RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing

1

Apache Superset

By making RisingWave compatible with PostgreSQL, we ensured that any developer familiar with SQL could immediately start writing streaming queries. This wasn't just about syntax; it meant RisingWave could plug seamlessly into existing data workflows and connect easily with a vast ecosystem of familiar tools like DBeaver, Grafana, Apache Superset, dbt, and countless others.

#Data Analysis And Visualization #Business Intelligence #Data Dashboard 59 social mentions

2

Spark Streaming

The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry remained stubbornly high.

#Big Data #Stream Processing #Data Management 5 social mentions

3

Samza

The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry remained stubbornly high.

#Analytics #Workflow Automation #Stream Processing 3 social mentions

4

RisingWave

When we started RisingWave four years ago, we set out with a bold mission: to democratize stream processing (check our original blog here). Back then, building real-time streaming applications felt like climbing a mountain. It required specialized infrastructure, deep engineering know-how, and a hefty operational commitment. Stream processing had incredible potential, but its sheer complexity kept it locked away from most companies.

#Databases #Stream Processing #SQL 13 social mentions

5

Redis

Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards).

#Key-Value Database #NoSQL Databases #Databases 218 social mentions

6

Grafana

By making RisingWave compatible with PostgreSQL, we ensured that any developer familiar with SQL could immediately start writing streaming queries. This wasn't just about syntax; it meant RisingWave could plug seamlessly into existing data workflows and connect easily with a vast ecosystem of familiar tools like DBeaver, Grafana, Apache Superset, dbt, and countless others.

#Data Dashboard #Data Visualization #Data Analytics 240 social mentions

7

Apache Flink

The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry remained stubbornly high.

#Stream Processing #Developer Tools #Big Data 41 social mentions

8

DBeaver

By making RisingWave compatible with PostgreSQL, we ensured that any developer familiar with SQL could immediately start writing streaming queries. This wasn't just about syntax; it meant RisingWave could plug seamlessly into existing data workflows and connect easily with a vast ecosystem of familiar tools like DBeaver, Grafana, Apache Superset, dbt, and countless others.

#Databases #Database Management #MySQL Tools 104 social mentions

9

Google BigQuery

Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure.

#Data Management #Data Warehousing #Data Dashboard 42 social mentions