Best Data Fabric Software of 2025

Find and compare the best Data Fabric software in 2025

Use the comparison tool below to compare the top Data Fabric software on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Domo Reviews
    Top Pick
    Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.
  • 2
    Pentaho Reviews
    Pentaho+ is an integrated suite of products that provides data integration, analytics and cataloging. It also optimizes and improves quality. This allows for seamless data management and drives innovation and informed decisions. Pentaho+ helped customers achieve 3x more improved data trust and 7x more impactful business results, as well as a 70% increase productivity.
  • 3
    Imperva Data Security Fabric Reviews
    Safeguard your data comprehensively with a robust, enterprise-level security solution that spans multicloud, hybrid, and on-premises environments, accommodating all types of data. Enhance security measures across diverse platforms while seamlessly discovering and categorizing structured, semi-structured, and unstructured data. Assess and prioritize data risks by considering both incident context and the potential for additional capabilities. Streamline data management through a unified service or dashboard that centralizes oversight. Guard against unauthorized data exposure and prevent breaches effectively. Make data-centric security, compliance, and governance processes simpler and more efficient. Create a consolidated perspective to glean insights on vulnerable data and users, while actively managing a Zero Trust framework and enforcing relevant policies. Leverage automation and workflows to save both time and resources, and ensure support for a wide range of file shares and data repositories, including those in public, private, data center, and third-party cloud environments. Address not only your current requirements but also future integrations as you evolve and expand cloud use cases, thereby enhancing your overall data security strategy. By implementing these measures, you can significantly bolster your organization’s resilience against data-related threats.
  • 4
    K2View Reviews
    K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.
  • 5
    Teradata VantageCloud Reviews
    VantageCloud by Teradata is a next-gen cloud analytics ecosystem built to unify disparate data sources, deliver real-time AI-powered insights, and drive enterprise innovation with unprecedented efficiency. The platform includes VantageCloud Lake, designed for elastic scalability and GPU-accelerated AI workloads, and VantageCloud Enterprise, which supports robust analytics capabilities across secure hybrid and multi-cloud deployments. It seamlessly integrates with leading cloud providers like AWS, Azure, and Google Cloud, and supports open table formats like Apache Iceberg for greater data flexibility. With built-in support for advanced analytics, workload management, and cross-functional collaboration, VantageCloud provides the agility and power modern enterprises need to accelerate digital transformation and optimize operational outcomes.
  • 6
    Dataddo Reviews

    Dataddo

    Dataddo

    $35/source/month
    Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and other data storages. Dataddo offers three main products: - Data to Dashboards, which lets users send data from online sources straight to dashboarding apps like Tableau, Power BI, and Google Data Studio for insights in record time. A free version is available for this product! - Data Anywhere, which enables users to send data from any A to any B—from apps to warehouses or dashboards (ETL, end to end), between warehouses (ETL), and from warehouses back into apps (reverse ETL). - Headless Data Integration, which allows enterprises to build their own data products on top of the unified Dataddo API and get all integrations in one. The company’s engineers manage all API changes, proactively monitor and fix pipelines, and build new connectors free of charge in around 10 business days. The platform is SOC 2 Type II certified and compliant with all major data privacy laws around the globe, including ISO 27001. From the first log-in to complete, automated pipelines, get your data flowing from sources to destinations in just a few clicks.
  • 7
    Dagster+ Reviews

    Dagster+

    Dagster Labs

    $0
    Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.
  • 8
    Nexla Reviews

    Nexla

    Nexla

    $1000/month
    Nexla's automated approach to data engineering has made it possible for data users for the first time to access ready-to-use data without the need for any connectors or code. Nexla is unique in that it combines no-code and low-code with a developer SDK, bringing together users of all skill levels on one platform. Nexla's data-as a-product core combines integration preparation, monitoring, delivery, and monitoring of data into one system, regardless of data velocity or format. Nexla powers mission-critical data for JPMorgan and Doordash, LinkedIn LiveRamp, J&J, as well as other leading companies across industries.
  • 9
    MANTA Reviews
    Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.
  • 10
    data.world Reviews

    data.world

    data.world

    $12 per month
    data.world is a cloud-native service meticulously designed for contemporary data architectures, ensuring seamless management of updates, migrations, and ongoing maintenance. This streamlined setup process is complemented by a vast and expanding ecosystem of pre-built integrations with all major cloud data warehouses. When prompt results are essential, your team should concentrate on addressing genuine business challenges rather than grappling with cumbersome data management software. data.world simplifies the process for all users, not just data experts, enabling them to obtain clear, precise, and prompt answers to various business inquiries. Our platform features a cloud-based data catalog that connects isolated and distributed data to well-known business concepts, fostering a cohesive knowledge base that everyone can access, comprehend, and utilize. Furthermore, beyond our enterprise solutions, data.world hosts the largest collaborative open data community globally, where individuals collaborate on diverse projects ranging from social bot detection to acclaimed data journalism initiatives, promoting innovation and shared learning. This unique environment encourages knowledge sharing and empowers users to leverage data in creative and impactful ways.
  • 11
    SAP Data Intelligence Reviews
    Transform the chaos of data into meaningful value through the power of data intelligence. By connecting, discovering, enriching, and orchestrating fragmented data resources, organizations can derive actionable insights that drive business success on an enterprise level. SAP Data Intelligence serves as a holistic solution for data management. Acting as the orchestration layer for SAP’s Business Technology Platform, it converts scattered data landscapes into essential insights that foster large-scale innovation. Empower your users with intelligent, relevant, and contextual insights through seamless integration across the entire IT ecosystem. Effectively manage and orchestrate vast volumes of data and streams to enhance operational efficiency. Additionally, streamline processes, operationalize machine learning-driven innovations, and establish robust governance frameworks to mitigate compliance risks with comprehensive metadata management strategies. As data continues to evolve, maintaining a clear focus on actionable insights will be crucial for sustaining enterprise growth.
  • 12
    Senzing Reviews
    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 about people, organizations and their relationships in real time as new data is received. The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc. Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
  • 13
    Qubitro Reviews

    Qubitro

    Qubitro

    $2 per device per month
    Qubitro facilitates teamwork on device data and contemporary application creation. It imposes no restrictions on data ingestion or extraction, ensuring they do not impact overall usage. With built-in support for widely-used data sources, Qubitro also offers tools for seamless real-time collaboration on your initiatives alongside scalable infrastructure. To utilize Qubitro effectively, one must establish a project that organizes various data sources and platform functionalities. Additionally, enhance your startup's offerings through effective event planning and strategic marketing efforts. By leveraging these features, Qubitro empowers teams to innovate and expand their projects efficiently.
  • 14
    Querona Reviews
    We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.
  • 15
    Atlan Reviews
    The contemporary data workspace transforms the accessibility of your data assets, making everything from data tables to BI reports easily discoverable. With our robust search algorithms and user-friendly browsing experience, locating the right asset becomes effortless. Atlan simplifies the identification of poor-quality data through the automatic generation of data quality profiles. This includes features like variable type detection, frequency distribution analysis, missing value identification, and outlier detection, ensuring you have comprehensive support. By alleviating the challenges associated with governing and managing your data ecosystem, Atlan streamlines the entire process. Additionally, Atlan’s intelligent bots analyze SQL query history to automatically construct data lineage and identify PII data, enabling you to establish dynamic access policies and implement top-notch governance. Even those without technical expertise can easily perform queries across various data lakes, warehouses, and databases using our intuitive query builder that resembles Excel. Furthermore, seamless integrations with platforms such as Tableau and Jupyter enhance collaborative efforts around data, fostering a more connected analytical environment. Thus, Atlan not only simplifies data management but also empowers users to leverage data effectively in their decision-making processes.
  • 16
    Tengu Reviews
    TENGU is a Data orchestration platform that serves as a central workspace for all data profiles to work more efficiently and enhance collaboration. Allowing you to get the most out of your data, faster. It allows complete control over your data environment in an innovative graph view for intuitive monitoring. Connecting all necessary tools in one workspace. It enables self-service, monitoring and automation, supporting all data roles and operations from integration to transformation.
  • 17
    Trustgrid Reviews
    Trustgrid is the SD-WAN for software providers. The Trustgrid platform uniquely addresses the needs of SaaS application providers who rely on customer or partner-controlled environments. By combining an SD-WAN 2.0, edge computing, and zero trust remote access into a single platform we allow software providers to manage and support distributed application environments from the cloud to the edge. Simplify connectivity, enhance security, and guarantee network availability with Trustgrid.
  • 18
    Veracity Data Fabric Reviews

    Veracity Data Fabric

    Veracity

    €420 per year
    Veracity Data Fabric serves as a secure environment for managing data in both cloud and on-premise settings. It enables users to centralize all types of information, ranging from data streams to discrete data objects, facilitated by secure sharing options. Users have the flexibility to either work with their own data or integrate it with various other datasets, leaving the choice entirely up to them. Our platform offers robust security technology and access to a wide array of data and analytics providers relevant to multiple industries, allowing users to determine how and when they engage with these resources. Data sharing is managed through SAS (shared access signature) keys, which enable users to control access permissions effectively. Additionally, all activities concerning the data stored in the container are logged in a ledger, allowing the container owner to monitor and review actions. Importantly, these keys can only be distributed to other users who have been authorized on the platform, ensuring a high level of security and data integrity. This comprehensive approach empowers users to maintain control over their data while fostering collaboration when desired.
  • 19
    IBM Cloud Pak for Data Reviews
    The primary obstacle in expanding AI-driven decision-making lies in the underutilization of data. IBM Cloud Pak® for Data provides a cohesive platform that integrates a data fabric, enabling seamless connection and access to isolated data, whether it resides on-premises or in various cloud environments, without necessitating data relocation. It streamlines data accessibility by automatically identifying and organizing data to present actionable knowledge assets to users, while simultaneously implementing automated policy enforcement to ensure secure usage. To further enhance the speed of insights, this platform incorporates a modern cloud data warehouse that works in harmony with existing systems. It universally enforces data privacy and usage policies across all datasets, ensuring compliance is maintained. By leveraging a high-performance cloud data warehouse, organizations can obtain insights more rapidly. Additionally, the platform empowers data scientists, developers, and analysts with a comprehensive interface to construct, deploy, and manage reliable AI models across any cloud infrastructure. Moreover, enhance your analytics capabilities with Netezza, a robust data warehouse designed for high performance and efficiency. This comprehensive approach not only accelerates decision-making but also fosters innovation across various sectors.
  • 20
    EraSearch Reviews

    EraSearch

    Era Software

    ¢65 per GB
    Designed specifically for cloud-native environments, EraSearch offers a versatile data fabric that utilizes separate storage and processing capabilities, a genuine zero-schema architecture, and smart indexing to provide a log management solution that scales infinitely while significantly lowering both cost and complexity. Unlike many log management tools built on Elasticsearch, EraSearch was developed from the ground up to address its major shortcomings. By adopting a stateless architecture for its essential components, EraSearch allows for seamless management through Kubernetes, making it a pleasure to operate. The innovative coordination-free ingest method enables EraSearch to manage data at a much lower cost, setting it apart from traditional solutions. Additionally, with EraSearch, you can enjoy a fully automated experience, eliminating any concerns about maintaining the health of your cluster. Ultimately, this cutting-edge approach redefines log management for modern applications.
  • 21
    Databricks Data Intelligence Platform Reviews
    The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.
  • 22
    Delphix Reviews
    Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.
  • 23
    MarkLogic Reviews

    MarkLogic

    Progress Software

    Unlock the potential of your data, expedite insightful decision-making, and attain agility in data management securely with the MarkLogic data platform. This platform allows you to merge your data with all relevant metadata within a unified service, leading to quicker and more informed decision-making. Experience a reliable and efficient approach to securely link data and metadata, derive meaningful insights, and access high-quality contextualized information throughout your organization using the MarkLogic data platform. Gain real-time insights into your customers to deliver relevant and seamless interactions, uncover new opportunities to drive innovation, and facilitate compliant access within a single data framework. With MarkLogic, you have a solid foundation that supports your essential business and technical goals both now and in the future, ensuring you stay ahead in a dynamic market.
  • 24
    Adaptigent Reviews
    Fabric allows you to effortlessly integrate your contemporary IT landscape with essential data and transaction systems, ensuring a rapid connection. In our intricate world, the complexity of IT systems is a reflection of various factors. After numerous years of advancement, shifts in the market, technological innovations, and numerous mergers and acquisitions, CIOs often find themselves navigating an overwhelming level of system intricacy. This overwhelming complexity consumes a significant share of IT budgets and hinders IT departments from effectively addressing the immediate demands of the business. While it's unrealistic to expect an immediate resolution to this complexity, Adaptigent’s Adaptive Integration Fabric offers a protective barrier against the challenges posed by critical data sources, enabling your organization to fully harness the capabilities of secure, stable, and information-rich legacy systems that form its foundation. By employing this innovative solution, businesses can focus more on strategic objectives rather than getting bogged down by convoluted system issues.
  • 25
    AtScale Reviews
    AtScale streamlines and speeds up business intelligence processes, leading to quicker insights, improved decision-making, and enhanced returns on your cloud analytics investments. It removes the need for tedious data engineering tasks, such as gathering, maintaining, and preparing data for analysis. By centralizing business definitions, AtScale ensures that KPI reporting remains consistent across various BI tools. The platform not only accelerates the time it takes to gain insights from data but also optimizes the management of cloud computing expenses. Additionally, it allows organizations to utilize their existing data security protocols for analytics, regardless of where the data is stored. AtScale’s Insights workbooks and models enable users to conduct Cloud OLAP multidimensional analysis on datasets sourced from numerous providers without the requirement for data preparation or engineering. With user-friendly built-in dimensions and measures, businesses can swiftly extract valuable insights that inform their strategic decisions, enhancing their overall operational efficiency. This capability empowers teams to focus on analysis rather than data handling, leading to sustained growth and innovation.
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Overview of Data Fabric Software

Data fabric software is a type of software that provides an integrated, unified platform for managing, sharing, and analyzing data across different distributed computing environments. It helps businesses to quickly and accurately access the information they need in order to make decisions and take action. Data fabric software employs innovative technologies like big data integration, machine learning, analytics, and artificial intelligence (AI) to enable companies to effectively manage their data assets and gain competitive advantage through enhanced insights.

Data fabric software allows businesses to collect data from multiple sources, including IoT devices, databases, web APIs, enterprise systems like ERP or CRM applications, social media platforms such as Twitter or Instagram accounts or websites etc. This collected data can then be used for various tasks like predictive analytics or customer segmentation. Additionally, it enables organizations to quickly analyze their massive amounts of data sets faster than ever before by leveraging the power of machine learning models.

Data fabric software also offers a secure environment for storing data with the help of encryption algorithms such as AES256-bit encryption which ensures that only authorized personnel can have access to sensitive information. It also allows businesses to store structured and unstructured datasets securely in one centralized location on the cloud or other secure storage locations that are managed according to an organization’s security protocols.

Moreover, it enables real-time insights into company operations by providing automated analysis capabilities that enable users to detect patterns in vast amounts of raw data at lightning speed. This helps them make better business decisions more efficiently while enabling dynamic scaling capabilities without compromising performance levels.

Finally with its user-friendly interface administrators can easily monitor all activities occurring within the system such as analyzing job execution times or tracking usage metrics across all nodes in the cluster. With this type of visibility administrators can quickly determine where improvements need to be made and how resources should be allocated in order to maximize efficiency - facilitating optimal performance for organizations operating within highly competitive markets.

Reasons To Use Data Fabric Software

  1. To Streamline Data Management: Data Fabric Software helps to streamline data management processes by providing a comprehensive, unified platform focused on increasing efficiency and better security of your data.
  2. To Enhance Data Security: As the number of cyber threats continues to grow, data fabric software provides an extra layer of security, helping to store and protect sensitive company information and ensuring that only authorized personnel have access.
  3. To Increase Business Productivity: By increasing the efficiency of accessing and managing data, using data fabric software can increase productivity levels throughout the entire organization. Additionally, this allows teams to focus more time on higher-value tasks such as analytics or other critical initiatives rather than manual administrative activities related to obtaining or updating data.
  4. To Facilitate Collaboration Across Teams: With companies increasingly relying on remote teams for various projects, it’s essential for businesses to use tools that enable secure collaboration within its own environment. Data fabric software provides a shared storage space that makes it easy for cross-functionality workflows so team members can access the same datasets quickly and efficiently from different locations around the world.
  5. Cost Savings: Implementing a robust data management strategy with a hardware infrastructure may require purchasing expensive hardware components that need regular maintenance in order to remain functional over time which could significantly strain IT budgets for many businesses; with cloud-based offerings like data fabric software these costs are decreased considerably because there's no need for physical hardware investments or in-house support staff.

Why Is Data Fabric Software Important?

Data Fabric software is an essential component of the modern enterprise. It helps businesses manage and streamline data in a secure, reliable, and efficient manner. By providing a single platform for data storage, access, analysis, and collaboration, Data Fabric software makes it easier for organizations to explore insights from their data and identify key trends.

In today's digital world, businesses need to be able to quickly process vast amounts of data from multiple sources and locations. With Data Fabric software they can do exactly that. This type of software helps organizations reduce complexity by creating virtualized environments that assimilate data quickly while maintaining high levels of security. It allows companies to share information across departments with ease while allowing them to control who can access what information when needed.

In addition to its ability for processing large volumes of disparate data quickly and securely, Data Fabric software offers other important benefits as well. For example, it provides predictive analytics capabilities which help companies gain new insights from their existing datasets; something that would take much longer without this type of technology in place. In addition, it improves IT agility by automating tasks such as backup/restore processes or migration activities ensuring that teams can focus on more important business goals instead of mundane administrative tasks like managing servers or storage devices.

The importance of Data Fabric software is clear – it's an invaluable tool for any organization trying to gain insight from its amassed data in order to make informed decisions regarding the future direction of the company’s initiatives and operations.

Data Fabric Software Features

  1. Enterprise-level Data Storage: Data Fabric software provides a central repository for enterprise data, allowing businesses to store, manage, and secure various types of information in one place. This ensures that all data remains organized, safe and accessible across different systems and departments.
  2. Data Management: Data Fabric also enables businesses to better control their data usage with streamlined approaches to find, access and transfer data quickly between systems or users. It also allows for improved visibility of where certain files are from the moment they’re created until the time they’re archived or destroyed by providing an audit trail of file usage throughout the organization.
  3. Security Compliance: As companies grow, security risks can arise if sensitive information is not properly managed and stored securely compliant with legal regulations like GDPR or HIPAA for example. By leveraging custom permissions settings, encryption technology and advanced authentication protocols within Data Fabric software organizations can ensure that confidential data is kept safe from unauthorized access while still being available when needed by authorized individuals.
  4. Big Data Analytics Services: Companies often turn to big data tools like Hadoop or Apache Spark to help them get insights into how their customers interact with their products or services using large-scale datasets such as customer reviews, website analytics etc. These platforms require significant technical knowhow but with assistance from built-in analytics tools provided by a Data Fabric platform you don't need any specialized skills or expensive infrastructure investments; allowing you to reduce costs associated with implementation while still taking advantage of big data features such as predictive modeling, machine learning capabilities etc.
  5. Real-Time Insights: Real-time reporting is essential for gaining actionable insights about customer behavior at any given moment in order to optimize strategies accordingly; this requires reliable streaming solutions that are able to ingest massive amounts of incoming records quickly enough so decisions can be made promptly - something which Data Fabric software fulfils by providing fast ingestion rates combined with powerful query engines that allow immediate querying over relevant pieces of data even during peak times without having adverse effects on performance due to scale up capabilities when more load is present within the system.

Who Can Benefit From Data Fabric Software?

  • IT Professionals: Data fabric software gives IT professionals a centralized platform for managing, accessing, and sharing data securely across different systems.
  • Business Analysts: Data Fabric software provides business analysts with a single interface to explore, analyze, and gain insights into vast amounts of data from disparate sources.
  • Developers: Data fabric software simplifies the development process by offering pre-built integrations that allow developers to build applications quickly without worrying about individual database connections or configurations.
  • System Administrators: Data fabric software offers system administrators complete control over all aspects of data management and access including security, authentication, encryption, and monitoring capabilities.
  • End Users: Data fabric software makes it easy for end users to access the needed data quickly and securely while still maintaining a high level of privacy and control.

How Much Does Data Fabric Software Cost?

The cost of data fabric software can vary greatly depending on the features and capabilities you are looking for as well as the size of your business. Generally speaking, most data fabric solutions will cost between $5 and $25 per user per month, with larger businesses paying more and smaller businesses typically paying less. Some data fabric solutions may also include an upfront fee for the license or subscription, so be sure to check with any vendors to find out what their pricing structure looks like before committing. Additionally, some data fabric providers offer packages that include additional customization options or implementation services that could add to the overall cost. Ultimately, it's important to evaluate each provider's plans to determine which one best meets your needs at a price point you're comfortable with.

Risks To Consider With Data Fabric Software

  • Data Fabric software may have a high risk of data loss. This can be due to the incompatibility of different systems, or error in the implementation of the system.
  • Security risks are also present with data fabric software, as there is often no complete control over the security protocols and encryption techniques used by different systems interfacing with it. The potential for unauthorized access increases when integrating these disparate systems together.
  • Another risk associated with data fabric software is that its complexity often leads to difficult debugging issues and slow performance, especially if multiple teams are involved in building and maintaining the system.
  • Without proper user training, users may misuse features or apply inappropriate techniques which can lead to improper functioning of the application and eventual disruption of business processes.
  • Integration of too many applications into one platform can cause significant strain on computing resources which can lead to slower response times for users accessing their applications through the data fabric platform.

What Software Can Integrate with Data Fabric Software?

Data fabric software is a type of software that allows different systems to access and store large amounts of data in one shared repository. Generally, it integrates with other types of software that work with different types of data so that organizations can manage their entire datasets within the same system. Such types of software include databases, analytics packages, reporting tools, dashboard applications, and any other application or program that generates or manipulates structured or unstructured information. Data fabric software can also accommodate custom-built applications, further expanding its integration capacity. Additionally, some providers offer APIs that allow users to quickly integrate existing workflows into the data fabric platform without needing to write custom code.

Questions To Ask When Considering Data Fabric Software

When considering data fabric software, there are a number of questions to ask in order to ensure the best possible software for your needs:

  1. What features does the software offer? It is important to understand what features are available, such as replication and availability options, custom metrics or analytics capabilities, security authentication methods, and other specialized functions.
  2. What type of architecture does it use? Many solutions on the market rely on different architectures that can impact performance, scalability and reliability, so it's essential to choose one that fits your workflow and objectives.
  3. How easily can the software be integrated into existing systems? Data fabric software should allow easy integration with existing databases, applications and infrastructure components in order to quickly get up and running without any major overhauls required.
  4. What kind of support services does it offer? Quality support services will provide help with technical issues as well as access to experts who can advise on usage optimization and provide training when necessary.
  5. How much does it cost? Cost is an important factor when selecting data fabric software; some solutions may require hefty investments while others may have more affordable options available depending on specific needs.