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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    HPE Data Fabric

    Score9.4 out of 10
    N/AHPE Data Fabric (formerly MapR, acquired by HPE in 2019) is a software-defined datastore and file system that simplifies data management and analytics by unifying data across core, edge, and multicloud sources into a single platform.N/A

    PostgreSQL

    Score8.8 out of 10
    N/APostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.N/A
    Pricing
    HPE Data FabricPostgreSQL
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HPE Data FabricPostgreSQL
    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
    Community Pulse
    HPE Data FabricPostgreSQL
    Considered Both Products
    Hewlett Packard Enterprise (HPE)
    No answer on this topic
    PostgreSQL Global Development Group
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    32 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    32 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    32 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    25 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    31 Answers
    Best Alternatives
    HPE Data FabricPostgreSQL
    Small Businesses
    No answers on this topic
    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    HBase
    Score7.3 out of 10
    MySQL
    Score8.4 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    SQLite
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HPE Data FabricPostgreSQL
    Likelihood to Recommend
    7.2
    (4 ratings)
    8.3
    (56 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (1 ratings)
    Usability
    -
    (0 ratings)
    8.3
    (9 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    7.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    9.3
    (7 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    HPE Data FabricPostgreSQL
    Likelihood to Recommend
    Hewlett Packard Enterprise (HPE)
    MapR is more well-suited for people who know what they are doing. I consider MapR the Hadoop distribution professionals use.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.
    Incentivized
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    Pros
    Hewlett Packard Enterprise (HPE)
    • MapR had very fast I/O throughput. The write speed was several times faster than what we could achieve with the other Hadoop vendors (Cloudera and Hortonworks). This is because MapR does not use HDFS, which is essentially a "meta filesystem". HDFS is built on top of the filesystem provided by the OS. MapR has their filesystem called MapR-FS, which is a true filesystem and accesses the raw disk drives.
    • The MapR filesystem is very easy to integrate with other Linux filesystems. When working with HDFS from Apache Hadoop, you usually have to use either the HDFS API or various Hadoop/HDFS command line utilities to interact with HDFS. You cannot use command line utilities native to the host operation system, which is usually Linux. At least, it is not easily done without setting up NFS, gateways, etc. With MapR-FS, you can mount the filesystem within Linux and use the standard Unix commands to manipulate files.
    • The HBase distribution provided by MapR is very similar to the Apache HBase distribution. Cloudera and Hortonworks add GUIs and other various tools on top of their HBase distributions. The MapR HBase distribution is very similar to the Apache distribution, which is nice if you are more accustomed to using Apache HBase.
    Incentivized
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    PostgreSQL Global Development Group
    • It works well with external data sources and runs on platforms with stable performance.
    • Clients can rest assured that their personal information will be safe and secure.
    • Many forums discuss setup and usage, and most are free.
    • Adding tooling applications to a computer is unlimited.
    • PostgreSQL runs on many OS platforms and supports ANSI SQL, stored procedures, and triggers.
    Read full review
    Cons
    Hewlett Packard Enterprise (HPE)
    • It takes time to get latest versions of Apache ecosystem tools released as it has to be adapted.
    • When you have issues related to Mapr-FS or Mapr Tables, its hard to figure them out by ourselves.
    • Sometime new ecosystem tools versions are released without proper QA.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    • Clearer indications on what is the query plan, to optimize the query
    • More out of the box, Postgres specific, SQL functions
    • It would be nice to have a more visual aid of the relationship between all tables, but possibly this depend more on the UI used
    Incentivized
    Read full review
    Likelihood to Renew
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    PostgreSQL Global Development Group
    As a needed software for day to day development activities
    Incentivized
    Read full review
    Usability
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    PostgreSQL Global Development Group
    Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
    Incentivized
    Read full review
    Reliability and Availability
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    PostgreSQL Global Development Group
    PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.
    Incentivized
    Read full review
    Performance
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    PostgreSQL Global Development Group
    The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
    Incentivized
    Read full review
    Support Rating
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    PostgreSQL Global Development Group
    There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
    But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
    Incentivized
    Read full review
    Online Training
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    PostgreSQL Global Development Group
    The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
    Incentivized
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    Implementation Rating
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    PostgreSQL Global Development Group
    The online documentation of the PostgreSQL product is elaborate and takes users step by step.
    Incentivized
    Read full review
    Alternatives Considered
    Hewlett Packard Enterprise (HPE)
    I don't believe there is as much support for MapR yet compared to other more widely known products.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.
    Incentivized
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    Scalability
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    PostgreSQL Global Development Group
    The DB is reliable, scalable, easy to use and resolves most DB needs
    Incentivized
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    Return on Investment
    Hewlett Packard Enterprise (HPE)
    • Increased employee efficiency for sure. Our clients have various levels of expertise in their deployment and user teams, and we never receive complaints about MapR.
    • MapR is used by one of our financial services clients who uses it for fraud detection and user pattern analysis. They are able to turn around data much faster than they previously had with in-house applications
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    • Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
    • Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.
    • It's free. You can't beat that.
    Incentivized
    Read full review
    ScreenShots