Infstream

Infstream

Infstream is a data analytics platform that helps businesses gain insights from their data. It provides capabilities for data ingestion, processing, analytics, and visualization.
data-analytics data-processing data-visualization

Infstream: Data Analytics Platform

Discover a powerful data analytics platform that streamlines data ingestion, processing, analytics, and visualization for businesses to gain valuable insights.

What is Infstream?

Infstream is a comprehensive data analytics platform designed to help businesses make better decisions through data. It enables users to ingest data from a variety of sources, process and transform the data, build analytics models, and create dashboards and visualizations.

Some key capabilities include:

  • Flexible data ingestion from databases, cloud apps, APIs, files, and more
  • Real-time and batch data processing with support for SQL, Python, and other languages
  • Interactive analytics workspace for ad-hoc analysis
  • Library of pre-built analytics algorithms and machine learning models
  • Customizable dashboards and reports with drag-and-drop features
  • Sharing analytics through apps and integrations with other tools

Infstream can handle structured, semi-structured, and unstructured data across the data lifecyle. The platform is cloud-native and designed to scale to large data volumes. It provides governance capabilities like access controls, encryption, and auditing.

Infstream positions itself as an end-to-end platform empowering users of any technical capability to work with data. Its low-code environment allows non-technical users to prepare, analyze, and share data insights.

Infstream Features

Features

  1. Real-time data streaming and processing
  2. Data ingestion from various sources
  3. Machine learning and predictive analytics
  4. Data visualization and dashboards
  5. Collaboration tools

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Scalable and high-performance

Intuitive drag-and-drop interface

Pre-built connectors for data sources

Cloud-native and serverless architecture

Strong security and governance

Cons

Steep learning curve

Can be expensive for large scale deployments

Limited customization compared to open source options

Official Links


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