RisingWave VS Waydev
Compare RisingWave VS Waydev and see what are their differences
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RisingWave
Apache Flink
Materialize
Apache Kafka
Google BigQuery
Timeplus
ClickHouse
Apache Spark
Waydev
LinearB
GitPrime
Swarmia
Haystack Analytics
CodeClimate
OKAY HQ
Hatica
Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.
RisingWave WaydevNo features have been listed yet.
Based on our record, RisingWave should be more popular than Waydev. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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, weโll build dashboards to monitor player performance and power leaderboards. Finally, Iโll 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 / 11 months ago
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
RisingWave is a high-performance streaming database built in Rust. Itโs 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
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
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. Thatโs 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
For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on the fence looking for resources and tools that will help to slowly execute and implement these changes. With regards to resources, I am currently looking at the scrum guide and with... Source: about 4 years ago
When youโre ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / almost 5 years ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
Materialize - A Streaming Database for Real-Time Applications
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.