Helps in solving the problem of real-time data and workflows around it
It is actually at the core of our product billing. Since ours is a usage based product, it is easy to ingest data from a CDP, write …
Overview
What is Rockset?
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…
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What is Rockset?
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…
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
Rockset Apache Kafka Integration + Rollups demo
YouTube
Live Rockset Demo
YouTube
Real Time analytics with Rockset - Role Based Access Control Short Demo
YouTube
New Rockset Query Editor
YouTube
Rockset's Developer Tool Demo: CLI, Developer UI, and VSCode Plugin
YouTube
Rockset - Building a Serverless Microservice
YouTube
Product Details
- About
- Integrations
- Competitors
- Tech Details
What is Rockset?
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 and interactive dashboards without requiring users to manage custom pipelines, servers or databases.
Rockset Features
- Supported: Fast SQL on NoSQL data from Kafka, S3, DynamoDB and more
- Supported: Dynamic schemas on JSON, Parquet, XML, CSV
- Supported: Millisecond-latency SQL including joins
Rockset Integrations
- Amazon DynamoDB
- Apache Kafka
- Amazon Kinesis
- Google Cloud Storage
- Amazon Redshift
- Amazon S3 (Simple Storage Service)
Rockset Competitors
Rockset Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Languages | Go, Python, Java, JS, R |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
Rockset has provided companies with a reliable solution to their database and analytics needs, leading to an increase in productivity and work efficiency. Particularly, users have found that Rockset's implementation process is straightforward, even for those who are not experienced in this field. From experimental apps built for in-store operations to logging and accessing data about the abiotic environment, users have been able to carry out their work without any technical hassles.
The ability to conduct advanced analytics reporting around geospatial data and generate real-time analytics and data views through operational and sales dashboards has also been a significant benefit for users. Those who have outgrown their previous databases like Mongo have found scalability and profitability using Rockset. Users can utilize fast reads and writes with Mongo while conducting more complicated queries with Rockset concurrently. Overall, Rockset's SQL-style queries have eased the user experience in terms of generating faster reports and analytics during complex data set analysis, as mentioned by reviewers, customers, and users.
Real-time analytics: Users have praised Rockset for its real-time analytics, which enables fast queries and structured as well as semi-structured database data building in real-time. Many reviewers found this feature helpful and efficient for processing and storing data in the cloud.
Automatic shard distribution: Several users have appreciated the automatic shard distribution feature of Rockset that allows teams to scale without any manual intervention. This makes it easy to query without defining data schema in the early stages of product development.
Excellent customer support: Reviewers have commended Rockset's customer support team for being responsive and helpful, even for minor paid plans. They appreciated that the team was available to set up calls, give advice on integration, and reply to all their queries promptly.
Lack of psql shell: Some users have expressed dissatisfaction with Rockset due to the lack of a shell like psql in the product, as they found it inconvenient to not have access to such a feature.
Complicated query lambda process: Several users have reported that creating a query lambda and separately adding it in Retool is a bit of a pain, suggesting that this could be improved for better user experience.
Dedicated instances only: A few users have noted that Rockset's approach of only having dedicated instances seems old-fashioned compared to auto-scaling up and down to meet requirements, leaving room for improvement.
Reviews
(1-1 of 1)Companies can't remove reviews or game the system. Here's why
It is actually at the core of our product billing. Since ours is a usage based product, it is easy to ingest data from a CDP, write queries to get the required numbers, and build a workflow around those queries to bill our customers.
Additionally, the same workflows are used to expose the same data to our customers' dashboard for transparency.
Additionally, the same workflows are used to expose the same data to our customers' dashboard for transparency.
- Fast ingest and real-time indexing
- Complex SQL queries run really fast
- Lower cost in terms of deployment.
- User interface
- AI in queries, auto-generated queries
- Graphing tools
- Faster query and search
- Query lambdas and workflow building
- Helpful in bringing together multiple datasets from different sources
- Didn't need to invest in an external billing software.
- Major customer feature ask was fulfilled - realtime usage overview
- Elasticsearch