This page is for ClickHouse Cloud reps whose deal has TimescaleDB in it. It is built from 81 claims ClickHouse Cloud makes on its own site and 79 that TimescaleDB makes on its own. TimescaleDB argues its case on real-time and streaming, availability and reliability and managed and serverless, and those are the themes a buyer who has read TimescaleDB's site is most likely to bring to the call.
TimescaleDB's strengths
What TimescaleDB will say: the claims a buyer is most likely to bring to this deal.
SOC 2 Type II, GDPR support, and enterprise security standards.
tigerdata.com · read 2026-10-08Data grows every second your machines run. Our capabilities let Postgres ingest it fast, store years of it cheaply, and query live and historical data together.
tigerdata.com · read 2026-10-08Certain add-on features may incur additional charges to increase functionality – such as HA replicas, IO boost, tiered storage and production support.
tigerdata.com · read 2026-10-08Tiger Cloud just charges by the actual storage used, unlike Amazon RDS or self-managed infrastructure where you pre-provision disk and pay for its allocation.
tigerdata.com · read 2026-10-08
ClickHouse Cloud's advantages
ClickHouse Cloud's own claims: first where TimescaleDB says nothing, then on the themes this deal is fought over.
Powering agentic systems with millisecond queries at petabyte scale.
clickhouse.com · read 2026-10-08Run fast queries on local files (CSV, TSV, Parquet, and many more) without a server.
clickhouse.com · read 2026-10-08Analyze and explore data instantly for insights and apps. Scale faster by offloading heavy workloads.
clickhouse.com · read 2026-10-08Sony, Lyft, Cisco, GitLab and many more choose ClickHouse Cloud for its scale, efficiency, and ease of use.
clickhouse.com · read 2026-10-08
Figures you can lead with
- 10X
Now in Public Beta: ClickHouse Managed Postgres. Run Postgres up to 10X faster, with real-time analytics built-in.
clickhouse.com · read 2026-10-08 - 100x
Column-oriented databases are better suited to OLAP scenarios. They are at least 100x faster in processing most queries. ClickHouse uses all available system resources to their full potential to process each analytical query as fast as possible.
clickhouse.com · read 2026-10-08 - 3 billion
We store approximately 3 billion events (rows) per day at a rate of approximately 2 million events per minute.
clickhouse.com · read 2026-10-08
Objections
Objections TimescaleDB creates for ClickHouse Cloud reps
What a buyer says after reading TimescaleDB's site, answered with Validate → Pivot → Evidence and a coaching note.
8 objections
The objections below are our reading of what a buyer repeats after reading TimescaleDB's site, each answered with validate, pivot and evidence. TimescaleDB's own claims are summarised above; a free account shows every one. Every claim is quoted verbatim with its source and date. These are each vendor's own words, so nothing is scored above Competitive and we do not rule on which product is better.
Head of Data
Competitor · Real-time and streaming
We've been looking at TimescaleDB for real-time and streaming. How is ClickHouse Cloud different there?
VALIDATE → PIVOT → EVIDENCE
Validate. Acknowledge that both products make the case on real-time and streaming, so the buyer is right to ask what separates them.
Pivot. Ask which part of real-time and streaming matters most in their evaluation, then show where ClickHouse Cloud's approach differs, with evidence.
Evidence. Offer a concrete outcome — a named customer, a pilot, a measurement they can repeat — rather than a positioning statement or a feature table.
Coaching note. Don't claim a difference you can't show. If the products genuinely overlap here, say so and move to the criteria where they don't.
From TimescaleDB's claim: “Data grows every second your machines run. Our capabilities let Postgres ingest it fast, store years of it cheaply, and query live and historical data together.”tigerdata.com
CTO
Competitor · Availability and reliability
TimescaleDB's pricing page is clear about availability and reliability. Why would we go with ClickHouse Cloud?
VALIDATE → PIVOT → EVIDENCE
Validate. Acknowledge that TimescaleDB is clear about what its plans include. A buyer reads that as low risk.
Pivot. Ask what they would actually pay at their volume, including the line items the plan page leaves out.
Evidence. Offer a concrete outcome — a named customer, a pilot, a measurement they can repeat — rather than a positioning statement or a feature table.
Coaching note. Don't discount ClickHouse Cloud to match a list price. Compare the total for their workload, not the headline.
From TimescaleDB's claim: “Certain add-on features may incur additional charges to increase functionality – such as HA replicas, IO boost, tiered storage and production support.”tigerdata.com
Others selling against TimescaleDB
Other products' reps selling against TimescaleDB.
Matchup pages for this product publish soon.
Changes
Recent changes
Claim changes on clickhouse.com and tigerdata.com.
last checked 2026-10-08
- figure added
ClickHouse Cloud: 10× (volume)
70 materiality · 2026-10-08 · source