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What is Decube?

Decube is an all-encompassing platform for data management tailored to assist organizations with their needs in data observability, data cataloging, and data governance. By delivering precise, trustworthy, and prompt data, our platform empowers organizations to make more informed decisions. Our tools for data observability grant comprehensive visibility throughout the data lifecycle, simplifying the process for organizations to monitor the origin and movement of data across various systems and departments. Featuring real-time monitoring, organizations can swiftly identify data incidents, mitigating their potential disruption to business activities. The data catalog segment of our platform serves as a unified repository for all data assets, streamlining the management and governance of data access and usage within organizations. Equipped with data classification tools, organizations can effectively recognize and handle sensitive information, thereby ensuring adherence to data privacy regulations and policies. Moreover, the data governance aspect of our platform offers extensive access controls, allowing organizations to oversee data access and usage with precision. Our capabilities also enable organizations to produce detailed audit reports, monitor user activities, and substantiate compliance with regulatory standards, all while fostering a culture of accountability within the organization. Ultimately, Decube is designed to enhance data management processes and facilitate informed decision-making across the board.

What is DataBuck?

Ensuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.

Media

Media

Integrations Supported

Apache Airflow
Azure SQL Database
Databricks
Google Cloud BigQuery
PostgreSQL
Snowflake
Amazon Redshift
Looker
Oracle SQL Developer
SingleStore
Tableau
dbt

Integrations Supported

Apache Airflow
Azure SQL Database
Databricks
Google Cloud BigQuery
PostgreSQL
Snowflake
AWS Glue
Amazon Web Services (AWS)
Azure Cosmos DB
Cloudera
Google Cloud Dataflow
Google Cloud Platform
Microsoft Azure
Teradata VantageCloud

API Availability

Has API

API Availability

Has API

Pricing Information

We have community edition (free-forever) plan to work with early stage companies.
Free Version
Free Trial Offered?

Pricing Information

Consumption-based and annual fixed licensing fee are both available.

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Decube

Date Founded

2022

Company Location

Singapore

Company Website

decube.io

Company Facts

Organization Name

FirstEigen

Date Founded

2015

Company Location

United States

Company Website

firsteigen.com/databuck/

Categories and Features

Data Catalog

Not specified

Data Engineering

Not specified

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Email Management
Policy Management
Roles Management

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing

Data Management

Not specified

Data Observability

Not specified

Data Pipeline

Not specified

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Metadata Management

Metadata Management

Not specified

Categories and Features

AI Data Analytics

Not specified

Big Data

High Volume Processing

Data Engineering

Not specified

Data Governance

Not specified

Data Intelligence

Not specified

Data Management

Not specified

Data Matching

Not specified

Data Observability

Not specified

Data Pipeline

Not specified

Data Quality

Data Profililng

Data Validation

Not specified

DataOps

Not specified

Reconciliation

Not specified

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