Best Data Management Software in the UK - Page 100

Compare the Top Data Management Software in the UK as of June 2026 - Page 100

  • 1
    Evolution AI

    Evolution AI

    Evolution AI

    We provide a sample of extracted data so you can quickly make an informed decision. Get your project off the ground in less than 24 hours. Costly human intervention is kept to a minimum. Our AI algorithms extract data from documents with 99.5%+ accuracy, this is guaranteed by SLA. Our clients value the accuracy provided by human oversight combined with the cost-effectiveness of artificial intelligence. Evolution AI leads a research consortium funded by the UK government, including university, government and corporate members, which has allowed us to develop several breakthrough algorithms. We have trained our models on one of the largest data sets of labeled documents ever assembled, containing over 25 million documents. Evolution AI allows data extraction from complex documents without defining any rules or writing code. Using our simple point and click interface we can quickly identify any data point you wish to extract from a document.
  • 2
    Smart Engines

    Smart Engines

    Smart Engines

    Green AI-powered scanner SDK of ID cards, passports, driver’s licenses, residence permits, visas, and other ids, more than 1834+ types in total. Provides eco-friendly, fast and precise scanning SDK for a smartphone, web, desktop or server, works fully autonomously. Extracts data from photos and scans, as well as in the video stream from a smartphone or web camera, is robust to capturing conditions. No data transfer — ID scanning is performed on-device and on-premise. Automatic scanning of machine-readable zones (MRZ); all types of credit cards: embossed, indent-printed, and flat-printed; barcodes: PDF417, QR code, AZTEC, DataMatrix, and others on the fly by a smartphone’s camera. Provides high-quality MRZ, barcode, and credit card scanning in mobile applications on-device regardless of lighting conditions. Supports card scanning of 21 payment systems.
  • 3
    Sybrin AI
    Sybrin AI is a fully integrated technology stack powered by computer vision, machine learning, and data science designed to intelligently automate business processes. A comprehensive framework for extracting and understanding data from non-traditional data sources, documents, images, and video. Seamless, real-time ID capture and extraction of any ID document across the globe. Sybrin intelligent document capture is designed to enable the integration of image capture, clean up, recognition, and data extraction into your application. Verify that the person behind a remote interaction is a real person and is physically present through active or passive liveness detection using image processing techniques and neural networks to prevent spoof attacks. Sybrin Identity Verification validates the identity of the person who is actioning the transaction by matching the person’s identity document details against a live selfie and third-party database.
  • 4
    IRISXtract
    Companies receive tons of documents and information on a daily basis, both paper and electronic. Processing these documents is time consuming and resource intensive. IRISXtract™ automatically classifies documents and extracts essential data. It transfers the relevant information to your business process applications, faster and more efficiently than any manual processing. Our software ensures paperless processing of the best quality, in every language, for every document and every process. An innovative AI-based classification engine that uses statistical operators, based on certain features and characteristic values, to analyze documents. The data extraction is based on a free-form, full-text approach, that requires no templates, manual configuration or complicated training.
  • 5
    Zuva DocAI
    Everything you need to capture critical data across your organization. Access context-aware machine learning models to extract relevant information from your documents. Use our specialized classifiers to identify business document types. Distinguish across employee contracts, leases, supply agreements, and more. Quickly identify the language your document is written in. Know if your documents are in English, Portuguese, German and other languages. Create and retrieve OCR text and images from over 20 file types including email, word documents, and PDFs. Use any AI model from our library of 1000+ built-in clause and provision models, trained by our in-house team of experts to decrease initial uplift. Zuva DocAI is powered by Zuva’s patented ML technology trusted by top law firms and enterprises to identify, extract, and analyze content in documents with unparalleled accuracy. Build your own AI applications that meet your unique needs.
  • 6
    Azure HDInsight
    Run popular open-source frameworks—including Apache Hadoop, Spark, Hive, Kafka, and more—using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open-source project ecosystem with the global scale of Azure. Easily migrate your big data workloads and processing to the cloud. Open-source projects and clusters are easy to spin up quickly without the need to install hardware or manage infrastructure. Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use. Enterprise-grade security and industry-leading compliance with more than 30 certifications helps protect your data. Optimized components for open-source technologies such as Hadoop and Spark keep you up to date.
  • 7
    Azure Data Lake Storage
    Eliminate data silos with a single storage platform. Optimize costs with tiered storage and policy management. Authenticate data using Azure Active Directory (Azure AD) and role-based access control (RBAC). And help protect data with security features like encryption at rest and advanced threat protection. Highly secure with flexible mechanisms for protection across data access, encryption, and network-level control. Single storage platform for ingestion, processing, and visualization that supports the most common analytics frameworks. Cost optimization via independent scaling of storage and compute, lifecycle policy management, and object-level tiering. Meet any capacity requirements and manage data with ease, with the Azure global infrastructure. Run large-scale analytics queries at consistently high performance.
  • 8
    Azure Databricks
    Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).
  • 9
    Moonoia docBrain
    The docBrain platform brings together machine learning, data science, solution engineering and DevOps for document-centric productive purpose. Deep learning technology allows you to train AI models from the bottom up and create unique solutions that address your specific document challenges. Use docBrain's pre-trained models to access years' worth of learning and ensure a minimum return on investment prior to any training. Whether you train the AI yourself or use the models off-the-shelf, the solutions you deploy with docBrain will easily integrate with your business systems. docBrain was created in-house to solve Moonoia’s own document processing challenges created mainly by error-prone and costly manual data validation that was slowing down end-to-end processes, making automation impossible. Market-available OCR technologies were unable to achieve the accuracy levels required for straight-through processing, especially for handwritten, unstructured or low-quality documents.
  • 10
    Datafold

    Datafold

    Datafold

    Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.
  • 11
    Qlik Gold Client
    Qlik Gold Client improves the efficiency, cost and security of managing test data in SAP environments. Qlik Gold Client is designed to eliminate development workarounds by easily moving configuration, master, and transactional data subsets into testing environments. Rapidly define, copy and synchronize transactional data from production to non-production targets. Identify, select, and delete non-production data. Manage extensive and powerful data transformations through a clean and easy-to-use interface. Automate data selection and enable hands-free test data refresh cycles, reducing time and effort for test data management. Qlik Gold Client provides several options to protect PII data in non-production environments via data masking. Data masking applies a set of rules to “scramble” your production data when it’s replicated to a non-production environment.
  • 12
    Tungsten Transformation

    Tungsten Transformation

    Tungsten Automation

    Classify large volumes of documents and accurately extract information. Tungsten Transformation accelerates business processes by replacing manual document classification, separation and extraction with touchless processing, speeding you along on your digital workflow transformation journey. Automate the understanding of any document type and the data on those documents for later processing or storage. Realize efficiencies in document capture processes and avoid costly integrations utilizing the Tungsten Capture and Tungsten Transformation system. Increase productivity and accelerate business processes by removing the need for manual document classification, separation and extraction. Process more transactions easily and efficiently and improve the flow of information throughout your organization.
  • 13
    Cloudera Data Platform
    Unlock the potential of private and public clouds with the only hybrid data platform for modern data architectures with data anywhere. Cloudera is a hybrid data platform designed for unmatched freedom to choose—any cloud, any analytics, any data. Cloudera delivers faster and easier data management and data analytics for data anywhere, with optimal performance, scalability, and security. With Cloudera you get all the advantages of private cloud and public cloud for faster time to value and increased IT control. Cloudera provides the freedom to securely move data, applications, and users bi-directionally between the data center and multiple data clouds, regardless of where your data lives.
  • 14
    Datametica

    Datametica

    Datametica

    At Datametica, our birds with unprecedented capabilities help eliminate business risks, cost, time, frustration, and anxiety from the entire process of data warehouse migration to the cloud. Migration of existing data warehouse, data lake, ETL, and Enterprise business intelligence to the cloud environment of your choice using Datametica automated product suite. Architecting an end-to-end migration strategy, with workload discovery, assessment, planning, and cloud optimization. Starting from discovery and assessment of your existing data warehouse to planning the migration strategy – Eagle gives clarity on what’s needed to be migrated and in what sequence, how the process can be streamlined, and what are the timelines and costs. The holistic view of the workloads and planning reduces the migration risk without impacting the business.
  • 15
    Varada

    Varada

    Varada

    Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance.
  • 16
    Data Lakes on AWS
    Many Amazon Web Services (AWS) customers require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is a new and increasingly popular way to store and analyze data because it allows companies to manage multiple data types from a wide variety of sources, and store this data, structured and unstructured, in a centralized repository. The AWS Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data. To support our customers as they build data lakes, AWS offers the data lake solution, which is an automated reference implementation that deploys a highly available, cost-effective data lake architecture on the AWS Cloud along with a user-friendly console for searching and requesting datasets.
  • 17
    Infor Data Lake
    Solving today’s enterprise and industry challenges requires big data. The ability to capture data from across your enterprise—whether generated by disparate applications, people, or IoT infrastructure–offers tremendous potential. Infor’s Data Lake tools deliver schema-on-read intelligence along with a fast, flexible data consumption framework to enable new ways of making key decisions. With leveraged access to your entire Infor ecosystem, you can start capturing and delivering big data to power your next generation analytics and machine learning strategies. Infinitely scalable, the Infor Data Lake provides a unified repository for capturing all of your enterprise data. Grow with your insights and investments, ingest more content for better informed decisions, improve your analytics profiles, and provide rich data sets to build more powerful machine learning processes.
  • 18
    AWS Lake Formation
    AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake lets you break down data silos and combine different types of analytics to gain insights and guide better business decisions. Setting up and managing data lakes today involves a lot of manual, complicated, and time-consuming tasks. This work includes loading data from diverse sources, monitoring those data flows, setting up partitions, turning on encryption and managing keys, defining transformation jobs and monitoring their operation, reorganizing data into a columnar format, deduplicating redundant data, and matching linked records. Once data has been loaded into the data lake, you need to grant fine-grained access to datasets, and audit access over time across a wide range of analytics and machine learning (ML) tools and services.
  • 19
    Oracle Cloud Infrastructure Data Lakehouse
    A data lakehouse is a modern, open architecture that enables you to store, understand, and analyze all your data. It combines the power and richness of data warehouses with the breadth and flexibility of the most popular open source data technologies you use today. A data lakehouse can be built from the ground up on Oracle Cloud Infrastructure (OCI) to work with the latest AI frameworks and prebuilt AI services like Oracle’s language service. Data Flow is a serverless Spark service that enables our customers to focus on their Spark workloads with zero infrastructure concepts. Oracle customers want to build advanced, machine learning-based analytics over their Oracle SaaS data, or any SaaS data. Our easy- to-use data integration connectors for Oracle SaaS, make creating a lakehouse to analyze all data with your SaaS data easy and reduces time to solution.
  • 20
    LeadEnrich

    LeadEnrich

    LeadEnrich

    LeadEnrich helps companies build and enrich prospect data. Don't get locked in annual contracts with data providers. LeadEnrich is the easiest way to build validated prospect lists and clean up customer data. Our real-time list building and enrichment solution is a pay-as-you-go model. LeadEnrich saves teams hundreds of hours in manually building and cleaning prospecting lists.
    Starting Price: $299 per month
  • 21
    Hammerspace

    Hammerspace

    Hammerspace

    Hammerspace is a revolutionary storage platform that unlocks unused local NVMe storage in GPU servers to accelerate AI training and checkpointing. It transforms siloed, stranded storage into a shared, ultra-fast tier that dramatically increases GPU utilization and reduces the need for costly external storage systems. By using a standards-based parallel file system, Hammerspace delivers low-latency, high-throughput data access that scales to thousands of GPU servers. The platform helps cut power consumption and infrastructure costs while boosting AI workload performance. Leading organizations like Meta rely on Hammerspace to optimize their AI infrastructure. With easy deployment and rapid scaling, Hammerspace enables teams to get AI models trained faster and more efficiently.
  • 22
    NavigatorCRE

    NavigatorCRE

    NavigatorCRE

    View your portfolio of assets from 30,000ft down to a single-tenant lease. Connect PM data and asset data seamlessly. Understand your global footprint, location intelligence, options, expirations and headcount. Manage critical dates, headcount and upcoming obligations. A comprehensive database for your deals, comps, market intelligence with pitch tools and client-driven lease administration. Track current projects and future sites alongside market trends and analytics to have the full view of your projects throughout the build process. The Commercial Real Estate business is one of the oldest, most profitable, expansive and important industries in the world. However, it is wrought with provinciality and limited innovation which has been to its detriment. But it's not CRE's fault necessarily, the technology industry has not serviced the industry with enterprise platforms that can take on the immense amounts of property, tenant, transaction and operational data.
  • 23
    Lido

    Lido

    Lido

    Connect, analyze, and visualize all of your data in a single spreadsheet. Connect your data with clicks, not code. Easily join and populate company data from 20+ of the most popular databases and SaaS applications, including Facebook, Google, and Snowflake. Create dashboards you want to share. Say goodbye to ugly charts and hours of formatting. Instantly tie data across multiple sources. Just like Excel & Google Sheets. Slice and dice your data into different views. Build a dashboard in less time than it takes to create a Jira ticket. We proxy the requests sent to external databases to monitor things and send your credentials securely over the server-side. None of the data returned by your database or third-party SaaS integrations are stored on Lido's servers. We encrypt all data, which means your in-transit data is encrypted with TLS and your at-rest data is encrypted with AES-256 making it unreadable to outside people.
  • 24
    doolytic

    doolytic

    doolytic

    doolytic is leading the way in big data discovery, the convergence of data discovery, advanced analytics, and big data. doolytic is rallying expert BI users to the revolution in self-service exploration of big data, revealing the data scientist in all of us. doolytic is an enterprise software solution for native discovery on big data. doolytic is based on best-of-breed, scalable, open-source technologies. Lightening performance on billions of records and petabytes of data. Structured, unstructured and real-time data from any source. Sophisticated advanced query capabilities for expert users, Integration with R for advanced and predictive applications. Search, analyze, and visualize data from any format, any source in real-time with the flexibility of Elastic. Leverage the power of Hadoop data lakes with no latency and concurrency issues. doolytic solves common BI problems and enables big data discovery without clumsy and inefficient workarounds.
  • 25
    DryvIQ

    DryvIQ

    DryvIQ

    Gain deep and robust insight into your unstructured enterprise data to gauge risk, mitigate threats and vulnerabilities, while enabling better business decisions. Classify, label and organize unstructured data at enterprise scale. Enable rapid, accurate and detailed identification of sensitive and high-risk files and provide deep insight via A.I. Enable continuous visibility across both new and existing unstructured data. Enforce policy, compliance and governance decisions without reliance upon manual input from users. Expose dark data while automatically classifying and organizing sensitive and other content groups at scale—so you can make intelligent decisions on where and how to migrate that data. The platform also enables both simple and advanced file transfers across virtually any cloud service, network file system or legacy ECM platform, at scale.
  • 26
    Salt

    Salt

    Salt Security

    The Salt Security API Security Platform protects APIs across their full lifecycle – build, deploy and runtime phases. Only Salt can capture and baseline all API traffic -- all calls and responses -- over days, weeks, even months. Salt uses this rich context to detect the reconnaissance activity of bad actors and block them before they can reach their objective. The Salt API Context Engine (ACE) architecture discovers all APIs, pinpoints and stops API attackers, and provides remediation insights learned during runtime to harden APIs. Only Salt applies cloud-scale big data to address API security challenges. Salt applies its AI and ML algorithms, which have been in the market for more than four years, to provide real-time analysis and correlation across billions of API calls. That level of context is essential for rich discovery, accurate data classification, and the ability to identify and stop “low and slow” API attacks, which occur over time. On prem solutions simply lack the data.
  • 27
    reciTAL

    reciTAL

    reciTAL

    reciTAL is an Artificial Intelligence software editor. First Intelligent Document Processing player with a Deep Tech label, reciTAL automates your extraction, classification and search processes, for all types of document and email flows. At any time, you can re-train a model taking into consideration user feedback. The reciTAL team guides you through deployment in your internal Kubernetes or via Docker Compose. Basic business rules are then implemented in a few minutes to configure your data points. Depending on the level of confidence reached, the extracted data are validated or not by an operator. The configuration of a new type of document is done with unparalleled simplicity and speed. Validated data is used for continuous performance improvement.
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    SHREWD Platform

    SHREWD Platform

    Transforming Systems

    Harness your whole system’s data with ease, with our SHREWD Platform tools and open APIs. SHREWD Platform provides the integration and data collection tools the SHREWD modules operate from. The tools aggregate data, storing it in our secure, UK-based data lake. This data is then accessed by the SHREWD modules or an API, to transform the data into meaningful information with targeted functions. Data can be ingested by SHREWD Platform in almost any format, from analog in spreadsheets, to digital systems via APIs. The system’s open API can also allow third-party connections to use the information held in the data lake, if required. SHREWD Platform provides an operational data layer that is a single source of the truth in real-time, allowing the SHREWD modules to provide intelligent insights, and managers and key decision-makers to take the right action at the right time.
  • 29
    PILTYIX

    PILTYIX

    PILTYIX

    An AI technology company dedicated to solutions that generate revenue, save time, and reduce costs for universities and sports & entertainment organizations. Sales teams exist to maximize your profitability. In an age of spam blockers, reduced budgets, and workforce reductions, teams need an edge to stay motivated and ensure the most motivated and at-risk customers don’t get lost in an unprioritized pile of leads. PILTYIX sports and entertainment sales solutions ensure your teams are concentrating on the right business at the right time, maintaining their maximum efficiency and garnering the highest possible revenue in the shortest period of time. Your best sales prospects are constantly moving targets, their interest levels vacillate based on team performance, life circumstances, and financial priorities. These real-time data changes influence your prospect’s likelihood to purchase.
  • 30
    Amadea

    Amadea

    ISoft

    Amadea technology relies on the fastest real-time calculation and modeling engine on the market. Speed up the creation, deployment and automation of your analytics projects within the same integrated environment. Data quality is the key to analytical projects. Thanks to the ISoft real-time calculation engine, the fastest on the market, Amadea allows companies to prepare and use massive and/or complex data in real-time, regardless of the volume. ISoft started from a simple observation, successful analytical projects must involve the business users at every stage. Founded on a no-code interface, accessible to all types of users, Amadea allows everyone involved in analytical projects to take part. As Amadea has the fastest real-time calculation engine on the market, it lets you specify, prototype and build your data applications simultaneously. Amadea incorporates the fastest real-time data analysis engine on the market, 10 million lines per second & per core for standard calculations.
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