Best data processing techniques tools in 2025

Hadoop

Framework for processing large data sets across multiple systems.

Qubole

Cost-effective data lake solution for efficient analytics.

VerbaGPT

Natural language queries for data analysis and visualization.

Apache Samza

Real-time data processing framework for stateful applications.

Pretrained AI

Access various pretrained models for fast data analysis.

Groupt

Streamlined data categorization and visualization for insightful analysis.

Nanonets

AI-driven data extraction and workflow automation solution.

Shell2

An interactive data management and analysis environment.

Superjoin.ai

Connects multiple data sources to spreadsheets effortlessly.

Luminal

Smart assistant for effortless spreadsheet management using AI.

Kaskada

Real-time data integration for AI model optimization.

Apache SINGA

Deep learning framework for efficient model training and integration.

FastChat

Platform for building and managing advanced chatbots.

FinetuneDB

Quickly build and refine AI models with custom datasets.

Watson Machine Learning

Collaborative environment for building and optimizing AI models.

NVIDIA Deep Learning SDK

Powerful software stack for developing advanced AI applications.

Kortical

Streamlined machine learning model development and deployment.

Monsterapi

A user-friendly interface for managing and deploying AI models.

SSD

Framework for efficient deep learning model development.

Appen

Data solutions that enhance advanced AI model performance.

GraphLab Create

Custom machine learning model creator for developers.

Qualcomm AI Hub

Deploy AI models efficiently on various devices.

Gentrace

Automated evaluations for generative AI models.

Humanloop

Collaborative environment for evaluating large language models.

liteLLM

Access over 100 language models with ease and reliability.