TrustRadius

Apache Druid vs. Rockset

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
Rockset
Score 1.3 out of 10
N/A
Rockset is a serverless search and analytics engine that does fast SQL on NoSQL data from Kafka, DynamoDB, S3 and more. According to the vendor, it delivers millisecond-latency SQL over TBs of raw data, without any ETL. Rockset integrates with the user's database, data stream or data lake to continuously ingest new data without requiring a schema, while providing full SQL support for filtering, aggregations and joining streaming data with other data sets. Rockset powers data-driven applications…N/A
Pricing
Apache DruidRockset
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DruidRockset
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Best Alternatives
Apache DruidRockset
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10
Yext
Yext
Score 7.8 out of 10
Medium-sized Companies

No answers on this topic

Guru
Guru
Score 9.4 out of 10
Enterprises

No answers on this topic

Guru
Guru
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache DruidRockset
Likelihood to Recommend
9.0
(1 ratings)
9.0
(1 ratings)
User Testimonials
Apache DruidRockset
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
Rockset
1. Usage based billing - helpful in creating query lambdas and workflow around them. 2. Fast data refresh and scheduled running of queries is required. 3. Wherever real-time data is in play in terms of visibility.
Verified User
Anonymous
Read full review
Pros
Apache
  • Rapid ingest
  • Limiting ingest to only the relevant fields/columns
  • Easy ingest spec creation
Verified User
Anonymous
Read full review
Rockset
  • Fast ingest and real-time indexing
  • Complex SQL queries run really fast
  • Lower cost in terms of deployment.
Verified User
Anonymous
Read full review
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
Rockset
  • User interface
  • AI in queries, auto-generated queries
  • Graphing tools
Verified User
Anonymous
Read full review
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
Rockset
  • Didn't need to invest in an external billing software.
  • Major customer feature ask was fulfilled - realtime usage overview
Verified User
Anonymous
Read full review
ScreenShots