Apache Druid vs. Baserow

Apache Druid

3 Reviews and Ratings

Baserow

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Druid	Score10 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
Baserow	N/A	N/A	Baserow is an open-source no-code database platform that helps businesses manage data. It is used to create custom database applications without any coding skills, and supports real-time collaboration, workflow automation, streamlined data management and data-driven decisions. Key features include: No-code: Custom database applications can be created without any coding skills. Open source: Self-hosted and on-premise to meet even the strictest of data and legal compliance…	$0 per user

Pricing

Druid

Baserow

No answers on this topic

Open source: $0
Free forever Unlimited
Free: $0
Premium: $5
per month per user
Premium: $5
per month per user
Advanced: $20
per month per user
Enterprise: Contact sales
per year per user

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

No setup fee

No setup fee

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Best Alternatives
	Druid	Baserow
Small Businesses	No answers on this topic	Creatio Score9.3 out of 10
Medium-sized Companies	Snowflake Score8.7 out of 10	Creatio Score9.3 out of 10
Enterprises	Snowflake Score8.7 out of 10	Creatio Score9.3 out of 10
All Alternatives	View all alternatives	View all alternatives

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

User Testimonials
	Druid	Baserow
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 Read full review	Baserow No answers on this topic
Pros	Apache Rapid ingest Limiting ingest to only the relevant fields/columns Easy ingest spec creation Verified User Read full review	Baserow 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 Read full review	Baserow 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 Read full review	Baserow No answers on this topic
ScreenShots		Baserow Screenshots