AGILE & SCALABLE APPROACH

Data Mesh

Decentralized data architecture with autonomous and interconnected data domains.

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Foster ownership and fuel collaboration.

Defined domains for ownership and accountability.

In a data mesh architecture, domains allow you to define clear ownership by assigning domains to specific data owners and organize data by business areas to make it easier to discover and access relevant data assets.

Drive value from data assets with Data Products

Within domains, define data products that package curated information of multiple data assets, making it easier for users to access relevant data products and becomes a shared resource among teams for better collaboration.

Data Asset: Building blocks for Data Products

Curate specific segments of your datasets to deliver the most relevant information to your data consumers. This avoids information overload and ensures data products are focused and deliver only the most valuable insights.

Configure tables with clear segmentation of data for context

Define a single table in multiple ways within different data assets, ensuring each data product aligns to business logic. Assign clear aliases to table names and columns, providing valuable context for use.

Enforce Trust with Data Contracts

Data contracts ensure data quality and trust are at a high-level between producers and data consumers.

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Custom SQL Test

Write your own tests with SQL scripts to set up monitoring specific to your needs.

Error spotting

Find where the incident took place and replicate events for faster resolution times.

Bulk configuration

Enable monitoring across multiple tables within sources by our one-page bulk config.

No more firefighting.

Preset field monitors

Choose which fields to monitor with 12 available test types such as null%, regex_match, cardinality etc.

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ML-powered tests for data quality

Thresholds for table tests such as Volume and Freshness are auto-detected by our system once data source is connected.

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Smart alerts

Alerts are grouped so we don't spam you 100s of notifications. We also deliver them directly to your email or Slack.

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Data Reconciliation

Always experience missing data? Check for data-diffs between any two datasets such as your staging and production tables.

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People are loving Decube, see what you are missing

“We have been using this platform for a few months now, and we are extremely satisfied with the results. The platform has helped us to improve the quality of our data and make better business decisions.”

Hendrie | Head - Data Engineering @ Koinworks

“Our company has been using this platform for the past 2 months and it has completely transformed the way we manage our data. The observability features have been especially valuable, allowing us to identify and resolve issues in near real-time”

Simon | Data Engineer @ Flowerchimp

“The data observability features have been a real lifesaver for our organization. We are now able to detect and fix problems in our data pipeline much faster than before.”

Siva | OpsEngineer @ Kollect

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Comprehensive and centralized solution for data governance, and observability.

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