Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Organizations must exhibit adaptability and responsiveness in crafting and executing their data strategies to effectively navigate evolving landscapes, while simultaneously maintaining robust data governance practices. Datumize Zentral (DZ) serves as a comprehensive self-service management platform designed for the creation, configuration, testing, deployment, and monitoring of data pipelines, agents, and third-party bundles. With its intuitive user interface and API, it caters to the needs of clients and partners alike. Furthermore, its hosting capabilities are versatile, allowing it to be deployed on Datumize Cloud, any preferred cloud provider, or even on local servers. This flexibility ensures that businesses can tailor their data solutions to fit their specific operational requirements.
Description
Kylo serves as an open-source platform designed for effective management of enterprise-level data lakes, facilitating self-service data ingestion and preparation while also incorporating robust metadata management, governance, security, and best practices derived from Think Big's extensive experience with over 150 big data implementation projects. It allows users to perform self-service data ingestion complemented by features for data cleansing, validation, and automatic profiling. Users can manipulate data effortlessly using visual SQL and an interactive transformation interface that is easy to navigate. The platform enables users to search and explore both data and metadata, examine data lineage, and access profiling statistics. Additionally, it provides tools to monitor the health of data feeds and services within the data lake, allowing users to track service level agreements (SLAs) and address performance issues effectively. Users can also create batch or streaming pipeline templates using Apache NiFi and register them with Kylo, thereby empowering self-service capabilities. Despite organizations investing substantial engineering resources to transfer data into Hadoop, they often face challenges in maintaining governance and ensuring data quality, but Kylo significantly eases the data ingestion process by allowing data owners to take control through its intuitive guided user interface. This innovative approach not only enhances operational efficiency but also fosters a culture of data ownership within organizations.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Spark
BiG EVAL
Elasticsearch
Hadoop
HashiCorp Vault
MySQL
OpenText Voltage SecureData
Talend Data Preparation
ThoughtSpot
Integrations
Amazon Web Services (AWS)
Apache Spark
BiG EVAL
Elasticsearch
Hadoop
HashiCorp Vault
MySQL
OpenText Voltage SecureData
Talend Data Preparation
ThoughtSpot
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Datumize
Founded
2014
Country
Spain
Website
www.datumize.com
Vendor Details
Company Name
Teradata
Founded
1979
Country
United States
Website
kylo.io
Product 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
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
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
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface