Alternatives
Products that do what ObsessionDB – We rebuilt ClickHouse infrastructure to cut our costs 50% does
Hey HN, I'm Marc. I run Numia, a blockchain data company serving real-time APIs at near-petabyte scale. ObsessionDB is managed ClickHouse we built for ourselves that costs roughly 50% less than other managed options. Now we're launching it as a standalone service. We had the classic split: ClickHouse for real-time analytics APIs, BigQuery for data warehouse workloads. Data replicated between both, costs adding up. Managed ClickHouse worked but was too expensive to put our warehouse workload into. Self-hosted meant replica nodes doubling storage and waiting days to copy 25TB to new replicas.…
- 1SO
Hello! For the past year I’ve been working on a fully-managed data warehouse built on Clickhouse. I built this because I was frustrated with how much work was required to run an OLAP database in prod: re-writing my app to do batch inserts, managing clusters and needing to look up special CREATE TABLE syntax every time I made a change. I found pricing for other warehouses confusing (what is a “credit” exactly?) and worried about getting capacity-planning wrong. I was previously building accounting software for firms with millions of transactions. I desperately needed to move from Postgres to…
2023 · github.com
- 2CL
Me with my friend Vitaly Ludvichenko made an experiment to combine ClickHouse server and client to make a self-contained program running a database engine and processing data without a server: https://github.com/ClickHouse/ClickHouse/pull/150 Development continued in the past 6 years, and now clickhouse-local becomes a swiss-army knife for data processing. Say "ffmpeg" for datasets and more. It can resemble textql, octosql, dsq, duckdb, trdsql, q, datafusion-cli, spyql, but has better capabilities and performance. Here is a tutorial:…
2023 · clickhouse.com
- 3SO
We just released a major upgrade to SigNoz with support for Logs management based on ClickHouse. Would love to get any feedback from the community here on what you think and any questions you may have for us Many big companies like Uber and Cloudflare have been shifting to ClickHouse as their main workhorse for Logs management seeing much better performance. for e.g Cloudflare recently shifted from Elastic to ClickHouse and are seeing 8x improvement in memory/cpu resource requirement in ingestion. This is our first release with Logs support and we have added support for: - Filtering…
2022 · github.com
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2019 · 1mb.site
- 6
While building an IoT telemetry solution, we ran into hurdles with Clickhouse. For one, you can't insert quickly AND durably into Clickhouse without setting up something like Kafka, which gets complicated for quick projects wanting to make use of Clickhouse's powerful features. Then, trying to actually query Clickhouse and show data in a UI required a whole backend API to handle auth and permissions. We figured that all these parts together – fast, durable ingest, row-level and column-level security and roles, and realtime streaming – were a lot of scaffolding to have to rebuild for every…
17d ago · wavehouse.dev
- 7CO
Hey HN! Mike & Warren here from HyperDX (now part of ClickHouse)! We’ve been building ClickStack, an open source observability stack that helps you collect, centralize, search/viz/alert on your telemetry (logs, metrics, traces) in just a few minutes - all powered by ClickHouse (Apache2) for storage, HyperDX (MIT) for visualization and OpenTelemetry (Apache2) for ingestion. You can check out the quick start for spinning things up in the repo here: https://github.com/hyperdxio/hyperdx ClickStack makes it really easy to instrument your application so you can go…
2025 · github.com
- 8DT
2021 · github.com
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- 10MP
Hello HN, this is Sai and Kaushik from ClickHouse. Today we are launching a Postgres managed service that is natively integrated with ClickHouse. It is built together with Ubicloud (YC W24). TL;DR: NVMe-backed Postgres + built-in CDC into ClickHouse + pg_clickhouse so you can keep your app Postgres-first while running analytics in ClickHouse. Try it (private preview): https://clickhouse.com/cloud/postgres Blog w/ live demo: https://clickhouse.com/blog/postgres-managed-by-clickhouse Problem Across many fast-growing companies using Postgres,…
Jan 2026
- 11WB
Hey hn! I'm one of the co-founders of highlight.io, an open source monitoring tool. Today we're sharing a ClickHouse-based logging solution we've been working on. We wanted to showcase how we built it and share how you could try it out to give feedback. Since we started working on highlight.io, we've been hyper-focused on "cohesion", or ensuring that when you install your monitoring stack, all of the resources in that stack (user interactions, requests, traces, logs, etc.) are connected in a consumable way. We've written up more about our philosophy on this here [1]. We started building…
2023 · github.com
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- 13NO
Hey HN, we're Evis and Nick and we're excited to be launching Neosync (https://www.github.com/nucleuscloud/neosync). Neosync is an open source platform that helps developers anonymize production data, generate synthetic data and sync it across their environments for better testing, debugging and developer experience. Most developers and teams have some version of a database seed script that creates some mock data for their local and stage databases. The problem is that production data is messy and it’s very difficult to replicate that with mock data. This causes two big…
2024 · github.com
- 14DA
For a while now I had the urge to learn how to pick the "right" database for projects, I looked around online at different databases to try to understand their different traits, and was bombarded with marketing instead of actual info on the advantages and drawbacks. The only solution for me was to learn some database internals (I read the wonderful book written by Alex Petrov), and the problems seemed so interesting, I could not fight the urge and went ahead with trying to write my own db. Anyway, ~9 months have passed and I feel like I'm "done", I have learned a ton, and really proud of…
2024 · github.com
- 15AO
Hey HN, We are excited to announce that we’ve open-sourced AGX, a fast and lightweight data explorer for ClickHouse. It is designed for developers and analysts who want to leverage SQL-native querying in an IDE-like environment. Here’s what makes AGX stand out: - Built on ClickHouse (accessible via embedded chdb or remote instance). - IDE-like user interface: features tabs, a Monaco editor, and a fast keyboard workflow. - Zero setup required: no infrastructure or complex dashboards to manage. - Ideal for exploring live blockchain data, while also flexible enough for general ClickHouse usage…
2025 · github.com
- 16PA
2019 · pugsql.org
- 17OS
Hi HN, Mike and Warren here! We're excited to share some (early) work towards our next major version of HyperDX. HyperDX makes it easy to visualize/search logs & traces on top of Clickhouse (so incident & bug investigations hopefully go by a little easier). For example, if a team is thinking of migrating to Clickhouse for their observability data warehouse [1][2][3] usually due to cost or data privacy reasons, they can easily throw HyperDX on top to do the UI layer for analysis and dashboarding in a dev-friendly way (aka not needing to type paragraphs of SQL to find some logs) Over the…
2024 · github.com
- 18TA
As the creator of TerarkDB (acquired by ByteDance in 2019), I have developed ToplingDB in recent years. ToplingDB is forked from RocksDB, where we have replaced almost all components with more efficient alternatives(db_bench shows ToplingDB is about ~8x faster than RocksDB): * MemTable: SkipList is replaced by CSPP(Crash Safe Parallel Patricia trie), which is 8x faster. * SST: BlockBasedTable is replaced by ToplingZipTable, implemented by searchable compression algo, it is very small and fast, typically less than 1μs per lookup: * Keys/Indexes are compressed using NestLoudsTrie(a…
2025 · github.com
- 19GE
Hi HN, My name is JR and I had a need for a simple analytics solution that allowed me to store (timestamp, json) logs and run SQL over them. It was hard to find the right solution. Solutions like Mixpanel and Amplitude optimized for particular report types. Whereas solutions like Snowflake, BigQuery, etc. required a lot of setup. I built GraphJSON to fit in the middle. I strived for the ease of use of tools like Mixpanel and Amplitude, but wanted to ensure affordances were built to support use cases that big data warehouses enable. Under the hood, GraphJSON is powered by ClickHouse. This…
2022 · graphjson.com
- 20GO
Hi HN! We are Ashish and Armend, founders of GlassFlow. We just launched our open-source streaming ETL that deduplicates and joins Kafka streams before ingesting them to ClickHouse https://github.com/glassflow/clickhouse-etl Why we built this: Dedup with batch data is straightforward. You load the data into a temporary table. Then, find only the latest versions of the record through hashes or keys and keep them. After that, move the clean data into your main table. But have you tried this with streaming data? Users of our prev product were running real-time analytics…
2025 · github.com
- 21AD
I created a data store called Nubostore that is serverless, globally distributed, strongly consistent, low latency, real-time, with Instant-Search engine, and accessible via REST and GraphQL. I wanted a powerful data storage system, without the complexity of database management. Please let me know your thoughts! https://nubo.app/nubostore
2022
- 225E
Hi HN! We are Ashish and Armend, founders of GlassFlow. Over the last year, we worked with teams running high-throughput pipelines into self-hosted ClickHouse. Mostly for observability and real-time analytics. A question that came repeatedly was: What happens when throughput grows? Usually, things work fine at 10k events/sec, but we started seeing backpressure and errors at >100k. When the throughput per pipeline stops scaling, then adding more CPU/memory doesn’t help because often parts of the pipeline are not parallelized or are bottlenecked by state handling. At this point,…
Apr 2026 · github.com
- 23DJ
Hello HN, I’m Gaurav. Founder & CEO of Dassana. We are coming out of stealth today and would like to invite the community to give us a try. https://lake.dassana.io/ First, a bit of a backstory. I grew up with grep to search log files. The kind of person whose grep was aliased to grep -i. Then came along Splunk. It was a game-changer. For every single start-up I started (there are a few) I used Splunk and quite often we will run out of our ingestion quota. SumoLogic wasn’t cheaper either so we looked into DataDog. It was good until we started running issues with aggregate…
2022
- 24TA
Dec 2025 · github.com
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