Top 122 Open Source Databases & Storage Engines (April 2026)
reposReview 122 databases, caching layers, storage engines, distributed proxies, and cloud infrastructure utilities published in April 2026.
Databases & Infrastructure — April 30, 2026
+ 82 more verified repositories in full dataset...
Executive Intelligence Summary
During April 2026, the Repos tracking engine indexed 122 open-source repositories matching the Databases & Infrastructure cluster.
These projects represent active engineering teams and independent open-source developers shipping production code, architectural prototypes, and developer tooling.
Key Sector Telemetry & Maintainer Trends
- Primary Topic Signals: api (34), database (16), proxy (15), llm (13), postgres (12), mcp (10)
- Active Maintainers & Orgs:
NikolayS(2),lasect(2),skrun-dev(2),askalf(2),Donnyb369(2) - Sample Records Displayed: 40 of 122
- Remaining Available in Dataset: 82 records
3 Ways to Monetize & Leverage This Developer Intelligence
1. DevTool Sales & Technical Outbound
Reach out to repository creators who just launched tools in the Databases & Infrastructure space. Maintainers actively shipping code are prime candidates for cloud infrastructure, CI/CD automation, API credits, and developer tools.
2. High-Signal Tech Recruitment
Identify skilled engineers working on bleeding-edge projects. Sourcing talent directly from verified open-source releases gives you verified code samples and active commits.
3. Competitive Intelligence & Directory Building
Import structured repository telemetry into internal dashboards, market landscape charts, or developer directory websites to track where open-source velocity is concentrating.
Developer Usage Recipe
import pandas as pd
# Load Repos Master Index
df = pd.read_csv("repos.csv")
# Filter for April 2026 records in this sector
sector_repos = df[df["month"] == "2026-04"]
print(f"Loaded {len(sector_repos):,} open-source repositories from April 2026")
If you need the full dataset of 19,400+ developer repository records formatted for instant use in spreadsheets, pipelines, or databases, check out the Repos Master Dataset.