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Data Virtuality Platform vs. EDB Postgres Advanced Server

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Data Virtuality Platform

    Score8 out of 10
    N/AData Virtuality, headquartered in Leipzig, offers two products to solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data. The Data Virtuality Platform combines data virtualization and data replication, Data Virtuality Platform provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data…N/A

    EDB Postgres Advanced Server

    Score8 out of 10
    N/AThe EDB Postgres Advanced Server is an advanced deployment of the PostgreSQL relational database with greater features and Oracle compatibility, from EnterpriseDB headquartered in Bedford, Massachusetts.N/A
    Pricing
    Data Virtuality PlatformEDB Postgres Advanced Server
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    Data Virtuality PlatformEDB Postgres Advanced Server
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    Data Virtuality PlatformEDB Postgres Advanced Server
    Small Businesses
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    Score8.1 out of 10
    Medium-sized Companies
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    Score8.2 out of 10
    Enterprises
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    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Data Virtuality PlatformEDB Postgres Advanced Server
    Likelihood to Recommend
    8.0
    (1 ratings)
    10.0
    (2 ratings)
    User Testimonials
    Data Virtuality PlatformEDB Postgres Advanced Server
    Likelihood to Recommend
    Data Virtuality
    Data Virtuality Platform's best and most unique feature is
    that it is SQL-based, giving us flexibility when working with our data that
    other marketing integration pipeline tools couldn't provide. Our main benefits
    are the short time it takes to connect to our data sources and the flexibility
    of the virtual SQL layer to meet our end users' data needs. It paves the way
    for us to tap into various data repositories, extract the data contained
    within, and examine it. It allows us to access information, generate actionable
    reports, and make data-driven decisions. However, inadequate data governance
    rules and a complex configuration process make data connectors challenging.
    Incentivized
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    EnterpriseDB
    It's great if you are using or wish to use PostgreSQL and need the added performance optimization, security features and developer and DBA tools. If you need compatibility with Oracle it's a must-have. There are many developer features that greatly assist dev teams in integrating and implementing complex middleware. It's great for optimizing complex database queries as well as for scaling. I would recommend Postgres Plus Advanced Server for any software development team that is hitting the limit of what PostgreSQL is capable of and wants to improve performance, security, and gain extra developer tools.
    Incentivized
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    Pros
    Data Virtuality
    • ETL/ELT model building is flexible.
    • The pipes' setup and use are intuitive.
    • It lets us access various data sources, extract, and analyze data.
    Incentivized
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    EnterpriseDB
    • PPAS Oracle compatibility, especially the PL/SQL syntax, has made migrating database-tier code very simple. Most Oracle packages do not need to be changed at all and those that do are generally for simple reasons like a reserved word in PPAS that is allowed in Oracle.
    • PPAS xDB, the multi-master replication tool, is simple and - most important - does not break with network or other interruptions. We have been able to configure and forget, which our customers could never do with other multi-master tools.
    • Most people had no idea that PPAS and PostgreSQL have full CRUD support for JSON. They think you need a specialized product and/or that JSON is read-only. Every organization that I have worked with is evaluating adding JSON to their relational model.
    Incentivized
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    Cons
    Data Virtuality
    • Configuring data connectors can be tricky.
    • Price could be more flexible and adapt to the use case.
    • The ETL builder's user interface could be prettier.
    Incentivized
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    EnterpriseDB
    • Documentation is excellent but spread out across many resources and can take a while to wade through—would benefit from having more intro level, getting started guides for various languages.
    • Ruby support is excellent but more Ruby examples and beginner-level documentation would be nice.
    • It is sometimes hard to find a community of users on StackOverflow so a larger community, and a dedicated forum with active members to answer questions and work through issues would be nice.
    Incentivized
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    Alternatives Considered
    Data Virtuality
    Data Virtuality Platform has powerful transformation and
    scheduling capabilities combined with the best support team. A virtual data
    layer that supports SQL procedures is a game changer. Data Virtuality has made
    data management more efficient. It lets us access various data sources, extract,
    and analyze data. The short time it takes to connect to our data sources and
    the flexibility of the virtual SQL layer allows us to meet our end users' data
    needs.
    Incentivized
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    EnterpriseDB
    PPAS proved better for our customer's data-centric apps than Oracle in all but a few edge cases (encryption at rest and multi-TB database-tier backups) because it is simpler to install/maintain, runs nearly all Oracle-syntax SQL as well as ANSI SQL. PPAS has much more JSON capabilities (full CRUD vs. read-only in Oracle), simpler geospatial, simpler / more stable replication and datatypes that match developer expectations, such as BOOLEAN and ENUMs.
    Incentivized
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    Return on Investment
    Data Virtuality
    • It has the capability of integrating data from a variety of different sources.
    • It improved development and user interface to offer a robust MDM repository and strategy.
    • It offers a comprehensive solution for processing and retrieving data, which is one of the ways it assists.
    Incentivized
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    EnterpriseDB
    • Postgres Plus Advanced Server is quite complex and may take longer to implement certain things than simply using PostgreSQL depending on developer familiarity with the platform.
    • Getting up to speed can be daunting so again, there is an upfront cost in time spent learning the platform, besides the potential for extra time spent on a feature-by-feature basis.
    • The cost of Postgres Plus Advanced Server should be weighed against simply using PostgreSQL to decide which is the best solution for your business needs.
    Incentivized
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