Life & fun · alternatives · 2026
24 alternatives to BigObject – Run your data analysis faster
BigObject is a multi-model time series relational database designed for high-speed storage and handling of massive data volumes. Built on In-Data Computing technology, it serves organizations that need to analyze… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. BigObject – Run your data analysis faster launched in 2015; newer entries below may have overtaken it.
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QuestDB▲194Fastest open source database for time-series and analytics
2020 · questdb.com · its alternatives →
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QuestDB live demo. Query three large datasets and more than 2 billion rows in milliseconds with SQL
2020 · try.questdb.io · its alternatives →
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2018 · pushdata.io · its alternatives →
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MotherDuck▲340Now GA: the ducking simple analytics data warehouse
2024 · motherduck.com · its alternatives →
- 8OO
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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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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GreptimeDB▲72Open-source database for large-scale time-series data
2022 · greptime.com · its alternatives →
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A fast, fully managed, scalable NoSQL database service
2015 · cloud.google.com · 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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A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends) - hugegraph/hugegraph
2018 · github.com · its alternatives →
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A grid library for instant big data processing
2022 · datatable.dev · its alternatives →
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QuestDB is the open-source time-series database for demanding workloads: ultra-low latency, high throughput, tiered storage, and fast SQL on open formats.
2019 · questdb.io · its alternatives →
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The Swiss army knife of data examination and manipulation - kstenerud/bo
2018 · github.com · its alternatives →
- 20FA
2017 · fauna.com · its alternatives →
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AI analytics, ask anything to analyze instantly
2024 · analytics-model.com · its alternatives →
- 24SA
2014 · senseplatform.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 →