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Alternatives

Products that do what Siege - Real time data pipeline with a single command does

Hi HN, we are so excited to be sharing this on here! Siege is the fastest and the simplest way to spin up a real-time data pipeline, which you can then query, filter, visualize with just clicks of some buttons, no need for any instrumentation or code changes. It works by capturing JSON data from your API transactions, transforming this data, and then storing it in an optimized columnar database for easy and fast querying. I've put together a 3-minute demo on Loom just now, showing you how I made real time dashboards in minutes:…

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    Streams106

    Real-time blockchain data streaming made simple

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    Connect your data, where you want it, in milliseconds

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    No-code, Real-time data pipeline for reporting and analytics

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    Chartbrew159

    One dashboard to view, create and share your data

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    Bracket135

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    Tinybird176

    Turn raw data into realtime API at scale

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    Build real-time apps without maintaining the infrastructure

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  8. 8BA

    Hi fellow HNers, We just opened up Bitdeli for free public beta at https://bitdeli.com Bitdeli allows you to process real-time data with plain Python scripts and access the results over a friendly HTTP API. You can use it to create live visualizations and dashboards without having to worry about servers. See examples here: http://bl.ocks.org/2009621 and http://bl.ocks.org/1983818 We would love to hear your feedback and comments!

    2012

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    Turn your data into insights with a single click 🤯

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    Evidence192

    Interactive dashboards with extraordinary performance

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    Extract, transform & stream Blockchain data

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    JSON, Excel to GraphQL in seconds - Blazing Fast Data Store

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    Pulse90

    Lightweight real-time polls - open source & self-hosted

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    Build production grade web applications in minutes

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    Real time for your analytics events

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    Vector searches & 100X faster JSON analytics

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  19. 19AA

    Atlas is an open-source deployment pipeline platform built for cloud-native applications. Atlas allows users to: - Create continuous pipelines across all their environments and clusters - Add custom tasks/tests plugins (Python scripts, K8S manifests, Argo Workflows, environment setup, etc.) - Automatically rollback applications in case of failure or degradation (Atlas watches the application past the scope of a pipeline run to ensure and enforce stability) - Use all existing Argo features Would love to hear all of your feedback and thoughts on this!

    2022 · greenops.io

  20. 20

    Realtime analytics database

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  21. 21AI

    Hi HN, I’m Sean, the founder of Ascend.io (https://www.ascend.io). I’m really excited to post here and announce the launch of Ascend.io, a radical new way of designing, scaling, and automating data pipelines. Ascend is the result of nearly 4 years of development effort for a team that is now 30-strong, and I would love for you to give it a test drive and let me what you think. I’ve felt this pain since I wrote my first MapReduce in 2004 (using Sawzall @ Google), and in the 15 years since, things have not improved at the pace of other parts of the technology ecosystem. When I went…

    2019

  22. 22AI

    Hi HN, We are launching Denormalized (www.denormalized.io), a serverless real-time data platform built on Kafka and Pinot. We felt a bit burnt out by the sheer developer toil we faced when building application around the real-time data stack and set out to create a platform to allow small teams to be very productive with realtime data without having to glue together an elaborate system to serve real-time as well as time series queries. Here is our motivating post. Would appreciate any and all feedback.

    2023 · teamdenormalized.substack.com

  23. 23BL

    Hello everyone! I am Jan, CTO and one of the creators of Pathway, the real-time data processing framework. I’m excited to share Pathway’s ready-to-use AI Pipelines, configurable with just YAML! These frameworks offer out-of-the-box solutions for AI search, RAG, and more—optimized for real-time indexing and in-memory processing. What makes it simple? YAML templates! The pipeline templates are fully customizable using YAMLs to fit your needs, from changing the data sources to the choice of the LLM model, all without touching Pathway’s Python code. Thanks to the Pathway data processing engine,…

    2024 · pathway.com

  24. 24EY

    Hey HN, We're thrilled to introduce you to Edginary, our new groundbreaking startup set to change how developers access and scale their data globally. We've all felt the pain points of dealing with centralized data sources: performance bottlenecks, reliability issues, and the dreaded revenue loss due to downtime. Edginary is here to tackle these issues head-on. Edginary is a serverless platform that moves your data close to your users in real-time so they can access it in ultra low-latency. By reducing the load on your servers and databases, we aim to not only improve performance and…

    2024 · edginary.io

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