ADAM analyzes genomics data with specialized file formats built on Apache Spark, Avro, and Parquet.
The Best Spark Alternatives in 2026
Looking for something like Spark? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 18 are open source.
Apache Spark is a unified engine for large-scale data processing and analytics.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | adam | — | Yes | — |
| 2 | Apache Zeppelin | — | Not stated | Web |
| 3 | Hex Magic | — | Not stated | Web |
| 4 | Hex | — | Not stated | Web |
| 5 | pytorch tabular | — | Yes | — |
| 6 | NALP | — | Yes | — |
| 7 | GPyTorch | — | Yes | — |
| 8 | FastDatasets | — | Yes | — |
| 9 | zou-group/textgrad | — | Yes | — |
| 10 | Zerve | — | Not stated | Web |
All Spark alternatives
Apache Zeppelin
zeppelin.apache.orgEnables data-driven, interactive data analytics and collaborative documents.
Hex Magic
hex.tech/capability/aiHex is an AI analytics platform for exploring and analyzing data through conversation grounded in governed context.
Hex
hex.techHex combines data notebooks, applications, and AI tools so teams can ask questions and build with organizational data.
pytorch tabular provides a unified framework for deep learning models on tabular data.
NALP covers Natural Adversarial Language Processing through a dedicated library.
GPyTorch provides an efficient implementation of Gaussian processes using PyTorch.
FastDatasets helps create training datasets for large language models.
Automatic "Differentiation" via Text, using large language models to backpropagate textual gradients.
Zerve
zerve.aiZerve supports research and analytics workflows, with AI agents for data discovery, analysis, reports and production deployment.
TextQL
textql.comTextQL organizes business logic into a data ontology for answering questions across company analytics.
Disco’s discovery engine finds statistically validated patterns in tabular data, including feature interactions and subgroup effects.
Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.
PyTorch Frame provides a library for applying deep learning models to tabular data.
tsfresh automatically extracts relevant features from time series data.
Snorkel helps generate training data programmatically through weak supervision.
Modin scales Pandas data workflows by changing a single line of code in a project.
DB-GPT is an open-source agentic data assistant for AI and data products.
This TabGAN repository reviews research on applying GANs to generate tabular data.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Dot
getdot.aiTeams can use Dot as an AI data analyst to ask questions, generate SQL and charts, and produce reports through Slack or Teams.
Giskard provides open source evaluation and testing tools for LLM agents.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
neuropredict evaluates predictive performance using neuroimaging features.
Alternatives to similar tools
What is the best alternative to Spark?
Are there open-source alternatives to Spark?
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






















