Business Software for Google Cloud Pub/Sub

Utilihive, a cloud-native big-data integration platform, is offered as a managed (SaaS) service. Utilihive, the most popular Enterprise-iPaaS (iPaaS), is specifically designed for utility and energy usage scenarios. Utilihive offers both the technical infrastructure platform (connectivity and integration, data ingestion and data lake management) and preconfigured integration content or accelerators. (connectors and data flows, orchestrations and utility data model, energy services, monitoring and reporting dashboards). This allows for faster delivery of data-driven services and simplifies operations.

Knative, initially developed by Google and supported by contributions from more than 50 companies, provides a vital suite of components for creating and operating serverless applications on Kubernetes. It includes capabilities such as scale-to-zero, autoscaling, in-cluster builds, and a robust eventing framework tailored for cloud-native environments. Knative effectively standardizes best practices gleaned from successful Kubernetes-based frameworks, whether deployed on-premises, in the cloud, or within third-party data centers. This platform empowers developers, allowing them to concentrate on writing code and innovating without getting bogged down by the challenging yet mundane aspects of application development, deployment, and management. Additionally, Knative's design fosters a more efficient development process, making it easier to integrate and utilize modern technologies.

Google Cloud Source Repositories provides a centralized platform for teams to store, manage, and monitor their code effectively. It's more than just a private Git repository; it allows for the design, development, and secure management of your code. Teams can collaborate seamlessly within a fully featured, scalable, and private Git environment. Additionally, you can enhance your Git workflow by integrating with various Google Cloud services, such as Cloud Build, App Engine, Pub/Sub, along with operational tools like Cloud Monitoring and Cloud Logging. With a robust code search capability, you can utilize advanced regular expressions to conduct searches across multiple directories, providing the ability to narrow down your inquiries or execute focused searches across various projects, files, and repositories. To boost developer efficiency, you'll receive prompt feedback on code modifications thanks to the built-in continuous integration features. Setting up automated triggers to build and test your changes using Cloud Build is straightforward when you push updates to Cloud Source Repositories, streamlining the development process even further. This comprehensive approach not only enhances collaboration but also ensures a more efficient workflow for development teams.

Managed Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.

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.

Save your security teams from drowning in noise and hassle! With Abstract, they can focus on what truly matters without worrying about vendor lock-ins, SIEM migration costs or compromise on speed of access over storage! Abstract Security is an AI driven security data management platform that streamlines your data operations with noise reduction, AI based normalization and advanced threat analytics performed on live streaming data so you can analyze insights before routing it to any storage destination.

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.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

Our industry-leading, comprehensive solution accommodates any master data domain, implementation method, and use case, whether in the cloud or on-premises. It seamlessly integrates top-tier data integration, data quality, business process management, and data privacy features. Address intricate challenges directly with reliable insights into essential master data. Automatically establish connections between master, transactional, and interaction data across various domains. Enhance the precision of data records through verification services and enrichment for both B2B and B2C contexts. Effortlessly update numerous master data records, dynamic data models, and collaborative workflows with a single click. Streamline maintenance costs and accelerate deployment through AI-driven match tuning and rule suggestions. Boost productivity by utilizing search functions along with pre-configured, detailed charts and dashboards. In doing so, you can generate high-quality data that significantly enhances business outcomes by providing trusted and pertinent information. This multifaceted approach ensures that organizations can make data-driven decisions with confidence.

Achieve limitless data retention for Apache Kafka® with Confluent, empowering you to be infrastructure-enabled rather than constrained by outdated systems. Traditional technologies often force a choice between real-time processing and scalability, but event streaming allows you to harness both advantages simultaneously, paving the way for innovation and success. Have you ever considered how your rideshare application effortlessly analyzes vast datasets from various sources to provide real-time estimated arrival times? Or how your credit card provider monitors millions of transactions worldwide, promptly alerting users to potential fraud? The key to these capabilities lies in event streaming. Transition to microservices and facilitate your hybrid approach with a reliable connection to the cloud. Eliminate silos to ensure compliance and enjoy continuous, real-time event delivery. The possibilities truly are limitless, and the potential for growth is unprecedented.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

Achieve seamless and secure access to your cloud infrastructure without the need for passwords. Experience passwordless authentication for major cloud platforms and a multitude of cloud resources, as we integrate smoothly with AWS, GCP, Azure, and various other cloud-native tools. Prevent overprivileged access by implementing just-in-time access specifically for developers. DevOps professionals can easily request access to cloud resources with a 'just enough privileges' approach, ensuring they have time-limited permissions. This setup helps to eliminate the productivity issues that arise from relying on a centralized administrator. You can configure approval policies tailored to different criteria, and you'll have the ability to view a comprehensive catalog of both granted and unaccessed resources. Mitigate the risks of credential sprawl and the anxiety surrounding credential theft. Developers are empowered to gain passwordless access to cloud resources using advanced Trusted Platform Module (TPM) technology. Additionally, you can uncover potential vulnerabilities today with our complimentary assessment tool, gaining insights into how Procyon can effectively address these issues in a matter of hours. By leveraging TPM, you can ensure strong identification of both users and their devices, thus enhancing overall security. This innovative approach not only streamlines access but also fortifies your cloud security posture significantly.

Software for modern sales teams that automates commissions. Automate any commission plan. The easy-to-use design tool for sales incentive plans allows you to automate any sales commission structure. Welcome to the world transparent sales commission plans that are updated with real-time sync. Are you looking for custom fields in your CRM? No problem. Complex workflow with multiple logical conditions. You can walk in the park. All thanks to the intuitive sales incentive plan creator at your disposal. All the tools you use in one touch. CRMs, Invoicing, Accounting, Prospecting, Payroll, etc. A powerful commission tracking software allows you to design highly nuanced sales incentives plans. You can set up automated workflows for commission approval, tracking, and payment. They will run like clockwork. Just a few clicks and you can make any changes.

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.

Select either an inbound assistant that responds to events, such as new lead submissions, or an outbound assistant that operates on a predetermined schedule. Integrate your assistant with our various tools and specify the features you want. Your AI phone assistant will be ready to make and receive calls in no time. You can create as many assistants as you wish, easily implementing your workflows and having everything set up in under two minutes. Each phone agent comes equipped with a customized knowledge base and tools specifically designed to meet your individual requirements. Say goodbye to lengthy training periods for representatives. Enjoy the flexibility of complete customization, from choosing different voices and defining prompts to selecting specific language models. Our phone agents are operational 24/7/365, efficiently managing both incoming and outgoing calls. Callers also have the option to request a transfer to a human representative at any point during their conversation. Additionally, every call is recorded by default (unless you choose otherwise), enabling you to revisit and assess any interaction at your convenience. This ensures that you maintain a high standard of service and customer satisfaction.

Salesforce Data 360 is a real-time enterprise data engine designed to transform disconnected data into actionable intelligence. It unifies customer and operational data from multiple systems into a comprehensive business view. Using Zero-Copy architecture, organizations can activate live data directly from their existing warehouses without duplication. The platform supports both structured and unstructured data, including text, images, and streaming events. Identity resolution and data harmonization tools create consistent, reliable customer profiles. Governance features enforce privacy policies and compliance rules automatically. Data 360 enables dynamic audience segmentation and predictive modeling for smarter decision-making. Teams can trigger automated workflows based on real-time data changes. Insights can be shared securely with marketing platforms, analytics tools, and data warehouses. Data 360 empowers enterprises to activate trusted data across every channel and department.

In today's fast-paced market, capturing customer attention is increasingly challenging, forcing marketing and customer experience (CX) leaders to drive growth while managing limited time and resources. Pendula harnesses the vast capabilities of generative AI to equip teams with the tools necessary to foster adaptive and impactful two-way customer interactions, ultimately inspiring, engaging, and retaining customers on a larger scale. Positioned as a central figure in the dialogue between businesses and their clientele worldwide, Pendula offers intuitive drag-and-drop features that enable teams to maximize their productivity. By facilitating intelligent action based on real-time data, Pendula activates your entire data ecosystem, making it a cornerstone of next-generation customer engagement and retention strategies. Through its innovative workflow studio, the only constraints are those of your imagination, allowing users to select data sources that highlight crucial moments for their customers, thus enhancing the overall experience. This approach not only streamlines communication but also cultivates deeper relationships between brands and their audiences.

Equinix Smart View serves as a comprehensive Data Center Infrastructure Management (DCIM) software platform, designed to facilitate real-time monitoring of your International Business Exchange data center environment within the Platform Equinix ecosystem. This tool allows for immediate access to crucial data tailored to your specific Equinix setup at various levels, including local zones, cages, and cabinets, enabling swift responses to significant events and empowering proactive planning through customizable reports and alerts. The platform excels in business integration, offering versatile APIs that operate over both public and private cloud channels, which streamlines the process of accessing and overseeing operations across your colocated sites. Among its essential features are detailed power draw data specific to trended AC circuits, nearly instantaneous temperature and humidity tracking, customizable system alerts, integrated REST and streaming APIs, tailored and scheduled reporting capabilities, and permissions that can be adjusted across the organization. By utilizing these features, users can enhance their operational efficiency and ensure a robust infrastructure management strategy.

Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.

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.

Excel and Google Sheets are often delicate and susceptible to mistakes, leading to collaboration that frequently requires tedious and repetitive tasks. Files that hold significant information can break unexpectedly, frequently without anyone noticing, resulting in decisions based on inaccurate data. Highly compensated employees end up wasting countless hours on monotonous tasks, while workflows necessitate constant manual oversight, draining essential cognitive resources. You can selectively share portions of your file, whether that be specific cell ranges or entire sheets. With Layer, you can offload all these repetitive tasks efficiently. Every change is clearly marked for you, eliminating the need to search for updates. You will have access to a comprehensive record of modifications, spreadsheet iterations, and all communications. We are transforming the way teams collaborate on spreadsheets by adding a productivity layer to both Excel and Google Sheets. In truth, we have grown weary of the conventional perks that businesses provide today, as they often fall short of addressing the real challenges faced in collaborative work environments. By focusing on enhancing efficiency and reducing errors, we aim to redefine how teams interact with data.