Informatica Intelligent Data Management Cloud

End-to-end data development platform over MaxCompute, EMR, and Hologres with visual and SQL-based task authoring, scheduled pipelines, data quality rules, data lineage, and a built-in business-glossary catalog

Serverless data integration platform with visual ETL authoring via Glue Studio, a Hive-compatible Data Catalog, automatic crawlers, DataBrew visual prep, and Glue Data Quality for declarative rule-based validation across Spark and Python jobs

Centralised access-control and governance layer over S3 data lakes — column, row, and cell-level permissions across Athena, Redshift Spectrum, EMR, and Glue, plus data-sharing between accounts

Managed SaaS-to-AWS data-integration — pre-built connectors for Salesforce, ServiceNow, Slack, Google Analytics, Jira, and 50+ others sync data on schedules or events into S3 / Redshift / Snowflake without custom pipelines

Data-governance and marketplace platform — data producers publish assets from Redshift, Glue, S3, and third-party sources; consumers discover, subscribe, and access with governed permissions and audit trails

Managed ETL and ELT service for data integration at scale with 100+ connectors, visual pipeline designer, mapping data flows, and triggers for event-driven orchestration

Unified data governance, discovery, and risk management platform with automatic classification, lineage across Azure, on-prem, SaaS, and multi-cloud sources, plus information protection, insider risk, and communication compliance modules spun out of Microsoft 365 Compliance

Managed Apache Iceberg catalog built into R2 buckets, exposing a standard Iceberg REST catalog for engines such as Spark, Snowflake and PyIceberg, with automatic compaction and snapshot expiration. Formerly R2 Data Catalog; GA since October 2026.

Unified governance layer for data, analytics, and AI assets across all Databricks workspaces with fine-grained access control, data lineage, audit logging, and cross-cloud federation

Declarative ETL framework (formerly Delta Live Tables) for streaming and batch pipelines, built on Apache Spark Declarative Pipelines — define tables in SQL or Python and Databricks manages dependencies, retries, data-quality expectations and observability.

Managed ingestion connectors that load data from databases (CDC), SaaS applications (e.g. Salesforce, ServiceNow, Google Analytics), files and streams into Unity Catalog tables, with incremental change tracking after the initial load.

Unified stream and batch data processing service running Apache Beam pipelines with autoscaling, exactly-once semantics, and native sinks to BigQuery and Cloud Storage

Intelligent data fabric and catalog that unifies distributed data across Cloud Storage, BigQuery, and third-party lakes with automatic discovery, quality scoring, data lineage, attribute-based access control, and generative AI-powered metadata enrichment

Fully managed enterprise data integration service built on open-source CDAP, with a visual drag-and-drop pipeline builder, 150+ pre-built connectors and transformations, and GitOps-friendly pipeline export for hybrid ETL across Google Cloud and third-party data sources

Bidirectional sync between a Salesforce org and Heroku Postgres — schema mapping UI, real-time triggers, and back-pressure handling for million-row syncs

Centralised metadata repository for OCI data assets — Object Storage buckets, Autonomous Database schemas, on-prem databases. Discovery, tagging, and lineage tracking for analytics governance.

Managed ETL / ELT service for building visual pipelines that move and transform data between OCI Object Storage, Autonomous Database, ADW, and external sources — with Spark-based execution, incremental loads, and DataOps CI/CD via version-controlled workspaces

Developer framework for building data applications in Python, Java, and Scala that run inside Snowflake

Managed data integration service built on Apache NiFi for batch and streaming movement of structured and unstructured data into Snowflake, deployable inside Snowflake (all clouds) or in the customer VPC (BYOC, AWS only).

Built-in governance and discovery layer for Snowflake and Apache Iceberg data — access policies, masking, tagging, classification, lineage, data-quality monitoring and an Iceberg REST catalogue for external engines.