Platform is the heart of performance. That’s why ZL’s zealous commitment to architecture is an enduring philosophy, not just a feature.ZL Unified Archive® (ZL UA) is a comprehensive information governance platform built specifically to meet the demands of the large enterprise. Better performance comes from better architecture; with no data silos and no code stitched together via product acquisitions, ZL UA is unparalleled in its scalability and granular control of enterprise unstructured content. One data copy, one centralized retention engine, and one repository for all data types ensures nothing goes unmanaged. Control enterprise data to meet all of today’s legal and regulatory requirements, while slashing the data sprawl and architectural barriers that impede large-scale analytics. ZL UA pools and de-duplicates content so that data generated within the enterprise becomes a powerful resource: meeting all existing management requirements while curating a vast reservoir of data for leverage in analytics.

Today, there is more demand for a consolidated approach to information governance than ever before. But buyer beware: true Unified control can only come from certain qualities.

Unified Architecture

ONE Data Copy, ONE Search, ONE Retention Policy, ONE Code Base

All Applications

Many needs, ONE solution. The ZL Unified Archive® is unique in the ability to handle several critical inter-dependent IT functions from a single, unified software platform. There are no separate data silos, no separate products to integrate, and no separate systems to deploy. ZL’s power lies in its unified architecture, which allows for seamless archiving and search of a vast array of data types, across the enterprise, for multiple purposes.


All content, one archive. Maximize storage efficiency not only for cost reduction, but also for security, system health monitoring, and legal defensibility. True Global Single-Instance Storage (SIS) eliminates data redundancy across all data types within the enterprise, and uses a single database and index across all data sources. The result is a sophisticated ability to selectively offload data from production servers down to lower-tier storage, using any granular combination of triggers. Full stubbing options can help provide up to a 95% reduction in storage footprint with minimal interference to end users, while log analytics give an advanced view of system health.


Get eDiscovery support that spans the entire EDRM, without any data movement. ZL UA upends antiquated methodology in which data is painstakingly shuffled through a chain of multiple legal tools. Instead, ZL UA provides the proactive left-hand foundation of information management architecture, into which all downstream legal functionalities and features are built. This single-platform approach meshes seamlessly with retention policies and legal holds, minimizing human error. One data environment provides enterprise-wide access that slashes discovery expenses while still providing unparalleled search speed, accuracy, flexibility, and defensibility.


Surpass regulatory requirements. ZL Compliance Manager, built within ZL’s unified governance platform, provides the most comprehensive approach for filtering and sophisticated supervision of content, including pre-review capabilities. A highly-granular lexical system enables the enterprise to fully customize policies based on practically any external or internal compliance need: SEC, NASD, FERC, HIPAA, SOX, FDA, and much more.


All records, all data: all managed from cradle to grave. In contrast to stand-alone records solutions, ZL Records Manager is fundamentally embedded within a single-platform information governance infrastructure, allowing a single policy management framework to be applied centrally, consistently, and across all content. Automatic, manual, and hybrid classification options ensure everything is appropriately sorted for retention or defensible disposition, no matter the volume of data.


Data management is the foundation of data analytics. ZL UA’s unique governance architecture establishes one true population of enterprise content on which to apply analytics: without the silos, bottlenecks, and sampling challenges associated with specialty tools. With ZL Enterprise Analytics, the corpus of data already managed for business requirements is transformed into strategic advantage by mining collective human knowledge for operational insight. Analyze across data types and people, unearthing previously unseen correlations and patterns in work products and business processes.

Additional Features

Distributed and Parallel processing

ZL Platform supports both batch and stream processing using low-cost commodity hardware and virtual machines. Tasks can be distributed on multiple nodes with high degree of co-ordination along with high availability and failover. Apache Hadoop core components like ZooKeeper are engineered into core platform for coordination, consensus, and heartbeat: allowing unmatched processing efficiency in enterprise-scale data environments.

Linear Scalability

The ZL Platform scales to collect and index billions of objects; because each server is equally capable of all processing functions, scalability is linear and efficient. This ability allows for true scalability based on total data volume, rather than being limited by servers that have been clustered by pre-determined processing roles. The ZL Platform provides inherent scalability to quickly allocate Virtual Machines (VM’s) during spike periods, while also accommodating decommission once the need or project is complete.


ZL platform is cloud-ready and available either in public, private or hybrid options. This enables customer and service providers to use generic cloud resources with the inherent ability to run background tasks at off-peak hours when computing resources in the cloud are cheaper. Flexibility to switch between cloud, on-prem, and hybrid options ensures that the enterprise has the freedom to adapt deployments as needs change over time.

Multiple Deployment Options

ZL Platform provides multiple deployment options to customers. The enterprise can either deploy in-house or in the cloud: with private, public multi-tenant, or hybrid models all available. The same platform works on multiple operating systems and databases, and works agnostic of storage layer. Compatibility with a wide variety of hardware ensures a custom fit for each individual deployment and customer.


ZL’s architecture improves security by design, allowing information to be consolidated and potential weak points to be minimized. The ZL Platform further provides a comprehensive security blanket on who can access what information; access controls can be maintained at a very fine-grained level without compromising the simplicity of end user access. Platform security works consistently across all deployment modes including multi-tenant deployments. The ZL security framework is very robust, as data is encrypted to support encryption standards such as Java Security and the Java Cryptography Engines (JCE).

Storage and Compression

ZL platform works agnostic of the storage layer and provides storage savings as a major benefit of its unified approach through Single-Instance storage and de-duplication of files, along with compression, can deliver storage footprint reductions of over 90%.

Enterprise Search

Access all enterprise data, with a single click: in seconds. ZL Search has been developed and refined over numerous years as a core component of the platform. With large enterprise global deployments, customers have utilized the robust and enterprise-tested engine to search and retrieve documents from a pool of billions of unique items, all in a matter of seconds. Sophisticated capabilities such as fuzzy search, parallel search, and proximity search all ensure that the data delivered is a much closer match than keywords alone can deliver. Ability to search across all file types from one portal translates to powerful global access to enterprise information.

Enterprise Graph

ZL Platform has built-in graph computing and storage to enable the mapping of people with emails, calendars, documents, IMs, and other data. The ability to map human activity directly with human-generated data helps to derive powerful business intelligence, answering questions such as “who knows who” and “who knows what” while correlating diverse data types.

Machine Learning

ZL Platform has built-in learning algorithms that are used with Nature Language Processing, entity extraction, similarity matching, and sampling content categorization among others. These algorithms are leveraged across components to provide a consistent answer to search results and analytics surfaced by application layer.

Platform for Application Developers

Using the ZL High Performance Platform API kit, developers can use their preferred tools and languages — such as Java and C# — to build ZL apps with custom dashboards, user interfaces, and custom data types. API Kit enables rapid integration between the ZL Platform and other applications to maximize the value of data, while still meeting the existing needs and preferences of the enterprise.


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