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+++ b/README.md
@@ -1,25 +1,65 @@
-
+
-
-data-diff: compare datasets fast, within or across SQL databases
-
+
+data-diff: Compare datasets fast, within or across SQL databases
+
+
+# Use Cases
+
+## Data Migration & Replication Testing
+Compare source to target and check for discrepancies when moving data between systems:
+- Migrating to a new data warehouse (e.g., Oracle > Snowflake)
+- Converting SQL to a new transformation framework (e.g., stored procedures > dbt)
+- Continuously replicating data from an OLTP DB to OLAP DWH (e.g., MySQL > Redshift)
+
+
+## Data Development Testing
+Test SQL code and preview changes by comparing development/staging environment data to production:
+1. Make a change to some SQL code
+2. Run the SQL code to create a new dataset
+3. Compare the dataset with its production version or another iteration
+
+
+
+
+
+
+ data-diff integrates with dbt Core to seamlessly compare local development to production datasets
+
+
+
+
+
+
+
+> [dbt Cloud users should check out Datafold's out-of-the-box deployment testing integration](https://www.datafold.com/data-deployment-testing)
+
+:eyes: **Watch [4-min demo video](https://www.loom.com/share/ad3df969ba6b4298939efb2fbcc14cde)**
+
+**[Get started with data-diff & dbt](https://docs.datafold.com/development_testing/open_source)**
+
+Also available in a [VS Code Extension](https://marketplace.visualstudio.com/items?itemName=Datafold.datafold-vscode)
+
+Reach out on the dbt Slack in [#tools-datafold](https://getdbt.slack.com/archives/C03D25A92UU) for advice and support
+
+
# How it works
When comparing the data, `data-diff` utilizes the resources of the underlying databases as much as possible. It has two primary modes of comparison:
-## joindiff
+## `joindiff`
- Recommended for comparing data within the same database
- Uses the outer join operation to diff the rows as efficiently as possible within the same database
- Fully relies on the underlying database engine for computation
- Requires both datasets to be queryable with a single SQL query
- Time complexity approximates JOIN operation and is largely independent of the number of differences in the dataset
-## hashdiff
+## `hashdiff`
- Recommended for comparing datasets across different databases
- Can also be helpful in diffing very large tables with few expected differences within the same database
- Employs a divide-and-conquer algorithm based on hashing and binary search
@@ -52,52 +92,23 @@ data-diff \
Check out [documentation](https://docs.datafold.com/reference/open_source/cli) for the full command reference.
-# Use cases
-
-## Data Migration & Replication Testing
-Compare source to target and check for discrepancies when moving data between systems:
-- Migrating to a new data warehouse (e.g., Oracle > Snowflake)
-- Converting SQL to a new transformation framework (e.g., stored procedures > dbt)
-- Continuously replicating data from an OLTP DB to OLAP DWH (e.g., MySQL > Redshift)
-
-
-## Data Development Testing
-Test SQL code and preview changes by comparing development/staging environment data to production:
-1. Make a change to some SQL code
-2. Run the SQL code to create a new dataset
-3. Compare the dataset with its production version or another iteration
-
-
-
-
-
-`data-diff` integrates with dbt Core and dbt Cloud to seamlessly compare local development to production datasets.
-
-:eyes: **Watch [4-min demo video](https://www.loom.com/share/ad3df969ba6b4298939efb2fbcc14cde)**
-
-**[Get started with data-diff & dbt](https://docs.datafold.com/development_testing/open_source)**
-
-Also available in a [VS Code Extension](https://marketplace.visualstudio.com/items?itemName=Datafold.datafold-vscode)
-
-Reach out on the dbt Slack in [#tools-datafold](https://getdbt.slack.com/archives/C03D25A92UU) for advice and support
-
# Supported databases
| Database | Status | Connection string |
|---------------|-------------------------------------------------------------------------------------------------------------------------------------|--------|
-| PostgreSQL >=10 | 💚 | `postgresql://:@:5432/` |
-| MySQL | 💚 | `mysql://:@:5432/` |
-| Snowflake | 💚 | `"snowflake://[:]@//?warehouse=&role=[&authenticator=externalbrowser]"` |
-| BigQuery | 💚 | `bigquery:///` |
-| Redshift | 💚 | `redshift://:@:5439/` |
-| Oracle | 💛 | `oracle://:@/database` |
-| Presto | 💛 | `presto://:@:8080/` |
-| Databricks | 💛 | `databricks://:@//` |
-| Trino | 💛 | `trino://:@:8080/` |
-| Clickhouse | 💛 | `clickhouse://:@:9000/` |
-| Vertica | 💛 | `vertica://:@:5433/` |
-| DuckDB | 💛 | |
+| PostgreSQL >=10 | 🟢 | `postgresql://:@:5432/` |
+| MySQL | 🟢 | `mysql://:@:5432/` |
+| Snowflake | 🟢 | `"snowflake://[:]@//?warehouse=&role=[&authenticator=externalbrowser]"` |
+| BigQuery | 🟢 | `bigquery:///` |
+| Redshift | 🟢 | `redshift://:@:5439/` |
+| Oracle | 🟡 | `oracle://:@/database` |
+| Presto | 🟡 | `presto://:@:8080/` |
+| Databricks | 🟡 | `databricks://:@//` |
+| Trino | 🟡 | `trino://:@:8080/` |
+| Clickhouse | 🟡 | `clickhouse://:@:9000/` |
+| Vertica | 🟡 | `vertica://:@:5433/` |
+| DuckDB | 🟡 | |
| ElasticSearch | 📝 | |
| Planetscale | 📝 | |
| Pinot | 📝 | |
@@ -105,8 +116,8 @@ Reach out on the dbt Slack in [#tools-datafold](https://getdbt.slack.com/archive
| Kafka | 📝 | |
| SQLite | 📝 | |
-* 💚: Implemented and thoroughly tested.
-* 💛: Implemented, but not thoroughly tested yet.
+* 🟢: Implemented and thoroughly tested.
+* 🟡: Implemented, but not thoroughly tested yet.
* ⏳: Implementation in progress.
* 📝: Implementation planned. Contributions welcome.
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