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Spreadsheets · head to head

Mathesar vs Timeplus

Mathesar logo

Mathesar

Spreadsheets

Spreadsheet style interface that edits an existing PostgreSQL database directly, with no schema of its own

From
Free
Rated
-
Full reviewWebsite
Timeplus logo

Timeplus

Databases

Streaming SQL engine built on ClickHouse internals, shipping as one small binary

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Mathesar there is no hosted offering of any kind, so a team without someone who can run and secure a server cannot use it at all.; 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: Mathesar covers Direct PostgreSQL editing, Timeplus covers Streaming SQL.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Mathesar and Timeplus actually diverge.

Attributes where Mathesar and Timeplus differ
AttributeMathesarTimeplus
Pricing modelOpen source, no licence feePer month for cloud, quoted for self-hosted
PlatformsWeb, LinuxLinux, macOS, Docker, Kubernetes, Web
CategorySpreadsheetsDatabases

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 Mathesar

  • Direct PostgreSQL editing
  • PostgreSQL permissions
  • Schema editing
  • Data exploration
  • Relationship navigation
  • Import of tabular files
  • Self hosted only

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.

Mathesar

  • A nonprofit or research group whose data is already in PostgreSQL and whose staff cannot write SQLnot Timeplus
  • Giving analysts a safe editing interface governed by database roles that already existnot Timeplus
  • Replacing a hand built Django or Rails admin screen that nobody wants to maintainnot Timeplus
  • Editing production reference data where an export, edit and reimport cycle would risk losing concurrent changesnot Timeplus

Timeplus

  • Real-time alerting on Kafka topics where standing up a Flink cluster is more work than the use case justifiesnot Mathesar
  • Fraud or anomaly detection that must join a live event stream against recent history in one querynot Mathesar
  • Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot Mathesar
  • A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot Mathesar

Where each one falls short

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

Mathesar

  • There is no hosted offering of any kind, so a team without someone who can run and secure a server cannot use it at all.
  • It works only with PostgreSQL, so a MySQL, SQL Server or SQLite estate is excluded outright.
  • There are no automations, no webhooks and effectively no integration catalogue, so it edits data and does nothing else.
  • Because it writes to the live database, a careless bulk edit or column type change is a production change with no staging step and no undo.
  • Development is grant and community funded rather than commercially funded, so roadmap pace and long term continuity carry a different risk profile from a venture backed vendor.

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

Mathesar

Free
  • Self hosted open sourceFree
    • No licence fee
    • No hosted option offered
    • Connects to your existing PostgreSQL database

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 Mathesar if

  • You need direct postgresql editing.
  • You want to start without paying.
  • You work on Web, Linux.
  • You also want postgresql permissions.
Mathesar review

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.
Timeplus review

Questions people ask

Is Mathesar or Timeplus better?
Neither clearly leads. Mathesar 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, Mathesar or Timeplus?
Mathesar starts at Free and Timeplus at Free.
Does Mathesar or Timeplus run on more platforms?
Mathesar runs on Web, Linux. Timeplus runs on Linux, macOS, Docker, Kubernetes, Web.
Can I use Mathesar for free?
Both have a free tier, so you can try either at no cost before committing.
What is Mathesar best used for?
Mathesar is most often used for a nonprofit or research group whose data is already in postgresql and whose staff cannot write sql, giving analysts a safe editing interface governed by database roles that already exist, replacing a hand built django or rails admin screen that nobody wants to maintain, editing production reference data where an export, edit and reimport cycle would risk losing concurrent changes. Of those, a nonprofit or research group whose data is already in postgresql and whose staff cannot write sql and giving analysts a safe editing interface governed by database roles that already exist are not what Timeplus is typically brought in for.
What can Mathesar do that Timeplus cannot?
Mathesar covers Direct PostgreSQL editing, PostgreSQL permissions, Schema editing, Data exploration. Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment.

Answered from the vendors’ own pages

Mathesar: Is there a cloud version?

No. Self hosting is the only option, and that is a deliberate project decision rather than a gap waiting to be filled.

Timeplus: Is Timeplus open source?

The core engine, Timeplus Proton, is Apache 2.0. Timeplus Enterprise and Cloud are commercial.

Mathesar: How does it handle permissions?

Through PostgreSQL roles and privileges directly, so there is no second permission model to keep in step.

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.

Mathesar: What is the row limit?

Whatever PostgreSQL can handle. Mathesar adds no storage layer of its own.

Timeplus: Can Proton run in production?

It can, but it is single-node only, so there is no high availability without the commercial edition.

Mathesar: Does it support databases other than PostgreSQL?

No.

Timeplus: How much is the cloud?

From 199 US dollars a month, sized by CPU and memory, with a fourteen day trial.

Mathesar: Can it replace Airtable?

Only for editing and exploring data. There are no automations, apps or integrations.

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