# Apache Spark vs Rivery

**Leader by vioscaleAI score:** Rivery

| Attribute | Apache Spark | Rivery |
|---|---|---|
| **vioscaleAI score** | 51.9 (34% (low)) | 78.6 (74% (medium)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 8,896 | - |
| adoption.github_stars | 44,188 | - |
| content.faq | `[{"answer":"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. It is indexed under Data Engineering Tools.","source":"https://spark.apache.org","question":"What is Apache Spark?","confidence":0.6},{"answer":"Apache Spark is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://spark.apache.org","question":"Is Apache Spark free to use?","confidence":0.6},{"answer":"Apache Spark supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://spark.apache.org","question":"What platforms does Apache Spark support?","confidence":0.6},{"answer":"Yes. Apache Spark can be deployed on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://spark.apache.org","question":"Can Apache Spark be self-hosted?","confidence":0.6},{"answer":"We have confirmed 5 integrations for Apache Spark, including Hadoop, HDFS, YARN, Kubernetes and Docker. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://spark.apache.org","question":"What does Apache Spark integrate with?","confidence":0.6},{"answer":"Yes. Apache Spark is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/apache/spark","question":"Is Apache Spark open source?","confidence":0.95}]` | `[{"answer":"Cloud ELT platform for building end-to-end data pipelines with data ingestion, transformation, orchestration, reverse ETL, and CDC replication. Supports no-code and custom Python code for analytics and AI use cases. It is indexed under Data Engineering Tools.","source":"https://rivery.io","question":"What is Rivery?","confidence":0.6},{"answer":"Rivery does not publish its prices. Pricing is quoted on request, across 4 plans (Base, Professional, Pro Plus and Enterprise), so the figure depends on your seat count and requirements. We record this as a pricing-transparency signal rather than guessing a number. Pricing changes often, so verify at source before relying on it.","source":"https://rivery.io","question":"How much does Rivery cost?","confidence":0.6},{"answer":"We have confirmed browser-based access to Rivery. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://rivery.io","question":"What platforms does Rivery support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Rivery, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://rivery.io","question":"Can Rivery be self-hosted?","confidence":0.6},{"answer":"We have confirmed 9 integrations for Rivery, including Salesforce, HubSpot, Slack, Tableau, Snowflake, BigQuery, Amazon Redshift and Azure Synapse Analytics, plus 1 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://rivery.io","question":"What does Rivery integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2 for Rivery. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Rivery not holding them. Always confirm compliance directly before you rely on it.","source":"https://rivery.io","question":"What security certifications does Rivery have?","confidence":0.6}]` |
| deployment.options | `{"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | A data processing framework offering high-level APIs across multiple programming languages and integrated tools for SQL processing, machine learning, graph analysis, and real-time stream processing. | Rivery is a SaaS ELT platform that enables users to extract data from multiple sources (apps, databases, APIs) and load it into data warehouses with SQL or Python transformations. It includes reverse ETL capabilities to push processed data back into business applications. |
| features.capabilities | `{"role":"engine","paradigm":"both","self_hosted_oss":true,"distributed_executor":true}` | `{"cdc":true,"role":"elt","paradigm":"both","data_quality":true,"elt_pushdown":true,"python_first":true,"managed_cloud":true,"connector_count":"200+","incremental_runs":true,"reverse_etl_addon":true,"custom_connector_sdk":true,"self_hosted_available":false}` |
| integrations.count | 5 | 200 |
| integrations.list | `[{"name":"Hadoop"},{"name":"HDFS"},{"name":"YARN"},{"name":"Kubernetes"},{"name":"Docker"}]` | `[{"name":"Salesforce"},{"name":"HubSpot"},{"name":"Slack"},{"name":"Tableau"},{"name":"Snowflake"},{"name":"BigQuery"},{"name":"Amazon Redshift"},{"name":"Azure Synapse Analytics"},{"name":"Databricks"},{"name":"NetSuite","native":true,"category":"erp","direction":"inbound"},{"name":"dbt","native":true,"category":"transformation","direction":"bidirectional"},{"name":"Airflow","native":true,"category":"orchestration","direction":"bidirectional"}]` |
| language.primary | Scala | - |
| license.spdx | Apache-2.0 | - |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true}` | `{"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":false,"name":"Starter","summary":"$0.75 per RPU (PAYG), lower rate with annual commitment","features":["Basic ETL functionality","Unlimited users","Orchestration workflows"],"components":[{"per":{"qty":1,"unit":"RPU"},"kind":"metered","amount":0.75,"currency":"USD"}],"description":"For smaller businesses with smaller data volumes","contactSales":false},{"free":false,"name":"Professional","summary":"$1.20 per RPU (PAYG or annual)","features":["Advanced transformation capabilities","Unlimited users","Multiple workflows"],"components":[{"per":{"qty":1,"unit":"RPU"},"kind":"metered","amount":1.2,"currency":"USD"}],"description":"For fast-growing organizations needing advanced transformation capabilities","contactSales":false},{"free":false,"name":"Enterprise","summary":"Custom pricing","features":["Unlimited users, environments, workspaces","SSO, VPN","Built-for-you connectors","Dedicated solutions engineers"],"description":"For advanced data teams handling large data loads, migrations, strict security needs","contactSales":true}],"addOns":[{"name":"High Sync Frequency"}],"summary":"From $0.75 per RPU. Usage-based pricing (100MB data = 1 RPU). Free tier available. Annual and pay-as-you-go options.","currency":"USD","freeTier":true,"sourceUrl":"https://rivery.io/blog/rivery-unlimited-pricing/","retrievedAt":"2026-10-06T22:12:35.460Z","startingPrice":{"unit":"RPU","amount":0.75,"currency":"USD"},"billingPeriods":["month","year"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | freemium |
| pricing.price_level | free | low |
| pricing.starting_price | - | `{"amount":0.75,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| reliability.sla_pct | - | 99 |
| reliability.status_page | - | yes |
| security.certifications | - | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"},{"name":"ISO/IEC 27001","level":"2013","status":"active"},{"name":"HIPAA","status":"active"},{"name":"GDPR","status":"active"}]` |
| security.disclosure_policy | yes | - |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 5.6 | - |
| security.soc2 | - | yes |
| security.trust_center | - | https://rivery.io/product/security-policy/ |
| security.vulnerabilities | `{"count":9,"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 | Rivery |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Processing engine | 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: vioscaleAI. Generated 2026-10-16T18:26:55.957Z. "-" = undocumented, not absent.*