Dev tools · alternatives · 2026
24 alternatives to Trifle – Open-source analytics that stores answers, not events
Trifle is an open-source time-series analytics library that aggregates nested counters instead of storing raw events. All in the database you already have. After rebuilding it twice over 10 years, it now tracks ~1B events a day at my day job. It started in 2015 as my own Rails APM. I plugged into ActiveSupport::Notifications, got a few small users, and one bigger one whose scraping app broke everything. That sparked the core idea: aggregate counters into pre-defined time buckets, so a single write increments multiple buckets at once. The APM eventually faded away without much traction. Later…
Trifle is an open-source time-series analytics library that aggregates nested counters instead of storing raw events, using existing databases like PostgreSQL, MongoDB, or Redis. Designed for developers building… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Marple▲86Hi HN! I’m Nero from Marple, and we build time series tooling for Aerospace & Automotive. In 2020, we launched our first product: a sort of Grafana on steroids designed for high performance analysis. After integrating with a lot of different TS databases, we kept running into their design limits when trying to deliver the best performance & UX to our users. That’s why we are launching Marple DB today (https://www.marpledata.com/marple-db). Marple DB transforms measurements files (CSV, MAT, HDF5, TDMS, …) into a queryable lakehouse. We designed for extreme ingestion…
2022 · marpledata.com · its alternatives →
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Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
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Complete open-source monitoring and observability platform. - OneUptime/oneuptime
2024 · github.com · its alternatives →
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GreptimeDB▲72Open-source database for large-scale time-series data
2022 · greptime.com · its alternatives →
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QuestDB▲194Fastest open source database for time-series and analytics
2020 · questdb.com · its alternatives →
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2018 · pushdata.io · its alternatives →
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Warp 10▲58Collect, store, and analyze time series and geolocated data
2020 · warp10.io · its alternatives →
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Hi HN, I’m Ignacio, founder at Basekick Labs. Over the past months I’ve been building Arc, a time-series data platform designed to combine very fast ingestion with strong analytical queries. What Arc does? Ingest via a binary MessagePack API (fast path), Compatible with Line Protocol for existing tools (Like InfluxDB, I'm ex Influxer), Store data as Parquet with hourly partitions, Query via DuckDB engine using SQL Why I built it: Many systems force you to trade retention, throughput, or complexity. I wanted something where ingestion performance doesn’t kill your analytics. Performance &…
2025 · github.com · its alternatives →
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Chartbrew▲159One dashboard to view, create and share your data
2020 · chartbrew.com · its alternatives →
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Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io · its alternatives →
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Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…
Jun 2026 · github.com · its alternatives →
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I’ve been a long-time Snowplow user and unofficial evangelizer. I have deep respect for its founders, Alex and Yali, who I met a few times. What made me fall in love with Snowplow was that it was unopinionated, gave access to raw event data, and was truly open source. Back in 2013, that changed everything for me. I couldn’t look at GA the same way again. Over the years, analytics moved into SQL warehouses driven by cheaper CPU/storage, dbt, reproducibility, and transparency. I saw the need for a democratized Snowplow pipeline and launched a hosted version in 2019. In January 2024,…
Oct 2025 · opensnowcat.io · its alternatives →
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A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
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A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
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Dashboards for agile teams using Trello with Burndown charts, Cumulative flow diagrams, Cycle time stats and more. Join our 14 free trial today.
2015 · getcorrello.com · its alternatives →
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A container for dataclasses with multi-indexing and bulk operations. - joshlk/dataclassframe
2020 · github.com · its alternatives →
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Hi HN, I started building Datastripes as part of my thesis, trying to answer a simple question: How can non-technical teams turn raw data into insights without relying on developers or BI tools? What began as research has now grown into a working product, built by a small team, focused on solving that exact problem. Datastripes is a no-code platform for creating dashboards and data visualizations in minutes: no SQL, no setup, no friction. What it does: Connects to CSVs, Google Sheets, or APIs Drag-and-drop dashboard builder Shareable via public links or embed Fully browser-based We’re…
Jan 2026 · datastripes.com · its alternatives →
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2020 · databaselog.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →