A data sharding management
Managing large volumes of enterprise data usually will need rearchitecting the way data is stored in databases. One of well-known techniques is distributing data across multiple shards to get better performance during data read and write.
ExaScale tries to bring a provider agnostic solution to the table. Each provider must impelment its own operations to be supported.
| Shards Count | Total Shard Items | Records Per Shard Item | Time (sec) |
|---|---|---|---|
| 1 | 100,000 | 10 | 44 |
| 5 | 100,000 | 10 | 36 |