148 All-Time Launches
11 2026 Launches
0.24 Avg Engagement
-68% YoY Change

We've been tracking Database since 2021. 148 products indexed. The trajectory tells you where builders are investing and where the market sees opportunity.

Below: launch volume by year, engagement patterns by quarter, and the products that defined each period.

Launches Per Year

22 2022
42 2023
39 2024
34 2025
11 2026

Quarterly Breakdown

QuarterLaunchesAvg Interest ScoreTop Product
Q1 2026 11 167 InsForge
Q1 2025 9 130 Prisma Postgres
Q2 2025 11 133 Keboola MCP Server
Q3 2025 8 137 Teable 2.0
Q4 2025 6 130 Reindeer
Q1 2024 10 99 Qubinets
Q2 2024 12 258 Retable
Q3 2024 9 159 OpenEngine by Datazip
Q4 2024 8 482 Boost.space 4.0
Q1 2023 9 96 Extensive Investor List
Q2 2023 13 125 Estuary Flow
Q3 2023 13 117 Cedalio
Q4 2023 7 81 SuperDuperDB
Q1 2022 4 159 Upstash
Q2 2022 5 127 Accelerator Hunt
Q3 2022 1 166 DoubleCloud

Market Direction

The Database category has been accelerating over the past 5 years of tracked data. Total launches went from 22 in 2022 to 11 in 2026.

Average engagement ratio across all Database launches: 0.24. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.

Peak Activity

Database peaked in 2023 with 42 launches. That was 3 years ago. The decline since then could signal market consolidation, saturation, or attention shifting to adjacent categories.

Engagement Quality

Average engagement per product dropped from 0.27 in 2022 to 0.17 in 2026. More products competing for the same attention pool. The community is spread thinner, which makes high-engagement launches more impressive.

Strongest Quarter

The highest-performing quarter was Q4 2024, with an average interest score of 482 across 8 launches. Boost.space 4.0 led that quarter.

Top Database Products by Year

2026

Give agents everything they need to ship fullstack apps
647
Mar 2026 127 discussions
A pleasant Postgres browser for working with real data
340
Jan 2026 43 discussions
Like SQLite, but for the web
250
Feb 2026 16 discussions
Connect your own AI with unlimited prompts and easy deploy
125
Feb 2026 17 discussions
Native Swift apps + a real cloud database. One prompt away.
117
Mar 2026 23 discussions

2025

The AI database agent that transforms data into action
491
Sep 2025 40 discussions
Build production-grade data pipelines with just a prompt
411
Jun 2025 18 discussions
Cursor for databases
366
Nov 2025 59 discussions
Build smarter knowledge graphs for data-rich applications
345
May 2025 50 discussions
The future of serverless databases
267
Feb 2025 29 discussions

2024

Buy & Sell AI-Powered Workflows
930
Nov 2024 85 discussions
Waterfall enrichment for emails & phone numbers
825
Oct 2024 90 discussions
Airtable alternative - one tool to replace them all
767
Apr 2024 170 discussions
Idea to Postgres database
759
Dec 2024 95 discussions
Design and run serverless cloud API in minutes
605
Nov 2024 77 discussions

2023

Over 78k investors in free fundraising database
265
Mar 2023 226 discussions
Connect your data, where you want it, in milliseconds
227
Apr 2023 115 discussions
A database that is verifiable and auditable by default
205
Jul 2023 44 discussions
Build remarkable analytics experiences, 10x faster
197
Sep 2023 19 discussions
Unify the data layer with GraphQL
190
Apr 2023 18 discussions

Frequently Asked Questions

We report what happened. We don't predict. Five years of data shows patterns, but markets surprise people for a living.

Three common reasons. The market consolidated around winners. The technology matured and stopped generating new startups. Or builder attention shifted to adjacent categories. Usually it's a combination.

Volume without engagement is saturation. Engagement without volume is opportunity. Check which one you're looking at.

Sum of all interest scores in the quarter divided by number of products. Simple average. We don't weight by category or product age.

Depends on what's declining. If volume drops but engagement rises, the market is maturing. That's often good for existing players. If both drop, the category may be dying. The quarterly breakdown on each page tells you which pattern you're seeing.

At least three. Two data points is a line, not a trend. We have five years of data for most categories, which is enough to distinguish real shifts from noise.

Current year launches compared to the same period last year. Positive means more products launching. Negative means the category cooled. Neither is inherently good or bad. A mature category with fewer but better launches is often healthier than one flooding the market with clones.

Database market moves, weekly

New launches, engagement shifts, and category trends delivered to your inbox.