Comparison

dlt vs Rivery

No clear leader: dlt (66.1) and Rivery (61.8) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
dlt66
Rivery62
Score
Vioscale score
dlt66 / 100low · 49%updating
Rivery62 / 100medium · 71%updating
Pricing
Free tier
dlt
Rivery
Model
Price level
dltlow
Riverylow
Transparent
dlt
Rivery
Integrations
Count
dlt28
Rivery200
Security
Disclosure policy
dlt
Rivery
Gdpr
dlt
Rivery
Soc2
dlt
Rivery
Reliability
Status page
dlt
Rivery
Adoption
Dependent repos
dlt23
Rivery
Github stars
Rivery
Activity
Commits last 30d
dlt52
Rivery
Release
Cadence days
dlt12
Rivery
History
Rivery
License
Spdx
Rivery
Language
Primary
Rivery
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.

Core
Tool role
dltELT / ingestion
RiveryELT / ingestion
Processing paradigm
dltBatch + streaming
RiveryBatch + streaming
Connectivity
Connector count
dlt5,000+
Rivery200+
CDC / log-based replication
dlt
Rivery
Transformation
In-warehouse transformation (push-down)
dlt
Rivery-
dbt-native orchestration
dlt-
Rivery-
Deployment
Self-hosted / open-source available
dlt
Rivery-
Managed cloud available
dlt
Rivery
Governance
Data lineage / asset catalog
dlt
Rivery-
Authoring
Python-first authoring
dlt
Rivery
Execution
Incremental / partition-aware runs
dlt
Rivery-
Quality
Built-in data quality / tests
dlt
Rivery-
Scale
Horizontal scale (distributed executor)
dlt-
Rivery-

What each one is

The product in its own terms, so the numbers below have context.

dlt

A hosted service combining the open-source dlt Python library with managed infrastructure, observability, data quality testing, and team collaboration features for building and running data pipelines.

Independently observed

Rivery

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.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

dlt

from $0.80/moHybridFree tier14-day trial

From $1,190/month with 500 included credits. Free open-source tier. 14-day free trial with $30 credits.

  • dltFree
    • Apache 2.0 open-source license
    • Code-first ingestion library
    • Reliable ingestion and loading
    • Limited verified OSS connectors
    • AI help and community support
    • +2 more
  • dltHub$1,190/month base + $0.80–$1.00/credit for usage beyond 500 credits/month. 5% discount on annual commitment.
    • Everything in dlt, plus:
    • Managed runtime
    • Hosted Marimo notebooks
    • AI Workbench (Claude Code, Codex, Cursor)
    • Data quality metrics and checks
    • +6 more
  • EnterpriseContact sales
    • Custom credits and volume pricing
    • Enterprise security and governance controls
    • Role-based access control (RBAC) and audit logs
    • SLA and tailored support options
    • Custom onboarding and architecture guidance
as of verify ↗

Rivery

Usage-basedFree tier

Usage-based BDU credit model starting at $0.9 per credit. Free tier available with Base and Professional tiers. Four editions scaling from entry-level to Enterprise.

  • BaseFree
    • Two Users
    • One Environment
    • Unlimited Connections
    • Workflow Orchestration
    • Built-in Version Control
    • +5 more
  • ProfessionalFree
    • Unlimited Users & RBAC
    • Two Environments
    • Run Python Code
    • Built-in CI/CD
    • Rivery API & CLI Access
    • +2 more
  • Pro PlusContact sales
    • All Professional features
    • Three Environments
    • Single Sign-On & SCIM
    • PrivateLink
    • Reverse SSH API
    • +1 more
  • EnterpriseContact sales
    • All Pro Plus features
    • Unlimited Environments
    • VPN Tunnels
    • Oracle CDC
    • Enterprise SLA
    • +1 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
dlt
Rivery
CLI
dlt
Rivery
Deployment
Cloud / SaaS
dlt
Rivery
Self-hosted
dlt
Rivery
Hybrid
dlt
Rivery

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (5)
  • Salesforce
  • HubSpot
  • Snowflake
  • Databricks
  • BigQuery

dlt

28 total - 23 not shared
  • PostgreSQL
  • MotherDuck
  • DuckDB
  • SQLite
  • MySQL
  • Amazon S3
  • Google Cloud Storage
  • Microsoft Azure
  • SFTP
  • Parquet
  • Apache Delta
  • Apache Iceberg
  • DuckLake
  • Pydantic Logfire
  • Arize
  • Langfuse
  • LangChain
  • OpenAI
  • Apache Airflow
  • Dagster
  • AWS Lambda
  • Marimo
  • Hugging Face
Independently observed

Rivery

9 total - 4 not shared
  • Slack
  • Tableau
  • Amazon Redshift
  • Azure Synapse Analytics
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.