ETL Tools

Dataddo vs Rivery

Compare Dataddo and Rivery side-by-side. See feature differences and pricing in the ETL Tools category.

by Dataddo

No reviews yet

Pricing: Data to AI $13.99 a seat a month, 3 seats minimum; Data Anywhere $129 a month for 3 flows; about 25% less billed annually; Enterprise by quote.

Dataddo is a no-code data integration and ETL platform for analytics and data teams, sold per seat or by data flow, with optional self-hosted Data Planes.

14 /16 features Full profile

Rivery

by Boomi

No reviews yet

Pricing: Base is pay as you go at $0.9 per BDU credit, billed monthly; Professional, Pro Plus and Enterprise are priced on request. Trial: 14 days or 1,000 credits.

Rivery is an ELT and data pipeline platform owned by Boomi, for data teams that want ingestion, CDC replication, transformation and reverse ETL in one service.

11 /16 features Full profile

Feature Comparison

ETL Tools features side-by-side

Feature	Dataddo 14/16 features	Rivery 11/16 features
Managed source connector library A vendor-maintained catalog of prebuilt connectors to SaaS apps, databases and files, added without writing code.	Yes	Yes
Custom connector builder A low-code builder or SDK to create a connector for a source the library does not cover.	Yes	Yes
Incremental loads after the first sync Later runs pull only new or changed rows instead of refreshing the whole table.	Yes	Yes
CDC mode for database sources Database sources can be read from their transaction log so changes arrive without repeated full queries.	Yes	Yes
Automatic schema drift handling New columns and type changes at the source are propagated to the destination without breaking the pipeline.	Yes	Yes
Sync frequency down to minutes Pipelines can run on a schedule of fifteen minutes or faster, not only hourly or daily.	Yes	Yes
Column selection and exclusion Choose which columns to load or block so unneeded or sensitive fields never reach the destination.	Yes	Yes
In-flight column hashing Hash or mask a column during the load so personal data lands in the warehouse unreadable.	Yes	No
Post-load transformations in the warehouse Run SQL or model jobs in the destination automatically after each load completes.	No	Yes
Data lake destinations in open formats Load into object storage as Iceberg, Delta or Parquet tables, not only into a warehouse.	Yes	Yes
Per-sync run logs and row counts Every run records rows read and written, duration and errors in a log the team can inspect.	Yes	No
Sync failure notifications A failed or delayed sync raises a notification through email, Slack or a webhook.	Yes	Yes
Single-table resync Reload one table from scratch without rebuilding or re-syncing the whole connection.	Yes	No
Pipelines managed by API or Terraform Connections and schedules can be created and versioned through a public API or a Terraform provider.	Yes	Yes
Self-hosted data plane option Run the pipeline workers inside your own cloud or network while the vendor hosts the control plane.	Yes	No
Open source ETL engine The core engine is published under an open source licence and can be run without a subscription.	No	No
Overall Rating	No reviews yet	No reviews yet

Dataddo 14/16 features

Managed source connector library: Yes
Custom connector builder: Yes
Incremental loads after the first sync: Yes
CDC mode for database sources: Yes
Automatic schema drift handling: Yes
Sync frequency down to minutes: Yes
Column selection and exclusion: Yes
In-flight column hashing: Yes
Post-load transformations in the warehouse: No
Data lake destinations in open formats: Yes
Per-sync run logs and row counts: Yes
Sync failure notifications: Yes
Single-table resync: Yes
Pipelines managed by API or Terraform: Yes
Self-hosted data plane option: Yes
Open source ETL engine: No

No reviews yet

Rivery 11/16 features

Managed source connector library: Yes
Custom connector builder: Yes
Incremental loads after the first sync: Yes
CDC mode for database sources: Yes
Automatic schema drift handling: Yes
Sync frequency down to minutes: Yes
Column selection and exclusion: Yes
In-flight column hashing: No
Post-load transformations in the warehouse: Yes
Data lake destinations in open formats: Yes
Per-sync run logs and row counts: No
Sync failure notifications: Yes
Single-table resync: No
Pipelines managed by API or Terraform: Yes
Self-hosted data plane option: No
Open source ETL engine: No

No reviews yet

Pricing

Dataddo

Data to AI $13.99 a seat a month, 3 seats minimum; Data Anywhere $129 a month for 3 flows; about 25% less billed annually; Enterprise by quote.

See all plans

Rivery

Base is pay as you go at $0.9 per BDU credit, billed monthly; Professional, Pro Plus and Enterprise are priced on request. Trial: 14 days or 1,000 credits.

See all plans

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