Alternatives to Promethium

Adverity is the fully-integrated data platform for automating the connectivity, transformation, governance and utilization of data at scale. Adverity is the simplest way to get your data how you want it, where you want it, and when you need it. The platform enables businesses to blend disparate datasets such as sales, finance, marketing, and advertising, to create a single source of truth over business performance. Through automated connectivity to hundreds of data sources and destinations, unrivaled data transformation options, and powerful data governance features, Adverity is the easiest way to get your data how you want it, where you want it, and when you need it.

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.

Coco Alemana offers a powerful yet user-friendly platform that accelerates data workflows for scientists, analysts, and engineers by providing a visual interface to explore and manipulate data. This code-optional tool supports working with datasets of any scale, while giving advanced users the flexibility to enhance operations using SQL queries. With its extensive connectivity to remote data sources, users can access data directly without the need for time-consuming transfers. The platform is designed for rapid installation and ease of use, requiring no prior coding knowledge and connecting to data stores in seconds. Coco Alemana integrates deeply with the operating system, ensuring high performance and a smooth user experience. Its visual-first approach helps reduce manual data cleaning and manipulation, saving users significant daily time. Whether handling small or massive datasets, the platform optimizes data insight generation. Coco Alemana is ideal for those looking to streamline and speed up their data processes.

Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.

Lentiq offers a collaborative data lake as a service that empowers small teams to achieve significant results. It allows users to swiftly execute data science, machine learning, and data analysis within the cloud platform of their choice. With Lentiq, teams can seamlessly ingest data in real time, process and clean it, and share their findings effortlessly. This platform also facilitates the building, training, and internal sharing of models, enabling data teams to collaborate freely and innovate without limitations. Data lakes serve as versatile storage and processing environments, equipped with machine learning, ETL, and schema-on-read querying features, among others. If you’re delving into the realm of data science, a data lake is essential for your success. In today’s landscape, characterized by the Post-Hadoop era, large centralized data lakes have become outdated. Instead, Lentiq introduces data pools—interconnected mini-data lakes across multiple clouds—that work harmoniously to provide a secure, stable, and efficient environment for data science endeavors. This innovative approach enhances the overall agility and effectiveness of data-driven projects.

An intuitive, code-free platform designed for sophisticated data analysis, enabling quick and precise insights. Why choose Datavore? Accelerate your workflow by integrating various signals seamlessly. Identify and monitor indicators across multiple datasets to effectively validate and test these signals. Organize your data comprehensively, ensuring everything is cataloged in a single location. Utilize dynamic filters for swift access to both internal and external data. Dive into exploration by creating dashboards that allow for comparison, assessment, and ongoing monitoring of key metrics. Efficiently evaluate and track numerous indicators across different datasets. Conduct thorough proprietary research by building advanced forecasting models and performing regression analyses. This platform offers the flexibility of Excel combined with the scalability of the cloud, allowing for streamlined quantitative research and the automation of repetitive tasks. With Excel-like syntax, you can create custom functions and leverage existing time series formulas. The patented ingestion engine facilitates the discovery of concepts and relationships within expansive datasets. Align your data with the company’s fiscal calendar or other defined timeframes to ensure accuracy in reporting. Aggregate data effectively to enhance your analysis.

Enhance the efficiency of your funnel to enable smarter working practices. In today's fast-paced environment, multifamily marketers must be vigilant about both potential risks and available opportunities. Remarkably empowers you to optimize funnel performance while significantly reducing tedious tasks by up to 95%. Are you spending excessive time identifying the reasons behind property underperformance? With Remarkably, you can promptly rectify these issues. Link your various data sources, obtain actionable insights and notifications, and tackle performance challenges before they escalate. Explore the capabilities of Remarkably Performance to elevate your results. Boost performance and enhance productivity while conserving time and financial resources through automated data aggregation and analysis. Focus on driving profitability by making informed decisions backed by AI-generated insights that help you maintain occupancy and achieve ROI objectives. Prioritize protection by effectively managing real estate risks and identifying opportunities through predictive analytics and sophisticated alerts. Integrate and standardize your data by merging sources like your PMS, CRM, General Ledger, Google Analytics, and others, ensuring a coherent and comprehensive view of your operational landscape. This holistic approach will not only streamline your workflow but also empower you to make strategic decisions confidently.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Scoop is the best thing that has happened to data since spreadsheets. Instantly unlock all your business data. Scoop allows you to combine and analyze data anywhere for better decisions. You can forget about all the resources and tools you need to get answers from your data. Scoop lets you do everything from data collection, spreadsheet analysis and visual data stories in one platform. Data from your business applications can be automatically collected and blended together. Scoop allows any application to push data, without requiring pre-built connectors and custom APIs. Create master datasets for analytics, visualizations and more, using your spreadsheets. Scoop automatically updates your data. From scooping up data from applications to prepping data in spreadsheets, to analyzing and presenting visual data stories. No data team or technical setup is required. Blend data from multiple sources to create beautiful data stories using live, shareable data.

kdb Insights is an advanced analytics platform built for the cloud, enabling high-speed real-time analysis of both live and past data streams. It empowers users to make informed decisions efficiently, regardless of the scale or speed of the data, and boasts exceptional price-performance ratios, achieving analytics performance that is up to 100 times quicker while costing only 10% compared to alternative solutions. The platform provides interactive data visualization through dynamic dashboards, allowing for immediate insights that drive timely decision-making. Additionally, it incorporates machine learning models to enhance predictive capabilities, identify clusters, detect patterns, and evaluate structured data, thereby improving AI functionalities on time-series datasets. With remarkable scalability, kdb Insights can manage vast amounts of real-time and historical data, demonstrating effectiveness with loads of up to 110 terabytes daily. Its rapid deployment and straightforward data ingestion process significantly reduce the time needed to realize value, while it natively supports q, SQL, and Python, along with compatibility for other programming languages through RESTful APIs. This versatility ensures that users can seamlessly integrate kdb Insights into their existing workflows and leverage its full potential for a wide range of analytical tasks.

ParaView is a versatile, open-source application designed for data analysis and visualization across multiple platforms, allowing users to create visual representations for both qualitative and quantitative data analysis. It features interactive 3D exploration capabilities alongside programmatic data processing through its batch processing functionality. Engineered to manage extremely large datasets, ParaView leverages distributed memory computing resources, making it ideal for use on supercomputers that process terascale data as well as on laptops for smaller datasets. The application is built with a client-server architecture, enabling remote visualization of data while generating level-of-detail models to ensure smooth interactive performance even with extensive data. Its extensible framework is grounded in open standards, promoting customization and integration with existing tools and workflows. ParaView supports a wide array of well-known file formats and boasts over 200 filters and tools for effective data processing and visualization. This extensive feature set allows users to tailor their analysis experiences to meet specific needs and enhances collaboration in data-intensive projects.

Power BI provides advanced data analysis, leveraging AI features to transform complex datasets into visual insights. It integrates data into a single source, OneLake, reducing duplication and streamlining analysis. The platform enhances decision-making by integrating insights into everyday tools like Microsoft 365 and is bolstered by Microsoft Fabric for data team empowerment. Power BI is scalable, handling extensive data without performance loss, and integrates well with Microsoft's ecosystem for coherent data management. Its AI tools are user-friendly and contribute to efficient and accurate insights, supported by strong data governance measures. The Copilot function in Power BI enables quick and efficient report creation. Power BI Pro licenses individuals for self-service analytics, while the free account offers data connection and visualization capabilities. The platform ensures ease of use and accessibility, backed by comprehensive training. It has shown a notable return on investment and economic benefits, as reported in a Forrester study. Gartner's Magic Quadrant recognizes Power BI for its ability to execute and completeness of vision.

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.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

Dataplex Universal Catalog provides enterprise-wide visibility and governance for structured, semi-structured, and unstructured data. Its AI-powered semantic search allows users to query data in natural language, eliminating the need for complex search syntax. The platform enriches metadata with business context through glossaries, ownership attributes, and key usage details, supporting informed decision-making. It offers automated metadata ingestion, classification, and enrichment, reducing manual data management tasks. With built-in lineage tracking, organizations can trace data origins, transformations, and dependencies across multiple sources. BigQuery integration brings these governance capabilities directly into the analytics workflow, enhancing productivity. By connecting with BigLake, Dataplex extends governance to open lakehouses with Apache Iceberg and other engines. The result is a secure, scalable foundation for managing data-to-AI lifecycles across cloud-native and open-source ecosystems.

Constellation allows you to connect your data sources to create customized reports and workflows that allow you to see the whole picture. Constellation connects your company's data to you so you can make better, more informed decisions. Constellation provides the information you need for making decisions that save money and make your organization more profitable. Project Tracker QuickTags ShowRoom AR Aging by Salesperson & Store Sales by Salesperson & Store Lien Waiver Report Consolidated Financial Report Multiple DBs - Sales by location WIP Report Store Level Financials Monthly End Sales Report Rolling 12 Report Statement of Cash Flow Tracking Report Report missing ETA

Invenis serves as a robust platform for data analysis and mining, enabling users to easily clean, aggregate, and analyze their data while scaling efforts to enhance decision-making processes. It offers capabilities such as data harmonization, preparation, cleansing, enrichment, and aggregation, alongside powerful predictive analytics, segmentation, and recommendation features. By connecting seamlessly to various data sources like MySQL, Oracle, Postgres SQL, and HDFS (Hadoop), Invenis facilitates comprehensive analysis of diverse file formats, including CSV and JSON. Users can generate predictions across all datasets without requiring coding skills or a specialized team of experts, as the platform intelligently selects the most suitable algorithms based on the specific data and use cases presented. Additionally, Invenis automates repetitive tasks and recurring analyses, allowing users to save valuable time and fully leverage the potential of their data. Collaboration is also enhanced, as teams can work together, not only among analysts but across various departments, streamlining decision-making processes and ensuring that information flows efficiently throughout the organization. This collaborative approach ultimately empowers businesses to make better-informed decisions based on timely and accurate data insights.

Access data from any location, even within a vast array of diverse environments. The most effective method to boost acquisition and retention is through the enrichment of data and models. By leveraging machine learning, new insights can be uncovered by integrating proprietary models, such as propensity models, with data in a secure manner, which enhances customer profiles and models while allowing for rapid scalability. Enriching data alone is insufficient; your team needs to transition smoothly from insights to actionable strategies. Automate the segmentation of audiences and deploy your campaigns instantly across various channels. Make informed targeting decisions to optimize budget utilization and reduce churn rates. Understand the optimal timing and locations for targeting efforts. Equip yourself with the necessary tools to act on data in real-time. Tracking the complete customer journey, along with the various data types involved, has always posed significant difficulties. With the increasing stringency of privacy regulations and the growing distribution of data, it is now more crucial than ever to ensure secure and straightforward access to those intent signals for effective decision-making, which will ultimately enhance overall operational efficiency.

MarketSight offers robust analysis and visualization tools capable of tackling even the most demanding research endeavors, while remaining user-friendly enough for beginners. Researchers and analysts leverage MarketSight to swiftly uncover new insights, create visual representations of their findings, and compile reports. Our expert service team brings extensive knowledge to guide you in meeting your insight goals effectively. Typical services include data management, visualization techniques, and tailored training programs designed to ensure your team thrives. Discover how organizations similar to yours uncover valuable insights with MarketSight’s capabilities. The platform seamlessly accommodates all prominent market research data formats and integrates smoothly with leading data collection tools. By utilizing MarketSight, you can streamline your research processes and achieve your objectives with greater efficiency. Additionally, the platform empowers users to explore data in innovative ways, enhancing the overall research experience.

Empowering business users with the intuitive interface of a spreadsheet combined with the robust capabilities of a business intelligence tool is essential. Traditionally, business intelligence has been associated with the necessity of specialized knowledge, substantial financial investment, and lengthy implementation periods. Although BI tools boast impressive dashboards, they often fall short in reporting, leading users to revert to spreadsheets for their data needs. StarLifter offers a comprehensive solution for all your data analysis requirements in a single platform. While point solutions are designed to address specific challenges within individual departments, they ultimately hinder cross-functional analysis, which frequently ends up back in spreadsheets. By resolving departmental issues and enhancing data analysis across the organization, you can eliminate reliance on delicate formulas and intricate calculations that only a select few comprehend. Moreover, with user-friendly drag-and-drop features, you can achieve a more streamlined and simplified analysis process, making data insights accessible to everyone. This ensures that all stakeholders can engage with data efficiently and effectively, fostering collaboration and informed decision-making throughout the enterprise.

All enterprise data must be integrated, managed, secured, and analyzed. Data is a valuable asset for organizations. There is a lot of it. Structured data such as log files, spreadsheets, tables, and charts. Unstructured data such as emails, documents, images, videos, and spreadsheets. These data are often stored in disconnected systems where they quickly diversify in type and increase in volume, making it more difficult to use each day. People who depend on this data don’t think in terms if rows, columns, or just plain text. They think about their organization's mission, and the challenges they face. They want to be able to ask questions about their data, and get answers in a language that they understand. The Palantir Gotham Platform is your solution. Palantir Gotham combines and transforms any type of data into one coherent data asset. The platform enriches and maps data into meaningfully defined objects, people, places, and events.

AI teams encounter obstacles that necessitate the development of innovative technologies, which we specialize in creating. Traditional data warehouses and lakes struggle to accommodate unstructured data types such as text, images, and videos. Our approach integrates AI with software development, specifically designed for data scientists, machine learning engineers, and data engineers alike. Instead of reinventing existing solutions, we provide a swift and cost-effective route to bring your projects into production. Your data remains securely stored under your control, and model training occurs on your own infrastructure. By addressing the limitations of current data handling methods, we ensure that AI teams can effectively meet their challenges. Our Studio functions as an extension of platforms like GitHub, GitLab, or BitBucket, allowing seamless integration. You can choose to sign up for our online SaaS version or reach out for an on-premise installation tailored to your needs. This flexibility allows organizations of all sizes to adopt our solutions effectively.

Scribble Data empowers organizations to enhance their raw data, enabling swift and reliable decision-making to address ongoing business challenges. This platform provides data-driven support for enterprises, facilitating the generation of high-quality insights that streamline the decision-making process. With advanced analytics driven by machine learning, businesses can tackle their persistent decision-making issues rapidly. You can focus on essential tasks while Scribble Data manages the complexities of ensuring dependable and trustworthy data availability for informed choices. Take advantage of tailored data-driven workflows that simplify data usage and lessen reliance on data science and machine learning teams. Experience accelerated transformation from concept to operational data products in just a few weeks, thanks to feature engineering capabilities that effectively handle large volumes and complex data at scale. Additionally, this seamless integration fosters a culture of data-centric operations, positioning your organization for long-term success in an ever-evolving marketplace.

Displayr serves as a comprehensive analysis and reporting platform specifically designed for survey data, making it the ultimate solution for revealing and disseminating data narratives. This singular application integrates your survey data, analytical processes, visualizations, and reporting, facilitating seamless automation and accelerating insights. Transitioning from multiple complex tools to Displayr can lead to remarkable improvements in efficiency. You can accomplish tasks ranging from data cleaning to analysis and presentation creation in a significantly shorter timeframe. Displayr takes care of routine tasks automatically, while also simplifying the process for conducting advanced analyses independently. It allows for the distribution of dynamic, interactive reports that are continuously linked to the core analysis and original data sources. Utilizing a single tool for all analysis and reporting minimizes the likelihood of errors, and in the event that an error is detected, it can be traced, corrected, and everything can be updated automatically. This not only enhances accuracy but also streamlines your workflow, providing a more cohesive experience overall.

You can quickly find answers with the flexible visual query builder. You can access data via your browser or phone and analyze it anywhere you are. No SQL, data scientist, or desktop required. You can learn from your team mates and search for any questions within your organization with shared questions. @mentions, push notifications and shared chat allow you to bring the right people in the conversation and make data actionable. You can easily copy and modify shared questions, export data and change the way charts are displayed so you don't just see someone else's analysis but make it yours. External sharing can be turned on to allow access to data tables and partners outside your domain. In just two clicks, you can access the underlying data tables. Smart typeaheads make it easy to run custom SQL.

Paxata is an innovative, user-friendly platform that allows business analysts to quickly ingest, analyze, and transform various raw datasets into useful information independently, significantly speeding up the process of generating actionable business insights. Besides supporting business analysts and subject matter experts, Paxata offers an extensive suite of automation tools and data preparation features that can be integrated into other applications to streamline data preparation as a service. The Paxata Adaptive Information Platform (AIP) brings together data integration, quality assurance, semantic enhancement, collaboration, and robust data governance, all while maintaining transparent data lineage through self-documentation. Utilizing a highly flexible multi-tenant cloud architecture, Paxata AIP stands out as the only contemporary information platform that operates as a multi-cloud hybrid information fabric, ensuring versatility and scalability in data handling. This unique approach not only enhances efficiency but also fosters collaboration across different teams within an organization.

Integrate AI-Powered Analytics into Your Spreadsheet Data Effortlessly. With a user-friendly interface reminiscent of Excel, professionals in finance, operations, and sales can harness their data to uncover insights that lead to informed decision-making, enhanced planning, operational efficiency, cost reductions, and revenue growth, all without requiring expertise in statistics, data science, or programming. The answer lies in Aurora Disruptive AI that operates without requiring machine learning. Our SaaS platform seamlessly processes spreadsheet data, providing remarkable insights, trends, correlations, and more within moments, significantly impacting business performance. The integrated AI functionality requires no coding or machine learning knowledge, enabling users to work with imperfect data. AI-Powered Analytics Accessible to All Excel Users. Collect Your Data Effortlessly from spreadsheets, transactional systems, data warehouses, or data marts through direct connections or by selecting files from your desktop. With a straightforward user experience and a Rapid Start training session lasting just an hour, you will quickly be equipped to upload data and create models that drive results. This simplicity ensures that anyone, regardless of their technical background, can leverage the power of AI for their analytics needs.

PaveAI considers your specific objectives, be it boosting sales on an online store or enhancing interaction on a blog, and tailors your report accordingly. Utilizing a sophisticated data science algorithm, it examines over 16 million potential combinations to uncover the key insights relevant to all marketing channels. You will receive actionable, data-driven suggestions on how to maximize your return on investment. The algorithm is adept at sifting through vast amounts of data to pinpoint the most critical insights. PaveAI meticulously analyzes your data, highlighting successful strategies and areas for improvement. Additionally, our team of integration engineers collaborates closely with yours to seamlessly connect to your existing data warehouse, ensuring a smooth transition and optimized performance. With PaveAI, you have a dedicated partner in achieving your marketing goals effectively.

Designed specifically for optimizing compute, memory, and storage, Oxla serves as a self-hosted data warehouse that excels in handling large-scale, low-latency analytics while providing strong support for time-series data. While cloud data warehouses may suit many, they are not universally applicable; as operations expand, the ongoing costs of cloud computing can surpass initial savings on infrastructure, particularly in regulated sectors that demand comprehensive data control beyond mere VPC and BYOC setups. Oxla surpasses both traditional and cloud-based warehouses by maximizing efficiency, allowing for the scalability of expanding datasets with predictable expenses, whether on-premises or in various cloud environments. Deployment, execution, and maintenance of Oxla can be easily managed using Docker and YAML, enabling a range of workloads to thrive within a singular, self-hosted data warehouse. In this way, Oxla provides a tailored solution for organizations seeking both efficiency and control in their data management strategies.

The Flowcore platform offers a comprehensive solution for event streaming and event sourcing, all within a single, user-friendly service. It provides a seamless data flow and reliable replayable storage, specifically tailored for developers working at data-centric startups and enterprises striving for continuous innovation and growth. Your data operations are securely preserved, ensuring that no important information is ever compromised. With the ability to instantly transform and reclassify your data, it can be smoothly directed to any necessary destination. Say goodbye to restrictive data frameworks; Flowcore's flexible architecture evolves alongside your business, effortlessly managing increasing data volumes. By optimizing and simplifying backend data tasks, your engineering teams can concentrate on their core strengths—developing groundbreaking products. Moreover, the platform enables more effective integration of AI technologies, enhancing your offerings with intelligent, data-informed solutions. While Flowcore is designed with developers in mind, its advantages reach far beyond just the technical team, benefiting the entire organization in achieving its strategic goals. With Flowcore, you can truly elevate your data strategy to new heights.

Dataleyk serves as a secure, fully-managed cloud data platform tailored for small and medium-sized businesses. Our goal is to simplify Big Data analytics and make it accessible to everyone. Dataleyk acts as the crucial link to achieve your data-driven aspirations. The platform empowers you to quickly establish a stable, flexible, and reliable cloud data lake, requiring minimal technical expertise. You can consolidate all of your company’s data from various sources, utilize SQL for exploration, and create visualizations using your preferred BI tools or our sophisticated built-in graphs. Transform your data warehousing approach with Dataleyk, as our cutting-edge cloud data platform is designed to manage both scalable structured and unstructured data efficiently. Recognizing data as a vital asset, Dataleyk takes security seriously by encrypting all your information and providing on-demand data warehousing options. While achieving zero maintenance may seem challenging, pursuing this goal can lead to substantial improvements in delivery and transformative outcomes. Ultimately, Dataleyk is here to ensure that your data journey is as seamless and efficient as possible.

OvalEdge, a cost-effective data catalogue, is designed to provide end-to-end data governance and privacy compliance. It also provides fast, reliable analytics. OvalEdge crawls the databases, BI platforms and data lakes of your organization to create an easy-to use, smart inventory. Analysts can quickly discover data and provide powerful insights using OvalEdge. OvalEdge's extensive functionality allows users to improve data access, data literacy and data quality.

Streamline the preparation of all your re/insurance data, encompassing Bordereaux management, MGA reporting, exposure management, fleet auto, aggregation, and clash, all backed by robust data quality assurance. Transform every insurance data source into reliable insights with the Quantemplate SaaS platform, ensuring that you can connect and refine your datasets, regardless of their inconsistencies. Establish data quality standards and swiftly identify any data failures, enabling you to address issues promptly. Efficiently consolidate numerous datasets with the help of intelligent mapping suggestions, and derive valuable customer, market, and pricing insights through versatile analytics tools, or easily export and share your refined data. With a unified cloud solution, you can integrate, automate, and analyze your data sources, achieving insights in mere seconds instead of months. This user-friendly cloud solution will certainly appeal to your IT team, offering full encryption, a comprehensive audit trail, and ISAE and ISO certifications. The zero-code interface empowers you to independently explore, experiment, and implement changes with ease, fostering greater agility in your data management processes. By leveraging these features, you can ensure that your organization remains at the forefront of data-driven decision-making.

Statice is a data anonymization tool that draws on the most recent data privacy research. It processes sensitive data to create anonymous synthetic datasets that retain all the statistical properties of the original data. Statice's solution was designed for enterprise environments that are flexible and secure. It incorporates features that guarantee privacy and utility of data while maintaining usability.

Mitzu.io is a warehouse-native analytics platform tailored for SaaS and e-commerce teams, enabling actionable insights directly from data warehouses or lakes like Snowflake, BigQuery, and Redshift. It eliminates complex data modeling and duplication by working on raw datasets, ensuring streamlined workflows. Mitzu’s standout feature is self-service analytics, empowering non-technical users like marketers and product managers to explore data without SQL expertise. It auto-generates SQL queries based on user interactions for real-time insights into user behavior and engagement. Plus, seat-based pricing is a cost-effective alternative to traditional tools.

Addressing the challenges faced by modern enterprises and industries hinges on the effective utilization of big data. The capability to gather information from various sources within your organization—whether it originates from different applications, individuals, or IoT systems—presents enormous opportunities. Infor’s Data Lake tools offer schema-on-read intelligence coupled with a rapid and adaptable data consumption framework, facilitating innovative approaches to critical decision-making. By gaining streamlined access to your entire Infor ecosystem, you can initiate the process of capturing and leveraging big data to enhance your analytics and machine learning initiatives. Extremely scalable, the Infor Data Lake serves as a cohesive repository, allowing for the accumulation of all your organizational data. As you expand your insights and investments, you can incorporate additional content, leading to more informed decisions and enriched analytics capabilities while creating robust datasets to strengthen your machine learning operations. This comprehensive approach not only optimizes data management but also empowers organizations to stay ahead in a rapidly evolving landscape.

Visual Layer is a production-grade platform built for teams handling image and video datasets at scale. It enables direct interaction with visual data—searching, filtering, labeling, and analyzing—without needing custom scripts or manual sorting. Originally developed by the creators of Fastdup, it extends the same deduplication capabilities into full dataset workflows. Designed to be infrastructure-agnostic, Visual Layer can run entirely on-premise, in the cloud, or embedded via API. It's model-agnostic too, making it useful for debugging, cleaning, or pretraining tasks in any ML pipeline. The system flags anomalies, catch mislabeled frames, and surfaces diverse subsets to improve generalization and reduce noise. It fits into existing pipelines without requiring migration or vendor lock-in, and supports engineers and ops teams alike.

A comprehensive enterprise data virtualization solution enables seamless access to a variety of data sources while establishing a robust foundation of datasets and IT-managed data services suitable for virtually any application. The TIBCO® Data Virtualization system, functioning as a contemporary data layer, meets the dynamic demands of organizations with evolving architectures. By eliminating bottlenecks, it fosters consistency and facilitates reuse by providing on-demand access to all data through a unified logical layer that is secure, governed, and accessible to a wide range of users. With immediate availability of all necessary data, organizations can derive actionable insights and respond swiftly in real-time. Users benefit from the ability to effortlessly search for and choose from a self-service directory of virtualized business data, utilizing their preferred analytics tools to achieve desired outcomes. This shift allows them to concentrate more on data analysis rather than on the time-consuming task of data retrieval. Furthermore, the streamlined process enhances productivity and enables teams to make informed decisions quickly and effectively.

EZlytix offers cloud-based analytics in a box. Our solution is ideal for mid-market manufacturing, distribution, retail organizations, and small-mid-sized law firms. EZlytix combines data from multiple sources, including ERPs (Infor NetSuite Syspro, Odoo, MS Dynamics, Syspro and Syspro), Salesforce, Magento Law Practice Management Software (Clio Manage & Grow), Google Analytics and Facebook. You can also get business insights through pre-built dashboards or reports.

Made by industry experts. Tested at the largest tech companies in the world. Connect your people and connect your data. Every employee can access data. Reduce costs by retiring on-prem infrastructure. Multiply the productivity of your data team. We have a long history supporting open source projects and technical communities. We value the energy, open standards and exchange of ideas that result from passionate professionals coming together for a common cause. Noteable is committed to supporting technical communities, and contributing to open source whenever possible. Noteable is your data platform. It transforms the way data teams work by enabling modern collaboration securely and co-operatively among all your users. You can deploy to a multi-tenant cloud, or a single-tenant virtual-private cluster. You have complete control over the location, network setup, and other details. You set all rules for your cloud.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

Our company specializes in acquiring, transforming, and providing NHS data solutions. Every week, we handle vast amounts of raw data and diligently work to convert it into valuable insights for our clients in the pharmaceutical and medical device sectors. With over nine engaging years in the field, we have developed a wealth of specialized knowledge across various therapy areas. Our understanding of NHS coding updates and disclosure regulations is extensive, perhaps even beyond typical expectations. We offer real-time online sales intelligence tailored for commercial teams, demonstrating its effectiveness in real-world situations. Additionally, our live budget impact models equip your team with the necessary tools to advocate for change to NHS stakeholders. We provide NHS data as a service, seamlessly integrable into your existing data warehouses, CRM systems, or BI platforms. If you seek deeper analytical insights beyond standard volume reporting, our RX-3D™ dataset delivers unique information on patient demographics, adherence, comorbidities, and brand dynamics. This data is instrumental in enhancing your impact on patient care. By leveraging NHS prescribing data intelligence, your brands can significantly contribute to improving the lives of more patients. Moreover, our commitment to innovation ensures that we continuously refine our services to meet the evolving needs of the healthcare industry.

Introduce products that are not only profitable but also in high demand while facing minimal competition. WallySmarter serves as a comprehensive tool designed to enhance and expand your Walmart business effectively. Our platform provides you with precise data and insights from Walmart, presented in an easy-to-navigate interface. You can set up tailored alerts for various team members, enabling quick identification of issues, monitoring of competitors, and safeguarding against lost sales. By simply inputting a product URL, we reveal the exact monthly sales figures for that item on Walmart. Additionally, ensure the protection of your Amazon and Walmart listings with our repricing alerts; our API can automatically adjust prices to comply with Amazon's Terms of Service if discrepancies arise. Discover and validate potential product ideas for Walmart with ease. Enhance your product listings using ChatGPT, while also tracking keyword rankings and identifying the top-performing keywords for any product. Furthermore, gain insights into search volumes and competition levels associated with each keyword, allowing for strategic decision-making and optimization. This holistic approach empowers you to stay ahead in the competitive marketplace.

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