1
Open source
Apache Spark is a unified engine for large-scale data processing and analytics.
Alternatives
The Best Hadoop Alternatives in 2026
5 alternatives0 free · 4 open source
Looking for something like Hadoop? Here are 5 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 4 are open source.
Framework that allows for the distributed processing of large data sets across clusters.
Top picks at a glance
First suggestionSparkApache Spark is a unified engine for large-scale data…Another optionqcri/LLMeBenchLLMeBench provides a flexible framework for benchmarking…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Spark | — | Yes | — |
| 2 | qcri/LLMeBench | — | Not stated | — |
| 3 | Adala | — | Yes | — |
| 4 | pytorch tabular | — | Yes | — |
| 5 | Turbostream | — | Yes | — |
All Hadoop alternatives
2
qcri/LLMeBench
github.com/qcri/LLMeBenchLLMeBench provides a flexible framework for benchmarking large language models.
3
Open source
Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.
4
Open source
pytorch tabular provides a unified framework for deep learning models on tabular data.
5
Open source
Turbostream analyzes real time streaming data with large language models.
No alternatives match this filter.
Alternatives to similar tools
qcri/LLMeBench24 alternativespytorch tabular24 alternativesSpark24 alternativesAdala24 alternativesTurbostream24 alternatives
What is the best alternative to Hadoop?
Based on features, tags and platforms, the closest alternatives to Hadoop are Spark, qcri/LLMeBench, and Adala.
Are there open-source alternatives to Hadoop?
Yes: Spark, Adala, pytorch tabular, and Turbostream.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative