Mainframe data management: collect, enrich, and expose your data
Turn scattered, technical mainframe data into something your teams can act on, in real time.
Modernizing your mainframe means working in a hybrid technical environment, with data at the center. Mainframe data is often spread across different applications, making it technical and hard to interpret. Zetaly Data Platform (ZDP) is designed for the mainframe. It collects both structured and unstructured operational data in real time from many sources, enriches it, manages its lifecycle from collection to deletion, and makes it available to your enterprise systems. With a self-service feature, ZDP supports different SMF (System Management Facility) data formats without complex programming. Its secure APIs allow other tools, such as business intelligence (BI) and machine learning (ML), to use the data. ZDP can process billions of records each day, up to 100,000 records per second, while using very little CPU—about 0.2% overhead. You can run ZDP in your own environment or choose the SaaS option, where Zetaly manages it for you.
What ZDP lets you do
ZDP collects and processes both structured and unstructured data, handling billions of records each day and up to 100,000 records per second, all with low CPU usage. It organizes your data with management and monitoring tools, so that you can analyze it in real time. ZDP also manages data retention to lower storage costs while keeping important insights using automated aggregation, retention, and purging. As an observability platform, it helps you explore your IT environment and fix issues before they become bigger problems.
01
Collect
ZDP uses connectors and parsers to collect data from many sources and integrate it into your systems. Because collection is API-driven, it fits easily with your existing setup.
02
Enrich
ZDP enriches data as it arrives. It adds context with metadata, performs basic calculations, combines data from different sources, and applies custom filters to deliver data tailored to each business unit. You do not need expert knowledge—ZDP takes care of everything.
03
Manage the data lifecycle
ZDP manages data from collection to deletion with three main goals: accuracy, availability, and security. It automates real-time aggregation, long-term retention, and purging to maximize your storage and data value.
04
Expose
ZDP exposes the result through flexible dashboards and secure APIs, so your data can feed other tools such as business intelligence (BI) and machine learning (ML). Because the data is already standardized and enriched, ZDP can also expose it in OpenTelemetry (OTel) format through its APIs.
05
Handle SMF data without programming
ZDP describes and processes SMF data through an extensible, self-service feature. Your teams handle different SMF data formats without complex programming, turning SMF data into usable insight.
Data ZDP works with
| Data type | Detail |
|---|---|
| SMF | All record types |
| IMS log / IFCID | Collected |
| SYSLOG | Collected |
| DCOLLECT D | Collected |
| DCOLLECT V | Collected |
| SCRT monthly detail report | Collected |
Several ways to visualize your data: use the Zetaly API to analyze data in your own systems, explore business intelligence in Zetaly’s dashboards, or access data stored in ZDP with the Zetaly Data Explorer (ZDE). The Zetaly API also lets you work with Power BI, Excel, and other BI tools.
Visualise ZDP’s enriched data
Zetaly Service Intelligence (ZSI) turns ZDP’s enriched data into dashboards and reports organized by business domain, so each team reads what matters to it. You explore the data through predefined dashboards for quick insight, or build your own to match how your business works.
Discover Zetaly Service IntelligenceUnlock the full potential of mainframe analytics
Mainframe data is scattered across applications and has a reputation for being technical and hard to interpret. ZDP automates log collection, frees up mainframe resources, and focuses on the data that matters most. The whitepaper explains how.
Whitepaper — Unlock the full potential of mainframe analytics with Zetaly Data Platform.
Download the whitepaperDeployment, support and services
Deployment
You can run ZDP on-premises in your own environment, so your mainframe data stays within your infrastructure. Or choose the SaaS platform hosted and managed by Zetaly, which handles hosting, maintenance, and availability. The subscription works the same way for both options; only the base price is different.
Services
Zetaly’s services teams help you validate and adopt the platform: a proof of value (POV) or proof of concept (POC) before you commit, then installation, upgrades, migration and team training.
Support
Zetaly's in-house experts handle your incidents and tickets through the Zetaly support portal, backed by continually updated product documentation and two named contacts — an Account Executive and an Account Manager — assigned from the start of your engagement.
Frequently Asked Questions
What is Zetaly Data Platform (ZDP)?
ZDP is a modern data platform for the mainframe. It collects structured and unstructured operational data in real time, enriches it, manages its lifecycle from collection to deletion, and exposes it to your enterprise ecosystem through dashboards and secure APIs. It handles billions of records a day with minimal CPU consumption.
Which mainframe data can ZDP collect?
ZDP collects SMF records (all record types), IMS logs and IFCID, SYSLOG, DCOLLECT “D” and “V”, and the SCRT monthly detail report. It handles different SMF formats through a self-service feature, without complex programming.
Does ZDP need programming to handle SMF data?
No. ZDP describes and processes SMF data through an extensible, self-service feature, so your teams handle different SMF data formats without complex programming and turn them into usable insight.
How does ZDP reduce storage cost?
ZDP manages the data lifecycle from collection to deletion, with automated real-time aggregation, long-term retention, and purging. You keep the insights that matter while cutting the storage you don’t need, which optimizes both storage and value.
How does ZDP expose the data?
ZDP exposes data through flexible dashboards and secure APIs, so other tools can use it, including business intelligence (BI) and machine learning (ML). You can reach the data in your own ecosystem via the Zetaly API, in Zetaly’s dashboards, or through the Zetaly Data Explorer (ZDE). ZDP can also expose the data in OpenTelemetry (OTel) format through its APIs, so it can feed an OpenTelemetry ecosystem.
Does ZDP use a lot of mainframe resources?
No. ZDP is built to gather and process data with minimal CPU consumption — an overhead of around 0.2% — handling billions of records a day, up to 100,000 records per second. It frees up mainframe resources by automating log collection and focusing on the data that matters.