RisingWave Market Research Report



Company Overview



Name and Mission


  • Company Name: RisingWave Labs

  • Mission: To democratize stream processing by making it simple, affordable, and accessible.


Founding Information


  • Founded: 2021

  • Founder: Yingjun Wu


Key People


  • Yingjun Wu: Founder and CEO. Previously a software engineer at Amazon Web Services and a researcher at IBM Almaden Research Center. Holds a PhD from the National University of Singapore.

  • Eric Fu: Founding Engineer and Head of Database Engineering. Holds a Bachelor’s degree in Computer Science from Nanjing University.

  • Rayees Pasha: Head of Product. Holds Master’s degrees in Computer Science from the University of Memphis and the University of Arizona.

  • Xiangyu (Samuel) Hu: Founding Member and Head of Solutions and Cloud Engineering. Holds a Bachelor's degree from Fudan University.


Headquarters


  • Location: 95 3rd St, 2nd Floor, San Francisco, CA 94103


Additional Details


  • Number of Employees: No information is available

  • Revenue: No information is available

  • What is the Company Known For: RisingWave is known for its cloud-native streaming SQL platform designed for real-time insights on streaming data.


Products



Overview


RisingWave offers two key products:
1. RisingWave Cloud
2. RisingWave Database

Product Details



RisingWave Cloud


  • Description: A fully managed service providing SQL-based stream processing platform built on a cloud-native architecture.

  • Key Features:

  • Real-time analytics and continuous monitoring.

  • Seamless integration with PostgreSQL ecosystem.

  • Scalability and fault tolerance with transparent dynamic scaling and instant failure recovery.

  • Visual tools for creating and managing streams and queries.


RisingWave Database


  • Description: An open-source, distributed and decoupled SQL streaming database built using Rust for cloud-native environments.

  • Key Features:

  • Incremental computations on streaming data.

  • SQL compatibility with PostgreSQL.

  • Native support for materialized views, providing always-on analytics and reduced latency.

  • Integration with various data systems like Apache Kafka, AWS S3, PostgreSQL CDC, etc.


Integrations


  • Direct Integration Systems:

  • MySQL

  • Apache Kafka

  • Apache Pulsar

  • Amazon Kinesis

  • Google Pub/Sub

  • Confluent Cloud

  • Amazon S3

  • MongoDB

  • PostgreSQL

  • Google Cloud Storage

  • ClickHouse

  • Apache Iceberg

  • CockroachDB

  • Delta Lake

  • Google BigQuery

  • Snowflake

  • Elasticsearch


Recent Developments



New Products and Features



1. RisingWave 2.0
  • Focus Areas: Unified SQL streaming and batch processing, data lake integration, enhanced streaming and batch ingestion, and execution.

  • Key Improvements: Schemaless ingestion, enhanced schema evolution, incremental and ad-hoc querying on a wider array of data sources.


2. User-Defined Functions (UDFs)
  • Support for External UDFs: Python and Java external function UDFs were introduced, allowing users to perform flexible and isolated operations.


3. Real-Time IoT Device Monitoring
  • Solution: RisingWave collaborated with HiveMQ for ingesting and processing real-time IoT device data, showcasing RisingWave's capability in real-time anomaly detection and data visualization.


4. Visualization Tools
  • Built-in Features: Support for various visualization formats including tables, line charts, area charts, bar charts, with capabilities for automatic and manual data refresh and downloading results for offline analysis.


Partnerships and Collaborations


  • Key Partners Include:

  • Cloud Partners: AWS, Google Cloud Platform

  • Streaming Partners: Confluent, Redpanda, StreamNative, Upstash, Instaclustr, Tabular

  • Database Partners: Clickhouse, StarTree, Supabase, dbt

  • Community Partners: Data Engineering Singapore, AICamp, DBeaver, Cube


Funding and Growth


  • Series A Funding: Raised $36 million in Series A funding.

  • Customer Growth: Significant increase in customer adoption and product deployments across various industries worldwide.


Industry Use Cases


  • Financial Services: Real-time risk analysis, fraud detection.

  • Energy: Monitoring energy grids, resource optimization, anomaly detection.

  • Manufacturing: Real-time production line monitoring, predictive maintenance.

  • E-commerce: Real-time customer behavior analysis, personalization, fraud detection.


Press Releases and Market Presence


  • Recent News:

  • March 19, 2024: Release of the “Stream Processing for All” with Developer Tier and Standalone Deployment mode.

  • June 27, 2023: General Availability of RisingWave Cloud.


This concludes the detailed market research report on RisingWave Labs. All information provided is based on the data available. Fields without mentioned details indicate no information was found.