Kellyn Pot’vin-Gorman has a list of tools you can use to make working with SQL Server on Linux a bit easier:
Along with the above versions of Linux distributions, SQL Server 2019 is supported in a container scenario using a Docker image. Running a SQL Server database inside a Docker engine with Linux offers more flexibility, faster recovery, and quicker deployments, including deployments into the Azure cloud. For those becoming familiar with Linux, Docker for Windows or Mac gives you the option to run a Docker engine on your workstation with SQL Server 2019 on Linux.
Along with Docker technology, orchestration can be achieved, both managing and deploying SQL Server containers on Linux using Red Hat Open shift or Kubernetes. This includes SQL Server 2019 Big Data Clusters (BDC), fully scalable clusters with SQL Server, Spark, and Hadoop File System (HDFS). BDCs provide the ability to read, write, and analyze big data with T-SQL or Spark, and you can combine big data and relational data, too.
The set of tools just happens to be almost exactly the same set of tools as for Windows, but there are a few differences.