
Amazon Kinesis
PieSync
Azure Databricks
Spark Streaming
Apache Kudu
MyAnalytics
Apache Flink
Confluent offers a real-time data platform built around Apache Kafka.

Apify
API Direct
TweetAPI
twitterapi.io
Crawlfeed.dev
SocialData Tools
GetXAPI
Social media scraping API for public profiles, posts, comments, videos, transcripts, and metrics from TikTok, Instagram, YouTube, X, LinkedIn, and more. Pay-as-you-go credits, 100 free to start.
Which is more popular?
Based on our record, Confluent seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | confluent.io | socialfetch.dev |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from the United Kingdom · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Confluent yet.
Social Fetch is the social media data API for teams that need to ship features, not maintain scrapers. Every major platform changes its DOM, blocks proxies, and breaks homegrown integrations. Social Fetch handles that infrastructure — headless browsers, rate limits, normalization — so you get...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Confluent yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
1. Intro | Monitoring Kafka in Confluent Control Center
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Confluent and SocialFetch.dev.
SocialFetch.dev's answer:
Social Fetch provides a unified REST API that lets developers collect public data from 20+ social platforms — TikTok, Instagram, YouTube, X, LinkedIn, Reddit, Facebook, Threads, and more — using a single consistent JSON schema. There is no need to learn or maintain separate APIs for each network. Credits never expire, and you only pay for what you use, making it ideal for both prototyping and production-scale data pipelines.
SocialFetch.dev's answer:
Unlike solutions that require you to set up and maintain separate API integrations for each platform, Social Fetch gives you one API key and one consistent schema across all supported networks. You get the same response structure whether you are fetching TikTok videos, Instagram posts, or YouTube channels. The pay-as-you-go model means no wasted monthly spend on idle subscriptions, and credits never expire so there is no pressure to use them up.
SocialFetch.dev's answer:
Social Fetch is primarily used by developers, data engineers, and growth marketers who need programmatic access to social media data without building and maintaining individual platform integrations. Common use cases include social analytics tools, influencer research platforms, content aggregation pipelines, brand monitoring dashboards, and AI training datasets that require large-scale social content.
SocialFetch.dev's answer:
Social Fetch was founded by Luke Askew, a developer who repeatedly ran into the same problem while building social analytics tools: every platform had a different API, different authentication flows, different rate limits, and different response shapes. Building and maintaining integrations for even a handful of platforms was a significant ongoing burden. Social Fetch was created to solve this by acting as a single abstraction layer, so developers can focus on what they are building rather than on the plumbing beneath it.
SocialFetch.dev's answer:
Social Fetch is built on Next.js and TypeScript, deployed on Vercel. The API layer is serverless and runs on edge infrastructure for low latency globally. Data is processed and stored using cloud-native services, and the platform uses tRPC for type-safe internal APIs. The codebase is a TypeScript monorepo, enabling shared types between the API, frontend, and internal tooling.
SocialFetch.dev's answer:
Social Fetch is currently used by early-stage startups, independent developers, and small analytics teams. As a newer product launched in 2024, we are still growing our customer base. If you are interested in using Social Fetch or would like to be featured here, please reach out at hello@socialfetch.dev.
Share your experience with using Confluent and SocialFetch.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Data-platform backbone, EOS pipelines, ecosystem gravity: Apache Kafka — 4.5/5. 4× JetStream's throughput ceiling, the only native exactly-once story, and Connect/ksqlDB/Flink integration nobody matches. Pay the partition tax... - Source: dev.to / 9 days ago
We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to... Source: over 4 years ago
Tracking SocialFetch.dev since Jun 2026.
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