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Apache Druid vs. M3 Open Source Metrics Engine (M3DB)

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Apache Druid

2 Reviews and Ratings

M3 Open Source Metrics Engine (M3DB)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Druid

    Score9 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

    M3 Open Source Metrics Engine (M3DB)

    		N/AN/AM3 is a Prometheus compatible, metrics engine that provides visibility, consisting of 3 simple components for ingestion and streaming aggregation, a timeseries database, and a real-time query engine. It is available free and open source under the Apache 2.0 license, and was originally conceived and created by developers at Uber. Docker is not required but suggested as the easiest way to run and manage M3DB.

    $0

    Pricing
    DruidM3 Open Source Metrics Engine (M3DB)
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    DruidM3 Open Source Metrics Engine (M3DB)
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
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    User Ratings
    DruidM3 Open Source Metrics Engine (M3DB)
    Likelihood to Recommend
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DruidM3 Open Source Metrics Engine (M3DB)
    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
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    Pros
    Apache
    • Rapid ingest
    • Limiting ingest to only the relevant fields/columns
    • Easy ingest spec creation
    Verified User
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    Open Source
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    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
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