Apache Kafka Integrations

Introducing Sirius, the comprehensive chatbot platform that surpasses all other conversational tools. Tailored to enhance employee productivity and boost conversion rates through engaging customer interactions, Sirius ensures a seamless conversational experience. This platform empowers administrative teams with full control and can be effortlessly implemented across various channels in a matter of hours! Immerse yourself in the innovative features of Sirius and gain valuable insights into user behavior with its intuitive analytics dashboard. Instantly access your Power BI KPIs and reports through the bot’s chat interface, providing you with real-time data at your fingertips, no matter the location. SiriusBOT possesses advanced capabilities to comprehend user intent, allowing for complete backend management. Additionally, it identifies unanswered questions and continually learns from each interaction, making it increasingly intelligent for your users. With Sirius, you not only enhance customer engagement, but also foster a proactive approach to improving the chatbot’s effectiveness.

Waterstream transforms your Kafka-compatible system into a robust MQTT broker, enabling seamless connections for millions of clients without the need for coding, integration pipelines, or extra storage requirements. It establishes a bidirectional interface that bridges Kafka with MQTT clients, eliminating the hassles of overseeing external MQTT clusters and reducing data redundancy. With Waterstream, scalability is straightforward, as its nodes operate independently for most tasks, allowing you to easily add more instances to accommodate a growing client base. The solution relies solely on Kafka, reaping the advantages of its built-in persistence features, which ensure high availability, impressive throughput, and minimal latency for optimal performance. Additionally, this means that you can focus on your applications while Waterstream efficiently manages the complexities of data streaming.

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Bid farewell to abandoned data catalogs. Acryl Cloud accelerates time-to-value by implementing Shift Left methodologies for data producers and providing an easy-to-navigate interface for data consumers. It enables the continuous monitoring of data quality incidents in real-time, automating anomaly detection to avert disruptions and facilitating swift resolutions when issues arise. With support for both push-based and pull-based metadata ingestion, Acryl Cloud simplifies maintenance, ensuring that information remains reliable, current, and authoritative. Data should be actionable and operational. Move past mere visibility and leverage automated Metadata Tests to consistently reveal data insights and identify new opportunities for enhancement. Additionally, enhance clarity and speed up resolutions with defined asset ownership, automatic detection, streamlined notifications, and temporal lineage for tracing the origins of issues while fostering a culture of proactive data management.

Data plays a crucial role in every facet of a processing plant or facility, serving as the backbone for most operational workflows, critical business decisions, and various environmental occurrences. Often, failures can be linked back to this very data, manifesting as operator mistakes, faulty sensors, safety incidents, or inadequate analytics. APERIO steps in to address these challenges effectively. In the realm of Industry 4.0, data integrity stands as a vital component, forming the bedrock for more sophisticated applications, including predictive models, process optimization, and tailored AI solutions. Recognized as the premier provider of dependable and trustworthy data, APERIO DataWise enables organizations to automate the quality assurance of their PI data or digital twins on a continuous and large scale. By guaranteeing validated data throughout the enterprise, businesses can enhance asset reliability significantly. Furthermore, this empowers operators to make informed decisions, fortifies the detection of threats to operational data, and ensures resilience in operations. Additionally, APERIO facilitates precise monitoring and reporting of sustainability metrics, promoting greater accountability and transparency within industrial practices.

The Everyware Software Framework (ESF), offered by Eurotech, is a robust IoT solution designed for enterprise environments. Built on Eclipse Kura, this open-source Java/OSGi middleware tailored for IoT gateways enhances the platform with features like provisioning, top-tier security, remote access, and diagnostic monitoring capabilities. It provides support for various field protocols such as Modbus, OPC-UA, S7, FANUC, J1939, J1979, BACnet, and IEC standards, alongside MQTT connectivity, allowing users to efficiently gather data from the field, process it at the edge, and send it to cloud-based IoT platforms. The integration with Everyware Cloud facilitates comprehensive remote device management, ensuring seamless operation of IoT edge computing applications. Users can effortlessly connect to IoT devices and cloud services utilizing industrial protocols, while also visually designing data flows to effectively manage, analyze, and route information. This powerful framework enables organizations to streamline their IoT initiatives and enhance operational efficiency.

SiteWhere utilizes Kubernetes for deploying its infrastructure and microservices, making it versatile for both on-premise setups and virtually any cloud service provider. The system is supported by robust configurations of Apache Kafka, Zookeeper, and Hashicorp Consul, ensuring a reliable infrastructure. Each microservice is designed to scale individually while also enabling seamless integration with others. It presents a comprehensive multitenant IoT ecosystem that encompasses device management, event ingestion, extensive event storage capabilities, REST APIs, data integration, and additional features. The architecture is distributed and developed using Java microservices that operate on Docker, with an Apache Kafka processing pipeline for efficiency. Importantly, SiteWhere CE remains open source, allowing free use for both personal and commercial purposes. Additionally, the SiteWhere team provides free basic support along with a continuous flow of innovative features to enhance the platform's functionality. This emphasis on community-driven development ensures that users can benefit from ongoing improvements and updates.

Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.

Enhancing model performance and conducting scenario analyses through simulations with historical datasets is essential for progress. Collaboration is streamlined across data governance, access management, and version control. With Ikigai's ready-to-use integrations, you can effortlessly incorporate a wide range of tools that fit seamlessly into your existing workflows. Ikigai offers over 200 connectors, allowing you to connect to virtually any data source you can imagine. If you're looking to deploy your machine learning pipeline to a website or dashboard, Ikigai’s web integrations make that process straightforward. Utilize triggers to initiate data synchronizations and obtain updates every time you execute a data automation flow. In addition, you can connect to your own APIs or develop new ones for your data stack, ensuring a smooth integration with Ikigai. This flexibility empowers teams to adapt quickly to changing data landscapes and leverage insights effectively.

Understanding what a digital risk protection solution entails can significantly enhance your readiness by revealing who is targeting you, their objectives, and their methods for potential compromise. Google Digital Risk Protection offers a comprehensive digital risk protection solution through both self-managed SaaS products and an all-encompassing service model. Each alternative equips security experts with the ability to see beyond their organization, recognize high-risk attack vectors, and detect malicious activities stemming from both the deep and dark web, as well as attack campaigns occurring on the surface web. Furthermore, the Google Digital Risk Protection solution supplies detailed insights into threat actors, including their tactics, techniques, and procedures, thereby enriching your cyber threat profile. By effectively mapping your attack surface and keeping tabs on activities in the deep and dark web, you can also gain valuable visibility into risk factors that could jeopardize the extended enterprise and supply chain. This proactive approach not only safeguards your organization but also enhances overall resilience against future threats.

SecuPi presents a comprehensive data-centric security solution that includes advanced fine-grained access control (ABAC), Database Activity Monitoring (DAM), and various de-identification techniques such as FPE encryption, physical and dynamic masking, and right to be forgotten (RTBF) deletion. This platform is designed to provide extensive protection across both commercial and custom applications, encompassing direct access tools, big data environments, and cloud infrastructures. With SecuPi, organizations can utilize a single data security framework to effortlessly monitor, control, encrypt, and categorize their data across all cloud and on-premises systems without requiring any modifications to existing code. The platform is agile and configurable, enabling it to adapt to both current and future regulatory and auditing demands. Additionally, its implementation is rapid and cost-effective, as it does not necessitate any alterations to source code. SecuPi's fine-grained data access controls ensure that sensitive information is safeguarded, granting users access solely to the data they are entitled to, while also integrating smoothly with Starburst/Trino to automate the enforcement of data access policies and enhance data protection efforts. This capability allows organizations to maintain compliance and security effortlessly as they navigate their data management challenges.

VeloDB, which utilizes Apache Doris, represents a cutting-edge data warehouse designed for rapid analytics on large-scale real-time data. It features both push-based micro-batch and pull-based streaming data ingestion that occurs in mere seconds, alongside a storage engine capable of real-time upserts, appends, and pre-aggregations. The platform delivers exceptional performance for real-time data serving and allows for dynamic interactive ad-hoc queries. VeloDB accommodates not only structured data but also semi-structured formats, supporting both real-time analytics and batch processing capabilities. Moreover, it functions as a federated query engine, enabling seamless access to external data lakes and databases in addition to internal data. The system is designed for distribution, ensuring linear scalability. Users can deploy it on-premises or as a cloud service, allowing for adaptable resource allocation based on workload demands, whether through separation or integration of storage and compute resources. Leveraging the strengths of open-source Apache Doris, VeloDB supports the MySQL protocol and various functions, allowing for straightforward integration with a wide range of data tools, ensuring flexibility and compatibility across different environments.

It aids in collecting timing information essential for diagnosing latency issues within service architectures. Its functionalities encompass both the gathering and retrieval of this data. When you have a trace ID from a log, you can easily navigate directly to it. If you don't have a trace ID, queries can be made using various parameters such as service names, operation titles, tags, and duration. Additionally, notable data is summarized, including the proportion of time spent on each service and the success or failure of operations. The Zipkin user interface also features a dependency diagram that illustrates the volume of traced requests processed by each application. This visualization can be instrumental in recognizing overall patterns, including error trajectories and interactions with outdated services. Overall, this tool not only simplifies the troubleshooting process but also enhances the understanding of service interactions within complex architectures.

The Baidu Messaging System (BMS) serves as a scalable and distributed message queue service renowned for its impressive throughput capabilities. It gathers extensive data from various sources such as websites, devices, and applications, allowing for immediate analysis of activities like user browsing behavior, clicks, and search queries. Built on the foundation of Apache Kafka, BMS leverages this robust, distributed, multi-partitioned, and multi-replica messaging platform. Producers and consumers communicate asynchronously through the message queue, enabling them to operate independently without waiting for one another. Unlike conventional messaging services, BMS simplifies the complexities of managing a Kafka cluster by offering it as a hosted solution. This means users can seamlessly integrate BMS with widely distributed applications without needing to manage cluster operations, paying only for what they use. Consequently, BMS provides an efficient and user-friendly approach to handling messaging needs in modern distributed systems.

Palo empowers businesses to swiftly establish a PB-level MPP architecture data warehouse service in just minutes while seamlessly importing vast amounts of data from sources like RDS, BOS, and BMR. This capability enables Palo to execute multi-dimensional big data analytics effectively. Additionally, it integrates smoothly with popular BI tools, allowing data analysts to visualize and interpret data swiftly, thereby facilitating informed decision-making. Featuring a top-tier MPP query engine, Palo utilizes column storage, intelligent indexing, and vector execution to enhance performance. Moreover, it offers in-library analytics, window functions, and a range of advanced analytical features. Users can create materialized views and modify table structures without interrupting services, showcasing its flexibility. Furthermore, Palo ensures efficient data recovery, making it a reliable solution for enterprises looking to optimize their data management processes.

Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.

Managing intricate systems doesn't inherently result in disorder. Continuous verification offers timely insights into these sophisticated systems, utilizing experimentation to unveil security and availability vulnerabilities prior to them escalating into disruptive business events. As the intricacy of our software and systems grows, development teams require a reliable method to avert costly security breaches and availability failures. There is a pressing need for a proactive approach to identify weaknesses effectively. Continuous integration and continuous delivery have empowered successful developers to accelerate their workflows. By employing chaos engineering principles, continuous verification aims to mitigate the risk of expensive incidents related to availability and security. Verica instills confidence in your most complicated systems, drawing upon a rich tradition of empirical experimentation to proactively identify potential vulnerabilities. This enterprise-grade tool seamlessly integrates with Kubernetes and Kafka right from the start, enhancing operational efficiency. Ultimately, continuous verification stands as a crucial strategy for maintaining the integrity and reliability of complex systems in a rapidly evolving technological landscape.

Introducing the innovative core banking solution designed for forward-thinking banks, SuperCore® serves as a cloud-native platform that empowers financial institutions to gain deeper insights into their customers, expedite product launches, maximize data utilization, and provide cohesive experiences. This Software as a Service (SaaS) managed offering can be accessed worldwide through AWS, streamlining deployment, integration, and operational management. Consequently, banks can significantly lower their service costs while benefiting from a no-code product builder that allows for rapid product development. Additionally, the platform features a real-time events stream that yields timely customer insights, enhancing decision-making processes. With an API-first design, it enables effortless integration across various channels and applications. Its adaptable microservices architecture is modular and configurable, supported by a unified data model that ensures longevity in technology solutions. The inclusion of SmartAdapters, developed in JavaScript and accompanied by OpenAPI Swagger documentation, future-proofs the platform further, complemented by pre-built integrations and modules that accelerate the path to going live. This comprehensive approach positions SuperCore® as an essential tool for banks aiming to thrive in a competitive landscape.

Concentrate on creating applications for processing data streams instead of spending time on infrastructure upkeep. The Managed Service for Apache Kafka takes care of Zookeeper brokers and clusters, handling tasks such as configuring the clusters and performing version updates. To achieve the desired level of fault tolerance, distribute your cluster brokers across multiple availability zones and set an appropriate replication factor. This service continuously monitors the metrics and health of the cluster, automatically replacing any node that fails to ensure uninterrupted service. You can customize various settings for each topic, including the replication factor, log cleanup policy, compression type, and maximum message count, optimizing the use of computing, network, and disk resources. Additionally, enhancing your cluster's performance is as simple as clicking a button to add more brokers, and you can adjust the high-availability hosts without downtime or data loss, allowing for seamless scalability. By utilizing this service, you can ensure that your applications remain efficient and resilient amidst any unforeseen challenges.

An innovative and more secure approach to developing fault-tolerant cloud applications is offered through the groundbreaking cloud-native DBOS operating system. Drawing from three years of collaborative open-source research and development between MIT and Stanford, DBOS transforms the landscape of cloud-native architecture. This cloud-native operating system leverages a relational database to significantly streamline the intricate application stacks commonly found today. DBOS underpins DBOS Cloud, which serves as a transactional serverless platform that ensures fault tolerance, observability, cyber resilience, and straightforward deployment for stateful TypeScript applications. The services of the operating system are built upon a distributed database management system, featuring integrated transactional and fault-tolerant state management that reduces complexity by eliminating the need for containers, cluster management, or workflow orchestration. It offers seamless scalability, outstanding performance, and consistent availability, while metrics, logs, and traces are conveniently stored in SQL-accessible tables. Additionally, the architecture minimizes the cyber attack surface, incorporates self-detection mechanisms for cyber threats, and enhances overall cyber resilience, making it a robust choice for modern cloud applications. Overall, the DBOS operating system represents a significant leap forward in simplifying cloud application development while ensuring high security and reliability.

Red Hat® Integration offers a robust suite of integration and messaging tools designed to link applications and data within hybrid infrastructures. This solution is characterized by its agility, distribution, containerization, and API-centric design. It encompasses service composition and orchestration, connectivity for applications, data transformation, real-time message streaming, change data capture, and comprehensive API management, all within a cloud-native framework and toolset that caters to the complete range of contemporary application development needs. Users can implement enterprise integration patterns (EIPs) with over 200 pluggable connectors, effectively bridging both new and existing data sources across hybrid cloud environments. Furthermore, it enables the creation, deployment, monitoring, and governance of APIs throughout their entire lifecycle. With an emphasis on an API-first methodology, integrations can be seamlessly extended across hybrid and multi-cloud settings. Additionally, services can be developed and managed using widely accepted container standards, while lightweight containers can be efficiently packaged and deployed across distributed environments, ensuring flexibility and scalability. This comprehensive approach not only enhances operational efficiency but also accelerates time-to-market for applications.

Scale from zero to millions of events per second effortlessly. Arroyo is delivered as a single, compact binary, allowing for local development on MacOS or Linux, and seamless deployment to production environments using Docker or Kubernetes. As a pioneering stream processing engine, Arroyo has been specifically designed to simplify real-time processing, making it more accessible than traditional batch processing. Its architecture empowers anyone with SQL knowledge to create dependable, efficient, and accurate streaming pipelines. Data scientists and engineers can independently develop comprehensive real-time applications, models, and dashboards without needing a specialized team of streaming professionals. By employing SQL, users can transform, filter, aggregate, and join data streams, all while achieving sub-second response times. Your streaming pipelines should remain stable and not trigger alerts simply because Kubernetes has chosen to reschedule your pods. Built for modern, elastic cloud infrastructures, Arroyo supports everything from straightforward container runtimes like Fargate to complex, distributed setups on Kubernetes, ensuring versatility and robust performance across various environments. This innovative approach to stream processing significantly enhances the ability to manage data flows in real-time applications.

Flowls offers a comprehensive logistics management solution that streamlines system integrations, automates various tasks, and improves supply chain collaboration by consolidating data and communication into one centralized platform. This innovative tool comes equipped with numerous features designed to simplify operations and enhance the efficiency of logistics workflows. It includes seamless container tracking linked with major shipping companies, providing forecast dates and real-time event monitoring. Users can manage customs processes effortlessly through the platform, eliminating the need to navigate multiple systems. With just a few clicks, you can implement automation to optimize workflows and quickly identify potential disruptions in logistics activities. Additionally, Flowls allows for the synchronization of SAP orders and shipment data, fostering a more integrated and collaborative working environment. The Flowls BI component delivers crucial insights through thorough data analysis, which supports informed decision-making and further optimizes logistics processes. Overall, Flowls is a powerful tool that not only increases operational efficiency but also enhances visibility across the entire supply chain.

ModelOp stands at the forefront of AI governance solutions, empowering businesses to protect their AI projects, including generative AI and Large Language Models (LLMs), while promoting innovation. As corporate leaders push for swift integration of generative AI, they encounter various challenges such as financial implications, regulatory compliance, security concerns, privacy issues, ethical dilemmas, and potential brand damage. With governments at global, federal, state, and local levels rapidly establishing AI regulations and oversight, organizations must act promptly to align with these emerging guidelines aimed at mitigating AI-related risks. Engaging with AI Governance specialists can keep you updated on market dynamics, regulatory changes, news, research, and valuable perspectives that facilitate a careful navigation of the benefits and hazards of enterprise AI. ModelOp Center not only ensures organizational safety but also instills confidence among all stakeholders involved. By enhancing the processes of reporting, monitoring, and compliance across the enterprise, businesses can foster a culture of responsible AI usage. In a landscape that evolves quickly, staying informed and compliant is essential for sustainable success.

Design and implement event-driven, distributed workflows that integrate AI models, APIs, databases, ETL systems, and applications seamlessly within a single platform. This approach allows organizations to achieve quicker value realization while significantly reducing operational overhead and the intricacies of infrastructure management. By prioritizing investment in unique logic and expediting feature delivery, teams can avoid the delays that often stem from platform and architectural choices that hinder development progress. Transform emergency response initiatives through capabilities like real-time transcription and the identification of important keywords and keyphrases, all while ensuring smooth connectivity with external systems. Bridge the gap between the physical and digital realms to enhance maintenance operations by keeping tabs on sensors, formulating a triage plan for operators when alerts arise, and automatically generating service tickets in the work order system. Leverage historical insights to tackle current challenges by formulating responses to incoming security assessments tailored to your organization's specific data across multiple platforms. In doing so, you create a more agile and responsive operational framework that can adapt to a wide array of industry demands.

Businesses recognize that leveraging data is crucial for improving their understanding of customers, optimizing processes, and addressing challenges. Introducing InformationGrid, a robust and secure solution designed for the effective sharing and aggregation of data. With InformationGrid, healthcare providers, including hospitals and general practitioners, can collaborate to enhance medication prescriptions through better data sharing. Whether you have a well-defined data strategy or require assistance in shaping one, we are dedicated to helping you implement your data strategy effectively. Our software-as-a-service platform is tailored to facilitate secure and cost-effective data sharing and aggregation. To ensure rapid delivery of value, we can quickly develop applications capable of managing large datasets by utilizing cloud-native methodologies. This approach not only allows you to experience immediate advantages from your data but also prepares you to harness AI technologies to further propel your business forward. Embrace the potential of your data with us and transform the way you operate.

A comprehensive and secure business data layer that delivers immediate insights for both business and data teams is essential. Stratio's generative AI data fabric encompasses the entire data management lifecycle, including data discovery, governance, utilization, and eventual disposal. In many organizations, data is scattered across various divisions, with different applications employed for distinct tasks. Stratio harnesses the power of AI to locate and access all your data, regardless of whether it resides on-premises or in the cloud. This ensures that your organization handles data in an appropriate manner. If you cannot visualize your data as soon as it is generated, you risk falling behind your customers' needs. Conventional data infrastructures often require hours to process customer data, hindering responsiveness. Stratio, however, enables real-time access to 100% of your data without necessitating its relocation, allowing you to respond swiftly while maintaining crucial context. Ultimately, by integrating operational and informational aspects within a collaborative platform, organizations can transition to leveraging instant extended AI capabilities for enhanced decision-making and agility. Embracing such a unified approach will empower businesses to thrive in a data-driven landscape.

Axual provides a Kafka-as-a-Service tailored for DevOps teams, empowering them to extract insights and make informed decisions through our user-friendly Kafka platform. For enterprises seeking to effortlessly incorporate data streaming into their essential IT frameworks, Axual presents the perfect solution. Our comprehensive Kafka platform is crafted to remove the necessity for deep technical expertise, offering a ready-made service that allows users to enjoy the advantages of event streaming without complications. The Axual Platform serves as an all-encompassing solution, aimed at simplifying and improving the deployment, management, and use of real-time data streaming with Apache Kafka. With a robust suite of features designed to meet the varied demands of contemporary businesses, the Axual Platform empowers organizations to fully leverage the capabilities of data streaming while reducing complexity and minimizing operational burdens. Additionally, our platform ensures that your team can focus on innovation rather than getting bogged down by technical challenges.

Data contracts play a crucial role in enhancing the interaction between data teams and developers. Rather than merely identifying issues after they arise, it’s essential to proactively prevent them at the application level. Utilize AI-powered asset registration to monitor every alteration from all data sources. Amplify the success of data initiatives by ensuring visibility upstream and conducting thorough impact analyses. By implementing data governance as code and data contracts, both data ownership and management can be shifted left. Establishing trust in data is also vital, achieved through prompt communication regarding data quality standards and any modifications. Our AI-driven technology allows for the elimination of data problems right at their origin, ensuring a smoother workflow. Gable serves as a B2B data infrastructure SaaS that provides a collaborative platform specifically designed for the creation and enforcement of data contracts. These ‘data contracts’ are essentially API-based agreements between software engineers managing upstream data sources and the data engineers or analysts who utilize that data for machine learning model development and analytics. With Gable, organizations can streamline their data processes, ultimately fostering a culture of trust and efficiency.

Salesforce Data Cloud serves as a real-time data platform aimed at consolidating and overseeing customer information from diverse sources within a business, facilitating a unified and thorough perspective of each client. This platform empowers organizations to gather, synchronize, and evaluate data in real time, thereby creating a complete 360-degree customer profile that can be utilized across various Salesforce applications, including Marketing Cloud, Sales Cloud, and Service Cloud. By merging data from both online and offline avenues, such as CRM data, transactional records, and external data sources, it fosters quicker and more personalized interactions with customers. Additionally, Salesforce Data Cloud is equipped with sophisticated AI tools and analytical features, enabling businesses to derive deeper insights into customer behavior and forecast future requirements. By centralizing and refining data for practical application, it enhances customer experiences, allows for targeted marketing efforts, and promotes effective, data-driven decisions throughout different departments. Ultimately, Salesforce Data Cloud not only streamlines data management but also plays a crucial role in helping organizations stay competitive in a rapidly evolving marketplace.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

The SAP Store serves as a vast online marketplace where companies can find, test, and buy more than 3,000 applications, extensions, and services provided by SAP and its reliable partners. This platform presents a diverse range of solutions aimed at helping organizations tackle various business challenges, including enterprise software and tools for finance, human resources, and analytics, in addition to innovative applications and enhancements. Users have the option to explore both complimentary trials and premium offerings, ensuring smooth access to SAP and partner solutions that enhance business operations. With user-friendly browsing and search functionalities, businesses can easily locate, acquire, and manage their desired solutions while enjoying seamless integration with their existing SAP technologies. This convenience ultimately empowers organizations to optimize their workflows and drive efficiency across all departments.

Observo AI is an innovative platform tailored for managing large-scale telemetry data within security and DevOps environments. Utilizing advanced machine learning techniques and agentic AI, it automates the optimization of data, allowing companies to handle AI-generated information in a manner that is not only more efficient but also secure and budget-friendly. The platform claims to cut data processing expenses by over 50%, while improving incident response speeds by upwards of 40%. Among its capabilities are smart data deduplication and compression, real-time anomaly detection, and the intelligent routing of data to suitable storage or analytical tools. Additionally, it enhances data streams with contextual insights, which boosts the accuracy of threat detection and helps reduce the occurrence of false positives. Observo AI also features a cloud-based searchable data lake that streamlines data storage and retrieval, making it easier for organizations to access critical information when needed. This comprehensive approach ensures that enterprises can keep pace with the evolving landscape of cybersecurity threats.

Onum serves as a real-time data intelligence platform designed to equip security and IT teams with the ability to extract actionable insights from in-stream data, thereby enhancing both decision-making speed and operational effectiveness. By analyzing data at its origin, Onum allows for decision-making in mere milliseconds rather than taking minutes, which streamlines intricate workflows and cuts down on expenses. It includes robust data reduction functionalities that smartly filter and condense data at the source, guaranteeing that only essential information is sent to analytics platforms, thus lowering storage needs and related costs. Additionally, Onum features data enrichment capabilities that convert raw data into useful intelligence by providing context and correlations in real time. The platform also facilitates seamless data pipeline management through effective data routing, ensuring that the appropriate data is dispatched to the correct destinations almost instantly, and it accommodates a variety of data sources and destinations. This comprehensive approach not only enhances operational agility but also empowers teams to make informed decisions swiftly.

Tenzir is a specialized data pipeline engine tailored for security teams, streamlining the processes of collecting, transforming, enriching, and routing security data throughout its entire lifecycle. It allows users to efficiently aggregate information from multiple sources, convert unstructured data into structured formats, and adjust it as necessary. By optimizing data volume and lowering costs, Tenzir also supports alignment with standardized schemas such as OCSF, ASIM, and ECS. Additionally, it guarantees compliance through features like data anonymization and enhances data by incorporating context from threats, assets, and vulnerabilities. With capabilities for real-time detection, it stores data in an efficient Parquet format within object storage systems. Users are empowered to quickly search for and retrieve essential data, as well as to reactivate dormant data into operational status. The design of Tenzir emphasizes flexibility, enabling deployment as code and seamless integration into pre-existing workflows, ultimately seeking to cut SIEM expenses while providing comprehensive control over data management. This approach not only enhances the effectiveness of security operations but also fosters a more streamlined workflow for teams dealing with complex security data.

Borneo serves as an advanced platform for real-time data security and privacy observability, aimed at equipping organizations with the tools needed to identify, address, and manage data risks while upholding privacy standards and compliance requirements. It allows users to pinpoint the locations of health, financial, and personally identifiable information (PII) across various unstructured data sources, SaaS applications, and public cloud settings. By utilizing a sophisticated risk correlation engine, Borneo detects data that breaches security protocols and privacy laws, facilitating prompt intervention. The platform also provides automated remediation options such as data masking, modifications to access permissions, and encryption, all while continuously monitoring data changes to ensure compliance and mitigate regulatory risks. Developed by former security experts from firms like Uber, Facebook, and Yahoo, Borneo is engineered to effectively manage data at scale. It incorporates a robust connector framework for seamless integration across disparate data environments, promotes flexible and modular deployment options, and guarantees that data remains securely within the user's cloud infrastructure. Ultimately, Borneo empowers organizations to maintain a proactive stance on data security and privacy management.

100X is an advanced platform powered by artificial intelligence, designed to effectively troubleshoot intricate software systems by autonomously examining tickets, alerts, logs, metrics, traces, code, and knowledge in order to identify and resolve issues. It follows a multi-stage approach that includes establishing a detailed knowledge graph by connecting to your environment, thoroughly investigating each alert or support ticket received, dynamically querying telemetry data, and correlating signals across various systems to isolate specific problems backed by evidence. Furthermore, it recommends reliable solutions complete with pertinent context and continuously learns from every resolution by recording commands, fixes, and failure patterns identified by your team. With seamless integration capabilities with tools such as Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, 100X can be deployed within your cloud infrastructure, guaranteeing that all data is accessed, processed, and retained solely within your cloud environment. This fosters a secure and efficient troubleshooting process that adapts to evolving challenges in software management.

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.

TIBCO Streaming is an advanced analytics platform focused on real-time processing and analysis of fast-moving data streams, which empowers organizations to make swift, data-informed choices. With its low-code development environment found in StreamBase Studio, users can create intricate event processing applications with ease and minimal coding requirements. The platform boasts compatibility with over 150 connectors, such as APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, ensuring smooth integration with diverse data sources. Incorporating dynamic learning operators, TIBCO Streaming allows for the use of adaptive machine learning models that deliver contextual insights and enhance automation in decision-making. Additionally, it provides robust real-time business intelligence features that enable users to visualize current data alongside historical datasets for a thorough analysis. The platform is also designed for cloud readiness, offering deployment options across AWS, Azure, GCP, and on-premises setups, thereby ensuring flexibility for various organizational needs. Overall, TIBCO Streaming stands out as a powerful solution for businesses aiming to harness real-time data for strategic advantages.

Auguria is a cutting-edge security data platform designed for the cloud that leverages the synergy between human intelligence and machine capabilities to sift through billions of logs in real time, identifying the crucial 1 percent of event data by cleansing, denoising, and ranking security events. Central to its functionality is the Auguria Security Knowledge Layer, which operates as a vector database and embedding engine, developed from an ontology shaped by extensive real-world SecOps experience, allowing it to semantically categorize trillions of events into actionable insights for investigations. Users can seamlessly integrate any data source into an automated pipeline that efficiently prioritizes, filters, and directs events to various destinations such as SIEM, XDR, data lakes, or object storage, all without needing specialized data engineering skills. Continuously enhancing its advanced AI models with fresh security signals and context specific to different states, Auguria also offers anomaly scoring and explanations for each event, alongside real-time dashboards and analytics that facilitate quicker incident triage, proactive threat hunting, and adherence to compliance requirements. This comprehensive approach not only streamlines the security workflow but also empowers organizations to respond more effectively to potential threats.

Introducing the ultimate multicloud monitoring solution that offers real-time analytics for diverse environments, previously known as SignalFx. This platform enables monitoring across any environment using a highly scalable streaming architecture. It features open, adaptable data collection and delivers rapid visualizations of services in mere seconds. Designed specifically for dynamic and ephemeral cloud-native environments, it supports various scales including Kubernetes, containers, and serverless architectures. Users can promptly detect, visualize, and address issues as they emerge. It empowers real-time infrastructure performance monitoring at cloud scale through innovative predictive streaming analytics. With over 200 pre-built integrations for various cloud services and ready-to-use dashboards, it facilitates swift visualization of your entire operational stack. Additionally, the system can autodiscover, break down, group, and explore various clouds, services, and systems effortlessly. This comprehensive solution provides a clear understanding of how your infrastructure interacts across multiple services, availability zones, and Kubernetes clusters, enhancing operational efficiency and response times.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

Build the interoperability solution you need. Rhapsody is a flexible toolbox which allows your team to adapt to any modern environment. Rhapsody helps you provide the highest level service by ensuring healthcare data flows where, when and how your unique environment requires. Create flexible solutions for every connection requirement. Streamline workflows using a solution that's infinitely configurable, and specifically designed for healthcare. Create intricate integrations using a robust toolkit, which has been tested around the world. The platform has customers in 36 different countries. Create FHIR interfaces that are cutting edge with ease and simplicity using REST and FHIR specific JSON. Security is a primary concern, and is built into the entire product. This is to protect any protected health information that passes through the engine.

We developed Conduktor, a comprehensive and user-friendly interface designed to engage with the Apache Kafka ecosystem seamlessly. Manage and develop Apache Kafka with assurance using Conduktor DevTools, your all-in-one desktop client tailored for Apache Kafka, which helps streamline workflows for your entire team. Learning and utilizing Apache Kafka can be quite challenging, but as enthusiasts of Kafka, we have crafted Conduktor to deliver an exceptional user experience that resonates with developers. Beyond merely providing an interface, Conduktor empowers you and your teams to take command of your entire data pipeline through our integrations with various technologies associated with Apache Kafka. With Conduktor, you gain access to the most complete toolkit available for working with Apache Kafka, ensuring that your data management processes are efficient and effective. This means you can focus more on innovation while we handle the complexities of your data workflows.

Seamlessly synchronize data across your production systems with an adaptable, event-driven approach that integrates effortlessly into your current workflow while minimizing dependencies. Streamline the cumbersome multi-step processes you currently face; simply download the binary and begin your development journey. Conduit pipelines actively monitor changes in databases, data warehouses, and more, enabling your data applications to respond to these modifications in real-time. With Conduit connectors, you can easily transfer data to and from any production datastore required. Should you find a datastore lacking, the user-friendly SDK empowers you to extend Conduit as needed. You have the flexibility to deploy it in a manner that suits your needs, whether as an independent service or integrated into your existing infrastructure, ensuring optimal performance. This versatility allows you to tailor your data synchronization process to meet specific organizational requirements.

OctoData is implemented at a more economical rate through Cloud hosting and provides tailored assistance that spans from identifying your requirements to utilizing the solution effectively. Built on cutting-edge open-source technologies, OctoData is flexible enough to adapt and embrace future opportunities. Its Supervisor feature provides a user-friendly management interface that enables the swift collection, storage, and utilization of an expanding array of data types. With OctoData, you can develop and scale your large-scale data recovery solutions within the same ecosystem, even in real-time scenarios. By leveraging your data effectively, you can generate detailed reports, discover new opportunities, enhance productivity, and improve profitability. Additionally, OctoData's adaptability ensures that as your business evolves, your data solutions can grow alongside it, making it a future-proof choice for enterprises.

Jump to our product page for more information about our data integration software. This includes solutions for Active Directory and SharePoint. Our data integration solutions offer developers the opportunity to use the flexibility and power offered by the SSIS ETL engine to connect almost any application or data source. Data integration is possible without writing any code. This means that your development can be completed in minutes. Our integration solutions are the most flexible on the market. Our software has intuitive user interfaces that make it easy and flexible to use. Our solution is easy to use and offers the best return on your investment. Our software has many features that will help you achieve the highest performance without consuming too much of your budget.