Fosfor Spectra

RATING:

4.0

(1)
Overview

About Fosfor Spectra

Fosfor Spectra is a data engineering platform which harnesses valuable data to generate actionable insights. Spectra can perform data integration, transformation and data orchestration 3x faster at one-third of the cost. The platform comes pre-built with a variety of connectors for enhanced data coverage and with choice of processing engines to achieve best-in-class performance on your data. The product offers incredible value for technical as well as non-technical users with its intuitive and no code/low code user interface. Hence, Spectra is the best platform for all your data pipeline needs.

Fosfor Spectra Pricing

Please write at info@fosfor.com for pricing details

Free trial: 

Available

Free version: 

Not Available

Integrated findability with pre-built catalog to easily get the right data
Slide 1 of 6

Fosfor Spectra Reviews

Overall Rating

4.0

Ratings Breakdown

Secondary Ratings

Ease-of-use

5

Customer Support

4

Value for money

4

Functionality

4

Most Helpful Reviews for Fosfor Spectra

1 Review

Ruvesh

Information Technology and Services, 5,001-10,000 employees

Used daily for less than 12 months

Review Source: Capterra
This review was submitted organically. No incentive was offered

OVERALL RATING:

4

EASE OF USE

5

VALUE FOR MONEY

4

CUSTOMER SUPPORT

4

FUNCTIONALITY

4

Reviewed November 2020

Performance & Stability

It allows for faster and easier adoption and developing any solution. Easy to navigate and self learn platform, which makes any developer independent. High performance flexible & stabled platform.

PROS

Performance of data processing is fast as compared to other data ingestion & integration platforms. Stability and user intuitiveness helps the user develop and create. their data pipelines much faster. This increases the adoption of platform by any type of user The ease of moving the data pipelines to Spark based distribution engines or snowflake or bigquery is very flexible and requires no technical expertise and changes to move across runtime engines.

CONS

Stability of certain services can be improved more. Since platform is microservices based it can have more integrated features related to AI driven functionalities like - predicting resource consumption, processing time of pipelines, detection of any network anomalies and responding to user. accordingly. this will increase more stability.