Spreadsheets · head to head
Rowy vs Timeplus

Rowy
Spreadsheets
Spreadsheet interface for Google Cloud Firestore with cloud functions written in the browser
- From
- Free
- Rated
- -

Timeplus
Databases
Streaming SQL engine built on ClickHouse internals, shipping as one small binary
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Rowy every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.; Timeplus proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.
- They diverge on capability: Rowy covers Firestore backed grid, Timeplus covers Streaming SQL.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Rowy and Timeplus actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Rowy
- Firestore backed grid
- Browser authored cloud functions
- Typed columns
- Runs in your Google Cloud project
- Role based access
- Form view
- Open source
Only in Timeplus
- Streaming SQL
- Unified streaming and historical
- ClickHouse-based engine
- Single binary deployment
- External streams
- Materialised views
What people use each for
The jobs each tool is most often brought in to do.
Rowy
- A Firebase application that needs an internal admin interface without building onenot Timeplus
- Operations staff correcting production records in Firestore without developer involvementnot Timeplus
- Attaching a small transformation or notification function to a field change without a full deployment pipelinenot Timeplus
- A content team populating documents that a mobile application reads directly from Firestorenot Timeplus
Timeplus
- Real-time alerting on Kafka topics where standing up a Flink cluster is more work than the use case justifiesnot Rowy
- Fraud or anomaly detection that must join a live event stream against recent history in one querynot Rowy
- Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot Rowy
- A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot Rowy
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Rowy
- Every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.
- Firestore has no joins, so linking tables in the grid is a convenience layer rather than a relational feature and reports across collections still need a separate query.
- It is useful only to teams already on Firebase, so choosing it effectively locks the operational tooling to one cloud vendor.
- Query costs are billed by document read, and an unfiltered grid on a large collection can generate a bill that a spreadsheet user has no intuition for.
- Development activity has slowed relative to the broader category, so evaluate current maintenance before making it load bearing for internal operations.
Timeplus
- Proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.
- It is a young project against Apache Flink’s decade of production history, so the hiring pool, the connector library and the body of known failure modes are all much smaller.
- Inheriting ClickHouse internals also inherits ClickHouse constraints: memory-hungry queries, awkward updates and a SQL dialect that is not portable to other engines.
- Exactly-once semantics and state recovery guarantees are less battle-tested than Flink checkpointing, which matters if the pipeline moves money.
- Cloud pricing is by provisioned instance size rather than usage, so a bursty workload pays for peak capacity around the clock or has to be resized by hand.
Pricing, plan by plan
Rowy
Free- Open source self hostedFree
- No licence fee
- Deploys into your own Google Cloud project
- You pay Google Cloud for Firestore reads, writes and storage
Timeplus
Free- Timeplus ProtonFree
- Apache 2.0 licence
- Single node only
- Full streaming SQL engine
- Timeplus Cloud$199/month
- One to thirty-two CPUs
- 4 GB to 128 GB memory
- From 250 GB SSD storage
- Self-hosted or BYOC$undefined/year
- Multi-node clustering
- Kubernetes or bare metal
- Customisable compute and storage
Which should you pick?
Choose Rowy if
- You need firestore backed grid.
- You want to start without paying.
- You also want browser authored cloud functions.
Choose Timeplus if
- You need streaming sql.
- You want to start without paying.
- You work on Linux, macOS, Docker, Kubernetes, Web.
- You also want unified streaming and historical.
Questions people ask
- Is Rowy or Timeplus better?
- Neither clearly leads. Rowy starts at Free and Timeplus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Rowy or Timeplus?
- Rowy starts at Free and Timeplus at Free.
- Does Rowy or Timeplus run on more platforms?
- Rowy runs on Web. Timeplus runs on Linux, macOS, Docker, Kubernetes, Web.
- Can I use Rowy for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Rowy best used for?
- Rowy is most often used for a firebase application that needs an internal admin interface without building one, operations staff correcting production records in firestore without developer involvement, attaching a small transformation or notification function to a field change without a full deployment pipeline, a content team populating documents that a mobile application reads directly from firestore. Of those, a firebase application that needs an internal admin interface without building one and operations staff correcting production records in firestore without developer involvement are not what Timeplus is typically brought in for.
- What can Rowy do that Timeplus cannot?
- Rowy covers Firestore backed grid, Browser authored cloud functions, Typed columns, Runs in your Google Cloud project. Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment.
Answered from the vendors’ own pages
Rowy: Where is my data stored?
In your own Firestore instance inside your own Google Cloud project. Rowy does not hold a copy.
Timeplus: Is Timeplus open source?
The core engine, Timeplus Proton, is Apache 2.0. Timeplus Enterprise and Cloud are commercial.
Rowy: What does it cost to run?
No licence fee. You pay Google Cloud for Firestore reads, writes, storage and function invocations, and an open grid on a big collection reads a lot.
Timeplus: What is the difference from Flink?
Timeplus is one binary with SQL as the only interface; Flink is a JVM cluster with a Java and SQL API and far more operational surface.
Rowy: Can it do joins across collections?
Not really. Firestore does not support joins, and no interface layer can add them.
Timeplus: Can Proton run in production?
It can, but it is single-node only, so there is no high availability without the commercial edition.
Rowy: Is there a row limit?
Not from Rowy. The limits that bite are Firestore document size and per document write throughput.
Timeplus: How much is the cloud?
From 199 US dollars a month, sized by CPU and memory, with a fourteen day trial.
Rowy: Is it suitable if I am not on Firebase?
No. It is specifically a Firestore interface.
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