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Databases · head to head

ClickHouse vs Fivetran HVR

ClickHouse logo

ClickHouse

Databases

Fast open-source column-oriented database for real-time analytics

From
Free
Rated
-
Full reviewWebsite
Fivetran HVR logo

Fivetran HVR

Databases

Log-based change data capture for database replication and synchronization

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only ClickHouse has a free tier, so it costs nothing to try first.
  • Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; Fivetran HVR pricing not published separately; part of Fivetran's usage model
  • They diverge on capability: ClickHouse covers Column-oriented Storage, Fivetran HVR covers Log-based change capture.

Where they differ

Only the attributes on which ClickHouse and Fivetran HVR actually diverge.

Attributes where ClickHouse and Fivetran HVR differ
AttributeClickHouseFivetran HVR
Starting priceFreeOn request
Pricing modelUnknownUsage-based, integrated with Fivetran billing
Free tierYesNo
PlatformsLinux, macOS, Windows (via Docker)Data Warehouse, Data Lake, Operational Databases
Founded20212012

Identical on both: user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in ClickHouse

  • Column-oriented Storage
  • Real-time Analytics
  • SQL Support
  • Linear Scalability
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • Kafka

Only in Fivetran HVR

  • Log-based change capture
  • Real-time replication
  • Schema evolution handling
  • Multi-table consistency
  • Zero-impact monitoring
  • Fivetran integration

What people use each for

The jobs each tool is most often brought in to do.

ClickHouse

  • Business intelligencenot Fivetran HVR
  • Data warehousingnot Fivetran HVR
  • Real-time analyticsnot Fivetran HVR
  • Reportingnot Fivetran HVR
  • Machine learningnot Fivetran HVR

Fivetran HVR

  • Real-time database replication to data warehousesnot ClickHouse
  • Maintaining operational copies for analyticsnot ClickHouse
  • Disaster recovery and business continuitynot ClickHouse
  • Feeding AI systems with fresh governed datanot ClickHouse

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

ClickHouse

  • Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
  • Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
  • Experimental vector search support, not production-ready for vector operations
  • Different query syntax from standard SQL requiring migration planning
  • Limited JOIN capabilities compared to traditional relational databases
  • Migration complexity with 2-4 weeks estimated for data type mapping and query translation

Fivetran HVR

  • Pricing not published separately; part of Fivetran's usage model
  • Requires Fivetran relationship for implementation
  • Limited standalone documentation and community resources
  • May be overkill for simple batch replication needs
  • Competitive offerings provide more transparent per-connector pricing

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Fivetran HVR

On request

No published plan breakdown. See the Fivetran HVR review.

Which should you pick?

Choose ClickHouse if

  • You need column-oriented storage.
  • You want to start without paying.
  • You work on Linux, macOS, Windows (via Docker).
  • You also want real-time analytics.
ClickHouse review

Choose Fivetran HVR if

  • You need log-based change capture.
  • You work on Data Warehouse, Data Lake, Operational Databases.
  • You also want real-time replication.
Fivetran HVR review

Questions people ask

Is ClickHouse or Fivetran HVR better?
Neither clearly leads. ClickHouse starts at Free and Fivetran HVR at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or Fivetran HVR?
ClickHouse has a free tier; the other does not. Paid plans start at Free for ClickHouse and On request for Fivetran HVR.
Does ClickHouse or Fivetran HVR run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Fivetran HVR runs on Data Warehouse, Data Lake, Operational Databases.
Can I use ClickHouse for free?
Yes. ClickHouse has a free tier, so you can try it without paying. Fivetran HVR starts at On request.
What is ClickHouse best used for?
ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Fivetran HVR is typically brought in for.
What can ClickHouse do that Fivetran HVR cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Fivetran HVR covers Log-based change capture, Real-time replication, Schema evolution handling, Multi-table consistency.

Answered from the vendors’ own pages

ClickHouse: What is ClickHouse best used for?

ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.

Source
Fivetran HVR: What databases does Fivetran HVR support?

HVR supports major databases including Oracle, SQL Server, PostgreSQL, MySQL, and others that emit transaction logs.

Source
ClickHouse: Does ClickHouse support transactions?

ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.

Source
Fivetran HVR: Is HVR part of standard Fivetran pricing?

Yes, HVR is integrated into Fivetran's usage-based pricing model with standard per-row-synced and transformation costs.

Source
ClickHouse: How does ClickHouse compare to PostgreSQL?

ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.

Source
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