Apache Druid vs. GreptimeDB

Apache Druid

Apache Druid

3 Reviews and Ratings

GreptimeDB

GreptimeDB

0 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting 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
GreptimeDB	Score 0.0 out of 10	N/A	Greptime offers a time series database products and solutions to empower IoT and Observability scenarios. Through real-time analytics of massive observability data from edge to cloud, Greptime enables enterprises to gain more valuable insights with less time, complexity, and cost. GreptimeDB GreptimeDB is an open-source time series database written in Rust. Built for high speed and performance, GreptimeDB is…	$0 per month flexible, pay-as-you-go

Pricing

Apache Druid

GreptimeDB

Editions & Modules

No answers on this topic

Serverless: $8
per month
Dedicated: $232
per month
BYOC and Business License: Custom Price

Offerings

Pricing Offerings
Druid	GreptimeDB
Free Trial
No	Yes
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Optional

Additional Details

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More Pricing Information

Best Alternatives
	Apache Druid	GreptimeDB
Small Businesses	InfluxDB Score 8.8 out of 10	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 Alternatives	View all alternatives	View all alternatives

User Ratings
	Apache Druid	GreptimeDB
Likelihood to Recommend	9.0 (1 ratings)	- (0 ratings)

User Testimonials
	Apache Druid	GreptimeDB
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	Greptime 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	Greptime 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	Greptime 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	Greptime No answers on this topic
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