TrustRadius

Apache Druid vs. M3 Open Source Metrics Engine (M3DB)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Druid
Score 9.9 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
M3 Open Source Metrics Engine (M3DB)
Score 0.0 out of 10
N/A
M3 is a Prometheus compatible, metrics engine that provides visibility, consisting of 3 simple components for ingestion and streaming aggregation, a timeseries database, and a real-time query engine. It is available free and open source under the Apache 2.0 license, and was originally conceived and created by developers at Uber. Docker is not required but suggested as the easiest way to run and manage M3DB.
$0
Pricing
Apache DruidM3 Open Source Metrics Engine (M3DB)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DruidM3 Open Source Metrics Engine (M3DB)
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 DruidM3 Open Source Metrics Engine (M3DB)
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies

No answers on this topic

No answers on this topic

Enterprises

No answers on this topic

No answers on this topic

All AlternativesView all alternativesView all alternatives
User Ratings
Apache DruidM3 Open Source Metrics Engine (M3DB)
Likelihood to Recommend
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache DruidM3 Open Source Metrics Engine (M3DB)
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
Read full review
Open Source
No answers on this topic
Pros
Apache
  • Rapid ingest
  • Limiting ingest to only the relevant fields/columns
  • Easy ingest spec creation
Verified User
Anonymous
Read full review
Open Source
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
Read full review
Open Source
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
Read full review
Open Source
No answers on this topic
ScreenShots