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Q2 2026 Rankings

Data Infrastructure Startups to Watch, Q2 2026

Data infrastructure is the most active engineering sector by raw commit volume this quarter.

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Key takeaways, at a glance

In Q2 2026, 15 of 37 tracked data infrastructure startups show positive engineering acceleration. rocky-data leads with 267 commits over 14 days (+26600% change). The dominant signal pattern is "Deceleration". Average sector commit velocity is 141 commits per 14-day window. These engineering momentum signals have historically preceded fundraise announcements by three to six weeks.

Data sourced from public GitHub activity. Read our methodology

Bar chart: Data Infrastructure, Velocity Change. rocky-data: +26600%, SAP-samples: +999%, clidey: +999%, mloda-ai: +999%, tuva-health: +300%, airbytehq: +94%, langfuse: +65%, Point72: +50%.Data Infrastructure, Velocity Changerocky-data+26600%SAP-samples+999%clidey+999%mloda-ai+999%tuva-health+300%airbytehq+94%langfuse+65%Point72+50%
Data Infrastructure, Velocity Change, top 8 startups by 14-day commit velocity change. Data: VC Deal Flow Signal.
Signal distribution for Data Infrastructure: Deceleration (18), Framework migration (9), Engineering hiring burst (5), Infrastructure buildout (3), Deploy frequency spike (2). 37 startups total.37startups
Deceleration (18, 49%)
Framework migration (9, 24%)
Engineering hiring burst (5, 14%)
Infrastructure buildout (3, 8%)
Deploy frequency spike (2, 5%)
Signal type distribution across 37 data infrastructure startups. Data: VC Deal Flow Signal.
#CompanyStageCommits (14d)ChangeContributorsSignal
1rocky-data

SQL transformation engine built in Rust

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Seed267+26600%9Deploy frequency spike
2SAP-samples

Samples illustrate software features and capabilities and provide other helpful resources to show how an SAP solution ma

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Pre-seed717+999%4Infrastructure buildout
3clidey

Building software for people.

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Pre-seed1+999%5Infrastructure buildout
4mloda-ai

mloda ai is adata infrastructure pre-seed startup based in EU, shipping product updates at an accelerated pace.

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Pre-seed2+999%3Deploy frequency spike
5tuva-health

The community building the future of healthcare analytics

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Series A/B4+300%48Infrastructure buildout
6airbytehq

Open source data replication platform and context layer for AI agents.

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Growth989+94%378Engineering hiring burst
7langfuse

Open source AI engineering platform. Debug, analyze and iterate together.

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Growth66+65%194Engineering hiring burst
8Point72

Point72 is adata infrastructure series a/b startup based in US, rapidly expanding their engineering team.

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Series A/B6+50%22Engineering hiring burst
9dbt-labs

dbt helps data teams work like software engineers to ship trusted data, faster.

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Growth218+46%379Framework migration
10subsquid

Blockchain data infrastructure for Web3 developers: validated data across 225+ networks plus the Squid SDK and Pipes SDK

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Series A/B30+43%40Engineering hiring burst
11SigNoz

Open source Observability Platform

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Growth80+43%207Framework migration
12cilium

eBPF-based Networking, Security, and Observability

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Growth186+22%398Framework migration
13dagster-io

An orchestration platform for the development, production, and observation of data assets.

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Growth234+13%407Framework migration
14DataSQRL

Build with Data

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Seed28+12%14Framework migration
15open-telemetry

OpenTelemetry makes robust, portable telemetry a built-in feature of cloud-native software.

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Growth34+3%408Framework migration
16MTSWebServices

MWS is a leading digital company in Russia, building out a product ecosystem on top of a strong telecommunications found

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Pre-seed5+0%3Framework migration
17cryostatio

JDK Flight Recorder for Kubernetes

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Seed3+0%10Framework migration
18ConduitIO

Real-time data integration platform connecting databases, services, and message queues through a unified streaming pipeline.

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Series A/B3+0%23Engineering hiring burst
19AbsaOSS

ABSA Open Source

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Seed6+0%9Framework migration
20PostHog

The single platform to analyze, test, observe, and deploy new features

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Growth1,599-1%391Deceleration
21opensearch-project

OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to inges

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Growth53-12%347Deceleration
22superlinked

Compute tooling for vector-powered apps.

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Pre-seed6-14%5Deceleration
23drt-hub

drt hub is adata infrastructure series a/b startup based in APAC, modernizing their technology stack for scale.

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Series A/B107-16%30Deceleration
24redpanda-data

The streaming data platform for developers

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Growth217-18%175Deceleration
25ClickHouse

The leading database for AI

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Growth31-33%309Deceleration
26rudderlabs

Steer your Customer Data

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Growth16-36%111Deceleration
27debezium

Distributed open source platform for change data capture

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Growth69-37%362Deceleration
28Zipstack

Zipstack is adata infrastructure series a/b startup, modernizing their technology stack for scale.

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Series A/B16-38%30Deceleration
29starlake-ai

starlake ai is adata infrastructure pre-seed startup based in EU, shipping product updates at an accelerated pace.

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Pre-seed15-44%7Deceleration
30odpi

LF AI & Data is an umbrella foundation,artificial intelligence, machine learning, deep learning, and data.

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Series A/B3-50%30Deceleration
31dagucloud

Local-first data pipeline orchestration for scripts, SQL, containers, and private infrastructure. One binary, file-backe

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Growth49-51%77Deceleration
32estuary

estuary is adata infrastructure series a/b startup, modernizing their technology stack for scale.

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Series A/B92-53%37Deceleration
33VictoriaMetrics

Easy to use and fast monitoring solution

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Growth26-57%392Deceleration
34bruin-data

Bruin is an end-to-end data platform with built-in data quality, observability, and governance.

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Seed8-58%13Deceleration
35scribe-org

Open-source language solutions

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Growth2-60%61Deceleration
36rocketride-org

rocketride org is adata infrastructure series a/b startup based in US, modernizing their technology stack for scale.

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Series A/B26-67%45Deceleration
37datajuicer

Data processing for and with large models.

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Growth2-67%51Deceleration
Powered by VC Deal Flow Signal , real-time GitHub engineering data for investorsData from public GitHub API

Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q2 2026.

Browse the full Data Infrastructure directory: all 37 startups, paginated
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Projected lead-time window

≈21-day lead window

Projected next milestone

Public launch / release

The free Sunday digest puts rocky-data and 36 other Data Infrastructure startups this period in context, 14-day acceleration deltas, contributor maps, and the top names not on Crunchbase yet. Five names every Sunday, no card, no code-reading.

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Projections are model estimates derived from each org's public commit signal and the SSRN-published methodology, not statements of fact. Cross-reference with primary sources before acting.

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Frequently Asked Questions

What engineering signals are data infrastructure startups showing in Q2 2026?

In Q2 2026, we are tracking 37 data infrastructure startups with measurable GitHub engineering signals. 15 of 37 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 22 of the tracked companies. The average 14-day commit velocity across the sector is 141 commits, with rocky-data leading at 267 commits (+26600% change). These patterns have historically preceded fundraise announcements by three to six weeks.

Which data infrastructure startup has the highest engineering acceleration in Q2 2026?

rocky-data leads the data infrastructure sector in Q2 2026 with 267 commits over a 14-day window, representing a +26600% change from the prior period. With 9 active contributors, rocky-data is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.

Where are the most active data infrastructure engineering teams located?

Among the 37 data infrastructure startups we track, US accounts for the highest concentration with 11 teams. Startups building pipelines, warehouses, and observability platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.

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