Companies often find that many of their once useful applications are no longer necessary to support everyday business operations. Organizations typically retain legacy applications for fear of losing access to important data; however, unused legacy applications deplete valuable time and resources and add unnecessary financial burdens to already-strained IT budgets.
ZL Database Archiving™ supports the ingestion of data from numerous structured and unstructured data sources, including but not limited to:- Traditional RDBMs – Microsoft SQLServer, Oracle, IBM DB2
- NoSQL Data Stores – MongoDB, Apache Cassandra, HBase
- Data Warehouses – Teradata, Oracle
- Legacy ECMs – Microsoft SharePoint, EMC Documentum
- Legacy Archives – Symantec Enterprise Vault, HP Autonomy, EMC SourceOne
- Flat Files – CSV, XML, JSON
Industry-Leading Compression
Data from legacy applications is extracted and ingested into the ZL NoSQL™ Database, which is engineered with adaptive compression algorithms to achieve over 90% storage optimization.Comprehensive Governance/Legal Hold
ZL eDiscovery Manager™ provides legal hold capabilities for all data relevant to a particular legal case. These legal holds maintain data preservation until the litigation ends, preventing any case-relevant data from being modified or deleted throughout the process.Perform Enterprise Analytics
ZL Enterprise Analytics™ (EA) provides purpose-built analytical applications to explore, mine, and monitor information from your people, products, customers, and business. Once data is ingested and processed into the ZL UA platform, customized reports and analytics are immediately available. Instead of performing analytics solely on structured data, business users can expand their analysis to include both structured and unstructured data to gather previously unseen insights from enterprise-generated data.
Integration with Existing Tools
ZL UA, as an open platform, provides integration capabilities with several third party tools that may already be in use by the enterprise today. In addition, advanced reporting and analysis can be provided on the already processed data through integration with visualization tools like Tableau.