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Compare the Top Data Fabric Software in Brazil as of November 2025

What is Data Fabric Software in Brazil?

Data fabric software is a unified data management platform that provides seamless integration, access, and governance across an organization’s entire data ecosystem, regardless of where the data is stored—on-premises, in the cloud, or in hybrid environments. Data fabric software aims to simplify and optimize data integration, management, and analytics by using advanced automation, artificial intelligence (AI), and machine learning (ML) technologies. It helps businesses ensure data consistency, accessibility, and security across multiple data sources, enabling faster and more informed decision-making. By creating a connected data environment, data fabric software improves data quality, accelerates time-to-insight, and enhances overall operational efficiency. Compare and read user reviews of the best Data Fabric software in Brazil currently available using the table below. This list is updated regularly.

  • 1
    Teradata VantageCloud
    Teradata VantageCloud is a cloud-native data platform that functions as a dynamic data fabric, enabling seamless access, integration, and management of data across multi-cloud and hybrid environments. It unifies structured and semi-structured data from diverse sources into a harmonized layer, supporting real-time analytics, AI/ML workflows, and enterprise-scale governance. VantageCloud’s open architecture ensures interoperability with modern data tools and standards, reducing vendor lock-in. With built-in capabilities for data quality, lineage, and policy enforcement, it empowers organizations to create a trusted, agile data foundation for innovation and insight.
  • 2
    Domo

    Domo

    Domo

    Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.
  • 3
    Gathr.ai

    Gathr.ai

    Gathr.ai

    Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500
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    Starting Price: $0.25/credit
  • 4
    Pentaho

    Pentaho

    Hitachi Vantara

    With an integrated product suite providing data integration, analytics, cataloging, optimization and quality, Pentaho+ enables seamless data management, driving innovation and informed decision-making. Pentaho+ has helped customers achieve a 3x increase in improved data trust, a 7x increase in impactful business results and most importantly, a 70% increase in productivity.
  • 5
    K2View

    K2View

    K2View

    At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
  • 6
    Nexla

    Nexla

    Nexla

    Nexla's AI Integration platform helps enterprises accelerate data onboarding across any connector, format, or schema, breaking silos and enabling production-grade AI with Data Products and agentic retrieval without coding overhead. Leading companies, including Autodesk, Carrier, DoorDash, Instacart, Johnson & Johnson, LinkedIn, and LiveRamp trust Nexla to power mission-critical data operations across diverse environments. With flexible deployment across cloud, hybrid, and on-premises environments, Nexla meets enterprise-grade security and compliance requirements including SOC 2 Type II, GDPR, CCPA, and HIPAA. Nexla delivers 10x faster implementation than traditional alternatives, turning data challenges into competitive advantage.
    Starting Price: $1000/month
  • 7
    Microsoft Fabric
    Reshape how everyone accesses, manages, and acts on data and insights by connecting every data source and analytics service together—on a single, AI-powered platform. All your data. All your teams. All in one place. Establish an open and lake-centric hub that helps data engineers connect and curate data from different sources—eliminating sprawl and creating custom views for everyone. Accelerate analysis by developing AI models on a single foundation without data movement—reducing the time data scientists need to deliver value. Innovate faster by helping every person in your organization act on insights from within Microsoft 365 apps, such as Microsoft Excel and Microsoft Teams. Responsibly connect people and data using an open and scalable solution that gives data stewards additional control with built-in security, governance, and compliance.
    Starting Price: $156.334/month/2CU
  • 8
    SAP Data Intelligence
    Turn data chaos into data value with data intelligence. Connect, discover, enrich, and orchestrate disjointed data assets into actionable business insights at enterprise scale. SAP Data Intelligence is a comprehensive data management solution. As the data orchestration layer of SAP’s Business Technology Platform, it transforms distributed data sprawls into vital data insights, delivering innovation at scale. Provide your users with intelligent, relevant, and contextual insights with integration across the IT landscape. Integrate and orchestrate massive data volumes and streams at scale. Streamline, operationalize, and govern innovation driven by machine learning. Optimize governance and minimize compliance risk with comprehensive metadata management rules. Connect, discover, enrich, and orchestrate disjointed data assets into actionable business insights at enterprise scale.
    Starting Price: $1.22 per month
  • 9
    Senzing

    Senzing

    Senzing

    Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records into common entities in real time as new data is received. The complete view of all records related to every person or organization, across all of your internal and external data sources, can help you reduce costs and enable new revenue opportunities. Companies use Senzing entity resolution API to provide highly accurate views of people, organizations, and their relationships. You can deploy the Senzing entity resolution API on premises or in cloud-native deployments. Data remains in your ecosystem and never flows to Senzing. A free proof of concept can be completed in one day on AWS or on BareMetal. Senzing makes human-intelligent decisions without any pre-training or pre-tuning.
  • 10
    Querona

    Querona

    YouNeedIT

    We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona. Querona uses a built-in Big Data engine to handle growing data volumes. Repeatable queries can be cached or calculated in advance. Optimization needs less effort as Querona automatically suggests query improvements. Querona empowers business analysts and data scientists by putting self-service in their hands. They can easily discover and prototype data models, add new data sources, experiment with query optimization and dig in raw data. Less IT is needed. Now users can get live data no matter where it is stored. If databases are too busy to be queried live, Querona will cache the data.
  • 11
    Tengu

    Tengu

    Tengu

    TENGU is a DataOps Orchestration Platform that works as a central workspace for data profiles of all levels. It provides data integration, extraction, transformation, loading all within it’s graph view UI in which you can intuitively monitor your data environment. By using the platform, business, analytics & data teams need fewer meetings and service tickets to collect data, and can start right away with the data relevant to furthering the company. The Platform offers a unique graph view in which every element is automatically generated with all available info based on metadata. While allowing you to perform all necessary actions from the same workspace. Enhance collaboration and efficiency, with the ability to quickly add and share comments, documentation, tags, groups. The platform enables anyone to get straight to the data with self-service. Thanks to the many automations and low to no-code functionalities and built-in assistant.
  • 12
    Cinchy

    Cinchy

    Cinchy

    Cinchy is a data platform that enables teams, systems, and AI to securely manage and share data across the organization in real time—eliminating the need for complex and costly integrations. With simplified data management and real-time bidirectional updates across the network, Cinchy streamlines ERP and CRM consolidations, accelerates digital transformation, maximizes AI, and provides a single view customer 360, all with embedded data level access controls and governance.
  • 13
    IBM Cloud Pak for Data
    The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.
    Starting Price: $699 per month
  • 14
    AtScale

    AtScale

    AtScale

    AtScale helps accelerate and simplify business intelligence resulting in faster time-to-insight, better business decisions, and more ROI on your Cloud analytics investment. Eliminate repetitive data engineering tasks like curating, maintaining and delivering data for analysis. Define business definitions in one location to ensure consistent KPI reporting across BI tools. Accelerate time to insight from data while efficiently managing cloud compute costs. Leverage existing data security policies for data analytics no matter where data resides. AtScale’s Insights workbooks and models let you perform Cloud OLAP multidimensional analysis on data sets from multiple providers – with no data prep or data engineering required. We provide built-in easy to use dimensions and measures to help you quickly derive insights that you can use for business decisions.
  • 15
    CluedIn

    CluedIn

    CluedIn

    CluedIn has the quickest implementation time of any master data management platform on the market. CluedIn has transformed traditional MDM into an augmented experience. Less manual work. Better results. This is simply impossible with traditional MDM. CluedIn has revolutionized a new type of MDM with no restrictions. CluedIn has been designed to remove the standard complexities with traditional MDM. CluedIn is a cloud-native Master Data Management platform that was built to run at low cost. Enterprise software that has the onboarding simplicity of buying a SAAS platform. Whereas traditional MDM vendors will ask you to stitch together different products into an end to end story, we have stitched together the common pillars of master data management for you. We took a knife to traditional master data management and came out the other side with techniques that automate the hardest parts of the process and render traditional approaches as obsolete.
    Starting Price: $28,500 per year
  • 16
    Fraxses

    Fraxses

    Intenda

    There are many products on the market that can help companies to do this, but if your priorities are to create a data-driven enterprise and to be as efficient and cost-effective as possible, then there is only one solution you should consider: Fraxses, the world’s foremost distributed data platform. Fraxses provides customers with access to data on demand, delivering powerful insights via a solution that enables a data mesh or data fabric architecture. Think of a data mesh as a structure that can be laid over disparate data sources, connecting them, and enabling them to function as a single environment. Unlike other data integration and virtualization platforms, the Fraxses data platform has a decentralized architecture. While Fraxses fully supports traditional data integration processes, the future lies in a new approach, whereby data is served directly to users without the need for a centrally owned data lake or platform.
  • 17
    Infor OS
    Infor OS is your cloud operating platform for the future, designed to bring productivity, business processes and Artificial Intelligence together, and offer operational insights that were never accessible to a business before. The platform delivers technology that goes beyond enabling business, it drives it, putting the user at the centre of every experience, and serving as a unifying foundation for your entire business ecosystem. The result is a connected, intelligent network that automates, anticipates, predicts, and informs your stakeholders, unifying your business. By marrying business processes to employee communications, Infor OS's collaboration capabilities allow you to contextualise intelligence, make single sign-on a reality, and increase efficiency by enabling employees to work smarter and faster. Quickly develop enterprise capabilities tailored to your needs with the extensibility provided by Infor OS.
  • 18
    Aggua

    Aggua

    Aggua

    Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure.
  • 19
    Stratio

    Stratio

    Stratio

    A unified secure business data layer providing instant answers for business and data teams. Stratio generative AI data fabric covers the whole lifecycle of data management from data discovery, and governance, to use and disposal. Your organization has data all over the place, different divisions use different apps to do different things. Stratio uses AI to find all your data, whether it's on-prem or in the cloud. That means you can be sure that you're treating data appropriately. If you can't see your data as soon as its generated, you´ll never move as fast as your customers. With most data infrastructure, it can take hours to process customer data. Stratio accesses 100% of your data in real-time without moving it, so you can act quickly without losing the all-important context. Only by unifying the operational and informational in a collaborative platform companies will be able to move to instant extended AI.
  • 20
    Irion EDM
    Irion EDM is end-to-end, agile, accountable, data fabric-ready. Reduce costs and exploit SQL skills. An open, scalable and efficient system based on the innovative and disruptive “declarative” paradigm to implement and govern all phases of your data management process. Configure your data pipeline to acquire, control, and transform your data (database, app, social, API, etc.) Access all information without the need for specific extraction and normalization systems. Easily configure your business rules thanks to an intuitive user editor. Classify, enrich, and control all your data and define a single, centralized data & rules dictionary. Browse the results of your data processing (operational data, control statistics, KPIs, etc.) through a multi-template web dashboard. Configure the publication model and choose which data assets you want to publish and how. Delegate to the product the execution of all processes and intermediate steps.
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