Relativity Data Grid allows you to store, search, and analyze extracted text and audit data at massive scale. Data Grid enables faster workflows through continuous indexing and distributed search to gain deeper insight to your extracted text and audit data. The benefits of using the Data Grid data store include:
- Scalability and more efficient review workflows on case sizes with 10 million or more documents and billions of audits.
- More performant database maintenance, backup, and upgrades.
- A reduction in SQL server database sizes, leading to better performing SQL databases.
- Increased visibility into reviewer productivity and system performance.
Data Grid uses Elasticsearch to store and search audits.
Note: Text or audit information stored in Relativity Data Grid is inaccessible for some third-party applications. It's recommended that you contact any vendors of third-party applications to confirm their compatibility with Relativity Data Grid.
This page provides a brief description of Data Grid terminology, functionality, and important considerations to take into account
Note: Data Grid supports Windows servers only.
This page contains the following sections:
See these related pages:
Use the following workflow to get started with Data Grid.
The following table describes the hardware and system requirements per Data Grid feature.
|System requirements||Per Relativity specification||For more information about system requirements and infrastructure recommendations, see
To store text in Data Grid, you can use the same default file share as your natives and images, or you can designate a file share specifically Data Grid text. Once you enable a long text field's access to Data Grid, you can't disable it, so it's important to understand the benefits and limitations of storing text in Data Grid as compared to storing text in SQL.
Note: When you ARM restore to RelativityOne, extracted text is automatically stored in Data Grid.
|Supported functionality||Currently unsupported functionality|