Azure Blob Storage Integrations

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

Receive automatic and scheduled screenshots of websites directly in your inbox and cloud storage, eliminating the need for you to check them manually. Simply provide us with the website URL, and we will deliver periodic screenshots for you, with the flexibility to set the frequency to every hour, daily, or at specific times and dates. Our automated screenshot service caters to your preferred schedule, allowing for seamless uploads to your cloud storage. You have the option to interact with the captured pages by hiding cookie banners, advertisements, and popups, as well as logging into websites to take screenshots. Enjoy a complete and searchable history of all your screenshots, with the ability to schedule captures at any hour, any day, or even multiple times within a single day. If you wish, you can set it to capture your website every minute or only on weekdays, and you can select specific days of the month or particular dates each year. Our comprehensive scheduling system is designed to accommodate virtually any timing preferences you may have, and each capture can include multiple URLs processed simultaneously. Additionally, you can opt to capture an entire website or RSS feed simply by providing the corresponding sitemap or RSS feed link, making it a versatile tool for your web monitoring needs. This service not only saves you time but also ensures that you never miss important updates on your favorite sites.

V7 Darwin is a data labeling and training platform designed to automate and accelerate the process of creating high-quality datasets for machine learning. With AI-assisted labeling and tools for annotating images, videos, and more, V7 makes it easy for teams to create accurate and consistent data annotations quickly. The platform supports complex tasks such as segmentation and keypoint labeling, allowing businesses to streamline their data preparation process and improve model performance. V7 Darwin also offers real-time collaboration and customizable workflows, making it suitable for enterprises and research teams alike.

Coginiti is the AI-enabled enterprise Data Workspace that empowers everyone to get fast, consistent answers to any business questions. Coginiti helps you find and search for metrics that are approved for your use case, accelerating the lifecycle of analytic development from development to certification. Coginiti integrates the functionality needed to build, approve and curate analytics for reuse across all business domains, while adhering your data governance policies and standards. Coginiti’s collaborative data workspace is trusted by teams in the insurance, healthcare, financial services and retail/consumer packaged goods industries to deliver value to customers.

Enterprise Recon by Ground Labs is a leading, award-winning solution that empowers organizations to confidently discover, manage, and remediate sensitive personal data across their entire digital estate—from legacy systems to the modern cloud. Our technology provides the unparalleled visibility needed to reduce risk, simplify compliance, and maintain a strong security posture globally. Unmatched Discovery and Accuracy Powered by GLASS™ At the core of Enterprise Recon is GLASS Technology™, Ground Labs' proprietary pattern-matching engine. This is a crucial differentiator, designed specifically for data discovery: Fastest and Most Accurate: GLASS Technology™ allows Enterprise Recon to deliver the fastest and most accurate sensitive data discovery on the market, dramatically minimizing system overheads and the most common complaint in the industry: false positives. Deep Search Capabilities: It performs sophisticated, deep searches for over 300 pre-configured, out-of-the-box data types across various formats, including databases, documents, emails, compressed files, and even in-memory data, ensuring no sensitive asset is missed. Customization: Enables complete customisation of sensitive data types, enabling organizations to search for proprietary or highly-specific data patterns unique to their business or industry. Comprehensive Platform and Deployment Coverage Enterprise Recon is engineered for the complex, heterogeneous environments of the modern enterprise, offering unparalleled breadth in platform support: Broad OS Support: Supports sensitive data discovery on an extensive range of operating systems, including common platforms like Windows, macOS, and Linux, as well as legacy and specialized systems such as FreeBSD, Solaris and AIX

DSVMs, or Data Science Virtual Machines, are pre-configured Azure Virtual Machine images equipped with a variety of widely-used tools for data analysis, machine learning, and AI training. They ensure a uniform setup across teams, encouraging seamless collaboration and sharing of resources while leveraging Azure's scalability and management features. Offering a near-zero setup experience, these VMs provide a fully cloud-based desktop environment tailored for data science applications. They facilitate rapid and low-friction deployment suitable for both classroom settings and online learning environments. Users can execute analytics tasks on diverse Azure hardware configurations, benefiting from both vertical and horizontal scaling options. Moreover, the pricing structure allows individuals to pay only for the resources they utilize, ensuring cost-effectiveness. With readily available GPU clusters that come pre-configured for deep learning tasks, users can hit the ground running. Additionally, the VMs include various examples, templates, and sample notebooks crafted or validated by Microsoft, which aids in the smooth onboarding process for numerous tools and capabilities, including but not limited to Neural Networks through frameworks like PyTorch and TensorFlow, as well as data manipulation using R, Python, Julia, and SQL Server. This comprehensive package not only accelerates the learning curve for newcomers but also enhances productivity for seasoned data scientists.

IRI Data Masking as a Service is a professional services engagement to secure PII. Step 1: IRI agrees under NDA terms to classify, analyze, and report on the sensitive, at-risk data in your sources. We will discuss an initial cost estimate then hone it with you during data discovery. Step 2: Transfer the unprotected data to a secure on-premise or cloud-based staging area or provide remote, supervised access to IRI to the data sources(s) at issue. We'll use the tools in the award-winning IRI Data Protector suite to mask that data according to your business rules, on an ad hoc or recurring basis. Step 3: Our experts can also move newly-masked data to incremental replicas in production or to lower non-production environments. From either, the data is now safe for analytic initiatives, development, testing, or training. Tell us if you need additional services, like re-ID risk scoring (expert determination) of the de-identified data. This approach provides the benefits of proven data masking solution technology and services without the need to learn and customize new software from scratch. If you do want to use the software in-house, you will have everything pre-configured for easier long-term self-use and modification.

Airbyte is a data integration platform that operates on an open-source model, aimed at assisting organizations in unifying data from diverse sources into their data lakes, warehouses, or databases. With an extensive library of over 550 ready-made connectors, it allows users to craft custom connectors with minimal coding through low-code or no-code solutions. The platform is specifically designed to facilitate the movement of large volumes of data, thereby improving artificial intelligence processes by efficiently incorporating unstructured data into vector databases such as Pinecone and Weaviate. Furthermore, Airbyte provides adaptable deployment options, which help maintain security, compliance, and governance across various data models, making it a versatile choice for modern data integration needs. This capability is essential for businesses looking to enhance their data-driven decision-making processes.

Quickly identify vulnerabilities and manage access to various feeds and actions within minutes of downloading and installing the software. ProGet offers a self-managed solution with a robust free version that can be upgraded as necessary. The platform streamlines the packaging of applications and components, ensuring that software is built a single time and deployed uniformly across various environments. This guarantees that the production version is identical to what was built and tested. Additionally, ProGet supports third-party packages, including NuGet, npm, PowerShell, and Chocolatey, as well as Docker containers, enabling you to uphold quality standards, monitor open-source licenses, and scan for vulnerabilities much earlier in the development process. With features such as high availability, load balancing, and multi-site replication, ProGet centralizes your organization's software applications and components, granting consistent access to developers and servers. This not only enhances security but also improves collaboration and efficiency across development teams.

Ascend provides data teams with a streamlined and automated platform that allows them to ingest, transform, and orchestrate their entire data engineering and analytics workloads at an unprecedented speed, achieving results ten times faster than before. This tool empowers teams that are often hindered by bottlenecks to effectively build, manage, and enhance the ever-growing volume of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously in the background to ensure data integrity and optimize data workloads, significantly cutting down maintenance time by as much as 90%. Users can effortlessly create, refine, and execute data transformations through Ascend’s versatile flex-code interface, which supports the use of multiple programming languages such as SQL, Python, Java, and Scala interchangeably. Additionally, users can quickly access critical metrics including data lineage, data profiles, job and user logs, and system health indicators all in one view. Ascend also offers native connections to a continually expanding array of common data sources through its Flex-Code data connectors, ensuring seamless integration. This comprehensive approach not only enhances efficiency but also fosters stronger collaboration among data teams.

Harness the capabilities of a no-code platform to create modern applications with ease. Design, deploy, manage, and expand cloud-native applications by taking full advantage of your team's existing skills. Transform your applications to seize new revenue streams and surpass customer expectations by swiftly modernizing both legacy and new projects. Position yourself ahead of the competition and drive transformative change. Utilize the platform's built-in DevOps features to streamline and automate the processes of software delivery and maintenance effectively. Enhance your 'cloud first' approach by incorporating support for multi-cloud and hybrid cloud environments. Prevent vendor lock-in and empower your teams with the freedom to choose their preferred cloud services and infrastructure. Minimize human error and reclaim valuable time for modernizing applications. Accelerate debugging and issue resolution with the platform's integrated developer tools, allowing for a more efficient development process. By embracing this innovative approach, organizations can foster a culture of agility and responsiveness to market demands.

Superblocks is a programmable, IDE that allows developers to create any internal app, workflow or scheduled job in a fraction of time and cost. Next month's roadmap will be available this week. Rapidly create apps, workflows and jobs that are connected to your data. Secure your data with granular permissions (RBAC), SSO and audit logs. Monitor production and deploy with Git. You can extend anything with code. You don't need to know HTML, CSS, or React. Drag and drop components, connect them with data, and make your app dynamic using trigger APIs. To improve the speed of your support team, you can create custom KYC, Compliance, AML and credit approval tools. Stop wasting time with CLIs. You can quickly create admin panels for your datastores so you can read, write, or update customer data using tables, forms, charts, and other tools. You can track deployment status and monitor versions from one pane of glass. Any deployment system you use can be read/written to. Clark is the first AI agent purpose-built for securely creating internal enterprise apps at scale. Designed to work within your company’s existing infrastructure, Clark uses your design systems, access controls, and private APIs to generate fully compliant internal tools. With the ability to build through AI prompts, drag-and-drop interfaces, or your favorite IDE, Clark unites business users and developers on a single governed platform.

Occasionally, organizations face difficulties in securely sharing and collaborating on files with external entities such as clients and partners who do not belong to their identity management systems. NirvaShare addresses these concerns by managing access, security, and compliance for sharing files stored in the cloud with outside users. In addition to being compatible with cloud deployments, NirvaShare can also be implemented within your on-premise infrastructure, linking seamlessly to existing S3-compatible or other supported storage systems, thus facilitating file sharing for both internal and external stakeholders. When sharing files or folders, users can easily define specific access permissions, such as who has the ability to download, upload, or delete content. It is also straightforward to link groups and users from your Active Directory or any other identity provider. Notably, NirvaShare is engineered to efficiently handle large file transfers, accommodating sizes that can reach several tens of gigabytes, all while maintaining remarkably low resource usage. This makes it an ideal solution for organizations looking to streamline their file-sharing processes securely and effectively.

A vector database designed for scalable similarity searches. Open-source, highly scalable and lightning fast. Massive embedding vectors created by deep neural networks or other machine learning (ML), can be stored, indexed, and managed. Milvus vector database makes it easy to create large-scale similarity search services in under a minute. For a variety languages, there are simple and intuitive SDKs. Milvus is highly efficient on hardware and offers advanced indexing algorithms that provide a 10x speed boost in retrieval speed. Milvus vector database is used in a variety a use cases by more than a thousand enterprises. Milvus is extremely resilient and reliable due to its isolation of individual components. Milvus' distributed and high-throughput nature makes it an ideal choice for large-scale vector data. Milvus vector database uses a systemic approach for cloud-nativity that separates compute and storage.

Easily distribute data of any format and size from various sources to other organizations while maintaining full control over what you share, who receives it, and the associated terms of use. The Data Share platform offers complete transparency regarding your data-sharing connections through a user-friendly interface, allowing you to share information with just a few clicks or create a custom application via the REST API. This serverless, code-free data-sharing solution eliminates the need for infrastructure setup or management, providing an intuitive interface to oversee all your data-sharing interactions. With automated processes in place, you can achieve greater productivity and predictability in your operations. The service ensures data security by leveraging Azure's robust security measures, enabling the sharing of both structured and unstructured data from a variety of Azure data stores effortlessly. Furthermore, there’s no need for SAS keys, and sharing is entirely code-free, allowing you to dictate data access and define terms of use that comply with your enterprise policies seamlessly. With this tool, organizations can foster collaboration while safeguarding their data integrity and compliance.

Latitude is a comprehensive platform for prompt engineering, helping product teams design, test, and optimize AI prompts for large language models (LLMs). It provides a suite of tools for importing, refining, and evaluating prompts using real-time data and synthetic datasets. The platform integrates with production environments to allow seamless deployment of new prompts, with advanced features like automatic prompt refinement and dataset management. Latitude’s ability to handle evaluations and provide observability makes it a key tool for organizations seeking to improve AI performance and operational efficiency.

Hydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints.

OpenCost is an open-source initiative that is vendor-neutral, designed to measure and allocate costs associated with cloud infrastructure and containers in real-time. Developed by experts in Kubernetes and backed by practitioners in the field, OpenCost brings transparency to the often opaque spending patterns associated with Kubernetes. It offers flexible and customizable options for cost allocation and monitoring of cloud resources, facilitating accurate showback, chargeback, and continuous reporting. The tool provides real-time cost allocation that can be examined down to individual containers, ensuring precise tracking of expenses. It effectively allocates costs for in-cluster resources, including CPU, GPU, memory, load balancers, and persistent volumes. Additionally, OpenCost features dynamic asset pricing by integrating with billing APIs from AWS, Azure, and GCP, while also accommodating on-premises Kubernetes clusters with tailored pricing solutions. Beyond the Kubernetes cluster, it can monitor expenses from cloud providers related to resources such as object storage and databases, as well as other managed services. Furthermore, it seamlessly integrates with other open-source tools, allowing for convenient exports of pricing data to platforms like Prometheus, enhancing its utility in cost management. This makes OpenCost a comprehensive solution for organizations seeking to maintain control over their cloud spending effectively.

LanceDB is an accessible, open-source database specifically designed for AI development. It offers features such as hyperscalable vector search and sophisticated retrieval capabilities for Retrieval-Augmented Generation (RAG), along with support for streaming training data and the interactive analysis of extensive AI datasets, making it an ideal foundation for AI applications. The installation process takes only seconds, and it integrates effortlessly into your current data and AI toolchain. As an embedded database—similar to SQLite or DuckDB—LanceDB supports native object storage integration, allowing it to be deployed in various environments and efficiently scale to zero when inactive. Whether for quick prototyping or large-scale production, LanceDB provides exceptional speed for search, analytics, and training involving multimodal AI data. Notably, prominent AI companies have indexed vast numbers of vectors and extensive volumes of text, images, and videos at a significantly lower cost compared to other vector databases. Beyond mere embedding, it allows for filtering, selection, and streaming of training data directly from object storage, thereby ensuring optimal GPU utilization for enhanced performance. This versatility makes LanceDB a powerful tool in the evolving landscape of artificial intelligence.

WarpStream serves as a data streaming platform that is fully compatible with Apache Kafka, leveraging object storage to eliminate inter-AZ networking expenses and disk management, while offering infinite scalability within your VPC. The deployment of WarpStream occurs through a stateless, auto-scaling agent binary, which operates without the need for local disk management. This innovative approach allows agents to stream data directly to and from object storage, bypassing local disk buffering and avoiding any data tiering challenges. Users can instantly create new “virtual clusters” through our control plane, accommodating various environments, teams, or projects without the hassle of dedicated infrastructure. With its seamless protocol compatibility with Apache Kafka, WarpStream allows you to continue using your preferred tools and software without any need for application rewrites or proprietary SDKs. By simply updating the URL in your Kafka client library, you can begin streaming immediately, ensuring that you never have to compromise between reliability and cost-effectiveness again. Additionally, this flexibility fosters an environment where innovation can thrive without the constraints of traditional infrastructure.

Vectorize is a specialized platform that converts unstructured data into efficiently optimized vector search indexes, enhancing retrieval-augmented generation workflows. Users can import documents or establish connections with external knowledge management systems, enabling the platform to extract natural language that is compatible with large language models. By evaluating various chunking and embedding strategies simultaneously, Vectorize provides tailored recommendations while also allowing users the flexibility to select their preferred methods. After a vector configuration is chosen, the platform implements it into a real-time pipeline that adapts to any changes in data, ensuring that search results remain precise and relevant. Vectorize features integrations with a wide range of knowledge repositories, collaboration tools, and customer relationship management systems, facilitating the smooth incorporation of data into generative AI frameworks. Moreover, it also aids in the creation and maintenance of vector indexes within chosen vector databases, further enhancing its utility for users. This comprehensive approach positions Vectorize as a valuable tool for organizations looking to leverage their data effectively for advanced AI applications.

Guild AI serves as an open-source toolkit for tracking experiments, crafted to introduce systematic oversight into machine learning processes, thereby allowing users to enhance model creation speed and quality. By automatically documenting every facet of training sessions as distinct experiments, it promotes thorough tracking and evaluation. Users can conduct comparisons and analyses of different runs, which aids in refining their understanding and progressively enhancing their models. The toolkit also streamlines hyperparameter tuning via advanced algorithms that are executed through simple commands, doing away with the necessity for intricate trial setups. Furthermore, it facilitates the automation of workflows, which not only speeds up development but also minimizes errors while yielding quantifiable outcomes. Guild AI is versatile, functioning on all major operating systems and integrating effortlessly with pre-existing software engineering tools. In addition to this, it offers support for a range of remote storage solutions, such as Amazon S3, Google Cloud Storage, Azure Blob Storage, and SSH servers, making it a highly adaptable choice for developers. This flexibility ensures that users can tailor their workflows to fit their specific needs, further enhancing the toolkit’s utility in diverse machine learning environments.

5X is a comprehensive data management platform that consolidates all the necessary tools for centralizing, cleaning, modeling, and analyzing your data. With its user-friendly design, 5X seamlessly integrates with more than 500 data sources, allowing for smooth and continuous data flow across various systems through both pre-built and custom connectors. The platform features a wide array of functions, including ingestion, data warehousing, modeling, orchestration, and business intelligence, all presented within an intuitive interface. It efficiently manages diverse data movements from SaaS applications, databases, ERPs, and files, ensuring that data is automatically and securely transferred to data warehouses and lakes. Security is a top priority for 5X, as it encrypts data at the source and identifies personally identifiable information, applying encryption at the column level to safeguard sensitive data. Additionally, the platform is engineered to lower the total cost of ownership by 30% when compared to developing a custom solution, thereby boosting productivity through a single interface that enables the construction of complete data pipelines from start to finish. This makes 5X an ideal choice for businesses aiming to streamline their data processes effectively.

Apache DataFusion is a versatile and efficient query engine crafted in Rust, leveraging Apache Arrow for its in-memory data representation. It caters to developers engaged in creating data-focused systems, including databases, data frames, machine learning models, and real-time streaming applications. With its SQL and DataFrame APIs, DataFusion features a vectorized, multi-threaded execution engine that processes data streams efficiently and supports various partitioned data sources. It is compatible with several native formats such as CSV, Parquet, JSON, and Avro, and facilitates smooth integration with popular object storage solutions like AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture includes a robust query planner and an advanced optimizer that boasts capabilities such as expression coercion, simplification, and optimizations that consider distribution and sorting, along with automatic reordering of joins. Furthermore, DataFusion allows for extensive customization, enabling developers to incorporate user-defined scalar, aggregate, and window functions along with custom data sources and query languages, making it a powerful tool for diverse data processing needs. This adaptability ensures that developers can tailor the engine to fit their unique use cases effectively.

Office InfoSystems’ NEXAVAULT is an AI-powered document management platform that empowers businesses to streamline operations and safeguard sensitive information. It combines essential tools like data capture, electronic storage, OCR-powered indexing, and version control with enterprise-grade security and encryption. With customizable workflows and pre-built templates, organizations can standardize processes while saving time. The system integrates seamlessly with existing platforms like ERP, CRM, Google Drive, and Amazon S3 to enhance collaboration. Beyond basic file storage, NEXAVAULT introduces compliance-focused data rooms, ensuring industries such as healthcare, legal, and finance meet strict regulatory requirements. Businesses benefit from smart notifications, audit trails, and real-time alerts to maintain accountability and efficiency. Its cloud and on-premise flexibility makes it suitable for companies of all sizes, from startups to large enterprises. Ultimately, NEXAVAULT is a comprehensive solution that transforms document handling into a secure, scalable, and productivity-driven process.

OpenObserve is a robust open-source observability platform designed for managing logs, metrics, and traces, focusing on exceptional performance, scalability, and significantly reduced costs. It enables observability at a petabyte scale by incorporating features like columnar storage data compression and the flexibility of “bring your own bucket” storage options, including local disks and cloud services such as S3, GCS, and Azure Blob. Developed in Rust, it utilizes the DataFusion query engine for direct querying of Parquet files, and it boasts a stateless, horizontally scalable framework that employs caching strategies for both results and disk to ensure rapid performance even during peak loads. By adhering to open standards, including compatibility with OpenTelemetry and vendor-neutral APIs, OpenObserve seamlessly integrates into pre-existing monitoring and logging ecosystems. Its essential components encompass logs, metrics, traces, frontend monitoring, pipelines, alerts, and comprehensive dashboards for visualizations. Ultimately, OpenObserve empowers organizations to achieve efficient and cost-effective observability solutions in their operations.

FTP can slow down and make it difficult to move files. FileCatalyst offers fast file transfer solutions that can be used in place of FTP. Our solutions allow you to send files of any format or size at full speed, hundreds of time faster than FTP while ensuring safe and reliable delivery.

Previously known as iText, we are now a part of Apryse. With optimized technology and a comprehensive suite of tools, Apryse simplifies even the most complex projects, taking you further, faster. Committed to feature-rich products that are made better, Apryse offers superior document solutions across all applications and enterprise workflows. With iText by Apryse, our diverse customer base includes more than half of the Fortune 500 companies, as well as many government agencies and small companies alike. Our software has grown out of the open source space, and we still believe in the value of open source software. Our core library iText 7 Community and earlier versions iText 5, and iText 2 are all available under the AGPL license. We do offer commercial licensing for customers that do not wish to comply with AGPL and would like to keep their source code private. You may have used iText when you: - received a boarding pass from an airline, - received a PDF invoice or receipt, - received a PDF document after filling in a form, - and many more. For more information, visit the Apryse website.

Effortlessly create, edit, and manage your data models without the hassle of needing another tool by using Weld. This platform is equipped with an array of features designed to streamline your data modeling process, including intelligent autocomplete, code folding, error highlighting, audit logs, version control, and collaboration capabilities. Moreover, it utilizes the same text editor as VS Code, ensuring a fast, efficient, and visually appealing experience. Your queries are neatly organized in a library that is not only easily searchable but also accessible at any time. The audit logs provide transparency by showing when a query was last modified and by whom. Weld Model allows you to materialize your models in various formats such as tables, incremental tables, views, or tailored materializations that suit your specific design. Furthermore, you can conduct all your data operations within a single, user-friendly platform, supported by a dedicated team of data analysts ready to assist you. This integrated approach simplifies the complexities of data management, making it more efficient and less time-consuming.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

Fullcast empowers Go-to-Market teams to deliver superior outcomes through proprietary solutions powered by AI. Our software and strategic solutions help thousands of go-to-market professionals optimize operations, proactively engage with their customers, and inform go-to-market decisions. Go-to-market teams struggle to align and execute on their plans. We make it easy. Working with go-to-market data can be incredibly difficult. Fullcast opens a world of opportunity for marketing, sales, strategy, operations and customer success teams by creating a foundation of accurate data and real-time insights. With our unique expertise in go-to-market planning and execution, we help B2B companies everywhere realize their full potential.

Strengthen your data security and compliance through the use of Key Vault. Effective key management is crucial for safeguarding cloud data. Implement Azure Key Vault to encrypt keys and manage small secrets such as passwords that utilize keys stored in hardware security modules (HSMs). For enhanced security, you have the option to either import or generate keys within HSMs, while Microsoft ensures that your keys are processed in FIPS validated HSMs, adhering to standards like FIPS 140-2 Level 2 for vaults and FIPS 140-2 Level 3 for HSM pools. Importantly, with Key Vault, Microsoft does not have access to or extract your keys. Additionally, you can monitor and audit your key usage through Azure logging, allowing you to channel logs into Azure HDInsight or integrate with your security information and event management (SIEM) solution for deeper analysis and improved threat detection capabilities. This comprehensive approach not only enhances security but also ensures that your data remains compliant with industry standards.

Distributed denial of service (DDoS) attacks present significant challenges regarding availability and security for customers transitioning their applications to cloud platforms. These attacks aim to overwhelm an application's resources, rendering it inaccessible to genuine users. Any endpoint that is publicly accessible via the internet can be subjected to a DDoS attack. Fortunately, every asset within Azure benefits from Azure's infrastructure DDoS (Basic) Protection at no extra cost. The vast scale and capability of Azure's globally distributed network offer robust defense mechanisms against prevalent network-layer attacks, utilizing continuous traffic monitoring and immediate mitigation strategies. Importantly, DDoS Protection Basic does not necessitate user configuration or alterations to the application. This level of protection extends to all Azure services, including platform-as-a-service (PaaS) offerings like Azure DNS, ensuring comprehensive security across the board. Moreover, businesses can operate with increased confidence, knowing that their services are safeguarded against these disruptive threats.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

Numerous companies leverage Microsoft SharePoint to foster real-time collaboration among employees, partners, and customers. The functionalities of SharePoint allow organizations to transcend mere content storage, empowering staff to establish team sites, develop intranet and extranet portals, and utilize wikis, blogs, and social communities. While these vibrant collaborative spaces can enhance productivity, they also elevate security vulnerabilities, particularly when accessible to outside users. To address these concerns, Trend Micro PortalProtect provides a specialized protection layer that safeguards against malware, harmful links, and other potential threats that SharePoint administrators may not recognize. Its web reputation technology effectively prevents malicious links from infiltrating your web portals, and its robust content filtering mechanism meticulously scans both files and web components within SharePoint to ensure safety. This dual approach not only enhances security but also allows for a more confident use of SharePoint's collaborative features.

Experience rapid and efficient backup and restoration for SQL Server databases, achieving savings of up to 85 percent in both size and duration when compared to other solutions. LiteSpeed for SQL Server streamlines this process with minimal hassle and risk involved. Ensure swift restoration of the correct SQL Server data through a diverse array of backup and recovery options. Direct integration with Microsoft Azure Blob storage, Amazon S3, and ISM TSM facilitates seamless cloud-based backup and restoration for both on-premises and virtualized SQL Servers. This results in significant improvements in backup and restore times, as well as reductions in storage expenses. You can optimize CPU resource usage and lower backup storage size through eight different levels of compression tailored to your specific environment. Manage and oversee your SQL Server backup and recovery processes efficiently by defining, scheduling, and controlling all jobs from a single centralized interface. This comprehensive management capability simplifies the overall backup strategy, ensuring that your data is not only saved but also easily retrievable when needed.

Intel® Tiber™ AI Studio serves as an all-encompassing machine learning operating system designed to streamline and unify the development of artificial intelligence. This robust platform accommodates a diverse array of AI workloads and features a hybrid multi-cloud infrastructure that enhances the speed of ML pipeline creation, model training, and deployment processes. By incorporating native Kubernetes orchestration and a meta-scheduler, Tiber™ AI Studio delivers unparalleled flexibility for managing both on-premises and cloud resources. Furthermore, its scalable MLOps framework empowers data scientists to seamlessly experiment, collaborate, and automate their machine learning workflows, all while promoting efficient and cost-effective resource utilization. This innovative approach not only boosts productivity but also fosters a collaborative environment for teams working on AI projects.

Beats serves as a free and accessible platform designed specifically for single-purpose data shippers that transport data from numerous machines and systems to Logstash or Elasticsearch. These open-source data shippers are installed as agents on your servers, enabling the seamless transfer of operational data to Elasticsearch. Elastic offers Beats to facilitate the collection of data and event logs efficiently. Data can be directed to Elasticsearch or routed through Logstash, allowing for additional processing and enhancement before visualization in Kibana. If you're eager to start monitoring infrastructure metrics and centralizing log analytics swiftly, the Metrics app and Logs app in Kibana are excellent resources to explore. For comprehensive guidance, refer to Analyze metrics and Monitor logs. Filebeat simplifies the process of collecting data from various sources, including security devices, cloud environments, containers, and hosts, by providing a lightweight solution to forward and centralize logs and files. This flexibility ensures that you can maintain an organized and efficient data pipeline regardless of the complexity of your infrastructure.

Ohalo's Data X-Ray platform automates data governance tasks like discovering, mapping, and redacting files containing sensitive, and personal information. Our customers rely on it for file activity monitoring, security enhancement, and privacy compliance. Data X-Ray connects seamlessly to all data sources, on-premises or in the cloud, enabling a comprehensive understanding of files across all storage locations. Moreover, Ohalo possesses the flexibility to develop custom connectors for individual data sources, whether they are bespoke or legacy, upon request. End-To-End Document Management Software. Data X-Ray uses machine learning and natural language processing to uncover unknown or forgotten data, ensuring compliance with privacy and security regulations. It helps eliminate unnecessary records, reducing storage costs. Get Data X-Ray: One Platform, Universal Insight.

Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

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.

CubeBackup serves as a backup solution for Google Workspace, ensuring that your organizational data is safeguarded across the entire domain. It retains all data with version history, allowing storage on either local devices or private cloud platforms. This application facilitates the backing up of Gmail, Google Drive, shared Drives, Contacts, Calendar, and Sites to on-premises options like local disks, NAS, SAN, or file servers. Alternatively, users can opt to save their data on private cloud services, including Amazon S3, Google Cloud, Azure Blob Storage, and Backblaze B2. Unlike Google Drive, which restricts file version history to a mere 30 days, CubeBackup enables users to revert Google Drive and Shared Drive files to any earlier version. Additionally, it can restore entire projects, maintaining the complete structure of files and folders, back to any chosen state. By using CubeBackup, you can retain control of your data and avoid reliance on external providers. Unlike many other cloud backup services for Google Workspace that manage your data, CubeBackup empowers you to oversee your backups through local storage solutions, providing peace of mind regarding your valuable information security.

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.

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.

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.

Streamlined data management can enhance your business's efficiency. Quickly connect, transform, and visualize your data in a scalable manner. Kleene simplifies the process of accessing data from your SaaS applications. After extraction, the data is securely stored and meticulously organized within a cloud data warehouse. This ensures that the data is cleaned and prepared for thorough analysis. User-friendly dashboards empower you to uncover insights and make informed, data-driven decisions that propel your growth. Say goodbye to the time-consuming process of creating data pipelines from scratch. With over 150 pre-built data connectors at your disposal, and the option for on-demand custom connector creation, you can always work with the latest data. Setting up your data warehouse takes just minutes, requiring no engineering skills. Our unique transformation tools speed up the building of your data models, while our exceptional data pipeline observability and management capabilities offer you unparalleled control. Take advantage of Kleene’s top-notch dashboard templates and enhance your visualizations with our extensive industry knowledge to drive your business forward even further.

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.