Spark Streaming

Spark Streaming

Apache Software Foundation
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About

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.

About

SparkBuilt helps founders escape blank canvas paralysis. It automates the first two weeks of dev so you can turn ideas into deployable web apps in few minutes. It generates full stack code (React, Vite, Tailwind, Convex, Clerk), AI pitch slides, market analysis, and a ready tech stack you can export to GitHub. Perfect for workers validating ideas, founders pitching fast, hackathon teams, and students. Stop stitching together fragmented tools. Most founders burn runway paying for separate UI builders, deck generators, and research tools before they even launch. SparkBuilt is the first Unified Venture Engine that builds your Product (Full-Stack MVP), Narrative (Investor Deck), and Strategy (Market Research) simultaneously from a single shared context. True Ownership, No Lock-In. We don't hold your code hostage. Unlike "walled garden" builders, SparkBuilt lets you Export to GitHub or Deploy to your own Vercel account instantly. You own the code, the keys, and the IP from Day 1.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Real-Time Data Streaming solution for businesses

Audience

Early-stage founders, students, anyone

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$49
Launch promo (standard price - $199)
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Apache Software Foundation
Founded: 1999
United States
spark.apache.org/streaming/

Company Information

SparkBuilt
Founded: 2025
United States
sparkbuilt.dev

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Categories

Categories

AI App Generators Supported

Integrations

Apache Spark Supported
Convex Not Supported
PubSub+ Platform Supported

Integrations

Apache Spark Not Supported
Convex Supported
PubSub+ Platform Not Supported
Claim Spark Streaming and update features and information
Claim Spark Streaming and update features and information
Claim SparkBuilt and update features and information
Claim SparkBuilt and update features and information