Business Software for Google Cloud Storage

Digibee is an AI-enhanced integration platform that simplifies workflows, accelerates projects, and reduces costs for enterprises operating at scale. Built to handle complexity without burdening your teams, Digibee brings together integration, automation, AI agent building, and enterprise connectivity in a single, unified platform. With Digibee, organizations can connect apps, data, and systems; orchestrate multi-step business workflows; deploy AI agents with enterprise-grade governance; and expose integrations and workflows as APIs — all without leaving legacy systems behind. Key Features: - Low-code, developer-friendly UI — design, test, and debug in one intuitive environment with AI pair programming built in - Reusable workflow libraries — build once and reuse across projects to eliminate repetitive work - Built-in observability — every integration ships ready for monitoring, no DIY stack required - Serverless & elastic — scales up to handle traffic spikes and down to zero during quiet periods - Consumption-based pricing — simple, transparent pricing with no complicated add-ons - Enterprise-grade security — SOC 2 Type II certified with Zero Trust architecture and 24/7 monitoring Digibee connects to the applications that run your business, including SAP, Salesforce, Workday, ServiceNow, Kafka, MongoDB, HubSpot, MS Dynamics, and many more. It serves industries including financial services, manufacturing, logistics, retail, insurance, and hospitality. Every subscription includes onboarding, 24/7 rapid response support, self-paced learning via Digibee Academy, and access to a professional services team.

Ternary stands out as the first native FinOps tool designed specifically for optimizing cloud costs within Google Cloud. It empowers users to make informed financial choices, ensuring a culture of accountability, collaboration, and trust between finance and engineering departments. FinOps serves as a framework for overseeing the fluctuating expenses associated with cloud services, incorporating a blend of systems, best practices, and cultural shifts that maximize the value derived from every dollar allocated to the cloud. Ternary is equipped to assist organizations at any phase of their FinOps journey, developing tools that bridge the gap between finance and engineering through features rooted in FinOps principles. This innovative platform provides essential visibility and context, fostering collaboration between teams, while its workflows are designed to promote accountability. By enabling organizations to easily monitor, prioritize, and track cost optimizations to completion, Ternary enhances overall financial management efficiency across the board. As businesses increasingly rely on cloud solutions, Ternary’s role in facilitating effective financial practices becomes ever more critical.

The StorCentric Data Mobility Suite (DMS) is a comprehensive software solution designed to facilitate the effortless transfer of data to its appropriate locations. This cloud-enabled platform provides robust support for data migration, replication, and synchronization across diverse environments such as disk, tape, and cloud, helping organizations maximize their return on investment by breaking down data silos. With its vendor-agnostic capabilities, DMS allows for easy management and deployment on standard servers. It has the capacity to handle the simultaneous transfer of millions of files while ensuring the security of data in transit through SSL encryption. By simplifying point-to-point data movement, DMS addresses the flow requirements across various storage platforms effectively. Furthermore, its detailed filtering options and continuous incremental updates help overcome the complexities associated with consolidating data in mixed environments. The suite also allows for the synchronization of files across different storage repositories, including both tape and disk, ensuring that organizations can manage their data efficiently and effectively. Ultimately, DMS enhances overall data management strategies, making it an essential tool for modern enterprises.

Organizations frequently struggle to navigate the swift expansion and accessibility of numerous on-premise and cloud storage solutions within their operations. This often leads to a convoluted environment that is increasingly hard to secure and frequently incurs high costs due to vendor lock-in. Many outdated systems are haphazardly combined, and the hidden expenses associated with vendor lock-in can be substantial. Efficiently and securely utilizing public cloud resources presents its own challenges. A customer-hosted global scale-out software platform exists that empowers enterprises to integrate, safeguard, and bring together multiple on-prem and in-cloud storage providers. It provides a seamless experience through unified virtual namespaces and standard APIs available to enterprise users around the globe. By implementing StorageFabric, organizations can break free from costly vendor dependencies and the intricacies of integration while addressing the significant security risks associated with cloud computing. In addition, StorageFabric serves as a high-performance, low-friction data layer designed to unify, protect, migrate, and commoditize various storage solutions effectively. This innovative approach not only simplifies management but also enhances overall data accessibility and security across the enterprise landscape.

Experience the power of advanced computing right at your fingertips. With the capabilities of parallel computing and innovative algorithms, there's no reason to hesitate any longer. Created specifically for data scientists in the business realm, this all-inclusive time-series platform delivers the fastest computing available. Shapelets offers a suite of analytical tools, including causality analysis, discord detection, motif discovery, forecasting, and clustering, among others. You can also run, expand, and incorporate your own algorithms into the Shapelets platform, maximizing the potential of Big Data analysis. Seamlessly integrating with various data collection and storage systems, Shapelets ensures compatibility with MS Office and other visualization tools, making it easy to share insights without requiring extensive technical knowledge. Our user interface collaborates with the server to provide interactive visualizations, allowing you to fully leverage your metadata and display it through a variety of modern graphical representations. Additionally, Shapelets equips professionals in the oil, gas, and energy sectors to conduct real-time analyses of their operational data, enhancing decision-making and operational efficiency. By utilizing Shapelets, you can transform complex data into actionable insights.

Kopia features a robust and adaptable architecture, enabling it to back up a wide range of devices, from small laptops to extensive server systems. As a fast and secure open-source tool for backup and restoration, Kopia efficiently manages filesystem snapshots stored in a remote location. It uploads files and directories to a designated remote storage known as a Repository, while also keeping a historical record of snapshots at various points in time, all governed by user-defined policies. Each snapshot is generated incrementally, ensuring that data already captured in previous snapshots is not re-uploaded to the repository, thus optimizing storage efficiency. In fact, when files are moved or renamed, Kopia adeptly identifies that they contain the same data, eliminating the need for redundant uploads. Furthermore, multiple users or devices can access the same repository, ensuring that shared files are only uploaded once, conserving bandwidth and storage resources. For data restoration, Kopia allows users to mount the Repository's contents as a local disk, facilitating the use of standard file copy tools for either complete or selective restoration of data, making the process user-friendly and efficient. This unique approach to backup and restoration emphasizes both efficiency and ease of use across diverse computing environments.

Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom Pipeline Alerts to Monitor Data in Real-Time

Meltano offers unparalleled flexibility in how you can deploy your data solutions. Take complete ownership of your data infrastructure from start to finish. With an extensive library of over 300 connectors that have been successfully operating in production for several years, you have a wealth of options at your fingertips. You can execute workflows in separate environments, perform comprehensive end-to-end tests, and maintain version control over all your components. The open-source nature of Meltano empowers you to create the ideal data setup tailored to your needs. By defining your entire project as code, you can work collaboratively with your team with confidence. The Meltano CLI streamlines the project creation process, enabling quick setup for data replication. Specifically optimized for managing transformations, Meltano is the ideal platform for running dbt. Your entire data stack is encapsulated within your project, simplifying the production deployment process. Furthermore, you can validate any changes made in the development phase before progressing to continuous integration, and subsequently to staging, prior to final deployment in production. This structured approach ensures a smooth transition through each stage of your data pipeline.

Access customer information seamlessly from your app database, data warehouses, spreadsheets, or various APIs without the need for coding. Experience a real-time overview of essential customer data directly within platforms like Salesforce, Marketo, HubSpot, and other business systems. Effortlessly consolidate data from multiple sources—be it databases, data warehouses, spreadsheets, or APIs—automatically. You can select specific fields for synchronization, ensuring you receive only the most relevant data. With just a click, integrate your preferred tools into the workflow. Utilize a simple point-and-click interface to transfer necessary data from your databases and spreadsheets to your business applications. This setup empowers your customer success and sales teams by providing them with a comprehensive view of customer data directly within their sales CRM. Benefit from automatic synchronization of information across data warehouses and databases to all your business systems and spreadsheets. Additionally, enjoy the convenience of having all proprietary user and company attributes automatically updated in your CRM. Your support team will also gain immediate access to the vital customer data they require directly from their support system, enhancing overall efficiency and collaboration.

Theom is an advanced cloud data security solution designed to uncover and safeguard all types of data found in cloud storage, APIs, and message queues. Much like a vigilant bodyguard dedicated to protecting valuable assets, Theom ensures that security measures are consistently applied to data, regardless of its storage or access method. By utilizing agentless scanning and natural language processing classifiers, Theom effectively identifies personally identifiable information (PII), protected health information (PHI), financial data, and trade secrets, while accommodating customized taxonomies. Additionally, it reveals dark data—information that remains unused—and shadow data, which has a different security posture compared to its primary version. Theom excels in locating sensitive information, such as developer keys, within APIs and message queues. To assist organizations in prioritizing threats, Theom also assesses the financial impact of data. Furthermore, it maps the intricate relationships between datasets, access identities, and their associated security features, thereby revealing potential vulnerabilities. By illustrating how valuable data is accessed by different identities, such as users and roles, Theom provides a comprehensive view of security attributes, including user location and unusual access patterns. This holistic approach empowers organizations to make informed decisions about their data security strategies.

Experience a centralized hub for all your educational and informational needs. Sana is an innovative learning platform powered by AI that equips teams with the ability to discover, disseminate, and leverage the knowledge necessary for fulfilling their objectives. Enhance the learning journey for everyone by merging live collaborative interactions with tailored self-paced courses, all available in a single location. Simplify the sharing of knowledge through the capabilities of Sana Assistant, which can create questions, explanations, images, and even entire courses autonomously. Encourage active participation and excitement through a variety of interactive elements such as quizzes, Q&A sessions, polls, sticky notes, reflection cards, recordings, and much more. Seamlessly integrate Sana with your team's favorite applications, ensuring that your organization's collective knowledge remains accessible and searchable in less than 100 milliseconds. From Github to Google Workspace, Notion, Slack, and Salesforce, whatever you need, Sana is ready to provide insights from it. All of this comes together to foster a vibrant learning culture within your organization.

The Robust Intelligence Platform is designed to integrate effortlessly into your machine learning lifecycle, thereby mitigating the risk of model failures. It identifies vulnerabilities within your model, blocks erroneous data from infiltrating your AI system, and uncovers statistical issues such as data drift. Central to our testing methodology is a singular test that assesses the resilience of your model against specific types of production failures. Stress Testing performs hundreds of these evaluations to gauge the readiness of the model for production deployment. The insights gained from these tests enable the automatic configuration of a tailored AI Firewall, which safeguards the model from particular failure risks that it may face. Additionally, Continuous Testing operates during production to execute these tests, offering automated root cause analysis that is driven by the underlying factors of any test failure. By utilizing all three components of the Robust Intelligence Platform in tandem, you can maintain the integrity of your machine learning processes, ensuring optimal performance and reliability. This holistic approach not only enhances model robustness but also fosters a proactive stance in managing potential issues before they escalate.

Transfer your data seamlessly into your customer's cloud data lake or warehouse without ever having to leave your own system. By connecting Bobsled to your data source, you can select the specific bucket or warehouse for your data transfer, and Bobsled will take care of the rest. There’s no need to manage multiple accounts or construct complex pipelines. Designed on each platform’s sharing protocol, Bobsled offers data providers a secure and effortless way to share data, eliminating the challenges of managing a multi-cloud environment. Considering that data integration consumes 70% of the time that teams spend working with external datasets, Bobsled empowers your clients to quickly access analysis-ready data directly in the environments they are accustomed to. Additionally, users can easily track and manage every data share through a single interface, enabling them to initiate shares, automate data transfers, resolve any errors, and monitor usage efficiently. Ultimately, this streamlined process enhances productivity and allows teams to focus more on insightful analysis rather than tedious data logistics.

Assisting businesses in actively overseeing their comprehensive data quality lifecycle is achieved through the implementation of contextual data quality assessments, anomaly detection, and corrective measures. By revealing anomalies and relevant metadata, teams are empowered to implement necessary corrective actions effectively. Automated remediation workflows can be initiated to swiftly and efficiently address any errors that arise. This proactive approach helps ensure superior data quality, safeguarding against inaccuracies that could undermine business decision-making. Additionally, the SLA chart offers a detailed overview of service level agreements, showcasing the total number of monitoring activities conducted and any violations encountered. Such insights can significantly aid in pinpointing specific areas of your data that may necessitate further scrutiny or enhancement. Ultimately, maintaining robust data quality is essential for driving informed business strategies and fostering growth.

Organizations are increasingly focused on becoming more data-driven, implementing dashboards, analytics, and data pipelines throughout the contemporary data landscape. However, many organizations face significant challenges with data reliability, which can lead to misguided business decisions and a general mistrust in data that negatively affects their financial performance. Addressing intricate data challenges is often a labor-intensive process that requires collaboration among various teams, all of whom depend on informal knowledge to painstakingly reverse engineer complex data pipelines spanning multiple platforms in order to pinpoint root causes and assess their implications. Pantomath offers a solution as a data pipeline observability and traceability platform designed to streamline data operations. By continuously monitoring datasets and jobs within the enterprise data ecosystem, it provides essential context for complex data pipelines by generating automated cross-platform technical pipeline lineage. This automation not only enhances efficiency but also fosters greater confidence in data-driven decision-making across the organization.

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.

Leverage the capabilities of Qlik® Staige™ to transform AI into a tangible reality by establishing a reliable data infrastructure, incorporating automation, generating actionable predictions, and creating a significant impact across your organization. AI transcends mere experiments and initiatives; it represents a comprehensive ecosystem filled with files, scripts, and outcomes. Regardless of where you allocate your resources, we have collaborated with premier sources to provide integrations that enhance efficiency, facilitate management, and ensure quality assurance. Streamline the process of delivering real-time data to AWS data warehouses or data lakes, making it readily available through a well-governed catalog. Our latest partnership with Amazon Bedrock allows for seamless connections to essential large language models (LLMs) such as A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. This smooth integration with Amazon Bedrock not only simplifies access for AWS customers but also empowers them to harness large language models alongside analytics, resulting in insightful, AI-driven conclusions. By utilizing these advancements, organizations can fully unlock their data's potential in innovative ways.

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.

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.

Experience the freedom of storage that allows data to flow freely without restrictions. With a managed data lake, you can quickly set up your system and start utilizing data without needing to be an expert in the field. Cribl Lake ensures you won’t be overwhelmed by data, enabling effortless storage, management, policy enforcement, and accessibility whenever necessary. Embrace the future with open formats while benefiting from consistent retention, security, and access control policies. Let Cribl take care of the complex tasks, transforming data into a resource that delivers value to your teams and tools. With Cribl Lake, you can be operational in minutes instead of months, thanks to seamless automated provisioning and ready-to-use integrations. Enhance your workflows using Stream and Edge for robust data ingestion and routing capabilities. Cribl Search simplifies your querying process, providing a unified approach regardless of where your data resides, so you can extract insights without unnecessary delays. Follow a straightforward route to gather and maintain data for the long haul while easily meeting legal and business obligations for data retention by setting specific retention timelines. By prioritizing user-friendliness and efficiency, Cribl Lake equips you with the tools needed to maximize data utility and compliance.

Cribl Search introduces an innovative search-in-place technology that allows users to effortlessly explore, discover, and analyze data that was once deemed inaccessible, directly from its source and across various cloud environments, including data secured behind APIs. Users can easily navigate through their Cribl Lake or examine data stored in prominent object storage solutions such as AWS S3, Amazon Security Lake, Azure Blob, and Google Cloud Storage, while also enriching their insights by querying multiple live API endpoints from a variety of SaaS providers. The core advantage of Cribl Search is its strategic capability to forward only the essential data to analytical systems, thus minimizing the expenses associated with storage. With built-in compatibility for platforms like Amazon Security Lake, AWS S3, Azure Blob, and Google Cloud Storage, Cribl Search offers a unique opportunity to analyze all data directly where it resides. Furthermore, it empowers users to conduct searches and analyses on data regardless of its location, whether it be debug logs at the edge or data archived in cold storage, thereby enhancing their data-driven decision-making. This versatility in data access significantly streamlines the process of gaining insights from diverse data sources.

Panorama AI stands out as the sole Retail and Ecommerce Customer Intelligence Platform that empowers brands with the capabilities of a high-level enterprise data science team at a minimal cost, while reliably driving millions in revenue growth. This platform consolidates predictive intelligence into a single solution, eliminating the need for various tools scattered across different departments. Featuring proprietary AI prediction models specifically tailored to analyze the unique data of customers, Panorama AI integrates diverse systems to extract profound insights from previously unstructured and untapped customer information. Customers engage with your brand through various channels such as service calls, chats, product reviews, quizzes, and photo sharing, all of which are seamlessly connected within Panorama AI. This innovative platform allows brands to implement hyper-personalization strategies, streamline marketing expenditures, enhance inventory management practices, anticipate demand, and enrich product catalogs. Additionally, Panorama AI is uniquely crafted to embed AI-driven insights throughout the entire organization, ensuring every aspect of the business benefits from advanced analytics and informed decision-making.

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.

Vanti’s manufacturing analytics stands out as a powerful tool for modern plant professionals. It integrates data from various manufacturing sources, resulting in an automated and user-friendly platform for generating manufacturing insights. By leveraging sophisticated natural language processing, Vanti translates intricate production patterns into straightforward insights that users can act upon. This approach streamlines the data exploration process, making it feel as effortless as having a chat. Users can engage with their data using simple, conversational queries, which enhances the overall experience. In addition, the platform automatically produces detailed visual representations like charts and highlights, enriching the understanding of the data. All of these features are seamlessly integrated into an easy-to-navigate user interface, ensuring that it remains accessible to individuals regardless of their technical background. With Vanti’s advanced analytics, manufacturing professionals can achieve a thorough comprehension of plant operations, ultimately leading to improved decision-making and productivity. This holistic understanding can significantly contribute to the optimization of manufacturing processes.

TROCCO is an all-in-one modern data platform designed to help users seamlessly integrate, transform, orchestrate, and manage data through a unified interface. It boasts an extensive array of connectors that encompass advertising platforms such as Google Ads and Facebook Ads, cloud services like AWS Cost Explorer and Google Analytics 4, as well as various databases including MySQL and PostgreSQL, and data warehouses such as Amazon Redshift and Google BigQuery. One of its standout features is Managed ETL, which simplifies the data import process by allowing bulk ingestion of data sources and offers centralized management for ETL configurations, thereby removing the necessity for individual setup. Furthermore, TROCCO includes a data catalog that automatically collects metadata from data analysis infrastructure, creating a detailed catalog that enhances data accessibility and usage. Users have the ability to design workflows that enable them to organize a sequence of tasks, establishing an efficient order and combination to optimize data processing. This capability allows for increased productivity and ensures that users can better capitalize on their data resources.