Apache Druid vs. Baserow

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
Baserow
Score 0.0 out of 10
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
Free forever Unlimited
Pricing
Apache DruidBaserow
Editions & Modules
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
Offerings
Pricing Offerings
DruidBaserow
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
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Apache DruidBaserow
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User Ratings
Apache DruidBaserow
Likelihood to Recommend
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
Apache DruidBaserow
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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No answers on this topic
ScreenShots

Baserow Screenshots

Screenshot of Baserow collaboration featuresScreenshot of Baserow field typesScreenshot of Baserow's centralization of information: stores, retrieves and visualizes data with different views.Screenshot of Data security: features advanced user management with role-based access control (RBAC).Screenshot of Baserow's API: Supports webhooks and connects Baserow with other tools.