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What is Piperr?

Leverage Piperr's ready-made data algorithms to produce outstanding data tailored for a wide array of enterprise stakeholders, including IT, Analytics, Technology, Data Science, and various Lines of Business. If your existing data platform isn't on our list of supported systems, worry not—we will build the necessary connectors at no additional cost. Piperr™ features a standard dashboard equipped with an advanced charting system, and it seamlessly integrates with Tableau, PowerBI, and other visualization tools. You can either take advantage of our machine learning-optimized data algorithms or choose to incorporate your own developed ML models. Bid farewell to protracted DataOps cycles; while your team focuses on enhancing AI models, Piperr will efficiently oversee the data lifecycle for you. Streamline your data operations, from data acquisition to test data management, with Piperr’s readily available data applications. With Piperr™, you are provided with the vital tools required to impose structure on data disorder within your organization. Opt for Piperr™ for all your data processing needs and witness your operational efficiency reach new heights, paving the way for smarter decision-making and innovation.

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

ActiveBatch Workload Automation
BMC AMI Ops Automation for Capping
BMC Helix Cloud Cost
FairCom DB
FairCom EDGE
IBM Cloud Pak for Applications
IBM Watson Studio
IRI FieldShield
MettleCI
Origina
Pantomath
Stonebranch

Integrations Supported

ActiveBatch Workload Automation
BMC AMI Ops Automation for Capping
BMC Helix Cloud Cost
FairCom DB
FairCom EDGE
IBM Cloud Pak for Applications
IBM Watson Studio
IRI FieldShield
MettleCI
Origina
Pantomath
Stonebranch

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Saturam

Date Founded

2014

Company Location

United States

Company Website

www.piperr.io

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/infosphere-datastage

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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