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Ratings and Reviews 4 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Maxeler Technologies?

Maxeler provides state-of-the-art dataflow solutions that integrate effortlessly into operational data centers, enabling easy programming and oversight. These high-performance systems are designed specifically for production server environments, ensuring they work harmoniously with popular operating systems and management tools. Our powerful management software efficiently handles resource distribution, scheduling, and data transfer within the dataflow computing architecture. Moreover, Maxeler dataflow nodes are compatible with standard Linux distributions, such as Red Hat Enterprise versions 4 and 5, without requiring any modifications. Any application intended for acceleration can operate on a Maxeler node as a typical Linux executable, simplifying the transition for developers. By incorporating the dataflow library into their existing code, developers can create new applications using straightforward function interfaces to harness its features. The MaxCompiler tool offers extensive debugging assistance during the development phase, including a high-speed simulator that enables code validation before deployment. This proactive approach ensures that developers can enhance their applications while reducing the chances of errors significantly. Furthermore, Maxeler’s dedication to continuous improvement ensures that users benefit from the most recent innovations in dataflow technology, keeping them at the forefront of the industry. Ultimately, this commitment to progress positions Maxeler as a leader in the realm of dataflow solutions, driving efficiency and performance for all users.

What is Composable DataOps Platform?

Composable serves as a robust DataOps platform tailored for enterprises, empowering business users to develop data-centric products and formulate data intelligence solutions. This platform enables the creation of data-driven offerings that utilize a variety of data sources, including live streams and event data, irrespective of their format or structure. With its intuitive and user-friendly visual editor for dataflows, Composable also features built-in services to streamline data engineering tasks, in addition to a composable architecture that promotes both abstraction and integration of diverse analytical or software methodologies. As a result, it stands out as the premier integrated development environment for the exploration, management, transformation, and analysis of enterprise-level data. Moreover, its versatility ensures that teams can adapt quickly to changing data needs and leverage insights effectively.

Media

Media

Integrations Supported

Red Hat Enterprise Linux

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$8/hr - pay-as-you-go

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Maxeler Technologies

Date Founded

2003

Company Location

United Kingdom

Company Website

www.maxeler.com/products/software/

Company Facts

Organization Name

Composable Analytics

Company Location

United States

Company Website

composable.ai

Categories and Features

DevOps

Not specified

Categories and Features

Artificial Intelligence

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

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Analysis

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

Data Catalog

Not specified

Data Cleansing

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

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

Data Engineering

Not specified

Data Intelligence

Not specified

Data Science

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

DataOps

Not specified

ETL

Not specified

Machine Learning

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

Marketing Analytics

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

Master Data Management

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

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