LinearB
Waydev
Swarmia
CodeClimate
GitPrime
Haystack Analytics
Codacy
SonarQube
Apache Storm
Apache Spark
Apache Flink
Qubole
Hadoop
Google BigQuery
Apache Kafka
Amazon Kinesis
LinearB Apache StormLinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.
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Based on our record, LinearB should be more popular than Apache Storm. It has been mentiond 28 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.
LinearB is an engineering productivity platform that provides visibility into developer workflows, automation, and process metrics. It collects data across the entire development lifecycle to diagnose blockers and optimize delivery. One user reports saving 321 developer-hours per month. - Source: dev.to / 3 months ago
Most tools measure half the picture. Traditional metrics platforms like LinearB focus on quantitative signals (DORA metrics, cycle time). Survey platforms like Culture Amp capture sentiment across organizations but aren't developer-specific. DX (founded by DORA/SPACE research creators) combines developer surveys with SDLC analytics. These approaches require deliberate implementation and buy-in. - Source: dev.to / 8 months ago
LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 2 years ago
In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / about 3 years ago
LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: about 3 years ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 3 years ago
Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 3 years ago
Storm, a system for real-time and stream processing. - Source: dev.to / almost 4 years ago
Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: almost 4 years ago
Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 4 years ago
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
