| title | parent | nav_order | description |
|---|---|---|---|
Hardware Sizing |
Step By Step Guide |
4 |
Hardware required for different sizes of data |
Zingg has been built to scale. Performance is dependent on:
- The number of records to be matched.
- The number of fields to be compared against each other.
- The actual number of duplicates.
Here are some performance numbers you can use to determine the appropriate hardware for your data.
- 120k records of examples/febrl120k/test.csv take 5 minutes to run on a 4 core, 10 GB RAM local Spark cluster.
- 5m records of North Carolina Voters take ~4 hours on a 4 core, 10 GB RAM local Spark cluster.
- 9m records with 3 fields - first name, last name, email take 45 minutes to run on AWS m5.24xlarge instance with 96 cores, 384 GB RAM
If you have up to a few million records, it may be easier to run Zingg on a single machine in Spark local mode.