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What is Kylo?
Kylo is an open-source solution tailored for the proficient management of enterprise-scale data lakes, enabling users to effortlessly ingest and prepare data while integrating strong metadata management, governance, security, and best practices informed by Think Big's vast experience from over 150 large-scale data implementations. It empowers users to handle self-service data ingestion, enhanced by functionalities for data cleansing, validation, and automatic profiling. The platform features a user-friendly visual SQL and an interactive transformation interface that simplifies data manipulation. Users can investigate and navigate both data and metadata, trace data lineage, and access profiling statistics without difficulty. Moreover, it includes tools for monitoring the vitality of data feeds and services within the data lake, which aids users in tracking service level agreements (SLAs) and resolving performance challenges efficiently. Users are also capable of creating and registering batch or streaming pipeline templates through Apache NiFi, which further supports self-service capabilities. While organizations often allocate significant engineering resources to migrate data into Hadoop, they frequently grapple with governance and data quality issues; however, Kylo streamlines the data ingestion process, allowing data owners to exert control through its intuitive guided user interface. This revolutionary approach not only boosts operational effectiveness but also cultivates a sense of data ownership among users, thereby transforming the organizational culture towards data management. Ultimately, Kylo represents a significant advancement in making data management more accessible and efficient for all stakeholders involved.
What is Datumize Zentral?
To successfully adapt to changing environments, organizations need to demonstrate flexibility and agility in their data strategies while also upholding strong data governance standards. Datumize Zentral (DZ) acts as a holistic self-service management platform that facilitates the creation, configuration, testing, deployment, and oversight of data pipelines, agents, and third-party integrations. Its user-friendly interface and API are designed to meet the diverse needs of both clients and partners. Additionally, DZ offers versatile hosting options, enabling deployment on Datumize Cloud, various other cloud services, or even on-premises servers. This adaptability allows businesses to customize their data solutions to align with their unique operational demands, ultimately enhancing their overall efficiency and effectiveness. Moreover, the platform’s comprehensive features empower organizations to optimize their data management processes seamlessly.
Integrations Supported
Amazon Web Services (AWS)
Apache Spark
BiG EVAL
Elasticsearch
Hadoop
HashiCorp Vault
MySQL
OpenText Voltage SecureData
Talend Data Preparation
ThoughtSpot
Integrations Supported
Amazon Web Services (AWS)
Apache Spark
BiG EVAL
Elasticsearch
Hadoop
HashiCorp Vault
MySQL
OpenText Voltage SecureData
Talend Data Preparation
ThoughtSpot
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
Teradata
Date Founded
1979
Company Location
United States
Company Website
kylo.io
Company Facts
Organization Name
Datumize
Date Founded
2014
Company Location
Spain
Company Website
www.datumize.com
Categories and 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
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