Business Software for Progress DataDirect

Our complete platform for marketers allows you to see measurable results with your videos and podcasts. All your videos and podcasts can be turned into marketing machines with one easy-to-use platform. Upload, customize, embed content experiences that feel just like your brand. Integrate with your tech stack to send engagement data directly to your CRM, ad platforms and marketing tools. One platform allows you to tell a complete story. Flexible hosting is perfect for podcasts and videos. Make friends in the video marketing industry. We are here to help, from our education to our community. Our intuitive platform provides you with the tools to improve your content's performance, from a player that is brandable to actionable insights. You can embed your content wherever you like with a player that matches the brand. Email collection, CTAs and links can bring you measurable results. You can publish a gallery of videos and webinars as one streamable 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.

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

AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.

Utilize the most reliable and independent platform for location data and technology to enhance your business operations. By leveraging our managed or self-service solutions, you can effectively identify and engage new audiences through targeted advertising informed by foot traffic patterns. Additionally, measure how your advertising efforts contribute to increased visits, using insights gathered from the largest continuous panel in the industry. With the Places API, you can facilitate user navigation, destination sharing, and more within your app or website, ensuring a seamless experience. Our Pilgrim SDK allows you to harness cutting-edge real-time location detection to better understand, engage, and retain your user base. Swarm empowers you to track your movements, reflect on the places you've visited, and keep a wishlist of locations you wish to explore. Furthermore, if you're uncertain about where to head next, City Guide offers a wealth of trusted, crowdsourced suggestions for the finest local dining, sights, and activities, ensuring that your adventures are always enriching. This comprehensive suite of tools is designed to elevate your business and enhance user engagement in a dynamic market.

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.

NoSQL refers to a specialized programming language designed for interacting with, managing, and altering non-tabular database systems. This type of database, which stands for "non-SQL" or "non-relational," allows for data storage and retrieval through structures that differ from the traditional tabular formats found in relational databases. Although such databases have been around since the late 1960s, the term "NoSQL" only emerged in the early 2000s as a response to the evolving demands of Web 2.0 applications. These databases have gained popularity for handling big data and supporting real-time web functionalities. Often referred to as Not Only SQL, NoSQL systems highlight their capability to accommodate SQL-like query languages while coexisting with SQL databases in hybrid architectures. Many NoSQL solutions prioritize availability, partition tolerance, and performance over strict consistency, as outlined by the CAP theorem. Despite their advantages, the broader acceptance of NoSQL databases is hindered by the necessity for low-level query languages that may pose challenges for users. As the landscape of data management continues to evolve, the role of NoSQL databases is likely to expand even further.

Clipper is an efficient and user-friendly clipboard manager designed for smartphones and tablets. It serves as an ideal solution for retaining clipboard history, allowing you to retrieve your copied content whenever required. With Clipper, you need not fret about losing any clipboard entries, as it automatically saves every item you copy. You can conveniently access Clipper through the notification bar to copy, view, modify, or share your saved clippings. Additionally, you can categorize and organize your clippings into various lists for easier management. Clipper allows you to store frequently used text snippets, enabling you to copy them effortlessly whenever necessary. Take charge of your clipboard functionality today by downloading Clipper, or opt for Clipper Plus for just €1.49 to enjoy enhanced features. You'll have the capacity to save over 20 clippings and discover additional options for customization. Experience the ability to insert dynamic elements into your clippings, such as the current date or time! Remember to launch Clipper once after installation to activate its monitoring capabilities effectively.

The Hybrid Data Pipeline stands out as the preferred solution for organizations that understand that how they access and utilize data is a key factor in gaining a competitive edge today. Featuring an extensive library of data connectors, it enhances data management through identity-based access controls that are applicable to both teams and individuals and offers universal client connectivity options such as ODBC, JDBC, OData, and REST, among others. As companies navigate intricate hybrid data environments due to corporate compliance policies, it can be challenging to maintain clear visibility over data access and to control the rising costs associated with data management, security, and compliance. With the Hybrid Data Pipeline, DataDirect simplifies this process by providing a streamlined gateway that facilitates access control without the need for sharing database credentials or managing local installations. The platform also excels in identity management, allowing organizations to provision data sources effectively and manage user and role-based access, which fosters improved security and governance. By leveraging this innovative solution, businesses can not only enhance their data management practices but also ensure compliance and security are maintained efficiently.

HubSpot's AI powered customer platform puts your customers first, allowing you to grow more effectively. Connect your front-office teams with a complete view on the customer journey. Use AI-powered tools for a seamless experience with customers. Easily adapt to new industry trends and technologies. Traditional CRMs are not enough to drive growth. Most CRMs are not designed to connect with customers, which is crucial in an AI-driven environment where customers can easily explore, evaluate and buy. HubSpot's Customer Platform is so much more. It's powered with Smart CRM, which combines AI and customer data to help you adapt. It also has products for engaging customers throughout the entire journey and an ecosystem that includes integrations, education and community. It's designed to help businesses connect with their customers and grow.

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.

Sugar Connect integrates essential customer experience functions into the email and calendar applications that Sales and Services utilize daily. This innovative tool ensures your CRM, email, and calendar systems stay synchronized without the need for manual data entry. By linking your G Suite or Office 365 account with your Sugar instance, you can access pertinent information as you engage with prospects and clients in real-time. This seamless integration is the simplest method to deliver genuinely personalized experiences that foster long-term customer loyalty. Receive contextual insights about the individuals you’re corresponding with right within your email platform. Eliminate the hassles of switching between apps, as the no-touch synchronization is both automatic and straightforward. Tailor your communications with immediate insights based on the recipient and the timing of your emails. Additionally, you can achieve comprehensive visibility into the status of your accounts, contacts, leads, and opportunities directly through G Suite or Office 365, making your workflow more efficient than ever before. The convenience of this integration ultimately enhances your ability to nurture strong relationships with your clients.

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.

Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.

Cloud Search offers the power of Google Search tailored for your business, enabling a comprehensive enterprise search experience. It can be utilized in conjunction with G Suite or as an independent tool to link various third-party applications and data sources, allowing employees to efficiently and securely locate information throughout the organization. The process of searching through corporate data is simplified with Cloud Search. By leveraging machine learning, it provides immediate query suggestions and highlights the most pertinent results from over 100 content platforms in more than 100 languages. Essentially, Cloud Search mirrors Google's capabilities for the web, but focuses on enhancing enterprise search for organizations. Additionally, it provides enterprise search solutions through sturdy SDKs and user-friendly APIs, making it easy to scale and index extensive data from diverse origins. With more than 100 connectors available, you can seamlessly integrate and index content from a wide array of enterprise sources, ensuring that your business's information is always at your fingertips. This innovative search solution empowers employees to enhance their productivity and decision-making processes.

Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.

The path to modernization begins now. Here, you can select your avenue to achieve a successful evolution of your application. As you embark on this journey, utilize the resources available to assist you every step of the way. The OpenEdge 12 release series serves as a solid technical foundation to support your application evolution initiatives. A suggested framework is also provided for deploying OpenEdge applications within the AWS Cloud. With OpenEdge, you have options when it comes to modernizing your applications. It continues to meet the ongoing need for business evolution by offering applications that are reliable, high-performing, and adaptable. By addressing the expectations of your customers and users both now and in the future, the Progress Application Evolution approach presents systematic steps toward modernization, thereby removing the necessity for extensive re-architecting. Take a moment to explore the potential benefits that OpenEdge 12 can bring to your organization, and see how it can enhance your operational capabilities. This can lead to transformative improvements that align your business with future demands.

SAP BW/4HANA is an integrated data warehouse solution that utilizes SAP HANA technology. Serving as the on-premise component of SAP’s Business Technology Platform, it facilitates the consolidation of enterprise data, ensuring a unified and agreed-upon view across the organization. By providing a single source for real-time insights, it simplifies processes and fosters innovation. Leveraging the capabilities of SAP HANA, this advanced data warehouse empowers businesses to unlock the full potential of their data, whether sourced from SAP applications, third-party systems, or diverse data formats like unstructured, geospatial, or Hadoop-based sources. Organizations can transform their data management practices to enhance efficiency and agility, enabling the deployment of live insights at scale, whether hosted on-premise or in the cloud. Additionally, it supports the digitization of all business sectors, while integrating seamlessly with SAP’s digital business platform solutions. This approach allows companies to drive substantial improvements in decision-making and operational efficiency.

Campaign Manager 360 is a cloud-based advertising management platform designed for both advertisers and agencies, facilitating the oversight of digital campaigns across various online and mobile environments. It boasts a comprehensive array of capabilities for ad serving, audience targeting, ad verification, and detailed performance reporting. Through the Trafficking feature, users can effectively manage their creative assets and execute advertising campaigns. The reporting functionality allows for the aggregation and analysis of performance data from ads managed within Campaign Manager 360, presenting this information in a user-friendly format. You can create and customize your reports, with options that include standard reports, floodlight reports, path to conversion (P2C) reports, reach reports, and various cross-dimension reach report types and subtypes. This enables you to gain valuable insights into the pathways users take, revealing the influence of different channels on your conversions. Furthermore, the verification section within Reporting provides tools to assess the overall performance of your ad impressions, while also offering guidance on tagging, geo-targeting, and verifying content accuracy. By leveraging these features, you can enhance the effectiveness of your advertising strategies.

Oracle Autonomous Data Warehouse is a cloud-based data warehousing solution designed to remove the intricate challenges associated with managing a data warehouse, including cloud operations, data security, and the creation of data-centric applications. This service automates essential processes such as provisioning, configuration, security measures, tuning, scaling, and data backup, streamlining the overall experience. Additionally, it features self-service tools for data loading, transformation, and business modeling, along with automatic insights and integrated converged database functionalities that simplify queries across diverse data formats and facilitate machine learning analyses. Available through both the Oracle public cloud and the Oracle Cloud@Customer within client data centers, it offers flexibility to organizations. Industry analysis by experts from DSC highlights the advantages of Oracle Autonomous Data Warehouse, suggesting it is the preferred choice for numerous global enterprises. Furthermore, there are various applications and tools that work seamlessly with the Autonomous Data Warehouse, enhancing its usability and effectiveness.

Break down data silos through a unified storage solution that effectively optimizes expenses by employing tiered storage and comprehensive policy management. Enhance data authentication with Azure Active Directory (Azure AD) alongside role-based access control (RBAC), while bolstering data protection with features such as encryption at rest and advanced threat protection. This approach ensures a highly secure environment with adaptable mechanisms for safeguarding access, encryption, and network-level governance. Utilizing a singular storage platform, you can seamlessly ingest, process, and visualize data while supporting prevalent analytics frameworks. Cost efficiency is further achieved through the independent scaling of storage and compute resources, lifecycle policy management, and object-level tiering. With Azure's extensive global infrastructure, you can effortlessly meet diverse capacity demands and manage data efficiently. Additionally, conduct large-scale analytical queries with consistently high performance, ensuring that your data management meets both current and future needs.

Harness the capabilities of both private and public clouds through a unique hybrid data platform tailored for contemporary data architectures, enabling data access from any location. Cloudera stands out as a hybrid data platform that offers unparalleled flexibility, allowing users to choose any cloud, any analytics solution, and any type of data. It streamlines data management and analytics, ensuring optimal performance, scalability, and security for data accessibility from anywhere. By leveraging Cloudera, organizations can benefit from the strengths of both private and public clouds, leading to quicker value realization and enhanced control over IT resources. Moreover, Cloudera empowers users to securely transfer data, applications, and individuals in both directions between their data center and various cloud environments, irrespective of the data's physical location. This bi-directional capability not only enhances operational efficiency but also fosters a more adaptable and responsive data strategy.

Experience HPE Ezmeral Data Fabric Software as a fully managed service by registering today for a 300GB instance that allows you to explore its latest features and functionalities. As enterprises increasingly distribute their data across numerous locations, the demand for insightful, high-quality data is on the rise, with users expecting more comprehensive insights. Hybrid cloud solutions emerge as a superior option, providing optimal results in terms of cost efficiency, data distribution, workload management, and overall user satisfaction. One of the significant advantages of a hybrid approach is its ability to align applications with the most suitable services throughout their lifecycle. However, this hybrid model also introduces added complexities, such as restricted data visibility, the necessity for diverse analytic formats, and the possibility of increased organizational risk and expenses. Therefore, while hybrid solutions offer flexibility and scalability, careful consideration is essential to manage these complexities effectively.

Introducing a versatile, open-source multi-cloud platform for contemporary data applications, built on Apache Cassandra™. Achieve global-scale performance with guaranteed 100% uptime while avoiding vendor lock-in. You have the flexibility to deploy on multi-cloud environments, on-premises infrastructures, or use Kubernetes. The platform is designed to be elastic and offers a pay-as-you-go pricing model to enhance total cost of ownership. Accelerate your development process with Stargate APIs, which support NoSQL, real-time interactions, reactive programming, as well as JSON, REST, and GraphQL formats. Bypass the difficulties associated with managing numerous open-source projects and APIs that lack scalability. This solution is perfect for various sectors including e-commerce, mobile applications, AI/ML, IoT, microservices, social networking, gaming, and other highly interactive applications that require dynamic scaling based on demand. Start your journey of creating modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Leverage REST, GraphQL, and JSON alongside your preferred full-stack framework. This platform ensures that your richly interactive applications are not only elastic but also ready to gain traction from the very first day, all while offering a cost-effective Apache Cassandra DBaaS that scales seamlessly and affordably as your needs evolve. With this innovative approach, developers can focus on building rather than managing infrastructure.

Oracle Cloud CX, built on a cutting-edge cloud platform that utilizes best practices and innovative technologies, provides tools that are user-friendly for business staff while being robust enough for developers to enhance further. The suite of Oracle CX applications is both groundbreaking and adaptable, ensuring reliable performance and security for its users. By adopting a data-centric strategy, Oracle Cloud CX effectively links customer behaviors, transactions, and demographic information across various sectors, including marketing, sales, and service, to craft tailored experiences for each user. With over four decades of expertise, Oracle has assisted clients in effectively managing, safeguarding, and leveraging their data for business benefits. Data is integral to our identity. The platform allows businesses to create, share, and distribute meaningful content and offers, enabling the personalization of customer interactions. Additionally, Oracle Content Management serves as a centralized hub for all enterprise assets, such as invoices, marketing materials, company documents, images, and videos, streamlining management and access to crucial content across the organization. This comprehensive approach not only enhances operational efficiency but also fosters stronger connections with customers.