TrustRadius

Apache Druid vs. Qdrant

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
Qdrant
Score 0.0 out of 10
N/A
Qdrant is a vector similarity search engine and database for AI applications. Along with open-source, Qdrant is also available in the cloud. It provides a production-ready service with an API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and…N/A
Pricing
Apache DruidQdrant
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
DruidQdrant
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 DruidQdrant
Small Businesses
InfluxDB
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Score 9.0 out of 10
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Score 9.0 out of 10
Medium-sized Companies

No answers on this topic

SQLite
SQLite
Score 8.0 out of 10
Enterprises

No answers on this topic

SQLite
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Score 8.0 out of 10
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User Ratings
Apache DruidQdrant
Likelihood to Recommend
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache DruidQdrant
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
Anonymous
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Qdrant
No answers on this topic
Pros
Apache
  • Rapid ingest
  • Limiting ingest to only the relevant fields/columns
  • Easy ingest spec creation
Verified User
Anonymous
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Qdrant
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
Anonymous
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Qdrant
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
Anonymous
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Qdrant
No answers on this topic
ScreenShots