Business Software for Google Cloud BigQuery

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

Splunk SOAR (Security Orchestration, Automation, and Response) serves as a robust solution that assists organizations in optimizing and automating their security operations. By integrating seamlessly with a variety of security tools and systems, it empowers teams to automate mundane tasks, coordinate workflows, and respond to incidents with increased agility. Security teams can develop playbooks using Splunk SOAR to streamline incident response procedures, which significantly decreases the time required to identify, investigate, and mitigate security threats. Additionally, the platform provides sophisticated analytics, immediate threat intelligence, and collaborative features that bolster decision-making and elevate overall security effectiveness. Through the automation of routine undertakings and the facilitation of more efficient resource allocation, Splunk SOAR enables organizations to react to threats with enhanced speed and precision, thus reducing potential risks and strengthening their cybersecurity resilience. Ultimately, this leads to a more proactive approach to security management, allowing teams to focus on strategic initiatives rather than being bogged down by repetitive tasks.

Syntasa introduces a revolutionary web application designed specifically for digital experts, allowing teams to seamlessly integrate first-party behavioral data with enterprise information. This self-service platform empowers users to create and implement tailored models, operate within a private cloud environment, and engage across multiple channels, enhancing the overall digital experience. With its user-friendly interface, Syntasa makes it easier than ever for digital professionals to harness the power of their data.

Uncover, categorize, and safeguard your sensitive information with Nightfall™, which leverages machine learning technology to detect essential business data, such as customer Personally Identifiable Information (PII), across your SaaS platforms, APIs, and data systems, enabling effective management and protection. With the ability to integrate quickly through APIs, you can monitor your data effortlessly without the need for agents. Nightfall’s machine learning capabilities ensure precise classification of sensitive data and PII, ensuring comprehensive coverage. You can set up automated processes for actions like quarantining, deleting, and alerting, which enhances efficiency and bolsters your business’s security. Nightfall seamlessly connects with all your SaaS applications and data infrastructure. Begin utilizing Nightfall’s APIs for free to achieve sensitive data classification and protection. Through the REST API, you can retrieve organized results from Nightfall’s advanced deep learning detectors, identifying elements such as credit card numbers and API keys, all with minimal coding. This allows for a smooth integration of data classification into your applications and workflows utilizing Nightfall's REST API, setting a foundation for robust data governance. By employing Nightfall, you not only protect your data but also empower your organization with enhanced compliance capabilities.

Combine data silos effortlessly using Azure Data Factory, a versatile service designed to meet diverse data integration requirements for users of all expertise levels. You can easily create both ETL and ELT workflows without any coding through its user-friendly visual interface, or opt to write custom code if you prefer. The platform supports the seamless integration of data sources with over 90 pre-built, hassle-free connectors, all at no extra cost. With a focus on your data, this serverless integration service manages everything else for you. Azure Data Factory serves as a robust layer for data integration and transformation, facilitating your digital transformation goals. Furthermore, it empowers independent software vendors (ISVs) to enhance their SaaS applications by incorporating integrated hybrid data, enabling them to provide more impactful, data-driven user experiences. By utilizing pre-built connectors and scalable integration capabilities, you can concentrate on enhancing user satisfaction while Azure Data Factory efficiently handles the backend processes, ultimately streamlining your data management efforts.

Kraken caters to a wide range of users, from analysts to data scientists, by providing a user-friendly, no-code automated machine learning platform. It is designed to streamline and automate various data science processes, including data preparation, cleaning, algorithm selection, model training, and deployment. With a focus on making these tasks accessible, Kraken is particularly beneficial for analysts and engineers who may have some experience in data analysis. The platform’s intuitive, no-code interface and integrated SONAR© training empower users to evolve into citizen data scientists effortlessly. For data scientists, advanced functionalities enhance productivity and efficiency. Whether your routine involves using Excel or flat files for reporting or conducting ad-hoc analysis, Kraken simplifies the model-building process with features like drag-and-drop CSV uploads and an Amazon S3 connector. Additionally, the Data Connectors in Kraken enable seamless integration with various data warehouses, business intelligence tools, and cloud storage solutions, ensuring that users can work with their preferred data sources effortlessly. This versatility makes Kraken an indispensable tool for anyone looking to leverage machine learning without requiring extensive coding knowledge.

IBM watsonx.data integration is an enterprise data integration platform built to help organizations deliver trusted, AI-ready data across complex environments. The solution provides a unified control plane that allows data engineers and analysts to integrate structured and unstructured data from multiple sources while managing pipelines from a single interface. Watsonx.data integration supports multiple integration styles including batch processing, real-time streaming, and data replication, enabling businesses to move and transform data based on their operational needs. The platform includes no-code, low-code, and pro-code interfaces that allow users of varying skill levels to design and manage pipelines. Built-in AI assistants enable natural language interactions, helping teams accelerate pipeline development and simplify complex tasks. Continuous pipeline monitoring and observability tools help teams identify and resolve data issues before they impact downstream systems. With support for hybrid and multi-cloud environments, watsonx.data integration allows organizations to process data wherever it resides while minimizing costly data movement. By simplifying pipeline design and supporting modern data architectures, the platform helps enterprises prepare high-quality data for analytics, AI, and machine learning workloads.

Molecula serves as an enterprise feature store that streamlines, enhances, and manages big data access to facilitate large-scale analytics and artificial intelligence. By consistently extracting features, minimizing data dimensionality at the source, and channeling real-time feature updates into a centralized repository, it allows for millisecond-level queries, computations, and feature re-utilization across various formats and locations without the need to duplicate or transfer raw data. This feature store grants data engineers, scientists, and application developers a unified access point, enabling them to transition from merely reporting and interpreting human-scale data to actively forecasting and recommending immediate business outcomes using comprehensive data sets. Organizations often incur substantial costs when preparing, consolidating, and creating multiple copies of their data for different projects, which delays their decision-making processes. Molecula introduces a groundbreaking approach for continuous, real-time data analysis that can be leveraged for all mission-critical applications, dramatically improving efficiency and effectiveness in data utilization. This transformation empowers businesses to make informed decisions swiftly and accurately, ensuring they remain competitive in an ever-evolving landscape.

Cloud Endpoints allows you to create, launch, safeguard, and oversee your APIs effectively. With a robust NGINX-based proxy and a distributed framework, it ensures exceptional performance and scalability. By utilizing either an OpenAPI Specification or one of the provided API frameworks, Cloud Endpoints equips you with essential tools for every stage of API development while offering valuable insights via Cloud Logging, Cloud Monitoring, and Cloud Trace. You can manage access to your API and authenticate each request using JSON Web Tokens and Google API keys. Additionally, seamless integration with Auth0 and Firebase Authentication enables user identification for your web or mobile applications. The Extensible Service Proxy guarantees security and analytics in under 1 millisecond per request. You can effortlessly deploy your API using App Engine and Google Kubernetes Engine or incorporate our proxy container into your Kubernetes setup. Furthermore, you can track essential operational metrics through the Google Cloud Console and obtain deeper insights into user behavior and usage patterns utilizing Cloud Trace, Cloud Logging, and BigQuery. This comprehensive approach ensures that your APIs are not only secure but also optimized for performance and usability.

A reliable and straightforward approach to restoring normalcy is essential. Our offerings include cutting-edge vaccine scheduling and distribution, support through a call center help desk, case management, inventory tracking, safety monitoring, identification of vaccination deserts, an immunization registry, and a vaccine passport application. MTX SafeVax was designed to improve the vaccination process significantly and to create a positive impact in our communities. The platform enables users to tailor, integrate, and scale their efforts effectively through a range of digital and in-person solutions. These services are specifically crafted to tackle the distinct challenges faced by healthcare providers, organizations, and government agencies in administering the COVID-19 vaccine amidst an urgent and widespread demand. MTX SafeVax Plug-in-Play Modules are user-friendly and can be easily set up, allowing seamless integration with existing systems or the launch of a complete end-to-end solution. By streamlining the vaccination process, we aim to enhance public health and contribute to the recovery of our society.

Tokern offers an open-source suite designed for data governance, specifically tailored for databases and data lakes. This user-friendly toolkit facilitates the collection, organization, and analysis of metadata from data lakes, allowing users to execute quick tasks via a command-line application or run it as a service for ongoing metadata collection. Users can delve into aspects like data lineage, access controls, and personally identifiable information (PII) datasets, utilizing reporting dashboards or Jupyter notebooks for programmatic analysis. As a comprehensive solution, Tokern aims to enhance your data's return on investment, ensure compliance with regulations such as HIPAA, CCPA, and GDPR, and safeguard sensitive information against insider threats seamlessly. It provides centralized management for metadata related to users, datasets, and jobs, which supports various other data governance functionalities. With the capability to track Column Level Data Lineage for platforms like Snowflake, AWS Redshift, and BigQuery, users can construct lineage from query histories or ETL scripts. Additionally, lineage exploration can be achieved through interactive graphs or programmatically via APIs or SDKs, offering a versatile approach to understanding data flow. Overall, Tokern empowers organizations to maintain robust data governance while navigating complex regulatory landscapes.

Truedat is a collaborative open-source tool designed for data governance, created by Bluetab Solutions to assist clients in transitioning into data-centric organizations. We specialize in outlining business processes, defining roles and responsibilities, and ensuring that these processes are effectively implemented. Furthermore, we focus on the integration and customization of Truedat’s open-source components to enhance data governance practices. Our commitment includes providing ongoing support and maintenance for the software and processes associated with the solution modules we install. Drawing from over eight years of expertise in Data Governance consulting and development, we have crafted a solution that addresses the challenges of managing and controlling intricate and ever-evolving data architectures. As enterprises increasingly migrate their IT infrastructures to cloud, multi-cloud, and hybrid environments, the complexity and variety of data sources expand, amplifying the demand for Truedat. This solution not only streamlines governance but also empowers organizations to navigate the complexities of modern data landscapes effectively.

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

Matik automates the creation of presentations, documents, and reports directly from your data, powered by AI you can trust. Anyone can instantly generate insights, align messaging, and scale best practices for faster data-driven storytelling that sparks action.

Mage™ offers comprehensive Static Data Masking (SDM) and Test Data Management (TDM) functionalities that are fully compatible with Imperva’s Data Security Fabric (DSF), ensuring robust safeguarding of sensitive or regulated information. This integration occurs smoothly within an organization’s current IT infrastructure and aligns with existing application development, testing, and data processes, all without necessitating any alterations to the existing architectural setup. As a result, organizations can enhance their data security while maintaining operational efficiency.

The Mage™ Dynamic Data Masking module, part of the Mage data security platform, has been thoughtfully crafted with a focus on the needs of end customers. Developed in collaboration with clients, Mage™ Dynamic Data Masking effectively addresses their unique requirements and challenges. Consequently, this solution has advanced to accommodate virtually every potential use case that enterprises might encounter. Unlike many competing products that often stem from acquisitions or cater to niche scenarios, Mage™ Dynamic Data Masking is designed to provide comprehensive protection for sensitive data accessed by application and database users in production environments. Additionally, it integrates effortlessly into an organization’s existing IT infrastructure, eliminating the need for any substantial architectural modifications, thus ensuring a smoother transition for businesses implementing this solution. This strategic approach reflects a commitment to enhancing data security while prioritizing user experience and operational efficiency.

Tonic provides an automated solution for generating mock data that retains essential features of sensitive datasets, enabling developers, data scientists, and sales teams to operate efficiently while ensuring confidentiality. By simulating your production data, Tonic produces de-identified, realistic, and secure datasets suitable for testing environments. The data is crafted to reflect your actual production data, allowing you to convey the same narrative in your testing scenarios. With Tonic, you receive safe and practical data designed to emulate your real-world data at scale. This tool generates data that not only resembles your production data but also behaves like it, facilitating safe sharing among teams, organizations, and across borders. It includes features for identifying, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Tonic also ensures the proactive safeguarding of sensitive data through automatic scanning, real-time alerts, de-identification processes, and mathematical assurances of data privacy. Moreover, it offers advanced subsetting capabilities across various database types. In addition to this, Tonic streamlines collaboration, compliance, and data workflows, delivering a fully automated experience to enhance productivity. With such robust features, Tonic stands out as a comprehensive solution for data security and usability, making it indispensable for organizations dealing with sensitive information.

OmniIndex transforms unstructured data, often referred to as "The other 80%," from various silos into a unified and coherent index, allowing for deeper insights. By integrating with all your customer service applications, including voice transcripts, emails, and chatbots, OmniIndex empowers you to derive answers to unasked questions while simultaneously assessing customer sentiment in real-time. This innovative approach enhances the ability to correlate problems with root causes and resolutions, significantly improving the overall customer experience. With access to timely data from reliable sources, organizations can understand their customers' true thoughts and feelings. Moreover, the OmniIndex Data Intelligence Platform effectively indexes and analyzes information from online web forms and chatbots on various platforms, including Facebook Messenger, thereby enabling organizations to gain valuable insights into customer inquiries and operator interactions in real-time. Ultimately, this comprehensive analysis fosters a more agile response to customer needs, ensuring satisfaction and loyalty in an ever-evolving marketplace.

Data security often operates within isolated environments, yet sensitive information flows through various applications, platforms, storage systems, and devices, complicating the task of scaling security measures and maintaining uniform access controls. Machina offers a flexible and responsive authorization solution designed to tackle the complexities of modern data management. It empowers you to uphold your shared responsibility for securing both data at rest and in transit, whether in cloud settings or on-premises. You can monitor the handling and access of data while also auditing the enforcement of policies throughout your organization. By providing context-aware dynamic authorization for every access request, Machina ensures adherence to the principle of least privilege. It separates access logic from application code, facilitating policy enforcement across diverse environments. Consistent access policies can be implemented and enforced in real-time across various applications, repositories, workloads, and services. Furthermore, you will have the capability to monitor and analyze how data is managed and how policies are enforced within your enterprise, generating audit-ready evidence of compliance and enhancing your overall data governance strategies. This comprehensive approach not only strengthens security but also promotes greater transparency and accountability in data handling practices.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

Jitsu is available as open-source software under the MIT license, providing support for various deployment options such as Heroku, Docker, and Docker-Compose. Its user-friendly interface makes configuration straightforward and accessible for everyone. You can find a comprehensive list of supported destinations, which can either be data warehouses or external services with APIs. Jitsu ensures that data is delivered reliably; in the event that a destination experiences downtime, it retains the data in an internal persistent queue and will transmit it once the destination is back online. Additionally, Jitsu enhances data during the enrichment process through geo resolution, which identifies the user's geographical information such as country, city, and zip code based on their IP address. Jitsu Cloud serves as the SaaS version of our platform, incorporating all the features from the open-source variant while offering up to 250,000 events per month at no cost. This makes it an attractive option for businesses seeking scalable data solutions.

Uncover and rely on data for your analyses and models while enhancing productivity by dismantling silos. Gain instant insights into data usage by others and locate data within your organization effortlessly through a straightforward text search. Utilizing a PageRank-inspired algorithm, the system suggests results based on names, descriptions, tags, and user activity associated with tables or dashboards. Foster confidence in your data with automated and curated metadata that includes detailed information on tables and columns, highlights frequent users, indicates the last update, provides statistics, and offers data previews when authorized. Streamline the process by linking the ETL jobs and the code that generated the data, making it easier to manage table and column descriptions while minimizing confusion about which tables to utilize and their contents. Additionally, observe which data sets are commonly accessed, owned, or marked by your colleagues, and discover the most frequent queries for any table by reviewing the dashboards that leverage that specific data. This comprehensive approach not only enhances collaboration but also drives informed decision-making across teams.

A newly launched map enhances our understanding of oceanic conditions. Our mission focuses on generating and disseminating knowledge regarding human activities in marine environments to promote equitable and sustainable ocean usage. Employing advanced technology, we convert large datasets into practical insights. We firmly believe that awareness of human operations at sea is essential for protecting the global ocean for everyone’s benefit. By fostering transparency, governmental bodies can more efficiently oversee vessels, enabling fishermen to show their compliance without the nation needing to prove wrongdoing. Global Fishing Watch collaborates with top-tier scientific organizations to develop innovative open-source datasets, tackling some of the most pressing issues confronting our oceans. Our open-access visualizations and analytical tools empower scientific inquiry and inspire a fundamental shift in ocean management practices. This initiative not only enhances data accessibility but also encourages broader participation in ocean stewardship.

Superset is a speedy, efficient, and user-friendly tool that offers a wide array of features enabling users of varying expertise to analyze and visualize their data, ranging from basic line graphs to intricate geospatial visualizations. It has the capability to link with any SQL-based data source via SQLAlchemy, accommodating contemporary cloud-native databases and systems that handle vast amounts of data, even at petabyte levels. Not only is Superset lightweight, but it also boasts impressive scalability, making the most of your current data infrastructure without the need for an additional ingestion layer. This flexibility ensures that users can seamlessly integrate Superset into their existing data workflows.

Toolio is a cloud-native AI merchandising platform built for modern retail, designed to automate workflows, deliver real-time insights, and enable seamless collaboration. Replacing spreadsheets and legacy systems, Toolio combines an intuitive, Excel-like interface with robust, flexible planning capabilities. Planners adopt Toolio easily, its familiar grid-based layout supports copy/paste, drag-to-copy, and Excel exports while offering a more powerful planning framework underneath. With a 95%+ adoption rate, guided onboarding, and self-service resources, tangible ROI is realized fast. Toolio’s no-code configuration lets brands and retailers define custom metrics, hierarchies, and workflows, supporting top-down, bottom-up, and middle-out planning. Merchandise, assortment, and allocation planning live in one integrated environment, ensuring targets and decisions stay connected and up to date. Toolio’s AI acts as a planner’s copilot—cleansing data, optimizing forecasts, and surfacing insights across demand, sizing, and clustering. With transparent, explainable models, AI enhances human judgment, helping retailers plan faster, smarter, and with measurable results.