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Alibaba Cloud ApsaraDB vs. Apache Druid

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ApsaraDB
Score 7.0 out of 10
N/A
Alibaba Cloud offers ApsaraDB, a range of scalable online database services that provide operation and maintenance of more than 90% of the mainstream open source and commercial databases (such as MySQL, SQL Server, and Redis). Also, ApsaraDB provides POLARDB performant databases. In addition, ApsaraDB offers HybridDB with 100TB of real-time data computational capabilities. ApsaraDB delivers a comprehensive solution that includes disaster recovery, backups, restoration, monitoring, and migration.N/A
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
Pricing
Alibaba Cloud ApsaraDBApache Druid
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
ApsaraDBDruid
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
Alibaba Cloud ApsaraDBApache Druid
Small Businesses
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Medium-sized Companies
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Score 7.4 out of 10

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Enterprises
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User Ratings
Alibaba Cloud ApsaraDBApache Druid
Likelihood to Recommend
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
Alibaba Cloud ApsaraDBApache Druid
Likelihood to Recommend
No answers on this topic
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
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  • Rapid ingest
  • Limiting ingest to only the relevant fields/columns
  • Easy ingest spec creation
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Cons
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  • Security configuration is problematic
  • Cluster management could have more features
  • Troubleshooting incomplete tasks/jobs is a chore
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Return on Investment
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  • 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