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Apache Druid vs. GraphQL

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Apache Druid

3 Reviews and Ratings

GraphQL

1 Reviews and Ratings

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Druid

    Score10 out of 10
    		N/AApache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture.N/A

    GraphQL

    Score7 out of 10
    		N/AGraphQL is a query language for APIs and a runtime for fulfilling those queries with existing data. GraphQL provides an understandable description of the data in an API, to give clients the ability to ask for exactly what they need and nothing more, to make it easier to evolve APIs over time, and enables developer tools. It is free to use and open source under an MIT license.

    $0

    Pricing
    DruidGraphQL
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    DruidGraphQL
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    DruidGraphQL
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    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    Snowflake
    Score8.7 out of 10
    PostgreSQL
    Score8.8 out of 10
    Enterprises
    Snowflake
    Score8.7 out of 10
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    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DruidGraphQL
    Likelihood to Recommend
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DruidGraphQL
    Likelihood to Recommend
    Apache
    It is extremely well suited to rapid ingest of data from large data sources, due to the fact that you can restrict what is ingested by column/field, so that you only pull in the data you actually want or need.
    As stated earlier, the open source version could use better cluster management tools, and troubleshooting tools for failing jobs/tasks.
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    Open Source
    No answers on this topic
    Pros
    Apache
    • Rapid ingest
    • Limiting ingest to only the relevant fields/columns
    • Easy ingest spec creation
    Verified User
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    Open Source
    No answers on this topic
    Cons
    Apache
    • Security configuration is problematic
    • Cluster management could have more features
    • Troubleshooting incomplete tasks/jobs is a chore
    Verified User
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    Open Source
    No answers on this topic
    Return on Investment
    Apache
    • Integration with S3 storage has saved about 35% on our storage, over HDFS
    • The rapid ingest has saved user's time in the query aspects of their applications.
    • The ability to ingest from a variety of data sources has made overall user application queries much simpler
    Verified User
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    Open Source
    No answers on this topic
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