# Apache NiFi vs Matillion

**Leader by Vioscale score:** Apache NiFi

| Attribute | Apache NiFi | Matillion |
|---|---|---|
| **Vioscale score** | 67.8 (39% (low)) | 50.2 (39% (low)) |
| activity.commits_last_30d | 93 | - |
| adoption.github_stars | 6,208 | - |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | Apache NiFi is an open-source data orchestration platform that enables reliable, guaranteed-delivery processing and routing of data flows with complete tracking and provenance. It provides visual pipeline design, real-time configuration changes, and extensive integrations with enterprise systems, cloud services, and data platforms. | A data integration platform that helps data teams build and manage data pipelines more efficiently using cloud computing and AI automation, designed to accelerate data analytics and AI workflows at scale. |
| features.capabilities | `{"cdc":true,"role":"orchestrator","lineage":true,"paradigm":"both","data_quality":true,"elt_pushdown":false,"connector_count":"200+","self_hosted_oss":true}` | `{"cdc":true,"role":"elt","paradigm":"both","elt_pushdown":true,"managed_cloud":true,"incremental_runs":true}` |
| integrations.count | 200 | 4 |
| integrations.list | `[{"name":"Amazon S3"},{"name":"Amazon SQS"},{"name":"Amazon DynamoDB"},{"name":"Amazon Lambda"},{"name":"Amazon Kinesis"},{"name":"Amazon Polly"},{"name":"Amazon Transcribe"},{"name":"Amazon Translate"},{"name":"Amazon Textract"},{"name":"CloudWatch"},{"name":"Azure Blob Storage"},{"name":"Azure Data Lake Storage"},{"name":"Azure Event Hub"},{"name":"Azure Cosmos DB"},{"name":"Azure Data Explorer"},{"name":"Azure Queue Storage"},{"name":"Google Cloud Pub/Sub"},{"name":"Google BigQuery"},{"name":"Google Cloud Vision"},{"name":"Google Drive"},{"name":"Apache Kafka"},{"name":"Apache MQTT"},{"name":"Apache JMS"},{"name":"MongoDB"},{"name":"Elasticsearch"},{"name":"Redis"},{"name":"Splunk"},{"name":"Salesforce"},{"name":"Slack"},{"name":"HubSpot"},{"name":"Shopify"},{"name":"Zendesk"},{"name":"Workday"},{"name":"Box"},{"name":"Dropbox"},{"name":"SFTP"},{"name":"FTP"},{"name":"SMB"},{"name":"HTTP"},{"name":"IMAP"},{"name":"POP3"},{"name":"SMTP"},{"name":"Snowflake"},{"name":"BigQuery"},{"name":"MySQL"},{"name":"JDBC"},{"name":"Airtable"},{"name":"SNMP"},{"name":"Syslog"},{"name":"Iceberg"}]` | `[{"name":"Snowflake"},{"name":"Google BigQuery"},{"name":"Amazon Redshift"},{"name":"Microsoft Azure Synapse"}]` |
| language.primary | Java | - |
| license.spdx | Apache-2.0 | - |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"hqCountry":"GB","primaryMarkets":["GB","US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true,"linux":true,"windows":true}` | `{"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://nifi.apache.org","retrievedAt":"2026-08-13T23:04:43.895Z"}` | `{"type":"subscription","plans":[{"name":"Maia Foundation"},{"name":"Maia Team"},{"name":"Maia Context Engine"}],"summary":"Flexible and transparent pricing that matches your usage","currency":"USD","sourceUrl":"https://www.matillion.com","retrievedAt":"2026-08-03T14:25:43.548Z"}` |
| pricing.free_tier | yes | - |
| pricing.model | open_source | commercial |
| pricing.price_level | free | unknown |
| pricing.transparent | yes | yes |
| release.cadence_days | 40 | - |
| release.history | `[{"url":"https://github.com/apache/nifi/releases/tag/rel/nifi-2.11.0","date":"2026-08-03T08:51:21Z","type":"stable","version":"rel/nifi-2.11.0"},{"url":"https://github.com/apache/nifi/releases/tag/rel/nifi-2.10.0","date":"2026-06-23T11:05:48Z","type":"stable","version":"rel/nifi-2.10.0"}]` | - |
| reliability.status_page | - | yes |
| security.disclosure_policy | - | yes |
| security.scorecard | 7 | - |

## Capabilities (Data Engineering Tools)

| Capability | Apache NiFi | Matillion |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Orchestrator | ELT / ingestion |
| Processing paradigm | Batch + streaming | Batch + streaming |
| **Connectivity** |  |  |
| Connector count | 200+ | - |
| CDC / log-based replication | ✓ | ✓ |
| **Transformation** |  |  |
| In-warehouse transformation (push-down) | ✗ | ✓ |
| dbt-native orchestration | - | - |
| **Deployment** |  |  |
| Self-hosted / open-source available | ✓ | - |
| Managed cloud available | - | ✓ |
| **Governance** |  |  |
| Data lineage / asset catalog | ✓ | - |
| **Authoring** |  |  |
| Python-first authoring | - | - |
| **Execution** |  |  |
| Incremental / partition-aware runs | - | ✓ |
| **Quality** |  |  |
| Built-in data quality / tests | ✓ | - |
| **Scale** |  |  |
| Horizontal scale (distributed executor) | - | - |

*Source: Vioscale. Generated 2026-09-01T14:44:28.428Z. "-" = undocumented, not absent.*