Data Analytics Glossary

Directory

The Best Data Management & Sharing Platform

Extract, edit, and share your data from over 20+ data sources with Acho.

Database Sharding

What is Database Sharding?

Database sharding is closely tied with database partitioning. Sharding means horizontal partitioning, where each partition is referred to a “shard”. In general, sharding is used in context of a multi-node distributed system, where shards are stored at different locations or nodes. Whereas “horizontal partitioning” is usually used in a single server or node context. Both techniques are used for performance optimization and scalability reasons over very large databases.

How does Database Sharding work?

For Acho Studio users, once again, partitioning and sharding are backend structures that they do not need to worry about. The Acho team will configure the backend database structure to ensure performance is always optimized for frontend user experiences.

The Best Data Management & Sharing Platform

Extract, edit, and share your data from over 20+ data sources with Acho.

Database Sharding

What is Database Sharding?

Database sharding is closely tied with database partitioning. Sharding means horizontal partitioning, where each partition is referred to a “shard”. In general, sharding is used in context of a multi-node distributed system, where shards are stored at different locations or nodes. Whereas “horizontal partitioning” is usually used in a single server or node context. Both techniques are used for performance optimization and scalability reasons over very large databases.

How does Database Sharding work?

For Acho Studio users, once again, partitioning and sharding are backend structures that they do not need to worry about. The Acho team will configure the backend database structure to ensure performance is always optimized for frontend user experiences.

Data Analytics Glossary

The Best Data Management & Sharing Platform

Extract, edit, and share your data from over 20+ data sources with Acho.

Database Sharding

What is Database Sharding?

Database sharding is closely tied with database partitioning. Sharding means horizontal partitioning, where each partition is referred to a “shard”. In general, sharding is used in context of a multi-node distributed system, where shards are stored at different locations or nodes. Whereas “horizontal partitioning” is usually used in a single server or node context. Both techniques are used for performance optimization and scalability reasons over very large databases.

How does Database Sharding work?

For Acho Studio users, once again, partitioning and sharding are backend structures that they do not need to worry about. The Acho team will configure the backend database structure to ensure performance is always optimized for frontend user experiences.

The Best Data Management & Sharing Platform

Extract, edit, and share your data from over 20+ data sources with Acho.

Database Sharding

What is Database Sharding?

Database sharding is closely tied with database partitioning. Sharding means horizontal partitioning, where each partition is referred to a “shard”. In general, sharding is used in context of a multi-node distributed system, where shards are stored at different locations or nodes. Whereas “horizontal partitioning” is usually used in a single server or node context. Both techniques are used for performance optimization and scalability reasons over very large databases.

How does Database Sharding work?

For Acho Studio users, once again, partitioning and sharding are backend structures that they do not need to worry about. The Acho team will configure the backend database structure to ensure performance is always optimized for frontend user experiences.