# Apache Spark vs Hightouch

**Leader by Vioscale score:** Hightouch

| Attribute | Apache Spark | Hightouch |
|---|---|---|
| **Vioscale score** | 60.5 (38% (low)) | 71.5 (74% (medium)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 8,896 | - |
| adoption.github_stars | 43,882 | - |
| deployment.options | `{"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | Apache Spark is an open-source, multi-language distributed computing engine that unifies data engineering, data science, and machine learning workloads. It processes data at scale using batch or streaming paradigms, provides SQL query capabilities for analytics, and includes built-in libraries for machine learning and graph processing. | A customer data platform and marketing automation tool that enables teams to send data from their warehouse to any marketing platform in real-time, powered by AI decisioning for campaign optimization and audience targeting. |
| features.capabilities | `{"role":"engine","paradigm":"both","self_hosted_oss":true,"distributed_executor":true}` | `{"role":"reverse_etl","paradigm":"both","dbt_native":true,"elt_pushdown":true,"managed_cloud":true,"connector_count":"300+","self_hosted_oss":false,"incremental_runs":true}` |
| integrations.count | 5 | 300 |
| integrations.list | `[{"name":"Hadoop"},{"name":"HDFS"},{"name":"YARN"},{"name":"Kubernetes"},{"name":"Docker"}]` | `[{"name":"Acoustic"},{"name":"ActiveCampaign"},{"name":"Adobe Analytics"},{"name":"Adobe Campaign Classic"},{"name":"Adobe Experience Platform"},{"name":"Adobe Target"},{"name":"Airship"},{"name":"Airtable"},{"name":"Algolia"},{"name":"Amplitude"},{"name":"Anaplan"},{"name":"Apache Kafka"},{"name":"AppsFlyer"},{"name":"Asana"},{"name":"Attentive"},{"name":"Auth0"},{"name":"Awin"},{"name":"AWS Lambda"},{"name":"Azure Blob Storage"},{"name":"Azure Functions"},{"name":"BigCommerce"},{"name":"Bloomreach"},{"name":"Bluecore"},{"name":"Braze"},{"name":"Brevo"},{"name":"Campaign Monitor"},{"name":"Chargebee"},{"name":"ChartMogul"},{"name":"ChatGPT Ads"},{"name":"ChurnZero"},{"name":"ClickUp"},{"name":"Close"},{"name":"CockroachDB"},{"name":"Cordial"},{"name":"Courier"},{"name":"Criteo"},{"name":"Customer.io"},{"name":"Discord"},{"name":"Drift"},{"name":"Dropbox"},{"name":"DynamoDB"},{"name":"Elasticsearch"},{"name":"Eloqua"},{"name":"Emarsys"},{"name":"Epsilon Retail Media"},{"name":"Freshdesk"},{"name":"Freshsales"},{"name":"Front"},{"name":"FullStory"},{"name":"Gainsight"}]` |
| language.primary | Scala | - |
| license.spdx | Apache-2.0 | - |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"hqCountry":"US","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true}` | `{"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://spark.apache.org","retrievedAt":"2026-08-14T13:48:09.654Z"}` | `{"type":"usage","plans":[{"free":true,"name":"Basic Reverse ETL","summary":"Free tier","features":["Up to 2 active syncs","Unlimited destination count","Unlimited user seats"],"description":"Reverse ETL platform with limited active syncs","contactSales":false,"includedLimits":{"active_syncs":"2"}}],"addOns":[{"name":"Premium Extensions"}],"summary":"Usage-based pricing with free tier. Mix-and-match products based on actual usage.","currency":"USD","freeTier":true,"sourceUrl":"https://hightouch.com/pricing","retrievedAt":"2026-08-13T22:24:29.684Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | freemium |
| pricing.price_level | free | low |
| pricing.transparent | yes | yes |
| reliability.status_page | - | yes |
| security.disclosure_policy | yes | - |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 5.6 | - |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":7,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=maven&package_name=org.apache.spark%3Aspark-core_2.10&per_page=100","last_12m":1,"max_severity":"CRITICAL"}` | - |

## Capabilities (Data Engineering Tools)

| Capability | Apache Spark | Hightouch |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Processing engine | Reverse-ETL |
| Processing paradigm | Batch + streaming | Batch + streaming |
| **Connectivity** |  |  |
| Connector count | - | 300+ |
| 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 2026-09-01T16:59:39.961Z. "-" = undocumented, not absent.*