Name: Rockset
Rating: 9 (3 reviews)
Author: Rockset

Communications Outsourcing

Help Desk

Web and Video Conferencing

Customer Support

Push Notifications

Development

Business Intelligence (BI)

Calibration Management

Collaboration

Environmental, Social, and Governance (ESG)

Interactive Voice Response (IVR)

Enterprise

Accounting

Online Trading

Payment Gateway

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Onboarding

Employee Performance Management

HR Management

On-Demand Payment

Payroll

Professional Employer Organizations (PEO)

Resume Parsing

Succession Planning

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

API Management

Cloud Storage

Distributed Denial of Service (DDoS) Protection

Dynamic Application Security Testing (DAST)

Embedded Business Intelligence (BI)

Endpoint Encryption

File Sync and Share

Fraud Detection

HTML Editors

Hyper-Converged Infrastructure

Integration Platform as a Service (iPaaS)

Monolithic Frame-based Disk Arrays

Network Performance Monitoring

Network Virtualization

Password Management System

Remote Monitoring and Management

Routers

Secure Email Gateway

Session Border Controllers

Solid State Drives

Static Application Security Testing (SAST)

Static Code Analysis

VoIP Monitoring

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Business Card Scanning

Content Management

Data Management

Direct Mail Automation

Email Marketing

Marketing Automation

Marketing Resource Management

Real-Time Interaction Management

Search Marketing Intelligence

Social Media Management

Survey & Forms Building

Video Streaming

Web Analytics

Marketing

Project Management

Transcription

Professional Services

Customer Relationship Management (CRM)

Sales Gamification

Sales

Auto Repair

Car Rental

Equation Editors

Forestry

Insurance Agency Management

Vertical-Specific

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### Real-Time Data Processing
Users generally praise Rockset for its real-time data processing capabilities. They highlight the tool's ability to efficiently handle data at scale, enabling quick queries and actions within tight timeframes. The real-time analytics provided by Rockset have significantly improved operational efficiency and decision-making processes for many users. The tool's dynamic scaling feature and cloud-native architecture have been particularly beneficial in enhancing scalability and profitability for businesses. Rockset's real-time data processing functionality has been instrumental in driving productivity, collaboration, and immediate access to critical insights, ultimately streamlining workflows and maximizing efficiency.

### Database Management and Integration
Users across various reviews consistently highlight Rockset's database management and integration capabilities as a key strength of the platform. They appreciate how Rockset simplifies the process of handling structured and semi-structured data from different sources like AWS DynamoDB and Kinesis streams. The ability to query data in real-time and integrate it seamlessly into their workflows has been a significant advantage for users. Additionally, the support provided by Rockset's team has been commended for its responsiveness and effectiveness in addressing any challenges users encounter during the integration process.

### Advanced Query Capabilities
Users consistently praise Rockset for its advanced query capabilities, highlighting the platform's ability to query data easily and efficiently. The flexibility to write SQL queries on DynamoDB data has been a game-changer for many, enabling them to generate insightful analytics and reports swiftly. Despite some minor inconveniences, such as the need to create query lambdas for operational dashboards, the overall sentiment remains positive towards Rockset's advanced query capabilities. Users appreciate the speed and simplicity with which they can access and manipulate their data, especially when compared to the limitations experienced with other databases like Mongo.

### API Connectivity and Management
Users universally praise Rockset's API connectivity and management capabilities. Reviewers consistently highlight the ease of integrating Rockset into existing APIs and front ends, emphasizing the natural feel of working with the platform. The ability to connect to various BI tools like Grafana, Power BI, and Qlik Sense through the Rockset API is lauded for its simplicity and effectiveness. Additionally, users appreciate the quick setup process and the exceptional customer support provided by Rockset. The platform's flexibility in connecting to different tools and the smooth experience in querying and ingesting data sources contribute to a positive user experience with Rockset's API connectivity and management features.

### Data Source Integration
Users appreciate Rockset's ability to effortlessly connect with a range of data sources, including AWS DynamoDB and Kinesis streams, enabling real-time data synchronization. The platform's intuitive integration capabilities have proven invaluable for users in aggregating and visualizing data for their dashboards and exports. Additionally, the responsive support provided by Rockset has been instrumental in addressing any integration challenges users encounter, further enhancing the overall experience with the service.

### Cloud-Based Solutions
Users generally praise Rockset's cloud-native service for its efficiency and scalability. The consensus among reviewers is that Rockset's cloud-based solutions have significantly improved their data querying processes. Users appreciate the ease of setting up and utilizing the cloud-native service, highlighting its ability to handle real-time analytics and provide fast query results. Additionally, the automatic distribution of shards and dynamic scaling capabilities have been commended for enabling teams to scale effortlessly without manual intervention. The positive feedback on Rockset's cloud-based solutions underscores its value in enhancing operational efficiency and facilitating real-time data analysis.

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.

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.

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.

Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.

Standard

Gold

Platinum

Glean is an AI-powered workplace search tool that supports search across all of a company's apps, centralizing company knowledge and helping employees to more quickly find what they need, with 100+ connectors.

Glean for Individuals - Monthly

Glean for Individuals - 1 Year

Glean for Individuals - 2 Year

Glean for Individuals - 3 Year

Glean for Individuals - 4 Year

Rockset

Enterprise search is the organized retrieval of structured and unstructured data within an organization. Enterprise search creates an easily navigated interface for entering, categorizing and retrieving data securely, in compliance with security and data retention regulations. Products in this category can be made available to customers, partners or employees.

Enterprise Search

Rockset is a serverless search and analytics engine that allows you to build data-driven apps quickly and easily. In this demo, we will show how you can build a serverless microservice using Rockset.

Rockset - Building a Serverless Microservice

There are now more ways to create and execute query lambdas than just the console! Check out the demo to see the upcoming release of our developer tools in **Beta**. 

CLI: This allows you to create and execute query lambdas. You can also run queries you've written. 

Developer UI: This list all QL's locally bound on your file system, and allows you to execute against them. You can add parameters and see the results in JSON or table format.

VSCode Plugin:  You get syntax highlighting and are able to run queries inside the editor.

Rockset's Developer Tool Demo: CLI, Developer UI, and VSCode Plugin

New Rockset Query Editor

Real Time analytics with Rockset - Role Based Access Control Short Demo

Live Rockset Demo

Rockset Apache Kafka Integration + Rollups demo

Likelihood to Recommend

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Rockset 2023-10-29 06:36:03

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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.

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

TickTick, Notion, Figma, Whimsical, FullStory, HubSpot Sales Hub, HubSpot Marketing Hub, Grafana Loki, Amplitude Analytics, Twilio Segment, Balsamiq, OBS Studio, Deepgram, AssemblyAI

Rockset

Overview

What is Rockset?