Business Software for Google Cloud Storage

LOGIQ.AI's LogFlow offers a unified management system for your observability data pipelines. As data streams are received, they are efficiently categorized and optimized to serve the needs of your business teams and knowledge workers. XOps teams can streamline their data flow management, enhancing data EPS control while also improving the quality and relevance of the data. LogFlow’s InstaStore, built on any object storage solution, provides limitless data retention and allows for on-demand data playback to any observability platform you prefer. This enables the analysis of operational metrics across various applications and infrastructure, yielding actionable insights that empower you to scale confidently while ensuring consistent high availability. By collecting, transforming, and analyzing behavioral data and usage trends from business systems, you can enhance business decisions and improve user experiences. Furthermore, in an ever-evolving threat landscape, it's essential to stay ahead; with LogFlow, you can identify and analyze threat patterns coming from diverse sources, automating both threat prevention and remediation processes effectively. This proactive approach not only strengthens security but also fosters a resilient operational environment.

Analyzing time-series data is crucial for the daily functions of numerous businesses. Common applications involve assessing consumer foot traffic and conversion rates for retailers, identifying anomalies in data, discovering real-time correlations within sensor information, and producing accurate recommendations. With the Cloud Inference API Alpha, businesses can derive real-time insights from their time-series datasets that they input. This tool provides comprehensive details about API query results, including the various groups of events analyzed, the total number of event groups, and the baseline probability associated with each event returned. It enables real-time streaming of data, facilitating the computation of correlations as events occur. Leveraging Google Cloud’s robust infrastructure and a comprehensive security strategy that has been fine-tuned over 15 years through various consumer applications ensures reliability. The Cloud Inference API is seamlessly integrated with Google Cloud Storage services, enhancing its functionality and user experience. This integration allows for more efficient data handling and analysis, positioning businesses to make informed decisions faster.

Transform the way your workforce engages with data from historians, SCADA, and IoT devices, tailoring insights for everyone from field personnel to data analysts. Dive into your data like never before with a comprehensive platform that allows for integration, organization, collaboration, and visualization of industrial information all in one place. Effortlessly navigate and visualize numerous data signals simultaneously while maintaining clarity and performance through our innovative streaming data timeline technology. Initiate discussions or report incidents by tagging team members directly within the data timeline, enhancing communication and context by including media such as images and videos. Access historical activities to prevent redundant problem-solving, ensuring efficiency in your operations. Our robust permission system guarantees that your data remains accessible solely to you, while developer-friendly documentation and secure APIs facilitate safe and straightforward interactions. Whether you are at your desk, on a tablet, or using a mobile phone, our platform is optimized for all modern browsers, and you can also carry industrial data with you wherever you go through our dedicated mobile applications. This approach not only streamlines operations but also fosters a culture of continuous learning and collaboration among your teams.

Craft personalized monitoring solutions for your machine learning models using our incredibly intuitive monitor builder, which alerts you to problems such as concept drift, declines in model performance, and bias, among other issues. Aporia effortlessly integrates with any machine learning infrastructure, whether you're utilizing a FastAPI server on Kubernetes, an open-source deployment solution like MLFlow, or a comprehensive machine learning platform such as AWS Sagemaker. Dive into specific data segments to meticulously observe your model's behavior. Detect unforeseen bias, suboptimal performance, drifting features, and issues related to data integrity. When challenges arise with your ML models in a production environment, having the right tools at your disposal is essential for swiftly identifying the root cause. Additionally, expand your capabilities beyond standard model monitoring with our investigation toolbox, which allows for an in-depth analysis of model performance, specific data segments, statistics, and distributions, ensuring you maintain optimal model functionality and integrity.

With Osmos, customers can effortlessly tidy up their disorganized data files and seamlessly upload them into their operational systems without the need for any coding. Central to our service is an AI-driven data transformation engine, which allows users to quickly map, validate, and clean their data with just a few clicks. When a plan is changed, your account will be adjusted in accordance with the proportion of the billing cycle remaining. For instance, an eCommerce business can streamline the ingestion of product catalog data sourced from various distributors and vendors directly into their database. Similarly, a manufacturing firm can automate the extraction of purchase orders from email attachments into their Netsuite system. This solution enables users to automatically clean and reformat incoming data to align with their target schema effortlessly. By using Osmos, you can finally say goodbye to the hassle of dealing with custom scripts and cumbersome spreadsheets. Our platform is designed to enhance efficiency and accuracy, ensuring that your data management processes are smooth and reliable.

Detecting anomalies in time series data is critical for the daily functions of numerous organizations. The Timeseries Insights API Preview enables you to extract real-time insights from your time-series datasets effectively. It provides comprehensive information necessary for interpreting your API query results, including details on anomaly occurrences, projected value ranges, and segments of analyzed events. This capability allows for the real-time streaming of data, facilitating the identification of anomalies as they occur. With over 15 years of innovation in security through widely-used consumer applications like Gmail and Search, Google Cloud offers a robust end-to-end infrastructure and a layered security approach. The Timeseries Insights API is seamlessly integrated with other Google Cloud Storage services, ensuring a uniform access method across various storage solutions. You can analyze trends and anomalies across multiple event dimensions and manage datasets that encompass tens of billions of events. Additionally, the system is capable of executing thousands of queries every second, making it a powerful tool for real-time data analysis and decision-making. Such capabilities are invaluable for businesses aiming to enhance their operational efficiency and responsiveness.

The managed features of Cloud Composer, along with its compatibility with Apache Airflow, enable you to concentrate on crafting, scheduling, and overseeing your workflows rather than worrying about resource provisioning. Its seamless integration with various Google Cloud products such as BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform empowers users to orchestrate their data pipelines effectively. You can manage your workflows from a single orchestration tool, regardless of whether your pipeline operates on-premises, in multiple clouds, or entirely within Google Cloud. This solution simplifies your transition to the cloud and supports a hybrid data environment by allowing you to orchestrate workflows that span both on-premises setups and the public cloud. By creating workflows that interconnect data, processing, and services across different cloud platforms, you can establish a cohesive data ecosystem that enhances efficiency and collaboration. Additionally, this unified approach not only streamlines operations but also optimizes resource utilization across various environments.

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.

All-in-one platform to connect your APIs and services in the most efficient way. Allow busy developers to create complex integrations that no-code tools can't solve. JavaScript is a powerful tool that allows you to create more code in a shorter time. Audit code changes, audit credentials creation, use, and check execution logs. Open data streams, transactions and caches, errors management, logging support, multiple environments support, and reused functions can all be used. Execute tasks on demand, using a schedule approach or a webhook. Integration in your systems infrastructure is as easy as possible in a matter of minutes. JS modules allow you to reuse your business logic. They include a friendly editor, powerful integrations and libraries, as well as a friendly source code editor. Kubernetes can be deployed on-premise. External identity providers and enhanced auditing and logging. You can write your scripts from a web browser and then run them in the YepCode cloud.

Build trust and loyalty with your customers by showcasing your deep understanding of their needs and preferences. Google has dedicated years to providing tailored content through its major platforms, including Google Ads, Google Search, and YouTube. Leveraging this extensive experience, Recommendations AI utilizes advanced machine learning techniques to offer personalized suggestions that align with each customer’s unique tastes across all interaction points. Enhance your customers' experience by giving them more of what they cherish. There's no need for you to preprocess data, conduct training, adjust machine learning models, manage load balancing, or manually set up infrastructure for unexpected traffic surges; we handle all of that seamlessly for you. Take full advantage of Google's leading expertise in crafting recommendations, which is supported by cutting-edge machine learning models. These models can effectively adjust for bias and seasonal trends while performing exceptionally well with niche products or new users and items. You can easily integrate your data, oversee model performance, deliver recommendations, and keep track of results, ensuring a smooth operation that enhances customer satisfaction. This enables you to focus on what truly matters—building stronger relationships with your customers.

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.

As data undergoes reconstruction for cloud environments, the concept of identity has evolved, now encompassing not just individuals but also service accounts and principals. In this context, authorization emerges as the most genuine representation of identity. The complexities of a multi-cloud landscape necessitate an innovative and adaptable strategy to safeguard enterprise data effectively. Veza stands out by providing a holistic perspective on authorization throughout the entire identity-to-data spectrum. It operates as a cloud-native, agentless solution, ensuring that your data remains safe and accessible without introducing any additional risks. With Veza, managing authorization within your comprehensive cloud ecosystem becomes a streamlined process, empowering users to share data securely. Additionally, Veza is designed to support essential systems from the outset, including unstructured and structured data systems, data lakes, cloud IAM, and applications, while also allowing the integration of custom applications through its Open Authorization API. This flexibility not only enhances security but also fosters a collaborative environment where data can be shared efficiently across different platforms.

Enhance your annotation process with CVAT, the premier data engine for machine learning that is relied upon by teams of all sizes and for datasets of any magnitude. Featuring a lightning-fast and user-friendly interface crafted in collaboration with actual teams tackling real-world challenges, CVAT is the go-to choice for ambitious AI innovators across diverse sectors, including healthcare, retail, and autonomous driving. Each day, leading AI teams integrate CVAT into their workflows, ensuring their projects run smoothly regardless of the nature of the input data or the outcomes they aim to achieve. CVAT excels with a variety of formats such as images, videos, and 3D models, offering a wide array of annotation tools including bounding boxes, polygons, points, skeletons, cuboids, and trajectories. Boost your productivity with advanced interactive algorithms like intelligent scissors and histogram equalization, designed to streamline the annotation experience. Additionally, CVAT provides valuable metrics such as annotator working hours and objects annotated per hour, enabling teams to optimize their efforts and achieve better results. With its comprehensive features and flexibility, CVAT stands out as an essential asset for any AI-driven project.

Introducing the ultimate data annotation tool that offers unparalleled flexibility and ease of installation. Users can create customized user interfaces or opt for ready-made labeling templates tailored to their specific needs. The adaptable layouts and templates seamlessly integrate with your dataset and workflow requirements. It supports various object detection methods in images, including boxes, polygons, circles, and key points, and allows for the segmentation of images into numerous parts. Additionally, machine learning models can be utilized to pre-label data and enhance efficiency throughout the annotation process. Features such as webhooks, a Python SDK, and an API enable users to authenticate, initiate projects, import tasks, and manage model predictions effortlessly. Save valuable time by leveraging predictions to streamline your labeling tasks, thanks to the integration with ML backends. Furthermore, users can connect to cloud object storage solutions like S3 and GCP to label data directly in the cloud. The Data Manager equips you with advanced filtering options to effectively prepare and oversee your dataset. This platform accommodates multiple projects, diverse use cases, and various data types, all in one convenient space. By simply typing in the configuration, you can instantly preview the labeling interface. Live serialization updates at the bottom of the page provide a real-time view of what Label Studio anticipates as input, ensuring a smooth user experience. This tool not only improves annotation accuracy but also fosters collaboration among teams working on similar projects.

Scispot delivers a powerful lab informatics platform that transforms how life science labs operate. Through its configurable LabOS™ ecosystem, teams can select from a unified suite of tools covering ELN, LIMS, SDMS, QMS, and AI capabilities—all accessible through an intuitive no-code interface. Purpose-built for CROs, Diagnostic Labs, and Biotech R&D teams, Scispot addresses critical challenges in Sample Management, Freezer Management, and GxP Compliance. The platform seamlessly connects with 200+ lab instruments and 7,000+ applications, eliminating manual data entry while ensuring regulatory adherence. Scispot's AI-powered analytics convert experimental data into actionable insights, accelerating discovery timelines. With rapid implementation and a focus on user experience, Scispot enables 1000+ lab scientists and operators to standardize processes, maintain compliance, and focus resources on innovation rather than administrative overhead.

Consolidate information from over 100 sources to empower your team to provide enhanced insights swiftly. Integrate data from any data warehouse into the business tools preferred by your teams. Optimize your data operations efficiently through a singular platform uniquely designed to fulfill all the needs of your data teams, potentially reducing your expenses by as much as 75%. If you're looking to avoid the complexities of managing a data warehouse, our platform is the sole solution that provides an integrated managed data warehouse tailored to address all your data management requirements. Choose from an expanding collection of more than 100 fully managed connectors and over 20 destinations, including SaaS applications, databases, data warehouses, and beyond. Enjoy complete and secure control over the specific data you wish to transfer, while scheduling and transforming your data for analytics effortlessly, ensuring it remains in sync with your operational pipelines. Our platform not only simplifies data management but also enhances collaboration across teams, making it a valuable asset for any organization.

Gazelle stands out as the sole data platform focused on pinpointing emerging businesses, allowing organizations to prioritize leads with the highest purchasing potential. With a robust B2B database comprising more than 9.8 million company profiles, it encompasses global hierarchies and features 1.3 million growth firms that are both AI-generated and human-curated, spanning over 910 industry sectors. Gazelle supplies real-time data and crucial growth indicators while its AI technology assesses companies based on their growth potential, providing users with a customized list of prime prospects. Furthermore, the platform offers comprehensive global supply chain data, heat maps, and insights into untapped markets to uncover potential opportunities. It includes detailed information on importers, exporters, and multinational corporations, alongside exclusive insights verified by human experts regarding expansion initiatives. Additionally, with over 15 million monthly refreshed verified contacts, Gazelle empowers businesses to gain a significant advantage during conferences and trade shows by helping them identify influential decision-makers and foster economic growth. This unique combination of features positions Gazelle as an indispensable resource for companies seeking to thrive in competitive environments.

A user-friendly, serverless service for change data capture and replication that provides access to streaming data from a variety of databases including MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle. This solution enables near real-time analytics in BigQuery, allowing for quick insights and decision-making. With a straightforward setup that includes built-in secure connectivity, organizations can achieve faster time-to-value. The platform is designed to scale automatically, eliminating the need for resource provisioning or management. Utilizing a log-based mechanism, it minimizes the load and potential disruptions on source databases, ensuring smooth operation. This service allows for reliable data synchronization across diverse databases, storage systems, and applications, while keeping latency low and reducing any negative impact on source performance. Organizations can quickly activate the service, enjoying the benefits of a scalable solution with no infrastructure overhead. Additionally, it facilitates seamless data integration across the organization, leveraging the power of Google Cloud services such as BigQuery, Spanner, Dataflow, and Data Fusion, thus enhancing overall operational efficiency and data accessibility. This comprehensive approach not only streamlines data processes but also empowers teams to make informed decisions based on timely data insights.

Consolidate customer information from various sources into one enduring customer ID. Provide cross-departmental teams with machine learning insights that facilitate large-scale 1:1 segmentation. Transform your marketing approaches and enhance customer experiences through centralized data that generates meaningful insights. Leverage behavioral data to create fluid interactions across different channels. A clearer view of customer data enhances personalization, sharpening focus on your marketing strategies and decision-making processes. Grant your entire organization access to universal data, enabling thorough analyses at both individual and aggregate levels. Implement predictive modeling to develop tailored content informed by behavioral insights. Employ persona models to categorize customers into segments based on an extensive range of variables. Utilize recommendation algorithms to identify the optimal next steps for both customer segments and individual clients, thereby driving more effective engagement strategies. Ultimately, this comprehensive approach to customer data will foster deeper relationships and improve overall customer satisfaction.

Rapidly establish cloud environments tailored for spontaneous development, testing, and enhanced productivity for IT and business personnel. Mitigate the risks and expenses associated with managing your data lake by adopting robust data governance practices that include comprehensive end-to-end data lineage for business users. Achieve greater cost efficiency by providing clean, reliable, and timely data for your data lakes, data warehouses, or big data initiatives, while also consolidating applications and phasing out legacy databases. Benefit from automatic schema propagation to accelerate job creation, implement type-ahead search features, and maintain backward compatibility, all while following a design that allows for execution across varied platforms. Develop data integration workflows and enforce governance and quality standards through an intuitive design that identifies and recommends usage trends, thus enhancing user experience. Furthermore, boost visibility and information governance by facilitating complete and authoritative insights into data, backed by proof of lineage and quality, ensuring that stakeholders can make informed decisions based on accurate information. With these strategies in place, organizations can foster a more agile and data-driven culture.

Bright Analytics offers a versatile analytics platform featuring integrated solutions for data acquisition, preparation, analysis, and sharing. We collaborate closely with our clients to develop an analytics stack that is both customizable and scalable. Whether you're seeking a comprehensive end-to-end solution or tools to streamline and manage your data, our expertise can assist you. Recognizing the significance of effective support, we ensure that Bright Analytics unifies all necessary data sources within a single, cohesive platform. We appreciate that every business has its own unique requirements, which is why we avoid enforcing rigid templates; our platform can seamlessly connect to an unlimited variety of data sources, allowing you to incorporate them into your reports or combine them in custom calculated metrics. Furthermore, Bright Analytics meticulously organizes and prepares all your data sources to generate a comprehensive data set tailored specifically to address your business objectives while enhancing decision-making processes.

Can you store data in the cloud to protect it? Can you automatically archive non-critical data to cloud storage? Can Disaster Recovery be triggered quickly and easily? You can now evoke Disaster Recovery quickly and on demand if everything is designed with the user in view. Data Protection is the future.

The pioneering integration of 'in-line' edge detection alongside swift ransomware recovery capabilities instills confidence in IT professionals to effectively counter cyber threats. Nasuni is revolutionizing the file storage sector through its cloud-centric model, which supplants conventional on-premises primary and secondary storage solutions. By utilizing object storage technology, Nasuni offers a file storage platform that is not only simpler and more cost-effective but also more efficient as a SaaS offering that adapts seamlessly to the rapid growth of unstructured data. This innovative solution allows for cloud file storage across countless locations from a unified console, ensuring on-demand capacity when and where it is required, all while incorporating inherent backup and disaster recovery features. Designed to support cloud, hybrid cloud, and traditional on-premises setups, Nasuni consolidates various data silos and toolsets into a singular global file system that provides a comprehensive overview of your file data while being straightforward to deploy and manage. Ultimately, this approach empowers organizations to streamline their file storage processes, enhancing overall operational efficiency.

Build, test and optimize Generative AI apps that unlock the value in your data. Our industry-leading ML expertise, our state-of-the art test and evaluation platform and advanced retrieval augmented-generation (RAG) pipelines will help you optimize LLM performance to meet your domain-specific needs. We provide an end-toend solution that manages the entire ML Lifecycle. We combine cutting-edge technology with operational excellence to help teams develop high-quality datasets, because better data leads better AI.