jitsu VS Plausible Analytics

Compare jitsu vs Plausible Analytics and see what are their differences.

jitsu

Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days (by jitsucom)
Our great sponsors
  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
jitsu Plausible Analytics
13 301
3,795 18,032
1.9% 3.1%
9.8 9.8
7 days ago about 14 hours ago
TypeScript Elixir
MIT License GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

jitsu

Posts with mentions or reviews of jitsu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-19.
  • Any examples of working activist, socialist, or community-organizing software?
    5 projects | /r/socialistprogrammers | 19 Jul 2022
  • Lesser Known Features of ClickHouse
    6 projects | news.ycombinator.com | 31 May 2022
    you may check: https://github.com/jitsucom/jitsu. "Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days"

    You can create an API endpoint, and send those JSON to it. In the "destination" part, it can sync to clickhouse (one of many choices, like redshift, snowflake,besides clickhouse) very quickly, and flatten the JSON into columns. If there is new key found in JSON, it will create a new column in clickhouse.

  • Reference Data Stack for Data-Driven Startups
    8 projects | dev.to | 3 Mar 2022
    We also have telemetry set up on our Monosi product which is collected through Snowplow,. As with Airbyte, we chose Snowplow because of its open source offering and because of their scalable event ingestion framework. There are other open source options to consider including Jitsu and RudderStack or closed source options like Segment. Since we started building our product with just a CLI offering, we didn’t need a full CDP solution so we chose Snowplow.
  • Data pipeline suggestions
    13 projects | /r/dataengineering | 4 Feb 2022
    Ingestion / Extraction: Airbyte, Singer, Jitsu
  • Where can I find free data engineering ( big data) projects online?
    14 projects | /r/dataengineering | 27 Jan 2022
    Ingestion / ETL: Airbyte, Singer, Jitsu Transformation: dbt Orchestration: Airflow, Dagster Testing: GreatExpectations Observability: Monosi Reverse ETL: Grouparoo, Castled Visualization: Lightdash, Superset
  • Ask HN: Good open source alternatives to Google Analytics?
    30 projects | news.ycombinator.com | 11 Jan 2022
  • Launch HN: Jitsu (YC S20) – Open-Source Segment Alternative
    7 projects | news.ycombinator.com | 4 Nov 2021
    Hey HN! Vlad here with Sergey, Ildar, and Kirill. We are building Jitsu, an open-source Segment alternative ((https://github.com/jitsucom/jitsu, https://jitsu.com/). We help companies collect events from their apps, websites, and APIs and send them to databases.

    I've been doing data engineering for more than ten years (half of that time, I didn't know that it's called "data engineering”). Before Jitsu, I was a co-founder and CTO of GetIntent, an ad-tech startup. Although it was ad-tech (I'm sorry for that!), we also built a quite fascinating technology platform. We processed up to 1 million events per second at peak, and all those events needed to be stored somewhere.

    We churned through a few data warehouse platforms along the way. In 2013, we started with Hadoop's HDFS and a bunch of map-reduce jobs on top of it. Then, when we decided to allow our customers to run ad-hoc reports, we switched to BigQuery. BigQuery was great, but expensive—especially with some customers obsessively clicking the refresh button. Finally, in 2017 we migrated to self-hosted ClickHouse which in my opinion is still the best analytics database in the world.

    All that time, we spent a fair amount of effort to get data to the database. When you're dealing with millions of events per minute, running an INSERT statement per event won't work. What if the DB is down for maintenance? How can you be sure that all 50+ edge nodes are aware of recent DB schema changes? Also, did you know streaming data to BigQuery is costly while batching data is free?

    We tried different approaches: first, we would write local log files, sync them to HDFS, and load data to BQ (or ClickHouse) with map-reduce jobs. To improve data freshness, we ditched HDFS and started to send data in batches to the DB directly from edge servers. We experimented with Kafka, but it felt too complex for that task at the time.

    I always dreamed about a straightforward service, to which I'd throw JSON objects, and it would take care of the rest: queueing, retrying, updating database schema, etc.

    Then I discovered Segment. I liked it at first. It seemed very developer-friendly with a nice API and excellent documentation. But the pricing model and data delays (the event gets to DB in 12 hours after it has been sent to Segment) killed the whole idea. And it was not open-sourced. In my opinion, being open-source and self-hostable is a must for such a fundamental part of the architecture as data collection.

    I left GetIntent and got accepted to YC with a different idea for the Summer 2020 batch. The idea was to build a churn prevention and BI tool for online retailers. It didn't take off, but in the process we made a component to collect customer's app events and put it to DB. We tried to hack a solution on top of the ELK stack, but I was frustrated with ElasticSearch’s lack of SQL support. Here I was back to square one: there's no good open-source event collection service yet, and we needed to build one, once again.

    So we decided to focus solely on that problem. We ditched all the previous code, which was in Java, rewrote the data collection server in Go and hacked together what we called EventNative [1]. It was received very well, and we started to get users.

    Over the last 11 months, we've been busy building the UI, adding Connectors (to pull data from external APIs), polishing data warehouse support, adding javascript support to transform incoming data, and implementing dozens of other features.

    Now we're launching Jitsu, an open-source Segment alternative. With Jitsu, we make it easy to collect data and send it to databases (we support all major players: ClickHouse, Redshift, Snowflake, BigQuery and Postgres). We’re deployed in production, including into a large gaming publisher, eSignature service, and many other great companies. We're going for an open-core model. So far we don't have paid features, but soon we'll have some, presumably around things like authorization and data masking. Also we run Jitsu.Cloud[2] which you can buy if you don’t want to self-host

    Give it a spin: https://github.com/jitsucom/jitsu.

    Thank you for reading this story - I hope it was interesting. I would love to read your feedback on Jitsu and answer questions!

    [1] https://news.ycombinator.com/item?id=24120325

    7 projects | news.ycombinator.com | 4 Nov 2021
    I’m just saying this is better:

    We are building Jitsu, (https://github.com/jitsucom/jitsu, https://jitsu.com/) We help companies collect events from their apps, websites, and APIs and send them to databases.

    Think of us as an open-source Segment alternative.

    7 projects | news.ycombinator.com | 4 Nov 2021
    Thanks! I take it this file is where I can get started to learn more:

    https://github.com/jitsucom/jitsu/blob/0aaa74b59eb9d8c885c80...

    I see that it instantiates an "AsyncLogger" - does the service wait until data is written to the log prior to returning success to the client?

    7 projects | news.ycombinator.com | 4 Nov 2021
    That's a good question. We're aiming to replace Kafka in some cases. There're many ways how people use Kafka. But it could be roughly divided into two buckets

    - Kafka as a company wide message bus: dozen's of (micro)services sending data there, and consumers listens to data. Each service doesn't know which other service will consume the data. For that case, we're not looking to replace Kafka — we're going to work along with it. We have a PR about supporting Kafka as destination [1] (Jitsu sends data to Kafka), and we will support Kafka as a source at some point (PRs are always welcome :))

    - Kafka is used just as a transport between web-app and DB. In that case Jitsu is a perfect replacement

    [1] https://github.com/jitsucom/jitsu/pull/537

    P. S. The same applies to Kinesis too

Plausible Analytics

Posts with mentions or reviews of Plausible Analytics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-16.
  • Simple no bs persistent notepad
    2 projects | news.ycombinator.com | 16 Mar 2024
    No clue what you mean, browser cache might even clear itself without you doing anything manually. This thing makes no sense.

    Nowhere ever did it say Tech Demo anywhere, not in the HN headline, not on the page itself. No, thanks. And even as a tech demo, there is nothing impressive going in. It is stores shit to local storage, I guess. Lol, I just looked this up, and it was in Firefox on 2009 already? WHAT? https://developer.mozilla.org/en-US/docs/Web/API/Window/loca... I never used it myself directly, but I remember reading about some API that kind of is the new version of cookies that can store more and better and I think that is it. 2009, I would swear what I think about was newer, maybe I am mixing something up, maybe not.

    It has unnecessarily tracking from the comment above, not sure if it even sends all your notes to https://plausible.io, and I do not care. For me, this fails as a tech demo or whatever the fuck It's supposed to be. Sorry to not get all excited about everything posted here. In 2009 it for sure would ;)

    2 projects | news.ycombinator.com | 16 Mar 2024
  • Using Analytics on My Website
    7 projects | news.ycombinator.com | 15 Dec 2023
    If you already use Posthog, Web Analytics has been in Public Beta for quite some time.[1]

    If I remember correctly, CloudFlare Analytics does not need you to register your domain with them. I personally feel keeping domain registration coupled with your DNS provider is not a good idea.

    Plausible[2] has an Open Source self-hostable version but is not so updated in sync with their SaaS version.

    Umami[3] is another simple, clean one. And, of course, as many have suggested, Matomo is the other well-established one. If you want to avoid maintaining a hosting routine, a lot do the hosting out of the box these days. PikaPods[4] was good when I tried and played around for a while.

    1. https://posthog.com/docs/web-analytics

    2. https://github.com/plausible/analytics

    3. https://umami.is

    4. https://www.pikapods.com

    7 projects | news.ycombinator.com | 15 Dec 2023
    > Just use GoAcces for fuck's sake.

    GoAccess seems pretty cool and is probably a good task for the job, when you need something simple, thanks for recommending it: https://goaccess.io/

    Even if you have analytics of some sort already in place, I think it'd probably still be a nice idea to run GoAccess on your server, behind some additional auth, so you can check up on how the web servers are performing.

    That said, I'd still say that the analytics solutions out there, especially self-hostable ones like Matomo, are quite nice and can have both UIs that are very easy to interact with for the average person (e.g. filtering data by date range, or by page/view that was interacted with), as well as have a plethora of different datasets: https://matomo.org/features/

    I think it can be useful to have a look at what sorts of devices are mostly being used to interact with your site, what operating systems and browsers are in use, how people navigate through the site, where do they enter the site from and how they find it, what the front end performance is like, or even how your e-commerce site is doing, at a glance, in addition to seeing how this changes over time.

    People have also said good things about Plausible Analytics as well: https://plausible.io/

  • Open Source alternatives to tools you Pay for
    21 projects | dev.to | 8 Dec 2023
    Plausible - Open Source Alternative to Google Analytics
  • 11 Ways to Optimize Your Website
    12 projects | dev.to | 12 Nov 2023
    There are many good, lightweight, and open-source alternatives to Google Analytics, such as Plausible, Matomo, Fathom, Simple Analytics, and so on. Many of these options are open-source, and can be self-hosted.
  • Ask HN: Is Google Analytics that useful?
    6 projects | news.ycombinator.com | 11 Sep 2023
  • A Developer's Guide to Blogging
    3 projects | dev.to | 26 Aug 2023
    The analytics provider I've gone with is Plausible. Sadly it's not free - about $9 a month - but it's easy to use, lightweight (the script is less than 1kb), and respects privacy, so it's worth a look IMO.
  • Best alternative to GA4 when Google Ads is your most important channel?
    2 projects | /r/PPC | 11 Jul 2023
    Plausible
  • It Took Me a Decade to Find the Perfect Personal Website Stack – Ghost+Fathom
    14 projects | news.ycombinator.com | 9 Jul 2023
    Or you need to use some other static site generator to build the HTML table from JSON.

    Something very simple, but yet so difficult.

    I liked that it was possible to use SQLite3 in production for Ghost. It worked very well and scales as well since it is mostly read operation, but they are officially dropping support for production and using only MySQL. I guess the one argument was, that sending emails for many subscribers was too much for SQLite.

    There is also another good analytics service, without cookies and also fully GDPR compliant: https://plausible.io/

What are some alternatives?

When comparing jitsu and Plausible Analytics you can also consider the following projects:

Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.

Fathom Analytics - Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.

GoatCounter - Easy web analytics. No tracking of personal data.

PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

pirsch - Pirsch is a drop-in, server-side, no-cookie, and privacy-focused analytics solution for Go.

Matomo - Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!

ctop - Top-like interface for container metrics

Shynet - Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.

Ackee - Self-hosted, Node.js based analytics tool for those who care about privacy.

GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP