RisingWave Reviews

Databricks Reviews

RisingWave mentions (18)

• Build a Real-Time Gaming Analytics Pipeline with Just SQL

  Player data is ingested into a Kafka topic, and RisingWave consumes this stream to create materialized views for real-time analysis. Using BI tools like Superset or Grafana, we’ll build dashboards to monitor player performance and power leaderboards. Finally, I’ll show how the results from RisingWave can be sent to analytics platforms like BigQuery, Snowflake, or StarRocks and ML models for downstream applications... - Source: dev.to / 12 months ago

• The Equality Delete Problem in Apache Iceberg

  RisingWave is the only system today that supports complete, end-to-end architecture for streaming CDC into Apache Iceberg, making it the state-of-the-art solution in this space. - Source: dev.to / about 1 year ago

• Towards Sub-100ms Latency Stream Processing with an S3-Based Architecture

  RisingWave is a high-performance streaming database built in Rust. It’s PostgreSQL-compatible and lets users write sophisticated stream processing logic using standard SQL - no need to learn a new DSL or framework. - Source: dev.to / about 1 year ago

• Unlock the Power of Real‑Time HubSpot CRM Automation

  We're excited to announce that now you can: by integrating HubSpot webhooks directly with RisingWave. This powerful connection allows you to stream your CRM, marketing, and sales data from HubSpot into our unified data platform for true real-time processing, analysis, and automation. - Source: dev.to / about 1 year ago

• Introducing RisingWave's Hosted Iceberg Catalog-No External Setup Needed

  At RisingWave, our goal is to simplify the process of building real-time data applications. A key part of this is enabling users to build modern, open data architectures. That’s why we developed the Iceberg Table Engine (see the Iceberg table engine docs), which allows you to stream data directly into tables using the open Apache Iceberg format. This is a powerful way to build a streaming lakehouse where your data... - Source: dev.to / about 1 year ago

Databricks mentions (18)

• Platform Engineering Abstraction: How to Scale IaC for Enterprise

  Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago

• dolly-v2-12b

  Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: over 3 years ago

• Clickstream data analysis with Databricks and Redpanda

  Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / about 4 years ago

• DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It

  Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago

• A Quick Start to Databricks on AWS

  Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / over 4 years ago