Audience

Enterprise data teams requiring an hyper-converged data platform to optimize the complete life-cycle of building data apps

About Isima

bi(OS)® delivers unparalleled speed to insight for data app builders in a unified manner. With bi(OS)®, the complete life-cycle of building data apps takes hours to days. This includes adding varied data sources, deriving real-time insights, and deploying to production. Join enterprise data teams across industries and become the data superhero your business deserves. The trifecta of Open Source, Cloud, and SaaS has failed to deliver the promised data-driven impact. All of the enterprises' investments have been in data movement and integration, which isn't sustainable. There is a dire need for a new approach to data, built with enterprise empathy in mind. bi(OS)® is built by reimagining first principles in enterprise data management, from ingest to insight. It serves API, AI, and BI builders in a unified manner, to achieve data-driven impact in days. Engineers build enduring moat as a symphony emerges between IT teams, tools, and processes.

Integrations

API:
Yes, Isima offers API access
No integrations listed.

Ratings/Reviews

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features 0.0 / 5
design 0.0 / 5
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Company Information

Isima
Founded: 2016
United States
www.isima.io/product/

Videos and Screen Captures

Isima Screenshot 1
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Product Details

Platforms Supported
Cloud
Android
Training
In Person
Support
Phone Support
Online

Isima Frequently Asked Questions

Q: What kinds of users and organization types does Isima work with?
Q: What languages does Isima support in their product?
Q: What kind of support options does Isima offer?
Q: Does Isima have an API?
Q: Does Isima have a mobile app?
Q: What type of training does Isima provide?

Isima Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Data Warehouse

In-Memory Processing
Match & Merge
ETL - Extract / Transfer / Load
Data Migration
Ad hoc Query
Data Quality Control
Analytics
Data Integration