Database Server Hosting

Let’s say a person, a lab, or a multi-lab consortium decide to use DataJoint as their data pipeline platform. What IT resources and support will be required?

DataJoint uses a MySQL-compatible database server such as MySQL, MariaDB, Percona Server, or Amazon Aurora to store the structured data used for all relational operations. Large blocks of data associated with these records such as multidimensional numeric arrays (signals, images, scans, movies, etc) can be stored within the database or stored in additionally configured bulk storage.

The first decisions you need to make are where this server will be hosted and how it will be administered. The server may be hosted on your personal computer, on a dedicated machine in your lab, or in a cloud-based database service.

Cloud hosting

Increasingly, many teams make use of cloud-hosted database services, which allow great flexibility and easy administration of the database server. A cloud hosting option will be provided through The hub simplifies the setup for labs that wish to host their data pipelines in the cloud and allows sharing pipelines between multiple groups and locations. Being an open-source solution, other cloud services such as Amazon RDS can also be used in this role, albeit with less DataJoint-centric customization.

Self hosting

In the most basic configuration, the relational database software and DataJoint are installed onto a single computer which is used by an individual user. To support a small group of users, a larger computer can be used instead and configured for remote access. As the number of users grows, individual workstations can be installed with the DataJoint software and used to connect to a larger and more specialized centrally located database server machine.

For even larger groups or multi-site collaborations, multiple database servers may be configured in a replicated fashion to support larger workloads and simultaneous multi-site access. The following section provides some basic guidelines for these configurations here and in the subsequent sections of the documentation.

General server / hardware support requirements

The following table lists some likely scenarios for DataJoint database server deployments and some reasonable estimates of the required computer hardware. The required IT/systems support needed to ensure smooth operations in the absence of local database expertise is also listed.

IT infrastructures
Usage Scenario DataJoint Database Computer Required IT Support
Single User Personal Laptop or Workstation Self-Supported or Ad-Hoc General IT Support
Small Group (e.g. 2-10 Users) Workstation or Small Server Ad-Hoc General or Experienced IT Support
Medium Group (e.g. 10-30 Users) Small to Medium Server Ad-Hoc/Part Time Experienced or Specialized IT Support
Large Group/Department (e.g. 30-50+ Users) Medium/Large Server or Multi-Server Replication Part Time/Dedicated Experienced or Specialized IT Support
Multi-Location Collaboration (30+ users, Geographically Distributed) Large Server, Advanced Replication Dedicated Specialized IT Support