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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    pandas

    Score10 out of 10
    N/Apandas is an open source, BSD-licensed library providing high-performance data structures and data analysis tools for the Python programming language. pandas is a Python package providing expressive data structures designed to make working with “relational” or “labeled” data both easier. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.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
    pandasPostgreSQL
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    pandasPostgreSQL
    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
    pandasPostgreSQL
    Considered Both Products
    Open Source
    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
    Features
    pandasPostgreSQL
    Platform Connectivity
    Comparison of Platform Connectivity features of pandas and PostgreSQL
    Feature
    pandas
    8.5
    1 Ratings
    2% above category average
    PostgreSQL
    -
    Ratings
    Connect to Multiple Data Sources8.01 Ratings00 Ratings
    Extend Existing Data Sources8.01 Ratings00 Ratings
    Automatic Data Format Detection10.01 Ratings00 Ratings
    MDM Integration8.01 Ratings00 Ratings
    Best Alternatives
    pandasPostgreSQL
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    MySQL
    Score8.4 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    SQLite
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    pandasPostgreSQL
    Likelihood to Recommend
    10.0
    (1 ratings)
    8.3
    (56 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (1 ratings)
    Usability
    10.0
    (1 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
    pandasPostgreSQL
    Likelihood to Recommend
    Open Source
    Pandas are great for quick and relatively simple analytics and visualizations
    Pandas work well for exploratory ad-hoc analytic work
    But , We had little success in implementing complicated predictive analytics. And large data sizes can be a problem.
    Incentivized
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    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
    Open Source
    • It is easy to do statistical analysis
    • It is easy to clean the data
    • It is easy to produce graphs and charts to visualize
    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
    Open Source
    • There are a lot of libraries and ways to do visualization. Sometimes it is very confusing.
    • Error handling can be a challenge. Sometimes the error messages do not provide valuable clues for the debugging.
    • In our case, there are a bunch of different frameworks and libraries working together. I would rather work with one framework, well tuned for my use case
    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
    Open Source
    No answers on this topic
    PostgreSQL Global Development Group
    As a needed software for day to day development activities
    Incentivized
    Read full review
    Usability
    Open Source
    Over the years, we tried a lot of different frameworks and tools, homegrown and commercial. Pandas provide the best results.
    It is lightweight, flexible and easy to implement.
    Incentivized
    Read full review
    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
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    Reliability and Availability
    Open Source
    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
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    Performance
    Open Source
    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
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    Support Rating
    Open Source
    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
    Open Source
    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
    Open Source
    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
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    Alternatives Considered
    Open Source
    All these frameworks are great for gathering data and providing some initial analysis. But for real performance debugging work one needs more than tools provided by this tools. That's where the pandas excel.
    Incentivized
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    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
    Open Source
    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
    Open Source
    • Performance debugging was time consuming and mostly poorly automated exploratory process. Once we started use pandas for these tasks, it really moved the needle. Pandas are instrumental to provide actionable insights. As a result we were able to improve notably cloud software resource utilization and performance
    • Analytics implemented with pandas allow us to detect and. address problems in our APIs before they are notable to our customers
    Incentivized
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    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
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