Audyense·
Side-by-side record

Dremio vs. Rivery

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Dremio starts at Free per seat, versus Rivery at $1. Rivery carries the higher aggregate rating (4.7/5 vs 4.6/5).

Full comparison

Dremiofrom Free
Riveryfrom $1 per BDU credit
Audyense Score78ASStrong61AS*Fair
PositioningA unified lakehouse platform that lets teams query and analyze data across S3, Snowflake, Redshift, and dozens of other sources directly on open formats like Apache Iceberg.Usage-based ETL, ELT, orchestration, and reverse ETL for modern data teams.
Free tierYesNo
DeploymentCloud / SaaS, On-premise, HybridCloud / SaaS
Best fitSMB, Mid-market, EnterpriseSMB, Mid-market, Enterprise
Pricing plans
  • Community EditionFree
  • Dremio Cloud$0
  • Dremio EnterpriseCustom pricing
  • Base$1
  • ProfessionalCustom pricing
  • Pro PlusCustom pricing
  • EnterpriseCustom pricing
Workflow automationNoAutomation is scoped to query acceleration and AI-agent query assistance, not general workflow automation.
AI featuresYesAI Semantic Layer and built-in AI Agent, plus MCP integration for Claude/ChatGPT/Gemini.
Public APIYesDocumented ODBC/JDBC/Arrow Flight interfaces and a Dremio CLI/MCP integration.
Self-hosting / on-premYesCommunity Edition and Dremio Enterprise both support self-hosted deployment.
Pre-built connectorsYes20+ named native connectors plus ODBC/JDBC/Arrow Flight generic connectivity.
Data pipelines / ETLPartialPositioned to reduce/eliminate traditional ETL via federated live querying rather than being a pipeline/orchestration tool.
Scheduling & triggersNoNo evidence of job/workflow scheduling distinct from query execution and Reflections refresh.
Data governance & lineageYesFine-grained RBAC down to rows/columns, Open Catalog governance, plus compliance certifications.
Role-based access controlYesRole-based access control with row/column-level granularity.
API and CLIYesAvailable on Professional and above.
ETL and ELTYes
SSO and SCIMYesAvailable on Pro Plus and above.
Reverse ETLYes
Private networkingYesPrivateLink, VPN, and reverse SSH vary by plan.
Workflow orchestrationYes
Python transformationsYes
Custom data sourcesYes
Integrations verified23+
Aggregate rating4.6 · 69 reviews4.7 · 120 reviews
Integrations
Amazon S3Azure Data Lake StorageGoogle Cloud StorageAWS Glue Data CatalogApache HiveApache Iceberg REST Catalog+17 more
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksSalesforceHubSpot+9 more
Security & compliance
SOC 2 Type IIISO/IEC 27001:2022HIPAAGDPR+1 more
SOC 2 Type IIHIPAA
Pros
  • Federated SQL queries across many disparate data sources without moving or duplicating data
  • Reflections acceleration feature delivers sub-second BI query response times
  • Rated highly for ease of use and fast, direct data exploration by both technical and non-technical users
  • Strong data lake / lakehouse integration and cloud processing scores from reviewers
  • One product covers extraction, transformation, orchestration, and reverse ETL.
  • No per-connector or per-user charge on most plans.
  • Python, custom sources, API/CLI, branching, dependencies, and built-in versioning support engineering workflows.
  • PrivateLink, VPN, SSO, SCIM, audit logs, and custom file zones cover serious governance needs.
Cons
  • Some users report occasional out-of-memory (OOM) errors without clear diagnostic explanations
  • High resource demands and difficulty maintaining the environment at scale
  • Steep learning curve for advanced features despite a low barrier for basic querying
  • Review volume on major platforms is relatively thin for a company of Dremio's market position
  • BDU/RPU pricing requires workload measurement rather than simple seat budgeting.
  • Base is limited to two users and one environment; larger teams need higher tiers.
  • Enterprise security and connectivity features are not available at the entry level.
  • Less ecosystem maturity and review volume than the largest data-integration incumbents.
Visit Dremio ↗Visit Rivery ↗