Best data processing environments tools in 2025

SvectorDB

Serverless vector database optimized for AWS environments.

JSON Scout

Transform messy data into structured JSON effortlessly.

Apache Hadoop

Framework for processing large datasets across multiple computers.

extracto.bot

Effortlessly gather web data straight into Google Sheets.

Regex

AI-powered regex generator for easy pattern matching.

Hadoop

Framework for processing large data sets across multiple systems.

Qubole

Cost-effective data lake solution for efficient analytics.

Folderr

Smart data processing and automation for various file types.

Subscription + from $7.99/m
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BigDL

Run deep learning models efficiently on large datasets.

Apache Samza

Real-time data processing framework for stateful applications.

Heron

Efficient stream processing for real-time data insights.

Pachyderm

Automated solution for managing and tracking data workflows.

Amazon Kinesis

Real-time data processing for immediate insights and actions.

Lettria

Data management solution for accurate document processing and retrieval.

Apache Mahout

Framework for scalable machine learning and data processing.

Microsoft Azure Stream Analytics

Analyze and process real-time data streams efficiently.

Videohighlight

Summarizes video content with timestamps and key points.

Eventual AI

Framework for creating resilient, scalable event-driven systems.

Roe AI

Automates complex workflows for unstructured data analysis.

ormGPT

Translate plain language into SQL queries effortlessly.

Groupt

Streamlined data categorization and visualization for insightful analysis.

Kaskada

Real-time data integration for AI model optimization.

Unearth.ai

Centralized platform for data integration and AI-driven insights.

ELK Stack

Powerful suite for data collection, search, and visualization.

Ragie

Managed service for seamless data integration and retrieval.