Best data analysis and visualization tools in 2025

Coginiti

AI-driven assistant for writing and optimizing SQL queries.

Camocopy

Privacy-focused AI for content creation and image analysis.

Definite

Data analytics made accessible for teams of all sizes.

Cleora.ai

Open-source framework for learning from diverse relational data.

SAP HANA Cloud

Integrated database management for real-time data applications.

SvectorDB

Serverless vector database optimized for AWS environments.

Kili Technology

Reliable data preparation for AI projects.

MongoDB Atlas

Cloud-based database designed for easy deployment and management.

Amazon Redshift

Cloud data warehouse for efficient data storage and analysis.

Diffgram

Manage and organize AI data seamlessly for better insights.

Apache Hadoop

Framework for processing large datasets across multiple computers.

xyzt.ai

Insight platform for visualizing and analyzing IoT data.

InfluxData

High-performance database for real-time data insights.

DolphinDB

High-speed time series database for real-time analytics.

Neo4j

Graph database that reveals connections within data.

GeoMesa

Efficiently manage and analyze large geospatial datasets.

Roboto AI

Data analysis for robotics, transforming logs into insights.

BigDL

Run deep learning models efficiently on large datasets.

Hadoop

Framework for processing large data sets across multiple systems.

Datasaur

Data labeling and private LLM development made efficient.

Spark SQL

Run SQL queries on big data with ease and efficiency.

Neum AI

Framework for efficient and scalable data pipelines.

LakeSail

Open-source big data processing framework for seamless analytics.

Apache Drill

Run SQL queries on diverse data without preparation.

Apache Spark ML

Scalable library for efficient machine learning and data processing.