---
title: "Kdb+: search popularity worldwide"
description: "Kdb+ is a time series database. Branded searches tell you how often people look for a brand by name or related terms. Comparing these searches across competitors helps you see how popular each brand is over time."
canonical: "https://gobrandwave.com/demand/global-en/brands/kdbplus"
publisher: "Brandwave"
---

# Kdb+: search popularity worldwide

Kdb+ is a time series database. Branded searches tell you how often people look for a brand by name or related terms. Comparing these searches across competitors helps you see how popular each brand is over time.

## Key facts

- **Brand**: Kdb+
- **Market**: Global
- **Measured month**: Sep 2026
- **Share of Search among time series databases**: 1.1%

## Where the brand sits

| Competitive set | Rank | Share of Search | Estimated monthly branded searches |
| --- | --- | --- | --- |
| Time series databases | 7 | 1.1% | 1.9K |

- [Time series databases](/demand/global-en/categories/time-series-databases)

## Top time series databases in ChatGPT and Google AI Overviews

In three ChatGPT questions and two Google AI Overviews, Kdb+ was mentioned in two out of five: not in any of the three ChatGPT answers, but in both Google AI Overviews. Kdb+ is the seventh most recommended of the seven.

Brands get a higher AI rank if they are mentioned earlier in the answers that list options.

| Brand | AI rank | ChatGPT answers that named it | Google AI Overviews that named it | All answers that named it |
| --- | --- | --- | --- | --- |
| InfluxDB | 1st | 3 of 3 | 2 of 2 | 5 of 5 |
| TimescaleDB | 2nd | 3 of 3 | 2 of 2 | 5 of 5 |
| QuestDB | 3rd | 3 of 3 | 2 of 2 | 5 of 5 |
| Tiger Data | 4th | 1 of 3 | 2 of 2 | 3 of 5 |
| VictoriaMetrics | 5th | 3 of 3 | 0 of 2 | 3 of 5 |
| ClickHouse | 6th | 3 of 3 | 0 of 2 | 3 of 5 |
| Kdb+ | 7th | 0 of 3 | 2 of 2 | 2 of 5 |

## Every AI answer about time series databases

- Asked ChatGPT "Which time series database should I use?": 1. TimescaleDB, 2. VictoriaMetrics, 3. InfluxDB, 4. ClickHouse, 5. QuestDB
- Asked ChatGPT "What are the best time series databases?": 1. TimescaleDB, 2. InfluxDB, 3. ClickHouse, 4. VictoriaMetrics, 5. QuestDB, 6. Tiger Data
- Asked ChatGPT "What's the best time series database for sensor data?": 1. TimescaleDB, 2. InfluxDB, 3. QuestDB, 4. ClickHouse, 5. VictoriaMetrics
- Searched Google, AI Overview "time series databases": 1. InfluxDB, 2. Tiger Data, 3. TimescaleDB, 4. QuestDB, 5. Kdb+
- Searched Google, AI Overview "time series db": 1. InfluxDB, 2. Tiger Data, 3. TimescaleDB, 4. QuestDB, 5. Kdb+

Brands are listed in the order each answer named them. The answers were collected in the United States on October 21, 2026.

## How has branded search demand for Kdb+ changed worldwide over the last 12 months?

- Across the 12 months ending September 2026, estimated monthly branded searches for Kdb+ worldwide fell from 2.4K to 1.9K.
- Across the 12 months ending September 2026, Kdb+’s share of searches among time series databases worldwide held steady, from 1.2% to 1.1%.

## How did search popularity change for time series databases worldwide in September 2026?

- In September 2026, InfluxDB gained share of searches among time series databases worldwide, from 13.7% to 15.5%.
- In September 2026, TimescaleDB gained share of searches among time series databases worldwide, from 9.1% to 10.3%.
- In September 2026, Tiger Data gained share of searches among time series databases worldwide, from 1.8% to 2.5%.
- In September 2026, VictoriaMetrics gained share of searches among time series databases worldwide, from 5% to 5.7%.
- In September 2026, QuestDB gained share of searches among time series databases worldwide, from 1.5% to 2.1%.
- In September 2026, ClickHouse lost share of searches among time series databases worldwide, from 68% to 62.9%.

## Historical estimated branded-search demand

| Month | Competitive set | Estimated monthly branded searches | Share of Search | Rank |
| --- | --- | --- | --- | --- |
| Oct 2025 | Time series databases | 2.4K | 1.2% | 7 |
| Nov 2025 | Time series databases | 2.4K | 1.2% | 7 |
| Dec 2025 | Time series databases | 1.9K | 1.1% | 7 |
| Jan 2026 | Time series databases | 2.4K | 1.1% | 7 |
| Feb 2026 | Time series databases | 1.9K | 0.96% | 7 |
| Mar 2026 | Time series databases | 2.4K | 1.2% | 7 |
| Apr 2026 | Time series databases | 1.9K | 0.97% | 7 |
| May 2026 | Time series databases | 2.4K | 1.3% | 7 |
| Jun 2026 | Time series databases | 1.9K | 1% | 7 |
| Jul 2026 | Time series databases | 1.9K | 1.1% | 7 |
| Aug 2026 | Time series databases | 1.9K | 0.96% | 7 |
| Sep 2026 | Time series databases | 1.9K | 1.1% | 7 |

## How are Kdb+’s branded searches counted?

Brandwave collects information about searches that people make online using Kdb+’s name. When viewed over time, estimated search volumes for this branded term can be used to understand whether interest in the brand is growing, holding steady, or fading.

- “kdb+”

## Which time series databases compete with Kdb+?

- [ClickHouse](/demand/global-en/brands/clickhouse)
- [InfluxDB](/demand/global-en/brands/influxdb): Head-to-head: /demand/global-en/compare/influxdb-vs-kdbplus
- [TimescaleDB](/demand/global-en/brands/timescaledb): Head-to-head: /demand/global-en/compare/kdbplus-vs-timescaledb
- [VictoriaMetrics](/demand/global-en/brands/victoriametrics): Head-to-head: /demand/global-en/compare/kdbplus-vs-victoriametrics
- [Tiger Data](/demand/global-en/brands/tiger-data): Head-to-head: /demand/global-en/compare/kdbplus-vs-tiger-data
- [QuestDB](/demand/global-en/brands/questdb): Head-to-head: /demand/global-en/compare/kdbplus-vs-questdb

## Methodology

- [How is the Brand Demand Index measured?](/demand/methodology): Where the figures come from, what they compare, and how they may be reused.

## Cite this page

Brandwave. "Kdb+: search popularity worldwide". https://gobrandwave.com/demand/global-en/brands/kdbplus

This page is also available as HTML at https://gobrandwave.com/demand/global-en/brands/kdbplus. Brandwave publishes an index of its Markdown pages at https://gobrandwave.com/llms.txt.
