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What is Talend Data Fabric?

Talend Data Fabric's cloud offerings proficiently address all your integration and data integrity challenges, whether on-premises or in the cloud, connecting any source to any endpoint seamlessly. Reliable data is available at the right moment for every user, ensuring timely access to critical information. Featuring an intuitive interface that requires minimal coding, the platform enables users to swiftly integrate data, files, applications, events, and APIs from a variety of sources to any desired location. By embedding quality into data management practices, organizations can ensure adherence to all regulatory standards. This can be achieved through a collaborative, widespread, and unified strategy for data governance. Access to high-quality, trustworthy data is vital for making well-informed decisions, and it should be sourced from both real-time and batch processing, supplemented by top-tier data enrichment and cleansing tools. Enhancing the value of your data is accomplished by making it accessible to both internal teams and external stakeholders alike. The platform's comprehensive self-service capabilities simplify the process of building APIs, thereby fostering improved customer engagement and satisfaction. Furthermore, this increased accessibility contributes to a more agile and responsive business environment.

What is IBM watsonx.data?

Utilize your data, no matter where it resides, by employing an open and hybrid data lakehouse specifically crafted for AI and analytics applications. Effortlessly combine data from diverse sources and formats, all available through a central access point that includes a shared metadata layer. Boost both cost-effectiveness and performance by matching particular workloads with the most appropriate query engines. Speed up the identification of generative AI insights through integrated natural-language semantic search, which removes the necessity for SQL queries. It's crucial to build your AI applications on reliable data to improve their relevance and precision. Unleash the full potential of your data, regardless of its location. Merging the speed of a data warehouse with the flexibility of a data lake, watsonx.data is designed to promote the growth of AI and analytics capabilities across your organization. Choose the ideal engines that cater to your workloads to enhance your strategy effectively. Benefit from the versatility to manage costs, performance, and functionalities with access to a variety of open engines, including Presto, Presto C++, Spark Milvus, and many others, ensuring that your tools perfectly meet your data requirements. This all-encompassing strategy fosters innovative solutions that can propel your business into the future, ensuring sustained growth and adaptability in an ever-changing market landscape.

Media

Media

Integrations Supported

Box
Hadoop
Salesforce
Anaconda
Apache Spark
Cloudera
Delta Lake
Google Cloud Platform
Hopsworks
MongoDB
MySQL
MyScale
Presto
Presto
Qdrant
SuperAnnotate
Tableau CRM
Typesense
Wiiisdom Ops
Zilliz Cloud

Integrations Supported

Box
Hadoop
Salesforce
Anaconda
Apache Spark
Cloudera
Delta Lake
Google Cloud Platform
Hopsworks
MongoDB
MySQL
MyScale
Presto
Presto
Qdrant
SuperAnnotate
Tableau CRM
Typesense
Wiiisdom Ops
Zilliz Cloud

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

Qlik

Date Founded

1993

Company Location

United States

Company Website

www.talend.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/watsonx-data

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 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 Extraction

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

Data Fabric

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

Data Governance

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

Data Management

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

Data Quality

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

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Enterprise Service Bus (ESB)

Data Source Connectors
Electronic Data Interchange (EDI)
Enterprise Application Integration
Enterprise Integration Patterns (EIP)
Integrations Management
Messaging

ETL

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

Integration

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

Master Data Management

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

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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