Hevo Data vs DBConvert Streams

Hevo Data is a managed, cloud-only no-code ELT platform that ingests data from SaaS apps and databases into a data warehouse in near real time.

DBConvert Streams is a self-hosted database-to-database migration and CDC tool with a built-in IDE.

Quick answer

Choose by job

Choose Hevo Data if

  • Your work is loading SaaS apps and databases into an analytics warehouse.
  • You want a no-code pipeline builder and infrastructure managed for you.
  • Your team is comfortable with SaaS data handling and a vendor cloud.
  • You need in-flight transformations (drag-drop or Python) before the warehouse.

Choose DBConvert Streams if

  • Your work is moving and synchronizing operational data, not analytics ingestion.
  • Self-hosting is part of the requirement — compliance, data residency, or cost.
  • Your stack centers on MySQL/MariaDB, PostgreSQL, files, or S3.
  • You want predictable license pricing, not usage-based event metering.

At a glance

Side-by-side facts

Aspect
Hevo Data
DBConvert Streams
Tool type
Managed no-code cloud ELT
Database IDE + migration + CDC
Primary use case
SaaS / DB → warehouse ingestion
Operational DB ↔ DB and DB ↔ files/S3 replication
Deployment
SaaS only (Hevo cloud)
Self-hosted (Desktop + Docker)
Source coverage
150+ connectors (SaaS-heavy)
MySQL/MariaDB, PostgreSQL, files, S3
Destinations
Warehouses (Snowflake, BigQuery, Redshift, Databricks)
MySQL/MariaDB, PostgreSQL, files, S3, Snowflake (coming soon)
Direct DB-to-DB write
No
Yes
Native log-based CDC (MySQL/PG)
Yes (warehouse-bound)
Native
Built-in IDE / SQL editor
No
Yes
Source/target data comparison
No
Yes
Files and S3 as endpoints
Source/staging only
First-class (CSV, JSONL, Parquet)
Pricing model
Events-based — usage tiers
License-based with evaluation tier

Where Hevo Data wins

Stand up a SaaS pipeline without writing code

Pre-built connectors with managed auth, automatic schema mapping, and drift handling. Onboarding a new source is configuration, not engineering time.

Hand operations to the vendor

No infrastructure to run. Hevo manages scaling, monitoring, alerting, and support as part of the subscription.

Land data in a warehouse in near real time

Streaming ingestion with low latency into Snowflake, BigQuery, Redshift, and Databricks — shaped around analytics delivery.

Transform data in flight

Drag-drop and Python transformations run inside the pipeline before the warehouse load, with auto schema evolution downstream.

Cover many SaaS sources from one place

150+ connectors across marketing, sales, finance, and product tools — the breadth a database-focused tool does not target.

Where DBConvert Streams wins

Keep data inside your environment

Self-contained desktop app or Docker distribution in your own VPC, on-prem, or laptop. Data and credentials never touch a vendor cloud.

Inspect data inside the same product that moves it

Browse schemas, run SQL, inspect ER diagrams alongside the replication. Hevo assumes a separate SQL client and the warehouse for inspection.

Write directly to the target database, no warehouse hop

CDC and Load mode write straight to the target — built for operational migration and homogeneous sync, not warehouse ingestion.

CDC happens as the source writes

MySQL binlog and PostgreSQL logical replication captured natively, with checkpointed state and resume — not bound to a warehouse destination.

Pay by license, not by event volume

Predictable cost. Pricing does not scale with events the way Hevo tiers do — for high-volume sync the gap can be significant.

Read and write files and S3 like a database

CSV, JSONL, and Parquet are real source and target types — not just an ingestion source feeding a warehouse.

Workflow

Replicate operational databases without routing the data through a SaaS pipeline

  1. 1Deploy DBConvert Streams as a desktop app or Docker distribution inside your own VPC, on-prem, or laptop.
  2. 2Add source and target connections (e.g., production MySQL and a PostgreSQL replica) — credentials never leave your environment.
  3. 3Run a Load-mode stream with table mapping and filters; the data flows directly between the two databases.
  4. 4Open the Compare tab and validate row counts and sample data on the target.
  5. 5Switch to CDC mode and monitor throughput, lag, and run history in Stream Monitor.

Hevo would route the same data through their cloud and into a warehouse. DBConvert Streams runs in your environment and writes directly into the target database.

Also supported

The same workflow runs for other source/target combinations:

  • PostgreSQL → MySQL/MariaDB (reverse direction, Load + CDC)
  • MySQL/MariaDB ↔ MySQL/MariaDB (homogeneous replication)
  • PostgreSQL ↔ PostgreSQL (homogeneous replication)
  • MySQL/PostgreSQL → files (CSV, JSONL, Parquet)
  • MySQL/PostgreSQL → S3-compatible storage
  • Files / S3 → MySQL or PostgreSQL

FAQ

Frequently asked questions

Is DBConvert Streams a Hevo Data replacement?

No. They solve different jobs.

  • Hevo Data — Managed no-code ELT for moving data from many sources into a data warehouse in near real time.
  • DBConvert Streams — Self-hosted database-to-database migration and CDC with a built-in IDE.

Teams loading Salesforce or Stripe into Snowflake pick Hevo. Teams replicating MySQL/PostgreSQL on their own infrastructure pick DBConvert Streams.

Can I self-host Hevo Data?

No. Hevo is cloud-only — there is no self-hosted distribution. If self-hosting is a hard requirement (compliance, data residency, cost control), DBConvert Streams is a fit: it ships as a self-contained desktop app and a Docker distribution.

Does DBConvert Streams have SaaS connectors like Hevo?

No. DBConvert Streams focuses on databases (MySQL/MariaDB, PostgreSQL), files, and S3-compatible storage as sources and targets. For SaaS-to-warehouse ingestion (Salesforce, Stripe, HubSpot, and similar), use Hevo or Airbyte.

Which is better for direct database replication (MySQL, PostgreSQL, files, S3)?

DBConvert Streams, for operational use cases.

  • Hevo Data — Can ingest from databases via CDC but always lands the data in a warehouse, cloud-only, with no direct DB-to-DB write.
  • DBConvert Streams — Native log-based CDC, direct DB-to-DB write, source/target comparison, and files/S3 as first-class endpoints — all self-hosted.

Use Hevo if the data ends in a warehouse and you want it fully managed. Use DBConvert Streams for direct operational replication you run yourself.

How does pricing compare?

Different models. Compare against your actual data volume and use case.

  • Hevo Data — Events-based usage tiers — cost scales with the number of events ingested per month and grows with volume.
  • DBConvert Streams — License-based with an evaluation tier (~500 MB Load, 48 hours CDC). Cost does not scale with event volume.

For high-volume sync, the gap can be significant; for small/medium SaaS pipelines, Hevo can be the simpler choice operationally.

When should I not use DBConvert Streams?

When your job is SaaS-to-warehouse ingestion, you need 150+ connectors, you want no-code in-flight transformations, or you want a fully managed pipeline with vendor support. In those cases Hevo (or Airbyte Cloud) is a better fit.

Ready to try DBConvert Streams?