTER has been widely adopted by thousands of companies worldwide. The platform integrates with numerous databases, email systems, ERP platforms, virtualization environments, and cloud providers like AWS and Azure. EXPRESSCLUSTER continuously monitors system health, including hardware, network, and application status, to provide instant failover in case of disruptions. Customers report significant improvements in operational uptime, disaster resilience, and data protection, contributing to business efficiency. This software is backed by decades of experience and a deep understanding of enterprise IT needs. It delivers peace of mind to businesses that rely on critical systems to remain online at all times.

Oracle TimesTen In-Memory Database (TimesTen) enhances real-time application performance by rethinking the runtime data storage approach, resulting in reduced response times and increased throughput. By utilizing in-memory data management and refining data structures alongside access algorithms, TimesTen maximizes the efficiency of database operations, leading to significant improvements in both responsiveness and transaction throughput. The launch of TimesTen Scaleout introduces a shared-nothing architecture that builds on the existing in-memory capabilities, enabling seamless scaling across numerous hosts, accommodating vast data volumes of hundreds of terabytes, and processing hundreds of millions of transactions per second, all without requiring manual sharding or workload distribution. This innovative approach not only streamlines performance but also simplifies the overall database management experience for users.

HPE Serviceguard for Linux (SGLX) is a clustering solution focused on high availability (HA) and disaster recovery (DR) that aims to ensure maximum uptime for essential Linux workloads, whether they are deployed on-premises, in virtualized setups, or across hybrid and public cloud environments. It consistently tracks the performance of applications, services, databases, servers, networks, storage, and processes; when it identifies issues, it rapidly initiates automated failover, typically within four seconds, all while maintaining data integrity. SGLX accommodates both shared-storage and shared-nothing architectures through its Flex Storage add-on, which allows for the provision of highly available services like SAP HANA and NFS in situations where SAN is not an option. The E5 edition, which is solely focused on HA, offers zero-RPO application failover alongside comprehensive monitoring and a user-friendly workload-centric graphical interface. In contrast, the E7 edition that combines HA and DR features introduces capabilities such as multi-target replication, automated recovery with a simple button press, rehearsals for disaster recovery, and the flexibility for workload mobility between on-premises systems and the cloud, thereby enhancing operational resilience. This versatility makes SGLX a valuable asset for businesses aiming to maintain continuous service availability in the face of potential disruptions.

ClusterControl is a multi-cloud hybrid database ops orchestration platform that supports MongoDB and Elasticsearch as well as Redis, TimescaleDB and SQL Server on Linux. It also supports Galera Cluster, PostgreSQL and MySQL in cloud and on-premises environments. It can handle all aspects of the lifecycle, including deployment, failover, backup, and more. It allows organizations to implement the Sovereign DBaaS model with its full suite of databases and ops features. ClusterControl is the ideal solution for organizations who need to run large-scale, open source database operations reliably but don't want to be restricted by traditional DBaaS providers. It allows you to choose your environment, stability of licenses, and gives you DB access.

DxEnterprise is a versatile Smart Availability software that operates across multiple platforms, leveraging its patented technology to support Windows Server, Linux, and Docker environments. This software effectively manages various workloads at the instance level and extends its capabilities to Docker containers as well. DxEnterprise (DxE) is specifically tuned for handling native or containerized Microsoft SQL Server deployments across all platforms, making it a valuable tool for database administrators. Additionally, it excels in managing Oracle databases on Windows systems. Beyond its compatibility with Windows file shares and services, DxE offers support for a wide range of Docker containers on both Windows and Linux, including popular relational database management systems such as Oracle, MySQL, PostgreSQL, MariaDB, and MongoDB. Furthermore, it accommodates cloud-native SQL Server availability groups (AGs) within containers, ensuring compatibility with Kubernetes clusters and diverse infrastructure setups. DxE's seamless integration with Azure shared disks enhances high availability for clustered SQL Server instances in cloud environments, making it an ideal solution for businesses seeking reliability in their database operations. Its robust features position it as an essential asset for organizations aiming to maintain uninterrupted service and optimal performance.

StoneFly delivers robust, flexible, and reliable IT infrastructure solutions that ensure seamless availability. Paired with our innovative and patented StoneFusion operating system, we are equipped to handle your data-centric applications and processes anytime and anywhere. You can easily set up backup, replication, disaster recovery, and scale out storage options for block, file, and object formats in both private and public cloud environments. In addition, we provide comprehensive support for virtual and container hosting, among other services. StoneFly also specializes in cloud data migration for various data types, including emails, archives, documents, SharePoint, and both physical and virtual storage solutions. Our all-in-one backup and disaster recovery systems can operate as either a standalone appliance or a cloud-based solution. Furthermore, our hyperconverged options enable the restoration of physical machines as virtual machines directly on the StoneFly disaster recovery appliance, facilitating rapid recovery in critical situations. With an emphasis on efficiency and reliability, StoneFly is committed to meeting the evolving demands of modern IT infrastructure.

Develop high-speed, data-centric applications that can dynamically adapt to performance needs regardless of scale. Leverage the distinctive technology of Apache Geode, which integrates sophisticated methods for data replication, partitioning, and distributed processing. With a database-like consistency model, Apache Geode guarantees dependable transaction handling and employs a shared-nothing architecture that supports remarkably low latency, even under high concurrency. The platform allows for seamless data partitioning (sharding) and replication across nodes, enabling performance to grow in accordance with demand. Reliability is bolstered by maintaining redundant in-memory copies along with disk-based persistence. Additionally, it features rapid write-ahead logging (WAL) persistence, optimized for quick parallel recovery of individual nodes or the entire cluster, ensuring robust performance even during failures. This combination of features not only enhances efficiency but also significantly improves overall system resilience.

GaussDB (for MySQL) represents a cutting-edge, enterprise-level distributed database service that is compatible with MySQL. It features a distinct architecture that separates compute and storage, utilizing data functions virtualization (DFV) storage which can automatically scale to accommodate up to 128 TB per database instance. The risk of data loss is essentially eliminated, and it is capable of handling millions of QPS throughputs while supporting cross-AZ deployments. This service effectively merges the high performance and dependability of commercial databases with the adaptability of open-source solutions. By decoupling compute and storage and connecting them via RDMA, along with implementing a "log as database" approach, users can achieve performance levels that are seven times greater than those of traditional open-source databases. Additionally, to enhance read capacity and performance, you can easily integrate up to 15 read replicas for a primary node within just minutes. GaussDB (for MySQL) ensures full compatibility with MySQL, allowing for a smooth migration of existing MySQL databases without the need for extensive application reconstruction or sharding, making it an ideal choice for businesses looking to upgrade their database systems. Overall, this innovative service provides an efficient solution for modern database management needs.

Arctera InfoScale is a high-availability and disaster recovery solution that provides real-time resiliency for businesses across all applications and infrastructure layers. By offering automated recovery and immutable data checkpoints, InfoScale helps companies eliminate downtime and reduce recovery times by up to 98%. The platform ensures complete protection from cyber disruptions by encrypting production data, blocking unauthorized access, and preventing data exfiltration. It supports hybrid cloud deployments, enabling businesses to move workloads with agility and reduce the risk of service disruptions. InfoScale’s flexibility and scalability make it ideal for companies looking to optimize their disaster recovery strategies and ensure critical services are always available. With robust support for containerized applications and open-source platforms, InfoScale guarantees business continuity across diverse environments.

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.

Utilize Ignite as a conventional SQL database by employing JDBC drivers, ODBC drivers, or the dedicated SQL APIs that cater to Java, C#, C++, Python, and various other programming languages. Effortlessly perform operations such as joining, grouping, aggregating, and ordering your distributed data, whether it is stored in memory or on disk. By integrating Ignite as an in-memory cache or data grid across multiple external databases, you can enhance the performance of your existing applications by a factor of 100. Envision a cache that allows for SQL querying, transactional operations, and computational tasks. Develop contemporary applications capable of handling both transactional and analytical workloads by leveraging Ignite as a scalable database that exceeds the limits of available memory. Ignite smartly allocates memory for frequently accessed data and resorts to disk storage when dealing with less frequently accessed records. This allows for the execution of kilobyte-sized custom code across vast petabytes of data. Transform your Ignite database into a distributed supercomputer, optimized for rapid calculations, intricate analytics, and machine learning tasks, ensuring that your applications remain responsive and efficient even under heavy loads. Embrace the potential of Ignite to revolutionize your data processing capabilities and drive innovation within your projects.

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.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

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.

IBM Spectrum LSF Suites serves as a comprehensive platform for managing workloads and scheduling jobs within distributed high-performance computing (HPC) environments. Users can leverage Terraform-based automation for the seamless provisioning and configuration of resources tailored to IBM Spectrum LSF clusters on IBM Cloud. This integrated solution enhances overall user productivity and optimizes hardware utilization while effectively lowering system management expenses, making it ideal for mission-critical HPC settings. Featuring a heterogeneous and highly scalable architecture, it accommodates both traditional high-performance computing tasks and high-throughput workloads. Furthermore, it is well-suited for big data applications, cognitive processing, GPU-based machine learning, and containerized workloads. With its dynamic HPC cloud capabilities, IBM Spectrum LSF Suites allows organizations to strategically allocate cloud resources according to workload demands, supporting all leading cloud service providers. By implementing advanced workload management strategies, including policy-driven scheduling that features GPU management and dynamic hybrid cloud capabilities, businesses can expand their capacity as needed. This flexibility ensures that companies can adapt to changing computational requirements while maintaining efficiency.

Facilitate rapid transactions to minimize customer churn, no matter their location. Build web applications that boast low latency, enabling users to enjoy instantaneous interactions and real-time updates. Implement managed sharding to provide data isolation, alleviate noisy neighbor issues, and comply with geographical data residency standards. Offer ultra-low latency API services globally with well-placed data centers to ensure swift response times. Access your worldwide database through a single endpoint, with connections directed to the nearest replica. Seamlessly import your existing Postgres database clusters and expand them globally using Fortress. Let our proxy manage sharing within the application to fulfill your performance needs and geographical data residency requirements. Developers rely on Fortress to cut down network latency for users around the world, adhere to data sovereignty laws, all while benefiting from a platform that effectively handles horizontal scalability. This approach not only enhances user satisfaction but also streamlines operational efficiency across diverse markets.

HarperDB is an innovative platform that integrates database management, caching, application development, and streaming capabilities into a cohesive system. This allows businesses to efficiently implement global-scale back-end services with significantly reduced effort, enhanced performance, and cost savings compared to traditional methods. Users can deploy custom applications along with pre-existing add-ons, ensuring a high-throughput and ultra-low latency environment for their data needs. Its exceptionally fast distributed database offers vastly superior throughput rates than commonly used NoSQL solutions while maintaining unlimited horizontal scalability. Additionally, HarperDB supports real-time pub/sub communication and data processing through protocols like MQTT, WebSocket, and HTTP. This means organizations can leverage powerful data-in-motion functionalities without the necessity of adding extra services, such as Kafka, to their architecture. By prioritizing features that drive business growth, companies can avoid the complexities of managing intricate infrastructures. While you can’t alter the speed of light, you can certainly minimize the distance between your users and their data, enhancing overall efficiency and responsiveness. In doing so, HarperDB empowers businesses to focus on innovation and progress rather than getting bogged down by technical challenges.

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.

DRBD® (Distributed Replicated Block Device) is an open source, software-centric solution for block storage replication on Linux, engineered to provide high-performance and high-availability (HA) data services by synchronously or asynchronously mirroring local block devices between nodes in real-time. As a virtual block-device driver deeply integrated into the Linux kernel, DRBD guarantees optimal local read performance while facilitating efficient write-through replication to peer devices. The user-space tools, including drbdadm, drbdsetup, and drbdmeta, support declarative configuration, metadata management, and overall administration across different installations. Initially designed to support two-node HA clusters, DRBD 9.x has evolved to accommodate multi-node replication and seamlessly integrate into software-defined storage (SDS) systems like LINSTOR, which enhances its applicability in cloud-native frameworks. This evolution reflects the growing demand for robust data management solutions in increasingly complex environments.

In today's business landscape, organizations frequently manage a diverse array of workloads, each with varying degrees of critical importance. The most forward-thinking companies are strategically sizing and architecting their IT infrastructure to align with their applications' availability needs, ensuring they only incur costs for what they actually require. For applications that must operate around the clock, fault-tolerant systems are essential, while high availability systems are sufficient for those that can tolerate up to four hours of downtime. everRun streamlines the adaptation to fluctuating availability demands. This flexible, cost-effective, and always accessible software solution, when paired with standard x86 systems, efficiently safeguards your virtualized data and workloads. With everRun, organizations can swiftly and economically achieve the continuous availability levels necessary to meet their operational requirements, adapting seamlessly to their evolving needs in an ever-changing environment.

IBM PowerHA SystemMirror is an advanced high availability solution designed to keep critical applications running smoothly by minimizing downtime through intelligent failure detection, automatic failover, and disaster recovery capabilities. This integrated technology supports both IBM AIX and IBM i platforms and offers flexible deployment options including multisite configurations for robust disaster recovery assurance. Users benefit from a simplified management interface that centralizes cluster operations and leverages smart assists to streamline setup and maintenance. PowerHA supports host-based replication techniques such as geographic mirroring and GLVM, enabling failover to private or public cloud environments. The solution tightly integrates IBM SAN storage systems, including DS8000 and Flash Systems, ensuring data integrity and performance. Licensing is based on processor cores with a one-time fee plus a first-year maintenance package, providing cost efficiency. Its highly autonomous design reduces administrative overhead, while continuous monitoring tools keep system health and performance transparent. IBM’s investment in PowerHA reflects its commitment to delivering resilient and scalable IT infrastructure solutions.

IBM Z System Automation is an application built on NetView that serves as a centralized hub for managing a comprehensive array of system management tasks. Its significance lies in delivering advanced automation solutions tailored for enterprise needs. By efficiently monitoring, controlling, and automating a wide variety of system components, it encompasses both hardware and software resources throughout the organization. This policy-driven, self-healing, and high-availability solution is specifically aimed at enhancing the performance and uptime of vital systems and applications. Moreover, it minimizes the workload associated with administrative and operational tasks, lowers the need for customization and programming, and streamlines the time and costs required for automation implementation, particularly in environments using Parallel Sysplex and policy-driven automation. Furthermore, the seamless integration with Geographically Dispersed Parallel Sysplex (GDPS) equips IBM Z System Automation with advanced disaster recovery functionalities, ensuring robust protections for IBM Z systems against potential failures. Overall, its multifaceted capabilities make it an indispensable tool for modern enterprises reliant on high availability and efficiency.

Red Hat Advanced Cluster Management for Kubernetes allows users to oversee clusters and applications through a centralized interface, complete with integrated security policies. By enhancing the capabilities of Red Hat OpenShift, it facilitates the deployment of applications, the management of multiple clusters, and the implementation of policies across numerous clusters at scale. This solution guarantees compliance, tracks usage, and maintains uniformity across deployments. Included with Red Hat OpenShift Platform Plus, it provides an extensive array of powerful tools designed to secure, protect, and manage applications effectively. Users can operate from any environment where Red Hat OpenShift is available and can manage any Kubernetes cluster within their ecosystem. The self-service provisioning feature accelerates application development pipelines, enabling swift deployment of both legacy and cloud-native applications across various distributed clusters. Additionally, self-service cluster deployment empowers IT departments by automating the application delivery process, allowing them to focus on higher-level strategic initiatives. As a result, organizations can achieve greater efficiency and agility in their IT operations.

NGINX Plus serves as a software load balancer, reverse proxy, web server, and content cache, equipped with the enterprise-level features and support that users anticipate. This solution is favored by modern application infrastructure and development teams for its efficiency. Beyond being recognized as one of the fastest web servers, NGINX Plus enhances the beloved attributes of NGINX Open Source by incorporating enterprise-grade functionalities such as high availability, active health checks, DNS service discovery, session persistence, and a RESTful API framework. It stands out as a cloud-native, user-friendly reverse proxy, load balancer, and API gateway. Whether your goal is to enhance monitoring capabilities, bolster security measures, or manage Kubernetes container orchestration, NGINX Plus ensures you receive the exceptional support synonymous with the NGINX brand. Additionally, it offers scalable and dependable high availability, equipped with monitoring tools to assist in debugging and diagnosing intricate application architectures. With active health checks, NGINX Plus continually monitors the status of upstream servers, allowing teams to anticipate and address potential issues before they escalate.

Failover Clustering in Windows Server (and Azure Local) allows a collection of independent servers to collaborate, enhancing both availability and scalability for clustered roles, which were previously referred to as clustered applications and services. These interconnected nodes utilize a combination of hardware and software solutions, ensuring that if one node encounters a failure, another node seamlessly takes over its responsibilities through an automated failover mechanism. Continuous monitoring of clustered roles ensures that if they cease to function properly, they can be restarted or migrated to uphold uninterrupted service. Additionally, this feature includes support for Cluster Shared Volumes (CSVs), which create a cohesive, distributed namespace and enable reliable shared storage access across all nodes, thereby minimizing potential service interruptions. Common applications of Failover Clustering encompass high‑availability file shares, SQL Server instances, and Hyper‑V virtual machines. This functionality is available on Windows Server versions 2016, 2019, 2022, and 2025, as well as within Azure Local environments, making it a versatile choice for organizations looking to enhance their system resilience. By leveraging Failover Clustering, organizations can ensure their critical applications remain available even in the event of hardware failures.

FlashGrid offers innovative software solutions aimed at boosting both the reliability and efficiency of critical Oracle databases across a range of cloud environments, such as AWS, Azure, and Google Cloud. By implementing active-active clustering through Oracle Real Application Clusters (RAC), FlashGrid guarantees an impressive 99.999% uptime Service Level Agreement (SLA), significantly reducing the risk of business interruptions that could arise from database outages. Their sophisticated architecture is designed to support multi-availability zone deployments, providing robust protection against potential data center failures and regional disasters. Additionally, FlashGrid's Cloud Area Network software enables the creation of high-speed overlay networks, complete with advanced features for high availability and performance management. Their Storage Fabric software plays a crucial role by converting cloud storage into shared disks that can be accessed by all nodes within a cluster. Furthermore, the FlashGrid Read-Local technology efficiently decreases storage network overhead by allowing read operations to be served directly from locally attached disks, ultimately leading to improved overall system performance. This comprehensive approach positions FlashGrid as a vital player in ensuring seamless database operations in the cloud.

HAProxy Enterprise, the industry's most trusted software load balancer, is HAProxy Enterprise. It powers modern application delivery at all scales and in any environment. It provides the highest performance, observability, and security. Load balance can be determined by round robin or least connections, URI, IP addresses, and other hashing methods. Advanced decisions can be made based on any TCP/IP information, or HTTP attribute. Full logical operator support is available. Send requests to specific application groups based on URL, file extension, client IP, client address, health status of backends and number of active connections. Lua scripts can be used to extend and customize HAProxy. TCP/IP information and any property of the HTTP request (cookies headers, URIs, etc.) can be used to maintain users' sessions.

SIOS LifeKeeper for Windows is an all-encompassing solution designed for high availability and disaster recovery, seamlessly combining features like failover clustering, continuous monitoring of applications, data replication, and adaptable recovery policies to achieve an impressive 99.99% uptime for various Microsoft Windows Server environments, including physical, virtual, cloud, hybrid-cloud, and multicloud setups. System administrators have the flexibility to construct SAN-based or SANless clusters utilizing multiple storage options, such as direct-attached SCSI, iSCSI, Fibre Channel, or local disks, while also selecting between local or remote standby servers that cater to both high availability and disaster recovery requirements. With its real-time block-level replication capabilities provided through the integrated DataKeeper, LifeKeeper offers WAN-optimized performance, which features nine distinct levels of compression, bandwidth throttling, and built-in WAN acceleration, guaranteeing effective data replication across different cloud regions or over WAN networks without relying on additional hardware accelerators. This robust solution not only enhances operational resilience but also simplifies the management of complex IT infrastructures. Ultimately, SIOS LifeKeeper stands out as a vital tool for organizations aiming to maintain seamless service continuity and safeguard their valuable data assets.

The Heimdall Proxy serves as a vital data access layer for developers, database administrators, and architects alike, whether in on-premise setups or cloud environments. By utilizing our proxy, users experience a solution that enhances speed, scalability, and security for existing SQL databases. We provide comprehensive SQL visibility and performance management across various database vendors, and our proxy can be seamlessly implemented as a transparent sidecar process. This distributed deployment approach maximizes performance and ensures predictive scaling capabilities. To establish a master writer and read replica architecture, certain application modifications are necessary, and our proxy expertly directs queries to the correct database instance. With our replication lag detection feature, we can assure data consistency across the board. Furthermore, the connection efficiency is significantly boosted, achieving a reduction of front-side to back-side connections by as much as a 1000:1 ratio. Users can also set limits on connections based on individual users or specific databases, promoting fairness and safeguarding the database from overload. Our solution also goes a step further by incorporating Active Directory integration for robust authentication and authorization. This not only enhances security but also simplifies user management within the system.

Our Libelle BusinessShadow solution offers a robust approach to disaster recovery and high availability by enabling the mirroring of databases and application systems with a controlled time delay. This innovative solution safeguards your organization against not only hardware failures and application glitches but also elemental disasters, sabotage, and accidental data loss. Central to this system is our patented time funnel, which efficiently holds change logs prior to their transfer to the standby system. This design allows for a seamless and rapid transition to the standby setup during errors or maintenance tasks, ensuring minimal disruption. By leveraging the time funnel, you can swiftly revert to an error-free state without the cumbersome process of restoring from backups. Notably, your data remains consistently up to date, as it is temporarily preserved in the time funnel rather than relying on outdated backup copies. This solution not only enhances resilience but also streamlines operations, providing peace of mind in the face of potential disruptions.

FairCom DB is ideal to handle large-scale, mission critical core-business applications that demand performance, reliability, and scalability that cannot easily be achieved with other databases. FairCom DB provides predictable high-velocity transactions with big data analytics and massively parallel big-data processing. It provides developers with NoSQL APIs that allow them to process binary data at machine speed. ANSI SQL allows for simple queries and analysis over the same binary data. Verizon is one of the companies that has taken advantage of FairCom DB's flexibility. Verizon recently selected FairCom DB to be its in-memory database for the Verizon Intelligent Network Control Platform Transaction Server Migrating. FairCom DB, an advanced database engine, gives you a Continuum of Control that allows you to achieve unparalleled performance at a low total cost of ownership (TCO). FairCom DB doesn't conform to you. FairCom DB conforms. FairCom DB doesn't force you to conform to the database's limitations.

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.

Oracle Coherence stands out as the premier in-memory data grid solution, empowering organizations to effectively scale their critical applications by offering rapid access to often-used data. With the growth of data volumes and the rising expectations of customers—propelled by the internet of things, social media, mobile technology, cloud computing, and the prevalence of always-connected devices—there is an escalating demand for real-time data management, relief for overloaded shared data services, and assurance of availability. The recent update, version 14.1.1, introduces a unique scalable messaging feature, enables polyglot programming on GraalVM at the grid level, incorporates distributed tracing within the grid, and ensures certification with JDK 11. Coherence manages data by storing each item across several members, including one primary and multiple backup copies, and it does not deem any modification complete until the backups are securely created. This design guarantees that your data grid remains resilient to failures, whether they affect a single JVM or an entire data center, thereby enhancing reliability and performance. Ultimately, Oracle Coherence facilitates a robust framework for organizations to thrive in a data-driven world.

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.

Oracle NoSQL Database is specifically engineered to manage applications that demand high data throughput and quick response times, along with adaptable data structures. It accommodates various data types including JSON, tables, and key-value formats, and functions in both on-premises installations and cloud environments. The database is designed to scale dynamically in response to fluctuating workloads, offering distributed storage across multiple shards to guarantee both high availability and swift failover capabilities. With support for programming languages such as Python, Node.js, Java, C, and C#, as well as REST API drivers, it simplifies the development process for applications. Furthermore, it seamlessly integrates with other Oracle products like IoT, Golden Gate, and Fusion Middleware, enhancing its utility. The Oracle NoSQL Database Cloud Service is a completely managed solution, allowing developers to concentrate on creating applications without the burden of managing backend infrastructure. This service eliminates the complexities associated with infrastructure management, enabling teams to innovate and deploy solutions more efficiently.

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.

Apache DataFusion is a versatile and efficient query engine crafted in Rust, leveraging Apache Arrow for its in-memory data representation. It caters to developers engaged in creating data-focused systems, including databases, data frames, machine learning models, and real-time streaming applications. With its SQL and DataFrame APIs, DataFusion features a vectorized, multi-threaded execution engine that processes data streams efficiently and supports various partitioned data sources. It is compatible with several native formats such as CSV, Parquet, JSON, and Avro, and facilitates smooth integration with popular object storage solutions like AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture includes a robust query planner and an advanced optimizer that boasts capabilities such as expression coercion, simplification, and optimizations that consider distribution and sorting, along with automatic reordering of joins. Furthermore, DataFusion allows for extensive customization, enabling developers to incorporate user-defined scalar, aggregate, and window functions along with custom data sources and query languages, making it a powerful tool for diverse data processing needs. This adaptability ensures that developers can tailor the engine to fit their unique use cases effectively.

BigchainDB functions as a database infused with blockchain features, offering high throughput, low latency, advanced query capabilities, decentralized governance, permanent data storage, and integrated asset management. This platform enables both developers and businesses to create blockchain proof-of-concepts, applications, and platforms, catering to a diverse array of industries and practical applications. Instead of enhancing existing blockchain technology, BigchainDB uniquely merges a large-scale distributed database with blockchain traits—such as decentralized governance, data immutability, and digital asset transfer. Its architecture eliminates any single point of control or failure, utilizing a federation of voting nodes to establish a peer-to-peer network. Users can execute any MongoDB query to sift through the entirety of stored transactions, assets, metadata, and blocks, leveraging the robust capabilities of MongoDB as its backbone. This innovative approach not only streamlines data management but also enriches the user experience by ensuring reliability and efficiency in digital asset transactions.

TigerData is an advanced, cloud-optimized PostgreSQL solution designed for rapid analytics, time-series data handling, vector processing, and intelligent, agent-based applications. It maintains complete SQL compatibility while achieving remarkable speed and scalability; this platform operates millions of databases, facilitates real-time data streaming across various devices and applications, and allows organizations to merge their transactional and analytical processes under one unified system. By incorporating enhancements and execution improvements, TigerData significantly boosts PostgreSQL’s capabilities, resulting in low-latency query performance, high insert concurrency, and support for hybrid operational and analytical scenarios, as well as vector embeddings for AI-centric applications. Developers benefit from a straightforward and dependable experience by using familiar PostgreSQL tools, connectors, and syntax, thereby unlocking performance that rivals specialized time-series or vector processing engines. The versatility of TigerData makes it an excellent choice for organizations looking to innovate and streamline their data operations.