Best data processing technologies tools in 2025

Apache Hadoop

Framework for processing large datasets across multiple computers.

DataMation

Centralized source for technology news and insights.

BigDL

Run deep learning models efficiently on large datasets.

Hadoop

Framework for processing large data sets across multiple systems.

Apache Samza

Real-time data processing framework for stateful applications.

Pachyderm

Automated solution for managing and tracking data workflows.

SvectorDB

Serverless vector database optimized for AWS environments.

Datachain

Efficient data management and enrichment for organizations.

Amazon Aurora

Managed database solution with high performance and scalability.

Qdrant

A vector database for fast and efficient similarity search.

Apache Mahout

Framework for scalable machine learning and data processing.

Substrate

Build and execute complex AI workflows efficiently.

Centauri AI

AI-driven data processing for finance professionals.

Amazon Kinesis

Real-time data processing for immediate insights and actions.

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.

Isomeric

Transforms messy text into structured, machine-readable data.

Veritone Developer AI

Data management and analysis for informed decision-making.

InfluxData

High-performance database for real-time data insights.

Parabola

Streamlined data organization and automation for teams.

Metaflow

Build and manage machine learning projects effortlessly.

Folderr

Smart data processing and automation for various file types.

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Kaskada

Real-time data integration for AI model optimization.

Qubole

Cost-effective data lake solution for efficient analytics.