Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • SCIKIQ Reviews & Ratings
    14 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • Gearset Reviews & Ratings
    305 Ratings
    Company Website
  • StackAI Reviews & Ratings
    55 Ratings
    Company Website
  • SmartDraw Reviews & Ratings
    573 Ratings
    Company Website
  • Fathom Reviews & Ratings
    7,880 Ratings
    Company Website
  • Introw PRM Reviews & Ratings
    122 Ratings
    Company Website
  • Code-Cube.io Reviews & Ratings
    7 Ratings
    Company Website
  • Cloverleaf Reviews & Ratings
    189 Ratings
    Company Website

What is Metaphor?

By automating the indexing of warehouses, lakes, dashboards, and other elements within your data ecosystem, Metaphor significantly improves data visibility through the integration of utilization metrics, lineage tracking, and indicators of social popularity, ensuring that the most dependable data is presented to your audience. This holistic perspective on data encourages organizational discussions and guarantees that critical information is easily accessible to all team members. Engage effectively with clients by sharing catalog artifacts and documentation directly through Slack, allowing for seamless communication. Additionally, you can tag important discussions in Slack and associate them with specific data points, which encourages collaboration and aids in the organic discovery of relevant terms and usage patterns, thereby dismantling communication barriers. Navigating through your entire data stack becomes a straightforward task, enabling the creation of both detailed technical documentation and user-friendly wikis tailored for non-technical users. You can also offer users direct support via Slack while utilizing the catalog as a Data Enablement tool, thus refining the onboarding experience for a more customized approach. Ultimately, this strategy not only boosts data accessibility but also significantly enhances the data literacy across your organization, empowering all members to make informed decisions. By fostering an environment of collaboration, Metaphor helps build a data-driven culture within your workplace.

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.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
ThoughtSpot
Amazon S3
Google Cloud BigQuery
Looker
Metabase
Microsoft Power BI
Okta
Snowflake
Soda
Tableau
dbt

Integrations Supported

Amazon Web Services (AWS)
ThoughtSpot
Apache Spark
BiG EVAL
Elasticsearch
Hadoop
HashiCorp Vault
OpenText Data Privacy & Protection Foundation
Talend Data Preparation
VirtualBox

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Metaphor Data

Date Founded

2020

Company Location

United States

Company Website

metaphor.io

Company Facts

Organization Name

Teradata

Date Founded

1979

Company Location

United States

Company Website

kylo.io

Categories and Features

Data Collaboration

Not specified

Data Management

Not specified

Metadata Management

Not specified

Categories and Features

Data Governance

Not specified

Data Lake

Not specified

Data Lineage

Not specified

Data Preparation

Not specified

Metadata Management

Not specified

Popular Alternatives

Popular Alternatives

Apache Atlas Reviews & Ratings

Apache Atlas

Apache Software Foundation