Fivetran vs Informatica: cloud ELT or enterprise data management?
Data Integration
Fivetran vs Informatica: cloud ELT or enterprise data management?
Modern cloud ELT vs. enterprise data management suite. Neither publishes clear pricing. Both load into a warehouse.
What Fivetran and Informatica do as data platforms
Both load data into warehouses. Fivetran is a modern cloud ELT service. Informatica has been doing enterprise data management since 1993.
Fivetran
Fivetran is a fully managed cloud ELT platform founded in 2012 by data scientists who wanted automated data pipelines. The platform connects 300+ data sources to cloud warehouses with minimal configuration, handling extraction, schema management, and loading as a service. Recent acquisitions include HVR for real-time CDC and Census for reverse ETL, expanding beyond its core batch ELT roots.
Informatica
Enterprise data management has been Informatica's business since 1993, when the company launched PowerCenter. The product line now spans integration, data quality, governance, and master data management across cloud and on-premises environments. Salesforce signed a definitive agreement to acquire Informatica in May 2025, pulling the platform into the Data Cloud and Einstein AI ecosystem.
Fivetran vs Informatica feature and pricing comparison
How they compare on connectors, pricing, latency, scalability, and the deployment choices that affect your data stack.
Fivetran
Informatica
Primary approach
Fully managed cloud ELT with batch-only SaaS and optional HVR
Enterprise data management suite: integration, quality, governance, MDM
Connector count
500+ total (300+ standard, 450+ Lite API connectors)
300+ enterprise connectors including on-premises and mainframe
Pricing model
Monthly Active Rows (MAR). Per-connector billing since March 2025.
Opaque 'Informatica Pricing Units' based on compute hours. Quote required.
Set up time
15 min Standard, 1 min Business Critical (2x+ cost). HVR for real-time.
Sub-second CDC via PowerExchange. Streaming and batch supported.
Minimum sync latency
Cloud SaaS, hybrid, self-hosted HVR (separate product, ~30 sources)
On-premises, private cloud, public cloud with managed data plane
Deployment options
dbt Core, dbt Cloud, Coalesce. No in-flight transforms.
Visual ETL via PowerCenter, pushdown optimization, dbt support
Built-in data quality
No. Relies on downstream warehouse tools for data quality.
No. Relies on downstream warehouse tools for data quality.
Learning curve
Low to moderate for SaaS. HVR requires more operational expertise.
Steep. Requires trained data engineers and weeks of onboarding.
Self-serve signup
Free tier available. Paid plans require sales for pricing details.
No self-serve. Enterprise sales cycle required for all plans.
Company status
Independent, VC-backed. Founded 2012.
Acquired by Salesforce (2025). Founded 1993.
Strengths and limitations
Fivetran
Informatica
Managed infrastructure, minimal setup
Connect a source, pick a warehouse, and data loads automatically. Fivetran handles schema management, extraction, and loading as a service. No servers to run, no upgrades to manage.
Broadest enterprise data management suite
Integration, data quality, governance, and master data management in one platform. When your needs grow beyond data movement, the tooling is already there without adding vendors.
300+ maintained connectors with schema evolution
Fivetran builds and maintains its standard connectors, keeping them current as source APIs change. Automatic schema evolution handles structural changes without manual intervention.
Sub-second latency with native CDC
PowerExchange CDC delivers sub-second replication. Serverless compute and pipeline partitioning handle large-scale deployments without the latency ceilings of batch-only tools.
Strong transformation ecosystem
Native support for dbt Core, dbt Cloud, and Coalesce. Transformation workflows trigger automatically after data loads, giving data teams a complete extract-load-transform pipeline.
Private cloud and hybrid deployment
A managed private data plane gives SaaS convenience with data residency control. Regulated industries with strict compliance requirements get deployment flexibility that cloud-only tools cannot match.
Unpredictable MAR-based pricing
MARs are based on Fivetran's internal row representation, not yours. Non-relational data gets normalized into extra rows that inflate costs. Per-connector billing since 2025 removed volume discounts.
Opaque pricing with compute-unit billing
'Informatica Pricing Units' vary by workload type with separate compute-hour and row-based CDC charges. Every plan requires a sales quote. Expect costs significantly higher than most alternatives.
Batch-only on cloud SaaS
Standard latency is 15 minutes. Business Critical drops to 1 minute at 2x+ cost. Real-time streaming requires self-hosted HVR, a separate product with about 30 supported source and target locations.
Steep learning curve
Even Informatica Cloud requires weeks of onboarding. Multiple products with separate interfaces and deployment models add complexity. Teams without prior experience need formal training.
Our Suggestions
Choose Fivetran if you need managed cloud ELT with minimal setup and maintained connectors for warehouse loading.
Choose Informatica if you need enterprise-scale data management with governance, data quality, sub-second CDC, and private cloud deployment.
Neither one of them feels right to you?
For teams that need tools sharing customer data without a warehouse or data engineering team, Oneprofile is a simpler, more transparent choice with published pricing and self-serve signup.
How Oneprofile fills that gap
Direct tool-to-tool sync with published pricing, self-serve signup, and no warehouse prerequisite. Most teams are live in minutes, not months.
Difference 1
No warehouse required
Fivetran and Informatica both load data into warehouses. Getting that data into your CRM, marketing platform, or support tool requires building a second pipeline with reverse ETL. Oneprofile skips the warehouse entirely. Connect your database or any SaaS tool, map fields to a destination, and data syncs on the schedule you set. No warehouse compute costs, no dbt models, no reverse ETL step.


Difference 2
Published pricing at every tier
Fivetran counts rows using its own internal representation, inflating costs for non-relational data. Informatica charges by compute units and requires a sales quote for every plan. Oneprofile publishes every tier on the website: free to start, $100/mo Team, $2,000/mo Enterprise. Pay through Stripe checkout. No consumption credits, no compute units, no surprise invoices.
Difference 3
Bidirectional sync by default
Both Fivetran and Informatica move data in one direction: from sources into warehouses. Getting data back to the tools your team uses daily requires a separate reverse ETL pipeline. Every Oneprofile connector reads and writes. Sync your database to HubSpot and HubSpot back to your database with the same connector.

Is Fivetran or Informatica better for small teams?
How does fivetran vs informatica pricing compare?
Does Fivetran support real-time data streaming?
Can I use Fivetran or Informatica without a data warehouse?
What does the Salesforce acquisition mean for Informatica?

