Best Data Virtualization Software of 2024

Find and compare the best Data Virtualization software in 2024

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

  • 1
    HERE Reviews

    HERE

    HERE Technologies

    $0.08 per GB
    1 Rating
    HERE is the #1 Location Platform For Developers*, ranked above Google Mapbox and TomTom in terms of mapping quality. Switch to a higher-quality offering and take advantage more monetization opportunities. Rich location data, intelligent products, and powerful tools can all be combined to propel your business forward. HERE allows you to add location-aware capabilities into your apps and online services. You get free access to over 20 market-leading AAPs, including Mapping and Geocoding, Routing and Traffic, Weather, and many more. Sign up for HERE Freemium to get access to the HERE XYZ Map Builder, which offers 5GB of storage for all your geodata. No matter what your level of skill, you can get started with industry-leading mapping technology and location technology. *Counterpoint 2019 Report
  • 2
    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.
  • 3
    Accelario Reviews

    Accelario

    Accelario

    $0 Free Forever Up to 10GB
    DevOps can be simplified and privacy concerns eliminated by giving your teams full data autonomy via an easy-to use self-service portal. You can simplify access, remove data roadblocks, and speed up provisioning for data analysts, dev, testing, and other purposes. The Accelario Continuous DataOps platform is your one-stop-shop to all of your data needs. Eliminate DevOps bottlenecks, and give your teams high-quality, privacy-compliant information. The platform's four modules can be used as standalone solutions or as part of a comprehensive DataOps management platform. Existing data provisioning systems can't keep pace with agile requirements for continuous, independent access and privacy-compliant data in autonomous environments. With a single-stop-shop that provides comprehensive, high-quality, self-provisioning privacy compliant data, teams can meet agile requirements for frequent deliveries.
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    Virtuoso Reviews

    Virtuoso

    OpenLink Software

    $42 per month
    Virtuoso, a Data Virtualization platform that enables fast and flexible harmonization between disparate data, increases agility for both individuals and enterprises. Virtuoso Universal server is a modern platform built upon existing open standards. It harnesses the power and flexibility of Hyperlinks (functioning like Super Keys) to break down data silos that hinder both enterprise and user ability. Virtuoso's core SQL & SPARQL powers many Enterprise Knowledge Graph initiatives, just as they power DBpedia. They also power a majority nodes in Linked Open Data Cloud, the largest publicly accessible Knowledge Graph. Allows for the creation and deployment of Knowledge Graphs atop existing data. APIs include HTTP, ODBC and JDBC, OLE DB and OLE DB.
  • 5
    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.
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    data.world Reviews

    data.world

    data.world

    $12 per month
    data.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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    VeloX Software Suite Reviews

    VeloX Software Suite

    Bureau Of Innovative Projects

    Velox Software Suite allows data migration and system integration throughout an entire organization. The suite includes two applications: Migration Studio VXm -- which allows users to control data migrations; and Integration Server VXi -- which automates data processing and integration. Extract multiple sources and send to multiple destinations. A near real-time, unified view of all data without having to move between sources. Physically combine data from multiple sources, reduce storage locations, and transform according to business rules.
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    Oracle Data Service Integrator Reviews
    Oracle Data Service Integrator allows companies to quickly create and manage federated services that allow access to single views of disparate data. Oracle Data Service Integrator is fully standards-based and declarative. It also allows for re-usability. Oracle Data Service Integrator supports bidirectional (read/write) data services creation from multiple data sources. Oracle Data Service Integrator also offers the unique capability to eliminate coding by graphically modeling simple and complex updates from heterogeneous sources. Data Service Integrator is easy to use: install, verify, uninstall and upgrade. Oracle Data Service Integrator was previously known as Liquid Data (ALDSP) and AquaLogic Data Services Platform. Some of the original names are still used in the product, installation path and components.
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    Oracle Big Data SQL Cloud Service Reviews
    Oracle Big Data SQL Cloud Service allows organizations to instantly analyze data across Apache Hadoop and NoSQL. This service leverages their existing SQL skills, security policy, and applications with extreme speed. Big Data SQL allows you to simplify data science and unlock data lakes. Big Data SQL provides users with a single place to store and secure data in Hadoop, NoSQL systems, and Oracle Database. Seamless metadata integration, and queries that combine data from Oracle Database and Hadoop and NoSQL database data. Automated mappings can be done from metadata stored in HCatalog or the Hive Metastore to Oracle Tables using utility and conversion routines. Administrators have the ability to set enhanced access parameters that allow them to control data access behavior and column mapping. Multiple cluster support allows one Oracle Database to query multiple Hadoop clusters or NoSQL systems.
  • 10
    Orbit Analytics Reviews
    A true self-service reporting platform and analytics platform will empower your business. Orbit's business intelligence and operational reporting software is powerful and scalable. Users can create their own reports and analytics. Orbit Reporting + Analytics provides pre-built integration with enterprise resources planning (ERP), key cloud business applications, such as Salesforce, Oracle E-Business Suite and PeopleSoft. Orbit allows you to quickly and efficiently discover answers from any data source, identify opportunities, and make data-driven decisions.
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    Data Virtuality Reviews
    Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.
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    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.
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    SAP HANA Reviews
    SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.
  • 14
    IBM InfoSphere Information Server Reviews
    Cloud environments can be quickly set up for quick development, testing, and productivity for your IT staff and business users. Comprehensive data governance for business users will reduce the risks and cost of maintaining your data lakes. You can save money by providing consistent, timely, and clean information for your data lakes, big data projects, and data warehouses. Also, consolidate applications and retire outdated databases. Automatic schema propagation can be used to accelerate job generation, type-ahead searching, and backwards capabilities. All this while designing once and executing everywhere. With a cognitive design that recognizes patterns and suggests ways to use them, you can create data integration flows and enforce quality rules and data governance. You can improve visibility and information governance by creating authoritative views of information that are complete and authoritative.
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    CONNX Reviews
    Unlock the potential value of your data, wherever it may be. Data-driven companies must be able to access all information across apps, clouds, and systems in order to make use of it. CONNX data integration allows you to easily access, virtualize, and move your data, regardless of where it is located or how it's structured, without having to change your core systems.
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    Informatica PowerCenter Reviews
    The market-leading, scalable, and high-performance enterprise data management platform allows you to embrace agility. All aspects of data integration are supported, from the initial project jumpstart to the successful deployment of mission-critical enterprise applications. PowerCenter, a metadata-driven data management platform, accelerates and jumpstarts data integration projects to deliver data to businesses faster than manual hand coding. Developers and analysts work together to quickly prototype, iterate and validate projects, then deploy them in days instead of months. Your data integration investments can be built on PowerCenter. Machine learning can be used to efficiently monitor and manage PowerCenter deployments across locations and domains.
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    TIBCO Data Virtualization Reviews
    A data virtualization solution for enterprise data that allows access to multiple data sources and delivers the data and IT-curated data services foundation needed for almost any solution. The TIBCO®, Data Virtualization system is a modern data layer that addresses the changing needs of companies with mature architectures. Eliminate bottlenecks, enable consistency and reuse, and provide all data on demand in a single logical level that is governed, secure and serves a diverse user community. You can access all data immediately to develop actionable insights and take immediate action. Users feel empowered because they can search and select from a self service directory of virtualized business information and then use their favorite analytical tools to get results. They can spend more time analysing data and less time searching.
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    CData Query Federation Drivers Reviews
    Embedded Data Virtualization allows you to extend your applications with unified data connectivity. CData Query Federation Drivers are a universal data access layer that makes it easier to develop applications and access data. Through a single interface, you can write SQL and access data from 250+ applications and databases. The CData Query Federation Driver provides powerful tools such as: * A Single SQL Language and API: A common SQL interface to work with multiple SaaS and NoSQL, relational, or Big Data sources. * Combined Data Across Resources: Create queries that combine data from multiple sources without the need to perform ETL or any other data movement. * Intelligent Push-Down - Federated queries use intelligent push-down to improve performance and throughput. * 250+ Supported Connections: Plug-and–Play CData Drivers allow connectivity to more than 250 enterprise information sources.
  • 19
    AWS Glue Reviews
    AWS Glue, a fully managed extract-transform-and-load (ETL) service, makes it easy for customers prepare and load their data for analysis. With just a few clicks, you can create and run ETL jobs. AWS Glue simply points to the AWS Data Catalog and AWS Glue finds your data and stores metadata (e.g. AWS Glue Data Catalog contains the table definition and schema. Once your data has been cataloged, it is immediately searchable and queryable. It is also available for ETL.
  • 20
    Oracle Big Data Preparation Reviews
    Oracle Big Data Preparation Cloud Service (PaaS), is a cloud-based managed Platform as a Service (PaaS). It allows you to quickly ingest, repair and enrich large data sets in an interactive environment. For down-stream analysis, you can integrate your data to other Oracle Cloud Services such as Oracle Business Intelligence Cloud Service. Oracle Big Data Preparation Cloud Service has important features such as visualizations and profile metrics. Visual access to profile results and summary for each column are available when a data set has been ingested. You also have visual access the duplicate entity analysis results on the entire data set. You can visualize governance tasks on the service homepage with easily understandable runtime metrics, data quality reports and alerts. Track your transforms to ensure that files are being processed correctly. The entire data pipeline is visible, from ingestion through enrichment and publishing.
  • 21
    Informatica Intelligent Cloud Services Reviews
    The industry's most comprehensive, API-driven, microservices-based, AI-powered enterprise iPaaS is here to help you go beyond the table. IICS is powered by the CLAIRE engine and supports any cloud-native patterns, including data, applications, API integration, MDM, and API integration. Our multi-cloud support and global distribution covers Microsoft Azure, AWS and Google Cloud Platform. Snowflake is also included. IICS has the industry's highest trust and enterprise scale, as well as the industry's highest security certifications. Our enterprise iPaaS offers multiple cloud data management products that can be used to increase productivity, speed up scaling, and increase efficiency. Informatica is a Leader in the Gartner 2020 Magic Quadrant Enterprise iPaaS. Informatica Intelligent Cloud Services reviews and real-world insights are available. Get our cloud services for free. Customers are our number one priority, across products, services, support, and everything in between. We have been able to earn top marks in customer loyalty 12 years running.
  • 22
    Lyftrondata Reviews
    Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.
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    IBM Cloud Pak for Data Reviews
    Unutilized 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.
  • 24
    Informatica Cloud B2B Gateway Reviews
    EDI management made easier with comprehensive monitoring and tracking via a cloud interface that is user-friendly. You only need three steps to assign EDI messages and determine the communication method. Visually model complex data structures to make it easier to understand. You can track and monitor your data intuitively. Drill down to see the details of error handling and reporting. Business partners can track file exchanges and send/receive files via secure HTTPS protocol. You can easily manage and use STFP and AS2 servers to exchange files.
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    Rocket Data Virtualization Reviews
    Traditional methods of integrating mainframe, ETL, warehouses, and building connectors are not fast enough or efficient enough to be useful for businesses today. Data virtualization is a new way to store and create more data on the mainframe than ever before. Data virtualization is the only way to close the gap and make mainframe data more accessible to developers and other applications. You can map your data once and then virtualize it for access anywhere, anytime. Your data can scale to your business goals. Data virtualization on z/OS removes the complexity that comes with working with mainframe resources. Data virtualization allows you to combine data from many sources into one logical data source. This makes it easier to connect mainframe data to your distributed applications. Combine mainframe data with location, social networks, and other distributed data.
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Data Virtualization Software Overview

Data virtualization software is a type of software that allows organizations to access data from multiple sources, regardless of the location or format. It enables organizations to integrate, analyze and manage their data in a virtual environment without having to physically move it. Data virtualization also helps reduce storage costs by eliminating the need for expensive hardware to store copies of data from multiple sources.

Data virtualization software works by creating an abstraction layer over existing physical and logical data sources such as databases, enterprise applications, files, and cloud services. This abstraction layer allows users to access all the underlying data sources through consistent interfaces such as SQL instead of having to learn different query languages for each separate source. This reduces complexity when accessing or manipulating large amounts of heterogeneous data as it allows integration across different types of systems and applications.

Data virtualization software can be used in conjunction with traditional ETL (extract-transform-load) processes to facilitate quicker time-to-value resulting from the near real-time availability of integrated data. There are many advantages associated with using this type of technology including improved resource utilization with minimal delays in timespan; increased scalability; ability to handle massive amounts of streaming big data; quick deployment; rapid change management; upscaling on demand; elimination of redundant copies and processing steps leading to reduced cost and/or risk exposure for disaster recovery plans.

As well as supporting ETL operations, modern-day solutions offer self-service analytics capabilities which allow business users to easily access information from diverse sources irrespective of any structural differences there may be between them – this includes relational databases, structured flat files and even unstructured ones stored within documents like PDFs or MS Office documents among others. By providing a single point for data integration, these solutions are able to eliminate manual intervention when consolidating information scattered across various systems – thereby significantly decreasing development timescales & cost along with greater flexibility when it comes to making sense out quickly changing business requirements & objectives.

In addition, Data Virtualization offers several security benefits due its ability to standardize secure user authentication & authorization methods while also providing an audit trail feature that logs & stores every single request made against its system over a specific duration along with details such as who initiated them & what action did they perform etc – all this makes it easier for administrators & managers alike monitor their environment’s usage & correct any wrongdoings before they get out hand if needed.

Why Use Data Virtualization Software?

  1. Time Savings: Data virtualization software can allow users to access a large amount of data quickly, without having to manually move and process it each time. This saves time because the data does not need to be updated or replicated in any way, allowing users to focus on their analysis instead of managing the underlying data.
  2. Improved Collaboration: By providing easy access for all stakeholders with appropriate permissions, data virtualization software allows collaboration between different teams across the organization. The ability to securely share and view real-time data from multiple sources makes it easier for teams to work together and helps move projects forward faster.
  3. Automation: Data virtualization software can automate certain aspects of the data management process such as security policies, routing rules, queries and more. This reduces manual processes and ensures consistent accuracy every time so that users can trust their results.
  4. Cost Savings: Because it enables quick access to a large amount of data without requiring physical storage space or additional hardware, data virtualization software helps organizations save money on both IT costs and infrastructure costs resulting from increased demand on existing systems when running highly intensive analyses at peak times.
  5. Flexibility: With a range of available connectors including APIs, ODBC/JDBC drivers, file system adapters, etc., businesses are able to easily integrate new sources into their existing system with minimal effort or disruption which provides them with tremendous flexibility in terms of what kind of analytics they wish to perform with the help of this technology.

The Importance of Data Virtualization Software

Data virtualization software is a powerful tool that makes it easier for organizations to access and manage the data they need, regardless of where that data is stored. This type of software helps companies break down silos and let them manipulate their data in ways they may not have been able to before.

One of the most important uses for data virtualization software is its ability to enable real-time insights. With this type of software, users can quickly access, combine, and analyze all their different types of data from multiple sources in just one place. As a result, businesses can better identify any trends or correlations between their different datasets which can lead to deeper understanding of their customers and operations. Businesses are able to gain competitive advantage and make faster decisions with up-to-date information when using this type of software.

Data virtualization also helps organizations reduce costs associated with storing multiple copies of the same data on different systems or in disparate locations. Data duplication across various databases can become costly over time both from an infrastructure perspective as well as from an operational standpoint as well. By leveraging data virtualization technology, organizations are able to consolidate multiple sources into one single repository while allowing application users direct access to the original source through a secure gateway connection which eliminates duplicate copies altogether and reduces overhead costs dramatically.

Another important benefit offered by this technology is enhanced security capabilities that protect sensitive corporate information from unauthorized access or misuse within an organization’s internal network ecosystem or even outside threats such as cyber criminals who might be trying to steal confidential customer records or other proprietary business intelligence assets. By unifying all underlying IT resources into a centralized platform, organizations are better equipped with an arsenal of tools at their disposal like role-based authentication models and encryption techniques capable enough for providing comprehensive protection against malicious actors attempting to breach organizational security protocols from any angle imaginable without sacrificing performance throughput speeds needed for today’s rising digital service demands industry-wide.

In summary, it cannot be ignored that there are many advantages for businesses when using data virtualization technology including enabling insight into valuable corporate information; reducing storage costs; strengthening IT security measures; improving accessibility; increasing ROI; automating deployment tasks; increasing employee productivity; offering more scalability options; revamping existing integration strategies along with many other potential benefits depending on specific company needs organizationally speaking so, in conclusion, you really cannot go wrong investing in such forward-thinking solutions when trying to stay ahead in today's ever-changing digital landscape.

Features Offered by Data Virtualization Software

  1. Data Virtualization: This software provides a unified platform for connecting to data sources, transforming and querying them, and then presenting the results in an integrated fashion. It reduces the need to move or copy large amounts of data between applications and databases, allowing organizations to access their desired information quickly and efficiently.
  2. Data Federation: The feature allows disparate sources of data such as multiple databases, spreadsheets, text files, and other Big Data stores to be accessed without physical integration with each other. This eliminates the need for duplicate copies of data residing in different systems as it provides a layer that sits between the application and database layers providing access from any system regardless of platform or structure.
  3. Data Caching: This feature enables organizations to store frequently used queries so they can be quickly reused when needed subsequently reducing query execution time significantly when compared with traditional approaches such as pulling from databases directly every time a query is run.
  4. Secure Access: The software provides secure mechanisms for accessing corporate data by controlling who has access to what parts of an organization's data stores depending on their role within the organization, ensuring that confidential information remains confidential while still being available at all times when needed.
  5. Multi-Source Analytics Support: By leveraging its numerous connection capabilities, this feature allows users to pull in different types of structured/unstructured data from multiple sources including cloud-based solutions in order to gain new insights through comprehensive analytics across multiple dimensions quickly and accurately aiding decisions processes significantly faster than if they were done separately on individual systems or applications.

What Types of Users Can Benefit From Data Virtualization Software?

  • Business Analysts: Business analysts can utilize data virtualization software to quickly and easily access a wide variety of organizational data, enabling them to generate useful reports and insights.
  • Data Scientists: Data scientists can use data virtualization software to create powerful models from large volumes of data, so they can better understand business operations from multiple angles.
  • Developers: Developers are able to integrate different applications with one unified system using data virtualization software, streamlining the development process for complex projects.
  • Enterprise Architects: Enterprise architects have the ability to design interconnected systems that capture, store and analyze all types of corporate information in an efficient manner with the help of this technology.
  • Chief Information Officers (CIOs): CIOs rely on the power of data virtualization solutions to ensure that their organizations benefit from an agile IT infrastructure that is constantly adapting to changing business conditions.
  • IT Administrators: IT administrators are able to use this kind of software as a tool for regulating user access while employing advanced security measures such as role-based authentication and monitoring capabilities.
  • Cloud Service Providers (CSPs): CSPs are able to leverage the scalability benefits of data virtualization solutions by providing customers with quick access to cloud-based resources across various platforms like Amazon Web Services (AWS) or Microsoft Azure.
  • End Users: End users are empowered with self-service tools when interacting with enterprise frameworks due to the integration capabilities offered by these programs, simplifying their everyday tasks.

How Much Does Data Virtualization Software Cost?

The cost of data virtualization software can vary significantly depending on the specific features and complexity required by your organization. Basic virtualization solutions can start as low as a few hundred dollars for standalone users, while enterprise-level solutions with advanced analytics and scalability capabilities may cost tens of thousands of dollars or more.

Licensing fees for data virtualization software typically depend on the number of users using the system. Some companies offer per user pricing, while other vendors may offer a per server or concurrent user model. Additionally, many providers charge additional fees for support and maintenance that may be necessary to keep your system up and running smoothly.

In addition to licensing costs, businesses will also need to factor in the cost of hardware, storage, bandwidth and personnel time required to implement their data virtualization solution effectively into their workflow. Ultimately, organizations must consider all factors when budgeting for their data virtualization software needs in order to ensure they receive the right level of benefit at a price that fits within their overall budget.

Risks To Be Aware of Regarding Data Virtualization Software

  • Security Risk: Virtualizing data exposes it to potential security risks, such as unauthorized access and malicious attacks.
  • Data Integrity: When data is virtualized, both the original source and its copies become vulnerable to corruption due to frequent changes in configurations or environment.
  • Data Loss: If a physical disk drive fails or the server becomes unresponsive, all virtualized data can be lost.
  • Latency Issues: Transferring large amounts of data within the same system can cause latency issues if not managed properly.
  • Lack of Performance Visibility: In Virtualization environments, performance metrics may not always be accurately monitored; this could lead to under-utilization of resources andpoor performance overall.
  • Hidden Costs: Depending on the complexity of your setup, additional hardware may need to be purchased if you don’t have adequate infrastructure in place. This can lead tohidden costs that weren’t planned for when implementing virtualization solutions.

Types of Software That Data Virtualization Software Integrates With

Data virtualization software can integrate with many different types of software, including applications that use structured or unstructured data stored in relational databases, NoSQL databases, Hadoop systems and cloud-based services. By using data virtualization technology, disparate pieces of information from multiple sources can be unified and brought together into a single view for seamless analysis and reporting. Additionally, the data virtualization layer facilitates integration with authoring tools such as business intelligence (BI) platforms to create interactive visualizations that allow users to interactively explore data. Finally, some types of software are specifically designed to enhance the power of the data virtualization layer by allowing users to manipulate large amounts of complex datasets in real-time. Examples include high-performance analytics (HPA) solutions which provide advanced analytical capabilities for sophisticated decision-making and predictive modeling.

Questions To Ask Related To Data Virtualization Software

  1. What are the data virtualization software's system requirements and scalability?
  2. Are there any limits on the volume of data that can be processed?
  3. What kind of support does the software provide for different types of data sources, such as databases, files, and APIs?
  4. Does the software support real-time access to data or batch processing only?
  5. How secure is the platform in terms of protecting sensitive data from unauthorized access?
  6. Is there an administrator dashboard for configuring policies and settings?
  7. Does the solution provide out-of-the-box analytics capabilities or will additional programming be required?
  8. What type of industry certifications or standards has the vendor achieved (if any)?
  9. Will technical training/documentation be available to help with setup and maintenance?
  10. Is there a cost associated with using this technology, either upfront license fees or ongoing subscription charges?