TrustRadius

Apache Druid vs. CockroachDB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Druid
Score 10.0 out of 10
N/A
Apache 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
CockroachDB
Score 10.0 out of 10
N/A
CockroachDB is a resilient, globally distributed SQL data platform used by enterprises to run mission-critical AI and other applications that scale and survive disaster. It runs on the Big 3 public clouds, in private clouds, on prem, and in hybrid configurations.N/A
Pricing
Apache DruidCockroachDB
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
DruidCockroachDB
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
Apache DruidCockroachDB
Small Businesses
InfluxDB
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Score 9.0 out of 10
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Score 8.1 out of 10
Medium-sized Companies

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InterSystems IRIS
InterSystems IRIS
Score 8.1 out of 10
Enterprises

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SAP IQ
SAP IQ
Score 5.9 out of 10
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User Ratings
Apache DruidCockroachDB
Likelihood to Recommend
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
Apache DruidCockroachDB
Likelihood to Recommend
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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Pros
  • Rapid ingest
  • Limiting ingest to only the relevant fields/columns
  • Easy ingest spec creation
Verified User
Anonymous
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Cons
  • Security configuration is problematic
  • Cluster management could have more features
  • Troubleshooting incomplete tasks/jobs is a chore
Verified User
Anonymous
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Return on Investment
  • 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
Anonymous
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ScreenShots