TrustRadius: an HG Insights company

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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

    Rockset (discontinued)

    Score1.1 out of 10
    N/ARockset was a serverless search and analytics engine that does fast SQL on NoSQL data from Kafka, DynamoDB, and S3, boasting millisecond-latency SQL over TBs of raw data, without any ETL. The product was acquired by OpenAI, and is no longer available as a standalone product.N/A
    Pricing
    DruidRockset (discontinued)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    DruidRockset (discontinued)
    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
    Best Alternatives
    DruidRockset (discontinued)
    Small Businesses
    No answers on this topic
    Elasticsearch
    Score8.3 out of 10
    Medium-sized Companies
    Snowflake
    Score8.7 out of 10
    Elasticsearch
    Score8.3 out of 10
    Enterprises
    Snowflake
    Score8.7 out of 10
    Amazon CloudSearch
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DruidRockset (discontinued)
    Likelihood to Recommend
    9.0
    (1 ratings)
    9.0
    (1 ratings)
    User Testimonials
    DruidRockset (discontinued)
    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.
    Read full review
    Discontinued Products
    1. Usage based billing - helpful in creating query lambdas and workflow around them. 2. Fast data refresh and scheduled running of queries is required. 3. Wherever real-time data is in play in terms of visibility.
    Incentivized
    Read full review
    Pros
    Apache
    • Rapid ingest
    • Limiting ingest to only the relevant fields/columns
    • Easy ingest spec creation
    Read full review
    Discontinued Products
    • Fast ingest and real-time indexing
    • Complex SQL queries run really fast
    • Lower cost in terms of deployment.
    Incentivized
    Read full review
    Cons
    Apache
    • Security configuration is problematic
    • Cluster management could have more features
    • Troubleshooting incomplete tasks/jobs is a chore
    Read full review
    Discontinued Products
    • User interface
    • AI in queries, auto-generated queries
    • Graphing tools
    Incentivized
    Read full review
    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
    Read full review
    Discontinued Products
    • Didn't need to invest in an external billing software.
    • Major customer feature ask was fulfilled - realtime usage overview
    Incentivized
    Read full review
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