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Apache Druid vs. TDengine

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Apache Druid

2 Reviews and Ratings

TDengine

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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

    TDengine

    		N/AN/ATDengine™ is an open-source, cloud-native time-series database (TSDB) optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables the real-time ingestion, processing, and monitoring of petabytes of data per day, generated by billions of sensors and data collectors. The major benefits of TDengine are as follows: High performance: TDengine does not suffer from performance degradation with high-cardinality data…

    $820

    per month

    Pricing
    DruidTDengine
    Editions & Modules
    No answers on this topic
    TDengine Cloud Starter
    $820
    per month
    TDengine Cloud Small
    $1,640
    per month
    TDengine Cloud Medium
    $3,290
    per month
    TDengine Cloud Large
    $6,570
    per month
    TDengine Cloud XLarge
    $13,150
    per month
    TDengine OSS
    Free
    TDengine Enterprise
    Contact Us
    Offerings
    Pricing Offerings
    DruidTDengine
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
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    DruidTDengine
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    DruidTDengine
    Likelihood to Recommend
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DruidTDengine
    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.
    Verified User
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    TDengine
    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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    TDengine
    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
    Read full review
    TDengine
    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
    Read full review
    TDengine
    No answers on this topic
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