Best Database Virtualization Software

Compare the Top Database Virtualization Software as of April 2025

What is Database Virtualization Software?

Database virtualization software provides IT professionals a solution for virtualization databases in order to allow the pooling and usage of resources to be allocated when needed. Compare and read user reviews of the best Database Virtualization software currently available using the table below. This list is updated regularly.

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    Windocks

    Windocks

    Windocks

    Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments.
    Starting Price: $799/month
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  • 2
    Cohesity

    Cohesity

    Cohesity

    Simplify your data protection by eliminating legacy backup silos. Efficiently protect virtual, physical and cloud workloads, and ensure instant recovery. Bring compute to your data and run apps to gain insights. Protect your business from sophisticated ransomware attacks with a multilayered data security architecture. We don't need more single-purpose tools for all those silos. This patchwork leaves us more vulnerable to ransomware. Cohesity increases cyber resiliency and solves mass data fragmentation by consolidating data onto one hyper-scale platform. Modernize your data centers by consolidating backups, archives, file shares, object stores, and data used in analytics and dev/test. Our modern approach to solving these challenges is Cohesity Helios, a single next-gen data management platform that offers multiple services. Next-gen data management makes things easy to manage while keeping pace with your data growth.
  • 3
    Accelario

    Accelario

    Accelario

    Take the load off of DevOps and eliminate privacy concerns by giving your teams full data autonomy and independence via an easy-to-use self-service portal. Simplify access, eliminate data roadblocks and speed up provisioning for dev, testing, data analysts and more. Accelario Continuous DataOps Platform is a one-stop-shop for handling all of your data needs. Eliminate DevOps bottlenecks and give your teams the high-quality, privacy-compliant data they need. The platform’s four distinct modules are available as stand-alone solutions or as a holistic, comprehensive DataOps management platform. Existing data provisioning solutions can’t keep up with agile demands for continuous, independent access to fresh, privacy-compliant data in autonomous environments. Teams can meet agile demands for fast, frequent deliveries with a comprehensive, one-stop-shop for self-provisioning privacy-compliant high-quality data in their very own environments.
    Starting Price: $0 Free Forever Up to 10GB
  • 4
    Redgate Deploy

    Redgate Deploy

    Redgate Software

    Standardize deployments for SQL Server, Oracle, and 18 other databases Increase frequency and reliability of database deployments Flexible toolchain for easy adoption across teams Catch errors and speed up development with Continuous Integration Get oversight of every change to your databases. From version control to continuous delivery, Redgate Deploy lets your teams automate database development processes so you can accelerate software delivery and ensure quality code. Building on your continuous delivery process for applications, and incorporating Redgate’s industry-leading tools and Flyway migrations framework, Redgate Deploy extends DevOps to your databases. Automate your deployments for faster delivery of database changes through your pipeline. To guarantee quality and consistency, Redgate Deploy provides repeatable processes that you can standardize on at every stage, from version control to live deployment.
    Starting Price: $2,499 per user per year
  • 5
    SQL Secure

    SQL Secure

    IDERA, an Idera, Inc. company

    SQL Secure helps database administrators to manage SQL Server security in physical, virtual, and cloud environments - including managed cloud databases. Unlike its competition, it provides configurable data collection, customizable templates to satisfy audits for multiple regulatory guidelines, extensive security checks and audit rules, automated server registration process, and server group tagging.
    Starting Price: $1,036 per instance
  • 6
    Delphix

    Delphix

    Perforce

    Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems, from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies. Automate data for fast, quality software releases, cloud adoption, and legacy modernization. Source data from mainframe to cloud-native apps across SaaS, private, and public clouds.
  • 7
    CONNX

    CONNX

    Software AG

    Unlock the value of your data—wherever it resides. To become data-driven, you need to leverage all the information in your enterprise across apps, clouds and systems. With the CONNX data integration solution, you can easily access, virtualize and move your data—wherever it is, however it’s structured—without changing your core systems. Get your information where it needs to be to better serve your organization, customers, partners and suppliers. Connect and transform legacy data sources from transactional databases to big data or data warehouses such as Hadoop®, AWS and Azure®. Or move legacy to the cloud for scalability, such as MySQL to Microsoft® Azure® SQL Database, SQL Server® to Amazon REDSHIFT®, or OpenVMS® Rdb to Teradata®.
  • 8
    TIBCO Data Virtualization
    An enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution. As a modern data layer, the TIBCO® Data Virtualization system addresses the evolving needs of companies with maturing architectures. Remove bottlenecks and enable consistency and reuse by providing all data, on demand, in a single logical layer that is governed, secure, and serves a diverse community of users. Immediate access to all data helps you develop actionable insights and act on them in real time. Users are empowered because they can easily search for and select from a self-service directory of virtualized business data and then use their favorite analytics tools to obtain results. They can spend more time analyzing data, less time searching for it.
  • 9
    Presto

    Presto

    Presto Foundation

    Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. For data engineers who struggle with managing multiple query languages and interfaces to siloed databases and storage, Presto is the fast and reliable engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. Different engines for different workloads means you will have to re-platform down the road. With Presto, you get 1 familar ANSI SQL language and 1 engine for your data analytics so you don't need to graduate to another lakehouse engine. Presto can be used for interactive and batch workloads, small and large amounts of data, and scales from a few to thousands of users. Presto gives you one simple ANSI SQL interface for all of your data in various siloed data systems, helping you join your data ecosystem together.
  • 10
    Oracle VM
    Designed for efficiency and optimized for performance, Oracle's server virtualization products support x86 and SPARC architectures and a variety of workloads such as Linux, Windows and Oracle Solaris. In addition to solutions that are hypervisor-based, Oracle also offers virtualization built in to hardware and Oracle operating systems to deliver the most complete and optimized solution for your entire computing environment.
  • 11
    Actifio

    Actifio

    Google

    Automate self-service provisioning and refresh of enterprise workloads, integrate with existing toolchain. High-performance data delivery and re-use for data scientists through a rich set of APIs and automation. Recover any data across any cloud from any point in time – at the same time – at scale, beyond legacy solutions. Minimize the business impact of ransomware / cyber attacks by recovering quickly with immutable backups. Unified platform to better protect, secure, retain, govern, or recover your data on-premises or in the cloud. Actifio’s patented software platform turns data silos into data pipelines. Virtual Data Pipeline (VDP) delivers full-stack data management — on-premises, hybrid or multi-cloud – from rich application integration, SLA-based orchestration, flexible data movement, and data immutability and security.
  • 12
    Clonetab

    Clonetab

    Clonetab

    For ERPs like Oracle e-Business Suite, PeopleSoft & Databases Clonetab is the only software which can virtualize and provide true end-to-end on-demand clones of ERPs (like Oracle e-Business Suite, PeopleSoft) or databases. It can also provide an integrated solution for virtualization, cloning, Disaster Recovery, Backups and Oracle EBS Snapshots. Clonetab engines – Deeply aware of ERP Applications, not just Databases The engines are deeply EBS & PS aware and can identify the major releases (e.g. R12.1, R12.2) and patchset levels like AD, TXK and executes the clone commands accordingly. The platform provides options to retain EBS/PS specific options like profile option retention, Concurrent/Process scheduler setups retention, EBS users with responsibilities retention, Database links, Directories retention, workflows setups and many more options, resulting in a true end-to-end ERP clone.
  • 13
    Rubrik

    Rubrik

    Rubrik

    A logical air gap prevents attackers from discovering your backups while our append-only file system ensures backup data can't be encrypted. You can keep unauthorized users out with globally-enforced multi-factor authentication. From backup frequency and retention to replication and archival, replace hundreds or thousands of backup jobs with just a few policies. Apply the same policies to all your workloads across on-premises and cloud. Archive your data to your public cloud provider’s blob storage service. Quickly access archived data with real-time predictive search. Search across your entire environment, down to the file level, and select the right point in time to recover. Reduce recovery time from days and weeks to hours or less. Rubrik and Microsoft have joined forces to help you build a cyber-resilient business. Reduce the risk of backup data breach, loss, or theft by storing immutable copies of your data in a Rubrik-hosted cloud environment, isolated from your core workloads.
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Guide to Database Virtualization Software

Database virtualization software is a type of technology that enables companies to reduce the cost and effort associated with managing complex databases. The increasing reliance on databases for business operations has made it critical for companies to maintain multiple, independent database architectures in order to meet the demands of their customers.

Database virtualization software allows companies to create an integrated environment where multiple databases can be hosted, managed and shared simultaneously. This creates a much simpler system in which each database is abstracted from the underlying hardware infrastructure, allowing administrators to quickly provision or reconfigure resources without impacting other applications or services.

The abstraction layer created by this software also allows different workloads to run across different servers without having to install multiple copies of the same application. This helps reduce costs related to buying and maintaining additional hardware resources, as well as reducing energy consumption associated with running those extra machines.

Furthermore, this type of software makes it easier for IT teams to move and replicate data between different environments, such as cloud-based systems and on-premise facilities. This increases storage flexibility for organizations that want to take advantage of multiple computing environments. It also provides better scalability options since more machines can be linked together if needed in order to process more data or handle higher volumes of traffic during peak times.

In addition, database virtualization software often includes features like automated backup systems, encryption capabilities and disaster recovery procedures that help ensure data integrity in case something goes wrong with the system. This gives companies peace of mind knowing that their data is safe even if technical failures occur or natural disasters strike unexpectedly.

Finally, database virtualization software often includes tools that allow IT, administrators, to monitor usage patterns in real time so they can quickly identify any areas where performance might be lacking due to excessive demand or inefficient resources allocation. All these benefits make this type of technology essential for many organizations wishing to improve their operational efficiency while still keeping their costs under control.

Features Offered by Database Virtualization Software

  • Database Platform Consolidation: Database virtualization software provides the ability to consolidate multiple databases onto a single platform, eliminating the need for multiple physical machines. This reduces costs and improves efficiency by allowing a single team to manage several databases.
  • Improved Performance: Database virtualization software enables improved performance since the same resources are being utilized across databases, resulting in fewer bottlenecks. Additionally, users can customize their operations to suit their needs, tailoring operations accordingly.
  • Flexibility: Database virtualization software allows organizations to automatically scale up or down as needed, giving them the flexibility they need when managing databases. This also allows companies to easily deploy new applications without needing extra hardware or personnel resources.
  • Security: Database virtualization software grants higher levels of security and data protection than traditional physical solutions due to its secure isolation capabilities that protect sensitive data from malicious actors. Additionally, this software allows for more robust access control management options that prevent unauthorized users from accessing data.
  • Cost Efficiency: By utilizing database virtualization technology, companies are able to reduce operational costs associated with maintaining multiple physical servers and reduce overall IT costs due to reduced hardware requirements and streamlined maintenance processes.

What Are the Different Types of Database Virtualization Software?

Database virtualization software can be divided into three types:

  • System Virtualization: This type of software allows the IT team to install multiple database instances on a single physical server. This optimizes resource utilization, reduces costs, and simplifies management.
  • Storage Virtualization: Storage virtualization provides abstraction between the physical storage resources and the database applications that are running on top of them. It helps reduce complexity, improves scalability, and keeps data secure by providing backup services.
  • Network Virtualization: Network virtualization enables fast communication between different databases by simulating multiple networks on a single physical network infrastructure. It facilitates secure communication between remote databases and improves performance in distributed systems.

Recent Trends Related to Database Virtualization Software

  1. Database virtualization software is becoming increasingly popular as it offers flexibility and scalability in terms of data access, storage and resource allocation.
  2. It allows organizations to manage multiple databases as a single logical unit, providing cost savings and simplified management.
  3. This type of software helps companies reduce their costs by consolidating physical databases into virtual ones, eliminating the need for multiple hardware purchases.
  4. Virtualization can improve data availability and reduce the risk of data loss due to hardware or software failure.
  5. It enables companies to quickly deploy new applications or services without the need to purchase new hardware or reconfigure existing hardware.
  6. Database virtualization software also simplifies the management of large-scale projects, making it easier to monitor and manage performance across databases.
  7. Database virtualization can also help organizations streamline their operations by reducing the number of manual processes involved in managing multiple databases.
  8. By allowing organizations to move data between different platforms more easily, database virtualization can also help them become more agile and responsive to changes in their environment.

Benefits Provided by Database Virtualization Software

  1. Increased Agility: Database virtualization software enables organizations to quickly respond to changing market conditions or business needs. By utilizing this virtualization software, organizations can rapidly deploy new databases and applications, allowing them to quickly adapt to shifting business dynamics.
  2. High Availability: Database virtualization solutions provide organizations with high availability since data is stored in multiple locations across the network. The replication of data ensures that the system is always up and running, even if one node fails.
  3. Improved Performance: Database virtualization software can improve performance by allowing faster response times by eliminating the need for physical storage devices or servers. Additionally, it provides a more consistent environment since all components are contained within a single layer of abstraction from the underlying infrastructure.
  4. Cost Savings: Database virtualization software can help reduce costs associated with deployment and maintenance of databases due to its flexible nature and scalability options available. Moreover, DBAs often don’t need to manage physical hardware when using database virtualization solutions; this further decreases expenses related to purchasing and configuring additional hardware systems as databases evolve over time.
  5. Enhanced Security: As database virtualization allows for rapid deployment of databases without manual configuring of settings, it also helps ensure secure environments with authorization protocols which prevent unauthorized access. Additionally, due to its distributed architecture, database virtualization technology can be used in tandem with encryption tools in order to further secure sensitive information stored within the system.

How to Find the Right Database Virtualization Software

Selecting the right database virtualization software can be a challenging task. Here are a few tips to help you make the right decision:

  1. Identify your business needs: Before choosing any software, it is important to evaluate your business needs and goals. Consider what type of data you will be storing, how often it will need to be accessed, and who should have access to the data. Knowing this information will help you determine which type of software is best for your specific environment.
  2. Research available options: Once you have identified your business needs, research the different types of database virtualization software that are available in the market today. Compare features, pricing, and scalability to make sure that it meets all of your requirements. On this page, we offer a comparison engine to help you compare database virtualization software by their features, prices, user reviews, and more.
  3. Read user reviews: It’s always a good idea to read reviews from current users of the software before making a final decision. This can give you insight into performance issues or other potential problems that could arise with certain software.
  4. Test before purchasing: You may want to consider testing out various versions of the software before investing in one solution long-term. Many companies offer free trials or demos so you can get an idea if it works well with your system or not without having to purchase anything upfront.

Types of Users that Use Database Virtualization Software

  • Database Administrators: Database administrators use database virtualization software to manage the technical aspects of a database, such as creating and updating databases, setting access privileges, and backing up data.
  • Business Analysts: Business analysts use virtualization software to organize and analyze large amounts of data from multiple sources. They can then make decisions based on this information.
  • Developers: Developers use database virtualization software to create applications that rely on multiple databases or for testing new applications before deployment.
  • IT Professionals: IT professionals leverage virtualization software to consolidate their organization’s physical servers into fewer virtual servers, reducing costs associated with server upkeep and maintenance.
  • Data Scientists: Data scientists use database virtualization software to explore complex datasets quickly and identify meaningful patterns within them.

Database Virtualization Software Cost

The cost of database virtualization software can vary greatly depending on the product and the specific requirements of a customer. Generally, customers can expect to pay anywhere from a few hundred dollars to several thousand dollars for database virtualization software depending on their needs. If a customer requires more complex features such as high availability, disaster recovery, and encryption capabilities then they can expect to pay more. Additionally, some products offer customized support packages that also add to the overall cost of the software.

Before purchasing any virtualization software, it is important for customers to understand their specific requirements and budget so they can choose the best solution for their project or business. There are many different vendors offering different versions of database virtualization software with varying features and prices, so doing your research before making an investment is essential.

Types of Software that Database Virtualization Software Integrates With

Database virtualization software can integrate with a variety of different types of software. Popular examples include middleware, data visualization, reporting, and analytics tools. Middleware integration allows organizations to interact with the virtualized database and external applications in the same way they interact with physical databases. Data visualization tools enable users to quickly process complex data sets visually while reporting and analytics tools facilitate analysis in order to identify patterns and trends in the data. Additionally, database virtualization software can also be integrated with enterprise applications such as customer relationship management (CRM) systems. This enables customers to access their data more easily than if it were stored on a physical database system.