Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
Fergi
searching Neon…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
4 ms
·
1.
▲
by
Fergi
4y ago
From Craft: https://m.youtube.com/watch?v=vBkzm4a7iY4&feature=youtu.be
2.
▲
by
Fergi
5y ago
In 2015 Razorpay pitched themselves as “Stripe for India.” Look at them now!
3.
▲
Salesforce backs Indian payments startup Razorpay
(techcrunch.com)
2 points
by
Fergi
5y ago
|
0 comments
4.
▲
India’s Razorpay raises funds at $3B valuation ahead of Southeast Asia launch
(techcrunch.com)
2 points
by
Fergi
5y ago
|
0 comments
5.
▲
Razorpay’s $100M Series D Funding
(razorpay.com)
1 points
by
Fergi
6y ago
|
0 comments
6.
▲
Confluent Raises $250M at a $4.5B valuation
(confluent.io)
3 points
by
Fergi
6y ago
|
0 comments
7.
▲
PipelineDB Is Joining Confluent
(pipelinedb.com)
10 points
by
Fergi
7y ago
|
0 comments
8.
▲
by
Fergi
8y ago
This is exactly correct. Private blockchains create efficiency between large institutions like JP Morgan and other banks who are constantly moving large volumes of money around by eliminating the traditional processes in place required to m
9.
▲
High-Performance Time-Series Aggregation for PostgreSQL 11
(pipelinedb.com)
4 points
by
Fergi
8y ago
|
0 comments
10.
▲
by
Fergi
8y ago
Yes, that is my opinion. And if it's possible to build something minimal that helps demo or describe the product to users, it's totally reasonable to build that thing quickly and take it to customers for feedback. The pitfall to a
11.
▲
by
Fergi
8y ago
(Jeff from PipelineDB & post author here) Thanks for this comment. I think you articulated the thought process that this post aims to speak to beautifully. Builders do want to build, and finding an audience first and doing the type of t
12.
▲
by
Fergi
8y ago
(Jeff from PipelineDB / author here) Thanks for the honest feedback. You are definitely correct that there are many successful projects and businesses that did not start with a clear sense that people would use or buy their products. B
13.
▲
by
Fergi
8y ago
I think this is a smart strategy, and is essentially using marketing in the same way that this post suggests using sales, to gauge customer interest in a potential product. The extent to which manual sales outreach or the kind of marketing
14.
▲
by
Fergi
8y ago
(Jeff from PipelineDB / author here) Good questions! I would definitely suggest being straightforward and honest with the potential customers you're talking to. And ideally, it would be better to have a MVP you can demo than nothi
15.
▲
Sales mistakes that software engineers make
(pipelinedb.com)
777 points
by
Fergi
8y ago
|
201 comments
16.
▲
by
Fergi
8y ago
No, not currently; however, we offer hosted deployments of PipelineDB as well as a SaaS product called Stride (stride.io), which is based on PipelineDB.
17.
▲
by
Fergi
8y ago
Just out of curiosity, do you have a specific use case that necessitates stream-stream JOINs, or were you just exploring the docs and wondering about this?
18.
▲
by
Fergi
8y ago
Fundamentally different approaches. Citus focuses on horizontal scaling for PostgreSQL and PipelineDB focuses on continuous aggregation for large volumes of streaming time-series data.
19.
▲
by
Fergi
8y ago
This only applies to continuous views, not all PG tables. Think of continuous views in PipelineDB as very high throughput, incrementally updated materialized views. Raw data hits continuous queries in PipelineDB (continuous views) and only
20.
▲
by
Fergi
8y ago
PostgreSQL 11 support is imminent =)
21.
▲
by
Fergi
8y ago
(Jeff, PipelineDB Co-Founder here) - thanks, Chucky! We appreciate your support!
22.
▲
PipelineDB 1.0 – High-Performance Time-Series Aggregation for PostgreSQL
(pipelinedb.com)
276 points
by
Fergi
8y ago
|
61 comments
23.
▲
by
Fergi
8y ago
We are about to release an open-source extension for PostgreSQL that will help with the bloat problem you mentioned here, at least for continuous updates like high volume aggregation (see: pipelinedb.com). PipelineDB will be refactored as a
24.
▲
by
Fergi
8y ago
Perhaps the most ironic thing I've read in a while: "Suicides would also decrease, as the most of them are result of depression, which is mostly caused by anxiety about survival."
25.
▲
by
Fergi
8y ago
The storage engine for PipelineDB is PostgreSQL and the output of continuous SQL queries (continuous views in PipelineDB) is stored in what are essentially incrementally updated, realtime tables. You can think of PipelineDB as very high thr
26.
▲
by
Fergi
8y ago
Powering real-time reporting dashboards is definitely the #1 use case we see for PipelineDB from open source users and customers of our new SaaS product powered by PipelineDB, called Stride (stride.io).
27.
▲
PipelineDB v0.9.9 – One More Release Until PipelineDB Is a PostgreSQL Extension
(pipelinedb.com)
122 points
by
Fergi
8y ago
|
23 comments
28.
▲
by
Fergi
9y ago
Not for streaming analytic workloads, because PipelineDB fundamentally adds continuous queries to PostgreSQL, so data is continuously distilled and aggregated as it arrives, before it is stored, which drastically reduces the amount of data
29.
▲
by
Fergi
9y ago
PipelineDB will become a standard, open-source PostgreSQL extension this year, enabling anybody using PostgreSQL to leverage continuous SQL queries in combination with all other PostgreSQL functionality. https://www.pipelinedb.co
30.
▲
PipelineDB 0.9.8 – PostgreSQL Extension Refactor Nearing Completion
(pipelinedb.com)
2 points
by
Fergi
9y ago
|
0 comments
More ›