Top all-time · #3649
Imply
Company blog · imply.io/blogdatasystems
Imply is the company blog at imply.io, writing about data and systems. Since 2015, 21 different Hacker News readers have linked it 204 times, most often “Imply – Exploratory Analytics Powered by Druid”. It is still writing: the last post was on 2026-05-11, and you can follow it by feed.
Too few sampled comments (11) to say how often HN recommends it.?
Why HN links it
HN readers link Imply's blog mainly for Apache Druid content, including benchmarks, cost comparisons and release announcements. Most comments discuss Druid or the Imply product rather than the posts.
Summarised by Claude from a sample of 11 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
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Most-linked posts?
- Imply – Exploratory Analytics Powered by Druid3 people · 3 mentions · first linked 2015-11-22
- /3 people · 3 mentions · first linked 2017-11-08
- Kappa architecture at NTT2 people · 16 mentions · first linked 2019-01-08
- A Tour Through the “Big Data” Zoo2 people · 12 mentions · first linked 2015-11-04
- Price-Performance Benchmark Apache Druid and Google BigQuery2 people · 7 mentions · first linked 2020-06-25
- Why GameAnalytics Migrated to Apache Druid2 people · 3 mentions · first linked 2019-02-21
- Role of partitioning and data locality in the performance of druid cluster2 people · 2 mentions · first linked 2022-02-05
- Benchmarks are silly and here are some results on Druid vs. ClickHouse2 people · 2 mentions · first linked 2021-11-22
- Apache Druid 0.182 people · 2 mentions · first linked 2020-05-21
What Hacker News says?
If you want to store a large number of time series, influx might not be for you. For smaller bits of data (where the full dataset can fit on a single machine, or there is a very low amount of dimensionality in the data, influx is nice. However, if the data grows beyond what a single scaled up machine can achieve, take a look at druid (druid.io). It is a bit more involved in setting up than influx, but was built from…
Comment linking /post/2015/10/19/announcing-imply.html
on “PostgreSQL Scalability: Towards Millions TPS”Submitted Apache Druid vs. Time-Series Databases as a story · 150 points
HN discussionIve done 2 data pipelines, one alot like what most people are are talking. The other I had to build for a startup with millions of monthly uniques but only seed funding (cant do a 30+k a month data eng bill). Went with custom event emission->kenisis->(druid & S3) and used imply ( https://imply.io/ ). Easy real time data analytics, auto "enrichment with druid lookups from a RDBMS, and a simple ui for slice/dice inves…
Comment linking /
on “Ask HN: What does your BI stack look like?”Submitted Apache Druid 0.18 as a story · 40 points
HN discussionThis is impressive work: it's time consuming to set up and benchmark so many different systems! Impressiveness of the effort notwithstanding, I also want to encourage people to do their own research. As a database author myself (I work on Apache Druid) I have really mixed feelings about publishing benchmarks. They're fun, especially when you win. But I always want to caution people not to put too much stock in them.…
Comment linking /blog/druid-nails-cost-efficiency-challenge-against-clickhouse-and-rockset/
on “Show HN: A benchmark for analytical databases (Snowflake, Druid, Redshift)”Submitted Exactly-Once Streaming Ingestion in Druid as a story · 32 points
HN discussionHow does Clickhouse stack up against Druid? We're trying to make a decision on the two technologies, and found this recent article that shows Druid 8x faster than Clickhouse - https://imply.io/post/druid-nails-cost-efficiency-challenge-...
Comment linking /post/druid-nails-cost-efficiency-challenge-against-clickhouse-and-rockset
on “What's New in ClickHouse 21.12”Submitted Why Vertica Customers Adopt Apache Druid for Real-Time Analytics as a story · 31 points
HN discussionFWIW, Imply repackaged Druid in such a way that should make it much much easier to set up and evaluate. We've been porting our docs over to Druid for 0.9.0: http://imply.io/docs/latest/quickstart There's also a production-ready docker distribution: https://hub.docker.com/r/imply/imply/
Comment linking /docs/latest/quickstart
on “Druid: fast column-oriented distributed data store”Submitted Imply – Exploratory Analytics Powered by Druid as a story · 29 points
HN discussionDruid's main value add to the data infrastructure space is around power user-facing data applications at scale. The queries it is best at are OLAP/business intelligence style queries. It isn't really designed to be a general processing tool such as Hadoop or Spark. The open source data space is very complex, and there are many different solutions targeted towards many different use cases. Druid is better than other…
Comment linking /post/2015/11/04/big-data-zoo.html
on “Druid: fast column-oriented distributed data store”Submitted Apache Druid new multi-stage query engine, SQL based ingest, ETL in the database as a story · 22 points
HN discussionI know a few companies that use Imply Cloud to set up and manage Druid. I linked it if you want to check it out. https://imply.io/product/imply-cloud
Comment linking /product/imply-cloud
on “Clickhouse Local”Submitted Role of partitioning and data locality in the performance of druid cluster as a story · 6 points
HN discussionDruid also does this, with pre-aggregation of streaming data along predefined dimensions for very fast cube-based analytics. It's not a relational database though and is just now getting a SQL interface through Apache Calcite. http://druid.io/ Imply is a startup with a modern cloud/on-prem distribution of Druid with a built-in visualization and querying tool: https://imply.io/
Comment linking /
on “PipelineDB v0.9.9 – One More Release Until PipelineDB Is a PostgreSQL Extension”Submitted Apache Cassandra vs. Apache Druid as a story · 5 points
HN discussionSurprised http://druid.io/ wasn't mentioned. This db was made specifically for both real time analytics and batch analytics. It even has a nice front end http://imply.io/
Comment linking /
on “Analytics 101: Choosing the right database”Submitted A Tour Through the “Big Data” Zoo as a story · 5 points
HN discussionMentioned on this list, Druid is #1 is my book. Imply[0] has a very nice system built around Druid. [0] https://imply.io/
Comment linking /
on “Top Ten Time Series DBs”Submitted Swimming in the Data River or: How We Got to Streaming Analytics as a story · 4 points
HN discussionYour example join output at https://imply.io/post/introducing-apache-druid-0-18-0 has the incorrect answers for the join.
Comment linking /post/introducing-apache-druid-0-18-0
on “Apache Druid 0.18”Submitted Swimming in the Data River Or: How We Got to Streaming Analytics as a story · 4 points
HN discussionI've been using Druid in production for our analytics platform for quite some time now. This is excellent news! For an easy entry in to Druid, check out http://imply.io/ :) Congrats to devs and contributors! I owe you all a pallet of beer. <3 you guys!
Comment linking /
on “Druid 0.9.0 Released”Submitted Clickstream Funnel Analysis with Apache Druid as a story · 4 points
HN discussionSubmitted Apache Druid on Google Cloud Platform (GCP) Reference Architecture as a story · 4 points
HN discussionSubmitted Apache Druid vs. Snowflake as a story · 3 points
HN discussionSubmitted Apache Druid vs. ClickHouse: Choosing the best real-time analytics database as a story · 3 points
HN discussionSubmitted Why data needs more than CRUD as a story · 3 points
HN discussionSubmitted Multi-dimensional range partitioning in Apache Druid as a story · 3 points
HN discussionSubmitted Apache Druid announces new engine as a story · 3 points
HN discussion
