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What is SepacoreRecord?

Using an open glass column for the purification of substances can present obstacles like poor resolution and longer processing times. To improve your initial journey into controlled separation, we introduce the compact Sepacore® Easy Purification Systems, which enable you to carefully regulate both the flow rate and the makeup of your eluent. Implementing gradient elution can greatly enhance the effectiveness of your separations. The Sepacore® Easy Purification Systems not only promote accurate monitoring of eluent composition but also guarantee higher purity levels in the collected fractions. You can adjust your flow rate and solvent combination to reduce elution times effectively. Additionally, with smaller fraction sizes, evaporation processes occur more swiftly, leading to significant time savings. This system is created to be efficient in terms of resources, lessening solvent consumption while being an economical first investment, with further upgrade possibilities to meet various application requirements. Consequently, this system proves to be an essential tool for anyone looking to improve their purification techniques, thus elevating their overall laboratory efficiency.

What is IBM Analytics Engine?

IBM Analytics Engine presents an innovative structure for Hadoop clusters by distinctively separating the compute and storage functionalities. Instead of depending on a static cluster where nodes perform both roles, this engine allows users to tap into an object storage layer, like IBM Cloud Object Storage, while also enabling the on-demand creation of computing clusters. This separation significantly improves the flexibility, scalability, and maintenance of platforms designed for big data analytics. Built upon a framework that adheres to ODPi standards and featuring advanced data science tools, it effortlessly integrates with the broader Apache Hadoop and Apache Spark ecosystems. Users can customize clusters to meet their specific application requirements, choosing the appropriate software package, its version, and the size of the cluster. They also have the flexibility to use the clusters for the duration necessary and can shut them down right after completing their tasks. Furthermore, users can enhance these clusters with third-party analytics libraries and packages, and utilize IBM Cloud services, including machine learning capabilities, to optimize their workload deployment. This method not only fosters a more agile approach to data processing but also ensures that resources are allocated efficiently, allowing for rapid adjustments in response to changing analytical needs.

Media

Media

Integrations Supported

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
RadiantOne
Switch Automation

Integrations Supported

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
RadiantOne
Switch Automation

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.014 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Buchi

Company Location

Switzerland

Company Website

www.buchi.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/analytics-engine

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Data Discovery

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

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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