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What is Sesame Software?

With the combination of specialized enterprise partnership expertise and a user-friendly, scalable data management suite, you can regain command over your data, access it globally, maintain security and compliance, and harness its potential for business growth. Why Choose Sesame Software? Relational Junction facilitates the automatic building, population, and incremental refreshing of your data. Improve Data Quality - Transform data from diverse sources into a uniform format, resulting in enhanced accuracy that underpins sound decision-making. Extract Insights - By automating the aggregation of information into a centralized location, you can leverage your internal BI tools to create valuable reports, helping you sidestep expensive errors. Consistent Pricing - Eliminate unpredictable costs with fixed yearly pricing and long-term discounts, regardless of your data volume. With these advantages, your organization can unlock new opportunities and streamline operations.

What is IBM DataStage?

Accelerate the development of AI innovations with the cloud-native data integration solutions provided by IBM Cloud Pak for Data. With AI-enhanced data integration functionalities available from any location, the impact of your AI and analytics initiatives is closely tied to the caliber of the underlying data. Leveraging a contemporary container-based framework, IBM® DataStage® within IBM Cloud Pak® for Data guarantees the provision of high-quality data. This offering combines exceptional data integration with DataOps, governance, and analytics into a cohesive data and AI ecosystem. By streamlining administrative processes, it contributes to a reduction in total cost of ownership (TCO). The platform's AI-driven design accelerators, in conjunction with readily available integrations for DataOps and data science services, significantly expedite the pace of AI development. Moreover, its capabilities for parallel processing and multicloud integration facilitate the delivery of consistent data across extensive hybrid or multicloud environments. Additionally, the IBM Cloud Pak for Data platform allows for the effective management of the complete data and analytics lifecycle, incorporating a range of services such as data science, event messaging, data virtualization, and data warehousing, all supported by a parallel engine and automated load balancing. This all-encompassing strategy equips your organization to remain at the forefront of the swiftly changing data and AI landscape, ensuring that you can adapt and thrive in a competitive market.

Media

Media

Integrations Supported

Amazon Redshift
Amazon S3
Google Analytics
JD Edwards EnterpriseOne
Microsoft Dynamics 365
MySQL
Oracle Autonomous Data Warehouse
Oracle Fusion Cloud ERP
Oracle PeopleSoft
QuickBooks Online
XML

Integrations Supported

ActiveBatch Workload Automation
FairCom DB
FairCom EDGE
IBM Watson Studio
IRI FieldShield
MettleCI
Origina
Pantomath

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Sesame Software

Date Founded

1988

Company Location

United States

Company Website

sesamesoftware.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/infosphere-datastage

Categories and Features

Archiving

Not specified

Backup

Backup Log
Backup Scheduling
Cloud Backup
Continuous Backup
Encryption
Incremental Backup
Web Access / Restoration

Big Data

Data Warehousing

Cloud Migration

Not specified

Data Extraction

Not specified

Data Integration

Not specified

Data Lake

Not specified

Data Loss Prevention

Not specified

Data Management

Data Integration
Data Migration

Data Migration

Not specified

Data Replication

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Orchestration
Remote Database Replication

Data Warehouse

Ad hoc Query
Data Integration
Data Migration
ETL - Extract / Transfer / Load
In-Memory Processing

Disaster Recovery

Not specified

ETL

Data Filtering
Job Scheduling

Integration

ETL - Extract / Transform / Load
Multiple Data Sources

Categories and Features

Big Data

Not specified

Data Integration

Not specified

Data Lineage

Not specified

Data Mapping

Not specified

Data Virtualization

Not specified

ETL

Not specified

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