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Parseable, an open observability datalake, handles 100M time-series/min

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This is 1 of 63 launches in software observability platforms — see how it stacks up on momentum and crowding →

1042 other launches read as similar to this one →

Details

External ID
49978171
Source
HN
Company
—
Product
Parseable, an open observability datalake, handles 100M time-series/min
Website domain
parseable.com
Launched
Oct. 6, 2026
Cohort
—
Upvotes
88
Upvotes percentile
0.89
Tags
—

Enrichment

Niche
software observability platforms
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
Not AI
Project type
Commercial product
Normalized one-liner
observability datalake for time-series metrics
Manually corrected
False

Could you build this?

No Parseable is an open-source distributed observability datalake built in Rust capable of processing 100M events/min on object storage, which demands deep systems programming and database internals expertise.

What it would actually take: Built in Rust using Apache Arrow, DataFusion, and Parquet, interfacing directly with S3-compatible object storage. The challenges involve high-throughput concurrent stream ingestion, vectorization, SIMD optimizations, custom indexing algorithms, and zero-copy query execution over petabyte-scale distributed object stores.

Discussion

7 comments analyzed.

Competitors mentioned: VictoriaMetrics, Thanos, ClickHouse, Prometheus

Concerns raised: Scalability compared to alternatives reaching billions of series, Resource tradeoffs of columnar DBs like RAM usage, query speed, and IO

Competitors

Other products that read as similar to this one — 1042 launches clear the similarity bar, closest 8 shown.

Attention rank: #116 of 1043 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 342 days after the earliest competitor.

Other launches for this product