Data Integration Software

Estuary vs Informatica

Compare Estuary and Informatica side-by-side. See feature differences and pricing in the Data Integration Software category.

Estuary

by Estuary

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Pricing: Developer free up to 10 GB a month and 2 connector instances; Cloud $0.50 per GB plus $100 a month per connector instance, billed monthly; Enterprise by quote.

Estuary is a managed ETL and data integration platform for data teams running CDC, batch and streaming pipelines into warehouses, lakes and Kafka.

5 /17 features Full profile

Informatica

by Salesforce

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Pricing: Quote only: consumption pricing in Informatica Pricing Units (IPUs), metered per service used. No-cost Cloud Data Integration signup; 30-day trial of Cloud Data Ingestion and Replication.

Informatica is a cloud data integration and data quality platform owned by Salesforce, for enterprises with hybrid data estates, priced by consumption on quote.

7 /17 features Full profile

Feature Comparison

Data Integration Software features side-by-side

Feature	Estuary 5/17 features	Informatica 7/17 features
Visual mapping and transformation designer Build source-to-target mappings with joins, lookups and expressions on a canvas.	No	No
Batch and real-time pipelines in one platform Scheduled bulk loads and event-driven or streaming flows are built and run in the same tool.	Yes	Yes
Secure agent for on-premise data sources A lightweight agent installed inside your network reaches databases and files behind the firewall.	No	Yes
ELT pushdown to the target database Transformations compile to SQL and run inside the warehouse or database instead of on the integration server.	No	Yes
Bulk ingestion wizard for many tables Load whole schemas or file folders into a lake or warehouse from one guided setup.	No	No
Parameterised reusable mappings Mappings take parameters and shared components so one design serves many pipelines.	No	Yes
In-pipeline validation and cleansing rules Validate, standardise and route bad records inside the pipeline before they land.	No	No
Reject handling and record replay Rejected rows go to an error table or queue where they can be fixed and replayed.	No	No
Central job monitoring console One console shows every job's status, duration and throughput with drill-down to logs.	Yes	No
Auto-scaling serverless runtime Compute is provisioned per job and scaled automatically rather than sized by the team.	Yes	Yes
Mainframe and SAP connectivity Connectors for mainframe files, SAP and other legacy systems, not only cloud databases.	No	No
Message broker and event stream connectors Read from and write to message brokers and event streams such as Kafka-compatible topics.	Yes	Yes
Semi-structured and document parsing Parse JSON, XML, logs and documents such as PDFs into structured rows inside the pipeline.	No	No
Pipeline-level lineage export Each job's sources and targets are captured as lineage and can be exported to a catalog.	No	No
Environment promotion with versioning Pipelines move from development to test to production with version history and rollback.	No	No
Natural-language pipeline drafting Describe a pipeline in plain language and receive a draft mapping to edit.	Yes	Yes
On-premise installation available The full platform can be installed on your own servers rather than only consumed as SaaS.	No	No
Overall Rating	No reviews yet	No reviews yet

Estuary 5/17 features

Visual mapping and transformation designer: No
Batch and real-time pipelines in one platform: Yes
Secure agent for on-premise data sources: No
ELT pushdown to the target database: No
Bulk ingestion wizard for many tables: No
Parameterised reusable mappings: No
In-pipeline validation and cleansing rules: No
Reject handling and record replay: No
Central job monitoring console: Yes
Auto-scaling serverless runtime: Yes
Mainframe and SAP connectivity: No
Message broker and event stream connectors: Yes
Semi-structured and document parsing: No
Pipeline-level lineage export: No
Environment promotion with versioning: No
Natural-language pipeline drafting: Yes
On-premise installation available: No

No reviews yet

Informatica 7/17 features

Visual mapping and transformation designer: No
Batch and real-time pipelines in one platform: Yes
Secure agent for on-premise data sources: Yes
ELT pushdown to the target database: Yes
Bulk ingestion wizard for many tables: No
Parameterised reusable mappings: Yes
In-pipeline validation and cleansing rules: No
Reject handling and record replay: No
Central job monitoring console: No
Auto-scaling serverless runtime: Yes
Mainframe and SAP connectivity: No
Message broker and event stream connectors: Yes
Semi-structured and document parsing: No
Pipeline-level lineage export: No
Environment promotion with versioning: No
Natural-language pipeline drafting: Yes
On-premise installation available: No

No reviews yet

Pricing

Estuary

Developer free up to 10 GB a month and 2 connector instances; Cloud $0.50 per GB plus $100 a month per connector instance, billed monthly; Enterprise by quote.

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Informatica

Quote only: consumption pricing in Informatica Pricing Units (IPUs), metered per service used. No-cost Cloud Data Integration signup; 30-day trial of Cloud Data Ingestion and Replication.

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