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Description

Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.

Description

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Adobe Marketo Engage No 
Amazon S3 Yes 
Amazon Web Services (AWS) Yes 
DBHawk Yes 
Datametica Yes 
DbVisualizer Yes 
Delta Lake No 
Digna Yes 
Google Cloud Platform No 
IBM Cloud Pak for Data Yes 
IBM Cognos Analytics Yes 
IRI Voracity Yes 
Immuta Yes 
Microsoft 365 Yes 
Microsoft Azure Yes 
Nucleon Database Master Yes 
SMART Business Suite Yes 
Semarchy xDI Yes 
StreamFlux Yes 
ThoughtSpot No 

Integrations

Adobe Marketo Engage Yes 
Amazon S3 No 
Amazon Web Services (AWS) No 
DBHawk No 
Datametica No 
DbVisualizer No 
Delta Lake Yes 
Digna No 
Google Cloud Platform Yes 
IBM Cloud Pak for Data No 
IBM Cognos Analytics No 
IRI Voracity No 
Immuta No 
Microsoft 365 No 
Microsoft Azure No 
Nucleon Database Master No 
SMART Business Suite No 
Semarchy xDI No 
StreamFlux No 
ThoughtSpot Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/netezza

Vendor Details

Company Name

Qlik

Founded

1993

Country

United States

Website

www.talend.com

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Product Features

Big Data

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

Data Cleansing

Address/ZIP Code Cleaning Yes 
Charting Yes 
Data Consolidation / ETL Yes 
Data Mapping Yes 
Multi Data Format Support Yes 
Phone/Email Validation No 
Raw Data Ingestion Yes 
Sample Testing Yes 
Validation / Matching / Reconciliation Yes 

Data Extraction

Disparate Data Collection Yes 
Document Extraction Yes 
Email Address Extraction Yes 
IP Address Extraction Yes 
Image Extraction Yes 
Phone Number Extraction Yes 
Pricing Extraction Yes 
Web Data Extraction Yes 

Data Fabric

Data Access Management No 
Data Analytics No 
Data Collaboration No 
Data Lineage Tools No 
Data Networking / Connecting No 
Metadata Functionality No 
No Data Redundancy No 
Persistent Data Management No 

Data Governance

Access Control Yes 
Data Discovery Yes 
Data Mapping Yes 
Data Profiling Yes 
Deletion Management Yes 
Email Management Yes 
Policy Management Yes 
Process Management Yes 
Roles Management Yes 
Storage Management Yes 

Data Management

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

Data Quality

Address Validation Yes 
Data Deduplication Yes 
Data Discovery Yes 
Data Profililng Yes 
Master Data Management Yes 
Match & Merge Yes 
Metadata Management Yes 

Data Warehouse

Ad hoc Query No 
Analytics Yes 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
ETL - Extract / Transfer / Load Yes 
In-Memory Processing No 
Match & Merge Yes 

Enterprise Service Bus (ESB)

Data Source Connectors No 
Electronic Data Interchange (EDI) No 
Enterprise Application Integration No 
Enterprise Integration Patterns (EIP) No 
Integrations Management No 
Messaging No 

ETL

Data Analysis Yes 
Data Filtering No 
Data Quality Control Yes 
Job Scheduling No 
Match & Merge Yes 
Metadata Management Yes 
Non-Relational Transformations No 
Version Control No 

Integration

Dashboard Yes 
ETL - Extract / Transform / Load Yes 
Metadata Management Yes 
Multiple Data Sources Yes 
Web Services Yes 

Master Data Management

Data Governance Yes 
Data Masking Yes 
Data Source Integrations Yes 
Hierarchy Management Yes 
Match & Merge Yes 
Metadata Management Yes 
Multi-Domain No 
Process Management No 
Relationship Mapping No 
Visualization Yes 

Alternatives

Alternatives

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