Composable DataOps Platform

Composable DataOps Platform

Composable Analytics
TC Analytics

TC Analytics

TC Group Solutions
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About

Composable is an enterprise-grade DataOps platform built for business users that want to architect data intelligence solutions and deliver operational data-driven products leveraging disparate data sources, live feeds, and event data regardless of the format or structure of the data. With a modern, intuitive dataflow visual designer, built-in services to facilitate data engineering, and a composable architecture that enables abstraction and integration of any software or analytical approach, Composable is the leading integrated development environment to discover, manage, transform and analyze enterprise data.

About

TC Analytics is a tool for Retail professionals that allows them to display the data collected by our people counting sensor regarding consumer behaviour at the point of sale in real time. Thanks to the monitoring of key management KPIs, you will be able to make decisions that will optimise your resources and maximise the return on your business. TC Analytics is equipped with the best technology on the market. VECTOR 4D sensors guarantee 99.5% reliability in people counting and offer a guarantee of success backed by 15 years of experience as well as the high satisfaction of our clients in more than 7,000 points of sale. Allows customer segmentation according to gender and age group. Identify the areas that attract the most attention by analysing customer behaviour at the point of sale.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data professionals needing to architect and build data-intensive applications

Audience

Data Analysis solution for companies

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$8/hr - pay-as-you-go
Free Version
Free Trial

Pricing

$65 per month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.8 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • I’ve been working with Composable Analytics for the past year. As a Senior Systems Analyst/Developer with 25 years experience in the Life Insurance Industry, I can 100% say it’s the best ETL (Extract-Transform-Load) tool that I’ve ever worked with and it has brilliant WEB based applications to host complex Life Insurance Admin applications. Here are my thoughts and observations: • Excellent Data Transformation Application using: o App Management Portal o App Monitoring Portal o Dataflow Manager • Excellent Rules and App Definition facility using the App Management Portal o Allows for Easy Rules Updates o Allows for Easy App Definition Updates o Controls Document Creation, Trigger, Sign and Merge o Very Intuitive • Monitoring Portal brings data to life with excellent features such as: o Application Info o Document Types (Variable and Triggers) o Generated Documents o Evidence Gathering o Workflow History o Evidence Reporting o Decision Scorecard • Dataflow Manager o Allows you to create dataflows that run in real-time with amazing debugging capabilities o Past Runs logging feature allows you to debug any application any time o Native Modules are comprehensive and easy to use o Allows for individual styles o PDF Stamper/Merger is amazing o Works very well with JSON, CSV, SQL, C# etc o Endless Possibilities • Composable Staff o Knowledge Transfer has been superb o Very Friendly and Knowledgeable o Always willing to listen to suggestions and build new functionality:  New Native Module to Extract Metadata from PDF file  New Native Module to override PDF Form Fields attributes during Stamping  Adding a Multi-Conditional Native Module • Integration o Easily integrates with other Systems using WEB calls o Passes data in easy to use formats such as JSON, XML o Works with Internal and External Vendors
  • Composable easily integrated with the broad set of technologies and data sources I work with. The platform greatly enhanced my capabilities around automating data pipelines, web application development, and many other tasks. The Composable team is approachable, provides expert support, and can adapt their platform to meet specific needs of their customers. The development interface is easy to learn and use.
  • Composable is a versatile platform for data analysts that provides many functions ranging from integration with hundreds of data sources to creation of visual data orchestration (data flow) pipelines with built in analytics and visualization capabilities. Composable has a user-friendly interface that acts as a collaborative platform that enables data analysts, scientists and engineers to work more efficiently and effectively.
  • Robust platform with many features and capabilities for building out end-to-end systems. Composable is truly an "integrated development environment" for data engineers and software developers. You can build the solution which can interact with old legacy application like Mainframe DB2 or with modern technologies like Salesforce, AWS very easily. Its most powerful platform where you can support the customer needs with variety of solutions.

Cons

  • While I love everything Composable has to offer, from a developer perspective I would love to use a Multi-Conditional Branch/If-Else module to improve development time for Dataflows.
  • There are no obvious downsides to note. I continue to be impressed with the steady expansion of documentation and function of the platform.
  • Composable is extremely straightforward to learn and use. Truthfully, no cons to report - it's an amazing tool for a technical data analyst.
  • We faced challenge with documentation as we started using Composable, though it looks like Composable support team has now built up extensive help documentation for beginners. However the support team is very knowledgeable and is always available to help so you never get stuck with problem due to no help documentation. Also, Composable platform creates its own documentation as you keep building different solutions. As an example when you are trying to use some new function or module within your solution then platform provides sample code that has ben using same function/module, if that module is used in some other solution.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Composable Analytics
United States
composable.ai

Company Information

TC Group Solutions
Founded: 2007
France
www.tcgroupsolutions.com

Alternatives

Alternatives

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Palantir Gotham

Palantir Gotham

Palantir Technologies

Categories

Categories

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Marketing Analytics Features

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Artificial Intelligence Features

Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Cleansing Features

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Discovery Features

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Science Features

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Master Data Management Features

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Marketing Analytics Features

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Qualitative Data Analysis Features

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Integrations

Adobe Marketo Engage
Amazon Redshift
Amazon Web Services (AWS)
Anaplan
Azure Data Lake Storage
Azure Marketplace
Domo
Hadoop
IBM Db2
Microsoft Azure
PostgreSQL
SQL Server
Salesforce
Snowflake
Tableau

Integrations

Adobe Marketo Engage
Amazon Redshift
Amazon Web Services (AWS)
Anaplan
Azure Data Lake Storage
Azure Marketplace
Domo
Hadoop
IBM Db2
Microsoft Azure
PostgreSQL
SQL Server
Salesforce
Snowflake
Tableau
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