Business Software for Apache Kafka

Gravity aims to simplify the process of streaming data from over 100 different sources, allowing users to pay only for what they actually utilize. By providing a straightforward interface, Gravity eliminates the need for engineering teams to create streaming pipelines, enabling users to set up streaming from databases, event data, and APIs in just minutes. This empowers everyone on the data team to engage in a user-friendly point-and-click environment, allowing you to concentrate on developing applications, services, and enhancing customer experiences. Additionally, Gravity offers comprehensive execution tracing and detailed error messages for swift problem identification and resolution. To facilitate a quick start, we have introduced various new features, including bulk setup options, predefined schemas, data selection capabilities, and numerous job modes and statuses. With Gravity, you can spend less time managing infrastructure and more time performing data analysis, as our intelligent engine ensures your pipelines run seamlessly. Furthermore, Gravity provides integration with your existing systems for effective notifications and orchestration, enhancing overall workflow efficiency. Ultimately, Gravity equips your team with the tools needed to transform data into actionable insights effortlessly.

An innovative framework designed for automated integration testing accommodates a variety of messaging protocols and data formats! Within a standard testing scenario, the system being evaluated operates on a designated test setup while connecting with Citrus through different messaging channels. Throughout the testing process, Citrus functions as both a client and a consumer, facilitating the exchange of genuine request and response messages across the network. Each step of the test allows for the validation of the messages exchanged against predetermined control data, which encompasses message headers, attachments, and content in various formats such as XML and JSON. The framework offers a Java fluent API enabling the clear definition of test logic and operates fully autonomously. This repeatable test essentially functions as a conventional JUnit or TestNG test, making it seamlessly integrable into any CI/CD pipeline. Kamelets, which are snippets of Camel-K routes, serve as standardized sources and sinks for events within an event-driven architecture, enhancing the framework's versatility and efficiency. With this setup, developers can ensure robust testing processes that align with modern software development practices.

Deploy machine learning applications in just minutes instead of taking months. Streamline the conversion of raw data, create training datasets, and deliver features for scalable online inference effortlessly. By replacing custom data pipelines with reliable automated pipelines, you can save significant time and effort. Boost your team's productivity by enabling the sharing of features across the organization while standardizing all your machine learning data workflows within a single platform. With the ability to serve features at massive scale, you can trust that your systems will remain operational consistently. Tecton adheres to rigorous security and compliance standards. Importantly, Tecton is not a database or a processing engine; instead, it integrates seamlessly with your current storage and processing systems, enhancing their orchestration capabilities. This integration allows for greater flexibility and efficiency in managing your machine learning processes.

Equalum offers a unique continuous data integration and streaming platform that seamlessly accommodates real-time, batch, and ETL scenarios within a single, cohesive interface that requires no coding at all. Transition to real-time capabilities with an intuitive, fully orchestrated drag-and-drop user interface designed for ease of use. Enjoy the benefits of swift deployment, powerful data transformations, and scalable streaming data pipelines, all achievable in just minutes. With a multi-modal and robust change data capture (CDC) system, it enables efficient real-time streaming and data replication across various sources. Its design is optimized for exceptional performance regardless of the data origin, providing the advantages of open-source big data frameworks without the usual complexities. By leveraging the scalability inherent in open-source data technologies like Apache Spark and Kafka, Equalum's platform engine significantly enhances the efficiency of both streaming and batch data operations. This cutting-edge infrastructure empowers organizations to handle larger data volumes while enhancing performance and reducing the impact on their systems, ultimately facilitating better decision-making and quicker insights. Embrace the future of data integration with a solution that not only meets current demands but also adapts to evolving data challenges.

BOSCO™ leverages your data alongside our innovative AI technology to pinpoint the most effective areas for allocating your marketing budget, ensuring optimal results. By integrating your internal marketing information with sophisticated algorithmic models, BOSCO™ generates customized reporting dashboards. The platform's user-friendly interface acts as a consolidated source of truth, empowering marketing professionals to enhance their digital spending strategies through data-informed insights. With our distinctive BOSCO™ Index feature, we assess your domain's performance relative to key competitors within your sector. The BOSCO Index™ quantifies your online presence and evaluates how well you are performing in both organic and paid media investments. Built upon reliable data sourced from reputable third-party domains and historical digital interactions, BOSCO™ focuses not on the size of your marketing budget but on your ability to optimize online visibility through paid and organic search strategies. Additionally, BOSCO™ identifies and ranks ten competitors in your market, providing valuable insights into competitive positioning. Ultimately, this comprehensive analysis helps marketers adapt their strategies to achieve superior results in a dynamic digital landscape.

CorralData is an AI-powered, full service platform that radically streamlines analyzing and unifying data from multiple sources. With CorralData, you can access an on-call human data team and industry-leading AI tools to fuel remarkable, data-driven results easily and cost-effectively. No coding, SQL, or engineering resources required. Looking to streamline your data sources? With over 450 pre-built data connectors, we help you unify your datasets easily. Our top-tier, U.S.-based support team will guide you every step of the way. Then, chat with your data using natural language AI queries to begin instantly and securely unlocking powerful data insights. Or work directly with our human data team to generate the insight you need. The platform includes everything you need to start using data to drive results in one simple, month-to-month subscription—stunning data visualization tools, built-in chat, custom reporting, and access to human experts. Schedule a free demo or start a free trial and see how simple and easy AI-powered data analysis can be.

FairCom EDGE makes it easy to integrate sensor and machine data at their source - be that a factory, water treatment facility, oil platform, wind farm, or other industrial site. FairCom EDGE is the first converged IoT/Industrial IoT hub in the world. It unifies messaging and persistence with an all-in one solution. It also offers browser-based administration, configuration, and monitoring. FairCom EDGE supports MQTT, OPC UA and SQL for machine-tomachine (M2M), communication, and HTTP/REST for monitoring and real-time reporting. It constantly retrieves data from sensors and devices with OPC UA support and receives messages from machines with MQTT support. The data is automatically parsed and persisted, and made available via MQTT or SQL.

A low-code, no-code strategy enhances data quality management. This software-as-a-service (SaaS) model offers flexibility, cost-effectiveness, seamless integration, and robust support options. It maintains rigorous standards for encryption, identity management, role-based access control, data governance, and compliance. Utilizing advanced machine learning algorithms, it identifies anomalies in row-value data, with the capability to evolve alongside the unique requirements of users' businesses and datasets. Users can incorporate numerous data sources, records, and attributes effortlessly, making the platform resilient to unexpected increases in data volume. It accommodates both batch and streaming processing, ensuring that data is consistently monitored to provide real-time alerts without affecting pipeline performance. The platform offers a smooth onboarding, integration, and investigation process, making it accessible to data teams aiming to proactively spot and analyze anomalies as they arise. With a no-code onboarding process, users can simply connect to their data sources and set their alerting preferences. Telmai intelligently adapts to data patterns, notifying users of any significant changes, ensuring that they remain informed and prepared for any data fluctuations.

DeltaStream is an integrated serverless streaming processing platform that integrates seamlessly with streaming storage services. Imagine it as a compute layer on top your streaming storage. It offers streaming databases and streaming analytics along with other features to provide an integrated platform for managing, processing, securing and sharing streaming data. DeltaStream has a SQL-based interface that allows you to easily create stream processing apps such as streaming pipelines. It uses Apache Flink, a pluggable stream processing engine. DeltaStream is much more than a query-processing layer on top Kafka or Kinesis. It brings relational databases concepts to the world of data streaming, including namespacing, role-based access control, and enables you to securely access and process your streaming data, regardless of where it is stored.

PFLB specializes exclusively in performance testing. We help companies identify and resolve performance bottlenecks, such as slow database queries or API calls that are not performing well. We are the company of choice for clients who need performance testing across a wide range of technologies, such as web and mobile applications and core banking systems. We offer a wide range of solutions for JMeter, LoadRunner and other environments. PFLB is a load testing platform that allows companies to perform efficient and scalable performance test. PFLB is a global leader in performance testing with over 15 years' experience.

Transform your approach to data management with Tablize, which effortlessly converts various sources into dynamic dashboards using AI technology. Tablize enables seamless integration of different live data sources, facilitating real-time calculations across sheets for enhanced processing. You can automatically draw in data from any location, whether it resides in spreadsheets, databases, ERPs, or CRMs, ensuring comprehensive accessibility. The platform’s customizable dashboard blocks and extensive toolbox provide tailored setups that cater to the unique analytical requirements of each user persona. Additionally, the dashboard portal synchronizes views smoothly across multiple devices, enhancing consistency and collaboration. By harnessing these synchronized insights, organizations can empower leaders to make informed decisions from anywhere. This capability not only streamlines data utilization but also fosters a culture of data-driven leadership.

Scalable Python framework designed to build real-time intelligent applications, data pipelines, and integrate AI/ML models

Azure Spring Apps is a comprehensive managed service designed to enable Spring developers to concentrate on coding rather than managing infrastructure. You can deploy various types of Spring applications, such as web applications, microservices, event-driven architectures, serverless functions, and batch jobs, all without the complexity of Kubernetes. This service allows you to leverage the Azure ecosystem while still capitalizing on your current investments. Utilize Azure Monitor to gain in-depth insights into your application's dependencies and operational telemetry. You can collect metrics to create a topological overview of how services interact, along with assessing average performance and error rates. This capability makes it straightforward to pinpoint the root causes of reliability challenges and performance issues. By allowing developers to emphasize what truly matters—your applications, business logic, and providing value to your users—you can deploy any Spring or Polyglot applications seamlessly, whether from source code or artifacts, while also benefiting from support in container creation and management. Furthermore, this service simplifies the deployment process, enabling quicker iterations and fostering innovation in your development workflows.

The service is user-friendly, requiring no driver installations, and the entire migration can be set up through the management console in just a few minutes. It allows your source database to remain operational, significantly reducing the downtime for the applications that rely on it. In case of any issues, the service automatically restarts jobs, and if it cannot resume from the intended point in time, it will revert to the last completed migration stage. This service facilitates the migration of databases from various cloud platforms or local databases to Yandex's cloud-managed database services. To initiate a transfer, you simply begin the process of sending data between two specified endpoints. Each endpoint is equipped with the configurations for both the source database, from which data will be extracted, and the target database, where the data will be sent. Additionally, the Yandex Data Transfer service supports multiple types of transfers between these source and target endpoints, making it a versatile solution for database migration needs. This flexibility ensures that users can choose the most suitable transfer method for their specific requirements.

Detect and address code and optimization challenges in real-time, mitigate data incidents before deployment, and oversee data-affecting code modifications comprehensively—from the operational database to the user interface dashboard. With automated, column-level data lineage tracing the journey from the operational database to the reporting layer, every dependency is meticulously examined. Foundational automates the enforcement of data contracts by scrutinizing each repository in both upstream and downstream directions, directly from the source code. Leverage Foundational to proactively uncover code and data-related issues, prevent potential problems, and establish necessary controls and guardrails. Moreover, implementing Foundational can be achieved in mere minutes without necessitating any alterations to the existing codebase, making it an efficient solution for organizations. This streamlined setup promotes quicker response times to data governance challenges.

Seamlessly create new services and enhance your current applications using Amplication AI. Transform your concepts into operational systems in just four minutes. This AI-powered tool generates code that is ready for production, ensuring uniformity, reliability, and compliance with top-tier standards. Experience a swift transition from idea to implementation, with scalable code that is ready for deployment in minutes. Amplication AI goes beyond mere prototypes, providing fully functional and resilient backend services that are primed for launch. It streamlines your development processes, minimizes time spent, and maximizes your resources. Harness the capabilities of AI to achieve more with your existing assets. Simply enter your specifications and observe as Jovu converts them into immediately usable code components. It produces production-ready data models, APIs, authentication, authorization, event-driven architectures, and all necessary elements to get your service operational. You can also integrate architecture components and extend functionalities using the various Amplication plugins available. This allows for greater customization and adaptability in your development projects.

Introducing a unique cloud data lakehouse that is entirely managed and capable of ingesting data from all your sources within minutes, while seamlessly accommodating every query engine at scale, all at a significantly reduced cost. This platform enables ingestion from both databases and event streams at terabyte scale in near real-time, offering the ease of fully managed pipelines. Furthermore, you can execute queries using any engine, catering to diverse needs such as business intelligence, real-time analytics, and AI/ML applications. By adopting this solution, you can reduce your expenses by over 50% compared to traditional cloud data warehouses and ETL tools, thanks to straightforward usage-based pricing. Deployment is swift, taking just minutes, without the burden of engineering overhead, thanks to a fully managed and highly optimized cloud service. Consolidate your data into a single source of truth, eliminating the necessity of duplicating data across various warehouses and lakes. Select the appropriate table format for each task, benefitting from seamless interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Additionally, quickly set up managed pipelines for change data capture (CDC) and streaming ingestion, ensuring that your data architecture is both agile and efficient. This innovative approach not only streamlines your data processes but also enhances decision-making capabilities across your organization.

Achieve unparalleled security observability by leveraging insightful data from your logs. Enhance the visibility of your infrastructure while bolstering threat prevention through a flexible, multi-platform solution. With compatibility spanning over 100 operating system versions and more than 120 customizable modules, you can obtain extensive insights and strengthen your overall security posture. Significantly lower the expenses associated with your SIEM solution by effectively minimizing noisy and redundant log data. By filtering events, truncating unnecessary fields, and eliminating duplicates, you can substantially improve the quality of your logs. Unify the collection and aggregation of logs from all systems within your organization using a single, comprehensive tool. This approach simplifies the management of security-related events and accelerates both detection and response times. Additionally, empower your organization to fulfill compliance obligations by centralizing specific logs within a SIEM while archiving others for long-term retention. The NXLog Platform serves as an on-premises solution designed for streamlined log management, offering versatile processing capabilities to meet diverse needs. This powerful tool not only enhances security efficiency but also provides a streamlined approach to managing extensive log data.

Leverage your data, regardless of its location, with an open and hybrid data lakehouse designed specifically for AI and analytics. Seamlessly integrate data from various sources and formats, all accessible through a unified entry point featuring a shared metadata layer. Enhance both cost efficiency and performance by aligning specific workloads with the most suitable query engines. Accelerate the discovery of generative AI insights with integrated natural-language semantic search, eliminating the need for SQL queries. Ensure that your AI applications are built on trusted data to enhance their relevance and accuracy. Maximize the potential of all your data, wherever it exists. Combining the rapidity of a data warehouse with the adaptability of a data lake, watsonx.data is engineered to facilitate the expansion of AI and analytics capabilities throughout your organization. Select the most appropriate engines tailored to your workloads to optimize your strategy. Enjoy the flexibility to manage expenses, performance, and features with access to an array of open engines, such as Presto, Presto C++, Spark Milvus, and many others, ensuring that your tools align perfectly with your data needs. This comprehensive approach allows for innovative solutions that can drive your business forward.

A live data platform based on Change Data Capture (CDC) facilitates the replication of diverse databases, supports real-time data integration, and assists in constructing a real-time data warehouse. By implementing CDC to synchronize production line information stored in DB2 and Oracle with a modern database, TapData has empowered an AI-enhanced real-time dispatch application that streamlines the semiconductor manufacturing process. The availability of real-time data has enabled prompt decision-making within the RTD application, resulting in quicker turnaround times and increased production yield. As a major telecommunications provider, the client operates numerous regional systems designed to serve local users effectively. By consolidating and integrating data from multiple sources and locations into a single centralized data repository, the client successfully established an order center that aggregates orders from various applications. Additionally, TapData integrates inventory data from over 500 stores, delivering real-time insights into stock availability and customer preferences, thereby significantly boosting supply chain efficiency. This innovative approach not only enhances operational performance but also positions the client to respond swiftly to market demands.

XTDB is a unique SQL database that offers immutability to enhance application development and guarantee data compliance. Its automatic data history preservation feature allows for extensive time-travel queries, enabling users to execute as-of queries and audits seamlessly with SQL commands. This innovative tool is relied upon by a multitude of organizations to revolutionize their dynamic and temporal applications. Getting started with XTDB is straightforward, whether through HTTP, plain SQL, or various programming languages, as it only necessitates a client driver or Curl. Users can easily insert data in an immutable way, conduct time-based queries, and perform intricate joins. Furthermore, risk systems see direct advantages from its bitemporal modeling capabilities. By employing valid time, the database facilitates the correlation of out-of-sync trade data, simplifying compliance procedures. One of the significant challenges organizations face is the continuous change in data exposure; however, XTDB addresses this issue effectively by streamlining data exchange and enabling advanced temporal analysis. Additionally, modeling future changes in pricing, taxes, and discounts necessitates robust temporal query capabilities, which XTDB provides efficiently. Ultimately, XTDB stands out as a powerful solution for managing complex temporal data needs.

AWS Marketplace serves as a carefully organized digital platform that allows users to explore, buy, implement, and oversee third-party software, data products, and services seamlessly within the AWS environment. This marketplace offers a vast array of options spanning various categories, including security, machine learning, business applications, and DevOps tools. By featuring adaptable pricing structures like pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace makes it easier for customers to manage procurement and billing by consolidating expenses into a single AWS invoice. Additionally, it facilitates quick deployment of pre-configured software that can be easily launched on AWS infrastructure. This efficient model not only empowers businesses to spur innovation and reduce time-to-market but also enhances their ability to control software utilization and costs effectively. Ultimately, AWS Marketplace stands as an essential tool for organizations looking to optimize their software management and procurement processes.

IBM Event Automation is an entirely flexible, event-driven platform that empowers users to identify opportunities, take immediate action, automate their decision-making processes, and enhance their revenue capabilities. By utilizing Apache Flink, it allows organizations to react swiftly in real time, harnessing artificial intelligence to forecast essential business trends. This solution supports the creation of scalable applications that can adapt to changing business requirements and manage growing workloads effortlessly. It also provides self-service capabilities, accompanied by approval mechanisms, field redaction, and schema filtering, all governed by a Kafka-native event gateway through policy administration. IBM Event Automation streamlines and speeds up event management by implementing policy administration for self-service access, which facilitates the definition of controls for approval workflows, field-level redaction, and schema filtering. Various applications of this technology include analyzing transaction data, optimizing inventory levels, identifying suspicious activities, improving customer insights, and enabling predictive maintenance. This comprehensive approach ensures that businesses can navigate complex environments with agility and precision.

Nutanix's Karbon Platform Services (KPS) is a multicloud Platform-as-a-Service (PaaS) built on Kubernetes, aimed at expediting the creation and deployment of applications that are based on microservices across various cloud environments. The platform boasts an extensive array of managed services, such as Container-as-a-Service for Kubernetes applications, Functions-as-a-Service for serverless functions, global data pipelines, and streaming services including Kafka-aaS and NATS-aaS. It also provides AI services like Tensorflow-aaS and Openvino-aaS, along with ingress controllers and service mesh solutions (nginx/traefik-aaS and Istio-aaS), application monitoring and alerting through Prometheus-aaS, and log forwarding capabilities. KPS streamlines multicloud operations with a SaaS model that enhances operational efficiency and ensures consistent management of applications, data, and security across different cloud platforms. This allows developers the convenience of writing their applications a single time and deploying them seamlessly across any cloud environment, simplifying the entire application lifecycle. Furthermore, KPS empowers organizations to focus on innovation while minimizing the complexity of cloud management.

Orchestra serves as a Comprehensive Control Platform for Data and AI Operations, aimed at empowering data teams to effortlessly create, deploy, and oversee workflows. This platform provides a declarative approach that merges coding with a graphical interface, enabling users to develop workflows at a tenfold speed while cutting maintenance efforts by half. Through its real-time metadata aggregation capabilities, Orchestra ensures complete data observability, facilitating proactive alerts and swift recovery from any pipeline issues. It smoothly integrates with a variety of tools such as dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and others, ensuring it fits well within existing data infrastructures. With a modular design that accommodates AWS, Azure, and GCP, Orchestra proves to be a flexible option for businesses and growing organizations looking to optimize their data processes and foster confidence in their AI ventures. Additionally, its user-friendly interface and robust connectivity options make it an essential asset for organizations striving to harness the full potential of their data ecosystems.