
Nexla vs Informatica
Compare the two vendors across 20 categories, including use cases, core capabilities, reliability, support, costs, ease of use, productivity, and customer ratings.
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Nexla vs Informatica by the Numbers
Greater productivity for adding new connectors, data sources, data types
Faster time to new insights from weeks down to hours or less
Less maintenance, freeing up more time to innovate
Lower costs on staff, infrastructure, and vendors
Head-to-Head Comparison
Nexla continues to outperform Informatica. See the differences between the two platforms.
Supports loading Pinecone, Snowflake, Databricks, Google, OpenAI, and Cortex. Claire is only used to build IDMC pipelines using AI.
Can invoke 20+ LLMs, use multiple encoding, extract context from leading vector databases or directly from any sources, move results anywhere, including chatbots
Yes
Yes
Yes, but limited API integration
Yes
B2B Exchange (EDI, external data)
EDI, external data, B2B
ETL, ELT, CDC, and streaming, limited API integration
ELT/ETL/R-ETL, CDC, streaming, API integration, API proxy, (S)FTP, bring your own (BYO)
300+ connectors, including SaaS apps, data warehouses, lakes, Iceberg, databases, files, and streaming
500+ connectors for SaaS, apps, data warehouses, lakes, Iceberg, streaming, Webhooks, APIs, databases, files, unstructured docs, and more
One-way ETL, ELT, CDC, streaming, and limited reverse ETL
Bidirectional read/write
Real-time, any batch interval)
Real-time, any batch interval
Data mapped to internal structured formats
Any structured, semi, unstructured
No
Yes, on data fabric
No
Yes
Data quality, MDM, data governance, lineage, approval workflows, limited schema evolution, RBAC
Data validation and data quality, lineage approval workflows, schema evolution, RBAC
Multi-destination read/write
Multi-destination read/write
SaaS, private, self-hosted
SaaS, private, self-hosted
Custom connectors
HIGH (new connectors, data)
HIGH
MEDIUM (30-50% decrease in deployment costs)
MEDIUM (takes training)
HIGH (no-code, AI powered)
MEDIUM (mostly because it takes time to learn
HIGH (HIGH flexibility)
HIGH
HIGH
HIGH
HIGH
4 Reasons Why Leading Enterprises Choose Nexla over Informatica
Informatica Intelligent Data Management Cloud (IDMC) is a leading SaaS data integration platform across analytics, operations, and B2B integration. It’s added Informatica Claire to help improve data engineering productivity using AI. It’s also started to support generative AI (GenAI) RAG. It is enterprise-class, with leading data integration, data quality, and governance. But Claire, like some other platforms, uses AI to generate pipelines on Informatica’s existing technology. IDMC still only has limited unstructured data support and limited RAG support. Informatica still takes time to learn, and is expensive.
Companies have chosen Nexla over Informatica for new projects, and added Nexla to access and govern all their data, integrate faster, implement GenAI, and do it all up to 10x faster without coding, powered by AI.
- Support for any source or destination via APIs, and any data, in minutes
- Easily change destination formats
- Hundreds of pre-built connectors available out-of-the-box
- 3-8 hours for a new custom connector vs 1-3 months with others
- Use any integration style – ELT/ETL, R-ETL, streaming, (S)FTP, API integration and proxy, and more
- Support for real-time and batch
- Support multiple destinations
- Used for integration in AI, analytics, B2B, and operations projects
- Transparent pricing with 30-50% vendor cost savings vs Informatica
- Eliminates additional personnel and the associated infrastructure costs – up to 10X ROI from adopting Nexla
- All-in-one integration platform – no need to buy multiple products
- Committed to customer success with a 96% recommend rate
- 5-star support – – higher than Informatica
- Proven performance and scalability
- Trusted by top global brands like Carrier Global, DoorDash, Instacart, Johnson & Johnson, and LinkedIn

"Nexla has all the major integrations that you would ever want, and is very fast at creating custom integrations and connectors."
VP of Data, Analytics & Data Governance