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.
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Domo
Domo
1,292 RatingsDomo 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. -
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Illuminate dark data and accelerate data-driven transformation with intelligent data operations to enable an edge-to-cloud data fabric. Pentaho products automate onboarding, integrating, governing, and publishing trusted data, with an intelligent composable data platform to automate data management needs.
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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.
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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. -
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Dagster Cloud
Dagster Labs
$0Dagster 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. -
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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. -
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MANTA
Manta
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. -
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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 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. -
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Qubitro
Qubitro
$2 per device per monthQubitro allows for collaboration on device data and modern application development. There are no limits on ingestion or extraction, and they do not affect usage. Qubitro provides out-of-the box support for popular data sources and offers tools for real-time collaborative work on your projects, along with scalable infrastructure. You need to create a project that groups data sources, platform features and other features. Qubitro's technical team offers free expert advice and best practices. Boost your startup's solution with events and marketing initiatives. -
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Querona
YouNeedIT
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. -
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Tengu
Tengu
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. -
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data.world
data.world
$12 per monthdata.world is a fully managed cloud service that was built for modern data architectures. We handle all updates, migrations, maintenance. It is easy to set up with our large and growing network of pre-built integrations, including all the major cloud data warehouses. Your team must solve real business problems and not struggle with complicated data software when time-to value is important. data.world makes it simple for everyone, not just the "data people", to get clear, precise, and fast answers to any business question. Our cloud-native data catalog maps siloed, distributed data to consistent business concepts, creating an unified body of knowledge that anyone can understand, use, and find. Data.world is the home of the largest open data community in the world. It is where people come together to work on everything, from data journalism to social bot detection. -
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Trustgrid
Trustgrid
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. -
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SAP Data Intelligence
SAP
$1.22 per monthData intelligence can transform data chaos into data value. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at an enterprise scale. SAP Data Intelligence provides a comprehensive data management solution. It is the data orchestration layer within SAP's Business Technology Platform. It transforms distributed data into vital data insights and delivers innovation at scale. Integrate across the IT landscape to provide intelligent, relevant and contextual insights for your users. Integrate and orchestrate large data volumes and streams at scale. Machine learning enables you to streamline, operationalize, manage, and govern innovation. Comprehensive metadata management rules optimize governance and reduce compliance risk. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at enterprise level. -
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Delphix
Delphix
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. -
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MarkLogic
Progress Software
MarkLogic's data platform helps you unlock data value, accelerate insights decisions, and achieve data agility in a secure manner. Combine your data and everything you know about it (metadata), in a single platform, to make smarter decisions faster. MarkLogic's data platform provides a trusted, faster way to securely link data and metadata, create meaning and interpret it, and consume high quality contextualized data throughout the enterprise. With a single platform, you can easily enable governed access, compliance, and new insights. MarkLogic is a proven platform that helps you achieve your business and technical goals, now and in the future. -
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Arundo Enterprise
Arundo
Arundo Enterprise is a flexible, modular software suite that creates data products for people. We connect live data with machine learning and other analytic models, and model outputs are used to make business decisions. Arundo Edge Agent allows industrial connectivity and analytics in remote, rugged, and disconnected environments. Arundo Composer allows data analysts to quickly and easily deploy desktop-based models into the Arundo Fabric Cloud environment using a single command. Composer allows companies to create and manage data streams and integrate them with their deployed data models. Arundo Fabric, a cloud-based hub that deploys machine learning models, data streams and edge agent management, is Arundo Fabric. It also allows for quick navigation to extended applications. Arundo offers a range of high ROI SaaS products. Each solution comes with a core functional capability that leverages Arundo Enterprise's core strengths. -
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Atlan
Atlan
The modern data workspace. All your data assets, from data tables to reports, will be instantly discoverable. The combination of powerful search algorithms and easy browsing makes it easy to find the right asset. Atlan automatically generates data quality profiles that make it easy to detect bad data. We have you covered, from automatic variable type detection and frequency distribution to missing values or outlier detection. Atlan takes the hassle out of managing and governing your data ecosystem. Atlan's bots analyze SQL query history to automatically construct data lineage. They also auto-detect PII information. This allows you to create dynamic access policies and best-in-class governance. Our Excel-like query builder allows anyone to query multiple data lakes, warehouses, and DBs. Native integrations with tools such as Tableau and Jupyter make data collaboration possible. -
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Cinchy
Cinchy
Cinchy is the first enterprise-focused data collaboration platform. Cinchy is used by highly-regulated organizations such as banks, credit unions, insurers, and insurance companies to deliver hundreds new technologies, including customer experiences, workflows and advanced analytics, in half the time. Our network-based architecture allows our customers to have full control over their data, which results in the largest shift in enterprise technology delivery since 1979. Cinchy is the first autonomous data fabric in the world. Cinchy's data-centric architecture, inspired by the human brain makes data silos and integration obsolete. It manages data as a network. Cinchy is being used by some of the most complex organizations (including highly-regulated financial institutions), to accelerate and de-risk the transformation from app-centric to a data-centric organization. This allows for real agility. -
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Veracity Data Fabric
Veracity
€420 per yearVeracity Data Fabric provides secure data management for cloud and on-premise. It allows you to store all your data, from data streams to data objects, in one place. Secure sharing mechanisms allow you to share this information. You can work on your own data, or share it with other data sets. We offer secure technology and access multiple industry-relevant data providers and analytics providers. You decide if and how to use them. SAS keys (shared access signature) allow data sharing. These keys can be used to grant and deny access. The ledger can track and be viewed by the container owner to show the activities related to the stored data. Only authorized platform users can share keys. -
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IBM Cloud Pak for Data
IBM
$699 per monthUnutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud. -
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NetApp Data Fabric
NetApp
Your data is everywhere and in every format imaginable. It's growing every minute, stored in public clouds and private clouds, as well as on premises. It's a tool that your teams use to accomplish their tasks. It is essential for your business to thrive and survive. You can now design your data fabric to deliver the data where, when, and how you need it. You can ensure that your data is always available, accessible, and easy to consume. No cost to hire developers. Deliver a single data experience across all clouds, private clouds, and on-premises. NetApp has the proven capabilities to manage and build your data fabric. NetApp customers are thought-leaders who recognize the importance of digital transformation. They are changing the world every day by leveraging their most valuable business resources data. -
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CluedIn
CluedIn
$28,500 per yearCluedIn is the fastest master data management platform to implement. CluedIn transformed traditional MDM into an enhanced experience. There is less manual work. You get better results. This is impossible with traditional MDM. CluedIn revolutionized MDM by introducing a new type without restrictions. CluedIn was designed to eliminate the complexities of traditional MDM. CluedIn, a cloud-native Master Data Management Platform, was designed to be low-cost. Enterprise software that is as easy to use as a SAAS platform. Traditional MDM vendors will require you to connect different products to create an end-to-end story. We have instead gathered the core pillars of masterdata management for you. We went against the grain of traditional master data management, and came out the other end with methods that automate the most difficult parts and render traditional approaches obsolete. -
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EraSearch
Era Software
¢65 per GBEraSearch is purpose-built for cloud-native deployments. It offers a dynamic data fabric that leverages storage & compute decoupled storage and compute, a true zero schema design, and adaptive indexing. This allows you to provide an infinitely-scalable log management experience at a remarkable reduction in cost and complexity. Elasticsearch is used to build many log management products. To solve the key problems of EraSearch, we built it from scratch. It is easy to manage EraSearch with K8s by adopting a stateless design of all core components. Elasticsearch is used to build many log management products. To solve the key problems of EraSearch, we built it from scratch. EraSearch is able to handle data at a significantly reduced cost by using a modern, coordinated ingest design. EraSearch is completely hands-off so you don't have to worry about cluster health. -
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Talend Data Fabric
Talend
Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.
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
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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:
- 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.
- 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.
- 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.
- 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.
- 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.