San Francisco · CA, USA · founded 2012 · http://rethinkdb.com
Diligence memoA one-page analyst read on RethinkDB — recommendation, valuation, rhythm, risks.→RethinkDB: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
The open source database for the realtime web.
RethinkDB is the first open-source scalable database for the realtime web. It exposes an exciting new access model -- instead of polling for changes, the developer can tell the database to continuously push updated query results to applications in realtime. RethinkDB allows developer to build scalable realtime apps in a fraction of the time with fewer engineering resources. RethinkDB features a pleasant and powerful query language that has useful queries like table joins and groupBy, a highly parallelized architecture, and web tools for managing clusters.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
No round amounts on record to chart.
No staged rounds to sequence.
Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 8525 companies in this sector. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 96% of sector peers (real $). Modeled value above 96% of peers (estimate).
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
RethinkDB is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| QuestDB High-performance time series database | Crypto / Web3 | — | — | 75% |
| PipelineDB Open-source time-series data analytics extension for PostgreSQL | Data / Analytics | — | — | 73% |
| LanceDB Open-source, serverless vectordb for production-scale generative AI | AI / ML | — | — | 71% |
| PeerDB Fast, native ETL for Postgres 🐘 🚀 | Media & Content | — | — | 71% |
| Clidey Turn scattered data into one platform for decision-making | SaaS / Software | — | — | 71% |
| Lightdash The open source Looker alternative | — | — | — | 71% |
| ParadeDB Simple, Elastic-quality search for Postgres | — | — | — | 70% |
| Reworkd The simplest way to extract web data at scale | AI / ML | — | — | 70% |
See where RethinkDB sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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