Apache Druid vs. ArcadeDB

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
ArcadeDB
Score 0.0 out of 10
Mid-Size Companies (51-1,000 employees)
ArcadeDB is an open-source multi-model database that natively supports graphs, documents, key-value pairs, time series, and vector embeddings. Unlike databases that support a single data model, ArcadeDB lets users combine multiple models in the same query, eliminating the need for separate specialized databases and complex data synchronization pipelines. ArcadeDB speaks the languages developers already know. It supports SQL, Apache Cypher, Apache Gremlin, GraphQL,…
$299
per month per installation
Pricing
Apache DruidArcadeDB
Editions & Modules
No answers on this topic
Silver
$299
per month per installation
Gold
$599
per month per installation
Platinum
$1,499
per month per installation
Offerings
Pricing Offerings
DruidArcadeDB
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsDiscount available for annual billing.
More Pricing Information
Best Alternatives
Apache DruidArcadeDB
Small Businesses
InfluxDB
InfluxDB
Score 9.0 out of 10
Neo4j
Neo4j
Score 9.0 out of 10
Medium-sized Companies

No answers on this topic

Neo4j
Neo4j
Score 9.0 out of 10
Enterprises

No answers on this topic

Neo4j
Neo4j
Score 9.0 out of 10
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User Ratings
Apache DruidArcadeDB
Likelihood to Recommend
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
Apache DruidArcadeDB
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

ArcadeDB Screenshots

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