Speeding up PostgreSQL and securely protecting sensitive data: The entire data lifecycle in a centralised environment!
PostgreSQL is one of the leading open-source relational databases and is used for both traditional business applications and modern data platforms. However, as data volumes grow, so do the demands on performance, data integration and data protection. Extensive ETL processes, complex transformations and the secure provision of data for development, testing or analysis can place an increasing strain on existing systems.
The IRI solutions combine fast PostgreSQL data processing with integrated data masking, data migration and data quality. Organisations can efficiently extract, transform, cleanse and protect large data sets – without having to use a separate tool for each task.
Making PostgreSQL ETL faster and more efficient: Time-consuming sorts, joins, aggregations and transformations can be offloaded from the database and processed using the powerful IRI CoSort Engine. This accelerates extensive PostgreSQL ETL processes and enables database resources to be utilised more effectively.
Multiple steps can be executed within a single data flow. For example, data can be simultaneously:
Processing takes place via the Eclipse-based IRI Workbench. It provides a centralised graphical environment for the development, execution and management of data integration, migration and data protection tasks.
Effectively masking personal data in PostgreSQL: PostgreSQL databases often contain personal data or other sensitive information such as names, addresses, customer numbers, account details or health information. Copying production data for development, software testing, training or external analysis poses a significant data protection risk.
With IRI FieldShield and IRI Voracity, sensitive data in PostgreSQL can be automatically identified, classified and masked using rule-based methods. Techniques available for this include pseudonymisation, tokenisation, encryption, hashing, redaction and format-preserving encryption.
The data remains structurally and functionally usable, whilst real identities are protected. Consistent masking rules also ensure that relationships between tables and applications are preserved. This enables realistic test and analysis data to be provided without unnecessarily disclosing original personal data.
Combining ETL and data protection in a single process: A key advantage lies in the integration of data integration and data protection. Sensitive information does not first need to be exported, then protected using a separate product, and subsequently re-loaded. Transformation, cleansing and data masking can take place directly within the same processing step.
This reduces additional data movements, simplifies administration and supports compliance with GDPR and internal compliance requirements. At the same time, this reduces the risk of unprotected copies being left behind in temporary directories, test systems or analytical environments.
Migrating and modernising PostgreSQL data: Even during database migrations and modernisation projects, the IRI tools support the secure transition between different platforms, databases, files and data types. Existing PostgreSQL data can be extracted, restructured, converted and transferred to the desired target system.
These functions are not only available for native PostgreSQL databases. According to JET Software, PostgreSQL-compatible systems such as Amazon Aurora, Amazon Redshift, CockroachDB, EnterpriseDB and Yellowbrick are also supported.
This makes the solutions suitable for on-premises data centres as well as hybrid and cloud-based data architectures.
A platform for the entire data lifecycle: IRI Voracity brings together key tasks of modern data management within a single low-code platform. These include data discovery, data profiling, ETL, data migration, data quality, data masking, test data management and data governance.
Instead of complex multi-tool environments, this creates a seamless workflow: PostgreSQL data is identified, processed, protected and made available to downstream applications. This gives organisations greater transparency and control over their data processes.
Conclusion: High-performance PostgreSQL environments require more than just a fast database. It is only the combination of high-speed ETL, data quality, secure data migration and consistent data masking that enables efficient processes that comply with data protection regulations.
The IRI solutions combine these tasks within a centralised environment. This allows large PostgreSQL datasets to be processed more quickly, sensitive information to be reliably protected, and data to be securely made available for development, testing, analysis or new platforms.
Efficiency meets experience: For more than four decades, our software solutions have been supporting companies in data management and data protection – technologically leading, reliable in productive use and applicable across all industries.
In use since 1978: Numerous well-known companies, service providers, financial institutions and state and federal authorities are among our long-standing customers.
Maximum compatibility: Our software supports both classic mainframe platforms (Fujitsu BS2000/OSD, IBM z/OS, z/VSE, z/Linux) and modern open system environments such as Linux, UNIX derivatives and Windows.