JMP Statistical Software Integrations

SciCord Solution features are designed to help your company transition quickly into the digital age. SciCord ELN/LIMS can be used to ensure compliance in both manufacturing and laboratory settings. Validated formulas can improve compliance and eliminate errors in calculation. To ensure compliance with SOPs, create lists. Automatic entry verification to flag possible Out-Of-Specification scenarios. Restrictions to prevent the use of expired solutions and ensure that equipment is only used by trained personnel. Intelligent scans alert reviewers to potential issues such as unstable balance, precision, uncalibrated equipment, and unvalidated process. Fully compliant with CFR 21 Part11, including electronic signatures. Custom parsing of attached files extracts data and records it in SciCord experiments for additional calculations and statistical analysis.

Hive is home to some the most popular Web3 apps worldwide, including PeakD, Splinterlands and HiveBlog. To securely store your cryptocurrency and interact with Web3 apps, wallets are essential. Hive offers a variety of community-owned and open source wallets for Windows, macOS Linux, iOS, Android, Android, and Web. Contributors make it possible to develop Hive and its ecosystem. To encourage critical work, such Core Development, a DAO-like structure is used: the Decentralized Hive Fund, (DHF), which is being leveraged for intelligently funding important work.

Effortlessly develop personalized database applications in formats that align perfectly with your business requirements, though compatibility is limited to PC users. Access simplifies the creation of business applications, whether you choose to start with templates or build from the ground up. With its user-friendly and visually appealing design tools, Access enables you to craft attractive and highly functional applications quickly. You can customize your applications to suit both your business goals and customer needs, with the flexibility to make adjustments as those needs evolve. By leveraging Visual Basic for Applications, you can automate various business processes, enhancing the functionality of forms and reports. The Access connector library allows for seamless integration of data between Access and other business applications, enabling you to produce comprehensive visuals and insights within the familiar Access environment. Additionally, you can store your data securely in SQL Server and Microsoft Azure SQL, ensuring that your applications are reliable, scalable, secure, and manageable over the long term, thus providing a robust solution for your database needs. This capability not only streamlines operations but also helps your business adapt to changing market dynamics.

Excel adapts to your habits, streamlining your data management to enhance efficiency. You can effortlessly generate spreadsheets using either templates or your own designs while applying advanced formulas for calculations. Additionally, the updated charts and graphs allow for engaging presentations of your data, complemented by formatting options, sparklines, and tables that facilitate deeper insights. With just a click, you can easily create forecasts to anticipate future trends. Collaborating with others is simple, ensuring you always work from the most current version of your workbook for real-time updates that expedite productivity. With Office 365, you can access your Excel files seamlessly across mobile, desktop, and web platforms. A remarkable new feature enables you to input data into Excel directly from a photograph; simply capture an image of a printed data table using your Android or iPhone, and the app will convert it into a fully editable table. This innovative image recognition capability removes the tedious task of manual data entry from hardcopy sources, making data entry faster and more convenient. Furthermore, this feature enhances your ability to leverage existing paper documents effectively within your digital workflows.

MATLAB® offers a desktop environment specifically optimized for iterative design and analysis, paired with a programming language that allows for straightforward expression of matrix and array mathematics. It features the Live Editor, which enables users to create scripts that merge code, output, and formatted text within an interactive notebook. The toolboxes provided by MATLAB are meticulously developed, thoroughly tested, and comprehensively documented. Additionally, MATLAB applications allow users to visualize how various algorithms interact with their data. You can refine your results through repeated iterations and then easily generate a MATLAB program to replicate or automate your processes. The platform also allows for scaling analyses across clusters, GPUs, and cloud environments with minimal modifications to your existing code. There is no need to overhaul your programming practices or master complex big data techniques. You can automatically convert MATLAB algorithms into C/C++, HDL, and CUDA code, enabling execution on embedded processors or FPGA/ASIC systems. Furthermore, when used in conjunction with Simulink, MATLAB enhances the support for Model-Based Design methodologies, making it a versatile tool for engineers and researchers alike. This adaptability makes MATLAB an essential resource for tackling a wide range of computational challenges.

IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.

SQLite is a C-language library that offers a compact, efficient, and reliable SQL database engine that is fully featured. Recognized as the most popular database engine globally, SQLite is embedded in every mobile device and the majority of computers, while also being included in a myriad of applications that are used daily by individuals. Operating as an in-process library, SQLite provides a self-sufficient, serverless, and zero-configuration transactional SQL database engine. The source code of SQLite resides in the public domain, making it available for anyone to use freely, whether for commercial or personal purposes. With its extensive deployment and integration into numerous applications, SQLite stands out as an invaluable tool for developers in various high-profile projects. Its versatility and ease of use contribute to its unmatched popularity in the database landscape.

Collaborate seamlessly on online spreadsheets from any device and in real-time, making teamwork more efficient. Create a definitive reference point for your data with user-friendly sharing and simultaneous editing capabilities. Enhance your workflow by utilizing comments to assign tasks and keep discussions active. Features like Smart Fill and formula recommendations allow for quicker analysis while minimizing mistakes. Quickly gain insights by posing questions about your data using straightforward language. Sheets integrates smoothly with other beloved Google applications, streamlining your tasks. Effortlessly analyze data collected through Google Forms in Sheets, or incorporate your spreadsheet charts into Google Slides and Docs. Additionally, you can respond to comments directly within Gmail and easily showcase your spreadsheets during Google Meet presentations, making collaboration even more effective. This interconnectedness not only saves time but also enhances productivity across all your projects.

MySQL stands out as the most widely used open source database globally. Thanks to its established track record in performance, dependability, and user-friendliness, it has emerged as the preferred database for web applications, powering notable platforms such as Facebook, Twitter, and YouTube, alongside the top five websites. Furthermore, MySQL is also highly favored as an embedded database solution, being distributed by numerous independent software vendors and original equipment manufacturers. Its versatility and robust features contribute to its widespread adoption across various industries.

Microsoft SQL Server 2019 incorporates both intelligence and security, providing users with added features at no additional cost while ensuring top-tier performance and adaptability for on-premises requirements. You can seamlessly transition to the cloud, taking full advantage of its efficiency and agility without the need to alter your existing code. By leveraging Azure, you can accelerate insight generation and predictive analytics. Development is flexible, allowing you to utilize your preferred technologies, including open-source options, supported by Microsoft's advancements. The platform enables easy data integration into your applications and offers a comprehensive suite of cognitive services that facilitate the creation of human-like intelligence, regardless of data volume. The integration of AI is intrinsic to the data platform, allowing for quicker insight extraction from both on-premises and cloud-stored data. By combining your unique enterprise data with global data, you can foster an organization that is driven by intelligence. The dynamic data platform provides a consistent user experience across various environments, expediting the time it takes to bring innovations to market; this allows you to develop your applications and deploy them in any environment you choose, enhancing overall operational efficiency.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

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.

Our namesake product, Minitab Statistical Software, leads the way in data analysis with the power to visualize, analyze and harness your data to gain insights and solve your toughest challenges. Access trusted, proven and modern analytics combined with dynamic visualizations to empower you and your decisions. The latest version of Minitab Statistical Software includes access to Minitab on the cloud so you can analyze from anywhere, and Graph Builder, our new interactive tool to instantly create multiple graph options at once. Minitab offers modules for Predictive Analytics and Healthcare to boost your analytics even further. Available in 8 languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. For 50 years, Minitab has helped thousands of companies and institutions spot trends, solve problems, and discover valuable insights in their data through our comprehensive, best-in-class suite of data analysis and process improvement tools.

Effortlessly link your product to hotel data in just a few minutes by securely accessing and updating various hotel systems through a robust and well-documented JSON API. With the ability to connect your application to our Test Hotel almost instantly, you can start integrating with real hotels within days rather than weeks. Utilizing a single, easy-to-navigate universal REST API, Impala interfaces with numerous hotel systems, ensuring that you have a streamlined connection. Our platform is designed with bank-level security, complies fully with GDPR regulations, and is hosted across multiple geographic locations for enhanced reliability. Impala is poised to be the ultimate integration solution for property management systems, relieving you of the need to manage multiple connections. As we continuously expand our network of hotel systems, your business can reach an increasingly diverse array of hotels each month. Recognizing the importance of comprehensive data in modern hotel technology, Impala ensures seamless two-way data exchange, whether you need to access guest details, process a new transaction, or get updates on rate adjustments. With Impala, you can enjoy peace of mind knowing that all your hotel data needs are met efficiently and securely.

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.

Transform and enhance your transaction-driven applications both on-premise and in the cloud by using SAP Adaptive Server Enterprise (SAP ASE). This cutting-edge SQL database server utilizes a relational management framework designed to satisfy the increasing needs for performance, reliability, and efficiency across various sectors. Streamline your operations and cut costs with features like workload analyzer and workload profiler that ensure built-in high availability, effective disaster recovery, and optimal resource management. Expand your capacity for transactions, data, and users while boosting performance with advanced technology solutions, including MemScale and XOLTP. By minimizing overhead on production databases, Q-Free employees can concentrate more on driving innovation and delivering value. You can deploy SAP ASE either on-premise or through infrastructure as a service (IaaS), ensuring high performance and availability essential for executing mission-critical transactions. Additionally, this versatility allows businesses to adapt to evolving market demands swiftly.

Azure SQL Database, a member of the Azure SQL suite, is a sophisticated and adaptable relational database service designed specifically for cloud environments. It is continuously updated, ensuring you benefit from the latest advancements, including AI-driven features that enhance both performance and reliability. With serverless computing and Hyperscale storage options, resources can effortlessly adjust according to your needs, allowing you to concentrate on creating innovative applications without the stress of managing storage or resources. This fully managed SQL database simplifies the challenges of ensuring high availability, performing tuning, handling backups, and executing other essential database management tasks. You can expedite your application development on the unique cloud platform that offers evergreen SQL, utilizing up-to-date SQL Server features while remaining free from concerns about updates, upgrades, or the end of support. Customize your modern app development experience with both provisioned and serverless compute choices, ensuring flexibility and efficiency tailored to your specific needs. This way, you can unleash your creativity while relying on a robust foundation.

R is a comprehensive environment and programming language tailored for statistical analysis and graphical representation. As a part of the GNU project, it shares similarities with the S language, which was originally designed by John Chambers and his team at Bell Laboratories, now known as Lucent Technologies. Essentially, R serves as an alternative implementation of S, and while there are notable distinctions between the two, a significant amount of S code can be executed in R without modification. This versatile language offers a broad spectrum of statistical methods, including both linear and nonlinear modeling, classical statistical tests, time-series analytics, classification, and clustering, among others, and it boasts a high level of extensibility. The S language is frequently utilized in research focused on statistical methodologies, and R presents an Open Source avenue for engaging in this field. Moreover, one of R's key advantages lies in its capability to generate high-quality publication-ready graphics, facilitating the inclusion of mathematical symbols and formulas as needed, which enhances its usability for researchers and analysts alike. Ultimately, R continues to be a powerful tool for those seeking to explore and visualize data effectively.

Firebird is a relational database that incorporates numerous features compliant with ANSI SQL standards and is compatible with Linux, Windows, and multiple Unix systems. It boasts remarkable concurrency, impressive performance, and robust support for stored procedures and triggers, making it a popular choice for various applications. Since its inception in 1981, Firebird has been utilized in production environments under different names. The Firebird Project operates independently, consisting of C and C++ developers, technical advisors, and supporters who contribute to the ongoing development of this multi-platform relational database management system, which is based on the source code released by Inprise Corp (now Borland Software Corp) on July 25, 2000. Moreover, the Firebird Project provides a wealth of documentation for users, developers, and administrators, ranging from beginner Quick Start guides to in-depth expert articles that explore numerous aspects of the Firebird system. This extensive resource ensures that anyone working with Firebird can find the information they need to optimize their experience.

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.

SAS® Viya® offers a robust and scalable analytics platform that is both efficient and easy to implement, allowing organizations to address a variety of business challenges. The insights generated automatically help in pinpointing the most frequently used variables across all models, highlighting key variables selected along with evaluation outcomes for each model. With the integration of natural language generation, project summaries are produced in straightforward language, which simplifies the interpretation of reports for users. Moreover, members of the analytics team can enhance the insights report with project notes, promoting better communication and teamwork. SAS further enables the integration of open source code within analyses, allowing users to utilize open source algorithms effortlessly in its platform. This flexibility encourages collaboration throughout your organization, as users are free to program in their preferred language. Additionally, you can leverage SAS Deep Learning with Python (DLPy), an open-source package available on GitHub, to expand your analytical capabilities even further. By using these tools, businesses can significantly enhance their data-driven decision-making processes.

Access, analyze, and manipulate data to uncover emerging trends and patterns effectively. SAS Visual Data Science provides a unified, self-service platform that enables the creation and sharing of intelligent visualizations alongside interactive reports. Leveraging machine learning, text analytics, and econometric techniques enhances forecasting and optimization capabilities, while also allowing for the management and registration of both SAS and open-source models, whether within projects or as independent entities. Utilize this tool to visualize and identify pertinent relationships within your data. Generate and disseminate interactive reports and dashboards, employing self-service analytics to promptly evaluate potential outcomes for more informed, data-driven decisions. Dive into data exploration and construct or modify predictive analytical models using this solution integrated with SAS® Viya®. By fostering collaboration among data scientists, statisticians, and analysts, teams can iteratively refine models tailored to specific segments or groups, thereby empowering decisions rooted in precise insights. This collaborative approach not only enhances model accuracy but also accelerates the decision-making process significantly.

Introducing a user-friendly yet robust suite designed for accessing, manipulating, analyzing, and showcasing data, now offered for both cloud-based and on-premises solutions. Why struggle with disparate software tools from various providers? A unified collection that features three of our most sought-after products—Base SAS, SAS/STAT, and SAS/GRAPH—minimizes expenses related to licensing, maintenance, training, and support, all while ensuring uniform access to information throughout your organization. Our SAS statistical methods are regularly updated to incorporate the latest developments in statistical science. Additionally, our technical support team consists of seasoned statisticians with master's and doctorate degrees, providing a level of expertise and service that is rare among software vendors. With over forty years of experience in crafting statistical analysis tools, SAS continues to be the trusted choice for organizations globally seeking reliable solutions for their data inquiries. This commitment to excellence ensures that you are well-equipped to make informed decisions based on accurate data insights.

JSON, which stands for JavaScript Object Notation, serves as a compact format for data exchange. Its simplicity makes it accessible for human comprehension and straightforward for machines to interpret and create. Derived from a portion of the JavaScript Programming Language Standard ECMA-262 3rd Edition from December 1999, JSON is a text-based format that remains entirely independent of any specific programming language while employing familiar conventions found in C-family languages such as C, C++, C#, Java, JavaScript, Perl, and Python. This versatility positions JSON as an exceptional choice for data interchange. The structure of JSON is founded on two primary components: 1. A set of name/value pairs, which can be represented in different programming languages as objects, records, structs, dictionaries, hash tables, keyed lists, or associative arrays. 2. An ordered sequence of values, typically manifested in most languages as arrays, vectors, lists, or sequences. These fundamental structures are universally recognized, and nearly all contemporary programming languages incorporate them in some capacity, further enhancing the utility and appeal of JSON as a data format.

An all-encompassing API Lifecycle Management solution enables agile API development while facilitating easy monitoring of key performance indicators. It allows for true hybrid API development, whether in the cloud or on-premises, showcasing a modern and flexible design that incorporates the latest security measures. Rapid innovation can significantly enhance operational efficiency, ultimately boosting profitability. It is crucial to maintain the most current security policies to safeguard your data. By utilizing a unified integration tool, you can achieve seamless portability between cloud and on-premises deployments. Additionally, manage your cloud services effectively with specialized cloud tools that simplify administrative tasks such as backup, restoration, scaling up or down, and more. Full administrative control of the SOA server is accessible via a web-based console, while SSH access to virtual machines ensures secure and efficient management. This comprehensive approach to API management not only optimizes performance but also enhances the overall user experience.

Field Automated Communication Systems (FACS) is a cloud-driven software solution designed for construction management, catering to field workers, contractors, project owners, and managers alike. This platform simplifies the management of business operations and daily tasks for its users. Among its various features are schedule monitoring, mobile reporting from the field, contract management, document organization, and cost oversight. Additionally, FACS includes a project inspector tool that allows users to monitor ongoing work, document inspection outcomes, and evaluate resource distribution effectively. Overall, FACS streamlines the construction management process, enhancing collaboration and efficiency in projects.

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.

Concentrate on your primary application and accelerate your market entry. OAuth.io takes care of your identity infrastructure, ongoing maintenance, and security concerns, freeing your team from these challenges. While managing identity can be complex, OAuth.io simplifies the process significantly. You can select your preferred identity providers, incorporate custom attributes, personalize your login page or utilize our widget, and seamlessly integrate with your application—identity management completed in just a few minutes. Our user-friendly dashboard allows you to oversee your users effortlessly—search for and manage user accounts, reset passwords, implement two-factor authentication, and set up memberships and permissions with OAuth.io's intuitive User Management system. Experience comprehensive, highly secure user authentication options, whether using passwords or tokens. OAuth.io accommodates everything from multi-tenant setups to intricate permission structures, ensuring robust user authorization modeling. Additionally, enhance your user authentication experience by implementing a second factor with our widely used integrations. This enables you to maintain a high level of security while keeping user management simple and efficient.

PostgreSQL stands out as a highly capable, open-source object-relational database system that has been actively developed for more than three decades, earning a solid reputation for its reliability, extensive features, and impressive performance. Comprehensive resources for installation and usage are readily available in the official documentation, which serves as an invaluable guide for both new and experienced users. Additionally, the open-source community fosters numerous forums and platforms where individuals can learn about PostgreSQL, understand its functionalities, and explore job opportunities related to it. Engaging with this community can enhance your knowledge and connection to the PostgreSQL ecosystem. Recently, the PostgreSQL Global Development Group announced updates for all supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which address 25 reported bugs from the past few months. Notably, this marks the final release for PostgreSQL 10, meaning that it will no longer receive any security patches or bug fixes going forward. Therefore, if you are currently utilizing PostgreSQL 10 in your production environment, it is highly recommended that you plan to upgrade to a more recent version to ensure continued support and security. Upgrading will not only help maintain the integrity of your data but also allow you to take advantage of the latest features and improvements introduced in newer releases.

Utilizing various analytic engines ensures optimal engineering solutions, allowing QueryGrid to empower users to select the most appropriate tools for their tasks. As SQL remains the primary language in the business landscape, QueryGrid provides exceptional SQL accessibility across both commercial and open-source analytical platforms. Designed to thrive in a hybrid multi-cloud environment, Vantage effectively addresses some of the most intricate data challenges on a large scale. This software is engineered to provide autonomy, transparency, and valuable insights, enabling businesses to adapt swiftly to evolving customer needs. Ultimately, it fosters a data-driven culture that enhances decision-making and drives innovation.

A user-friendly, low-code visual platform allows for the creation and deployment of personalized chatbots that understand natural language. You can obtain text-based responses, retrieve data, generate reports and visualizations, and utilize analytics and AI through a conversational interface that feels intuitive. Within the SAS ecosystem, you can easily configure bots to enhance insight accessibility or link them to external services for broader outreach. Now, gaining insights from data is as straightforward as sending a simple message. Quickly identify significant relationships in your data with the help of smart suggestions and clearly marked related metrics. Leverage machine learning and natural language explanations to discover, visualize, and communicate compelling narratives and insights that are both accessible and easy to interpret. Investigate the reasons behind certain outcomes, explore all possibilities, and uncover hidden opportunities within your data. The system automatically highlights essential relationships, outliers, clusters, and more, unveiling crucial insights that can drive informed action and decision-making. This innovative approach empowers users to navigate complex data landscapes with confidence and clarity.

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.