TrustRadius

Apache Druid vs. StarTree Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Druid
Score 9.0 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
StarTree Cloud
Score 0.0 out of 10
N/A
StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot, StarTree Cloud integrates with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for fast query responses. StarTree Cloud is available on the public cloud or for private SaaS deployment.N/A
Pricing
Apache DruidStarTree Cloud
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
DruidStarTree Cloud
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Apache DruidStarTree Cloud
User Ratings
Apache DruidStarTree Cloud
Likelihood to Recommend
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
Apache DruidStarTree Cloud
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.
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Pros
  • Rapid ingest
  • Limiting ingest to only the relevant fields/columns
  • Easy ingest spec creation
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Cons
  • Security configuration is problematic
  • Cluster management could have more features
  • Troubleshooting incomplete tasks/jobs is a chore
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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
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ScreenShots