

Matillion Data Productivity Cloud and BigID Next both compete in the data processing and governance category. Matillion seems to have the upper hand due to its ease of use, efficient integration with AWS, and cost-effectiveness.
Features: Matillion Data Productivity Cloud is appreciated for handling high-volume transformations, excellent integration with AWS, and rapid ETL setup. Its built-in data verification and mid-pipeline sampling add to its efficiency. BigID Next stands out for its advanced data discovery abilities, identifying and classifying structured and unstructured data comprehensively for compliance and governance needs.
Room for Improvement: Matillion could enhance API update frequency, expand database support, and improve connectivity options. Handling data streaming and marketing improvements could boost user awareness. BigID Next could expand its governance, risk, and compliance functionalities, refine its user interface, and enhance data connection and scan reliability. Additional classifiers and export functionalities are also desired.
Ease of Deployment and Customer Service: Matillion operates on a public cloud model offering rapid deployment with highly praised technical support. BigID Next spans private and hybrid clouds, offering flexible deployment. While BigID support is capable, Matillion's support is noteworthy for its documentation and responsiveness.
Pricing and ROI: Matillion's pricing via AWS Marketplace follows a pay-as-you-go model, aligning costs with specific needs and often leading to cost savings and quick ROI. BigID Next, though seen as expensive, offers a modular purchasing approach that can be cost-effective depending on operational scope, with its extensive capabilities justifying the pricing within a year.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
It is one of the best tools in the market.
I have seen a return on investment from using BigID, particularly as it is a regulatory and compliance tool that helps avoid potential penalties for non-compliance.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
BigID has one of the best technical support teams.
I would rate the customer support a six because you cannot directly reach out to L3 or L2 support if there's a major issue.
developing the custom connectors was relatively easy because of the courses I attended at BigID University and the support given by the BigID engineering team.
They communicate effectively and respond quickly to all inquiries.
I have added very large data sources to the BigID environment, and it remains stable.
BigID is scalable, allowing you to purchase as many scanners as you want.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
BigID deserves recognition for the data discovery part, which has been wonderful and quite accurate, along with the confidence level process that allows us to fine-tune results for better accuracy from the database.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
The pricing is competitive in the market, however, I need to ask for the right price.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
One of the best features of BigID is its strength in data discovery and governance.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
| Product | Market Share (%) |
|---|---|
| BigID | 2.7% |
| Matillion Data Productivity Cloud | 1.1% |
| Other | 96.2% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.
BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.
What features does BigID Next offer?BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
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