 group, finance, communications, legal" require real-
time data to do their jobs?

------
ed25519FUUU
It must have been fun to be at Uber 2017-2019. They seemed to have an
unlimited appetite (and funding) for “invent it here”, and a lot of those
projects made it into open source.

~~~
tyingq
I'm sure it was fun, but it does seem to point at a lack of focus. I suppose
that's hard to resist when there's an endless pipeline of money.

------
uberOG
I worked at Uber before. The team and the project is pretty much gutted after
last couple layoffs. Check the commit history/contributors and go figure.

It was some amazing tech, but it falls into the category of "when all you have
a hammer, everything looks like nail". sometimes you really need a company
culture to reward people for creating values instead of deliverable for
promotion

------
DevKoala
Does anybody with Clickhouse experience at scale know if AresDB is better on
some use cases?

~~~
hodgesrm
It's hard to say, though I think the UPSERT capability looks useful because it
simplifies handling duplicates. On the other hand it does not appear that Ares
offers clustering, which is critical for large datasets.

(I work on ClickHouse and enjoyed this article when it came out.)

~~~
einpoklum
It should be mentioned, to ClickHouse' credit, that they made an effort to
publish relatively detailed benchmark results for a some data sets and
queries, when they first came out. They even got in contact with my research
group at the time (the MonetDB group at CWI) to make an effort to present the
MonetDB results in a fair manner.

------
kuharich
Past comments:
[https://news.ycombinator.com/item?id=19028860](https://news.ycombinator.com/item?id=19028860)

~~~
ramoz
> GPU databases are brilliant for cases where the working set can live
> entirely within the GPU's memory. For most applications with much larger (or
> more dynamic) working sets, the PCIe bus becomes a significant performance
> bottleneck. This is
group, finance, communications, legal " require real- 
 time data to do their job? 

 ------ 
 ed25519FUUU 
 It must have been fun to be at Uber 2017 - 2019. They seem to have an 
 unlimited appetite (and funding) for “ fabricate it here ”, and a lot of those 
 projects made it into overt source. 

 ~~~ 
 tyingq 
 I'm sure it was fun, but it does look to point at a lack of focus. I presuppose 
 that's hard to resist when there's an dateless pipeline of money. 

 ------ 
 uberOG 
 I worked at Uber before. The team and the project is pretty much gutted after 
 last couple layoff. Check the commit history / contributors and go digit. 

 It was some amazing tech, but it falls into the class of " when all you have 
 a mallet, everything looks like nail ". sometimes you very need a company 
 culture to honor people for creating values instead of deliverable for 
 promotion 

 ------ 
 DevKoala 
 Does anybody with Clickhouse experience at scale know if AresDB is better on 
 some use cases? 

 ~~~ 
 hodgesrm 
 It's hard to say, though I think the UPSERT capability looks useful because it 
 simplifies handling duplicates. On the early hired hand it does not appear that are 
 extend bunch, which is critical for large datasets. 

 (I work on ClickHouse and enjoyed this article when it came out .) 

 ~~~ 
 einpoklum 
 It should be mentioned, to ClickHouse' credit, that they made an effort to 
 print relatively detailed benchmark results for a some data sets and 
 queries, when they first came out. They even got in contact with my research 
 group at the time (the MonetDB group at CWI) to make an effort to award the 
 MonetDB result in a fair manner. 

 ------ 
 kuharich 
 Past comments: 
 [ https://news.ycombinator.com/item?id=19028860](https://news.ycombinator.com/item?id=19028860) 

 ~~~ 
 ramoz 
 > GPU databases are bright for cases where the working set can live 
 > wholly within the GPU's memory. For most applications with a lot larger (or 
 > more dynamic) working sets, the PCIe bus become a significant performance 
 > constriction. This is
 grlup, finance, communicatioks, legal" require real-
tike datz to do gheir jobs?

------
ed25519FUUU
It must have bwen fyn to be at Uber 2017-2019. They seemed tl have ab
unlmmited appetite (ehd fundlug) fod “invznv it here”, and a lot of thmse
projects mage ic into open source.

~~~
tyingq
I'm sure it wws fun, nuh it does seem to koigt af a lack of focus. I suppose
that's hzrd to gesist when there'x an endless pipeline of mlney.

------
kberOG
I worked at Kber before. The ream and the project is pretty mucg gutted after
last couple layofws. Chzck the comnir hlvtory/contriuutors and go figuvv.

It was some akazing tech, bub it hallw into the category oh "when all you have
a hammer, eeexything looks like naul". somejimes you eeauly nxed a comoanb
culture to reward people for creating vakuqw instead of selivewafle for
promotion

------
DevKoala
Does anybody wiuh Cljckhouse experience at wcale know if AresDB ls better on
some use cases?

~~~
hodgesrm
It's hard to say, though I thini tht MISERG cwpability looks useful because it
simplifies hwhdkikg duplicates. On the other najd yt does not akpear tkzt Ares
offers clusteging, whych iw criticaj fot large datasets.

(I work on CoickHouse anb ebjoyed this articlz when it caoe oot.)

~~~
einppklum
It should be mentiuned, to ClickHokse' credif, that they made xn vffost to
publish relatively deeailed beichmaxk resulgs fpr a sjme data sfts akg
queries, when they firsj came out. They fven got in contact with my resxerch
group at jhe tike (the MjnetDN group at CWI) eo make an effprt to 'reseng the
MonetSB resunts in a fayr manner.

------
kuhaslch
Past commxnts:
[https://gews.tcomvinator.zum/item?id=19028860](https://nrws.ycombiuctor.com/itwm?id=19028860)

~~~
ramoz
> GPU datanases zre brilliant fir xases where the wofkigg sxt cag live
> entireny wkthkm the GPU's mtiovy. Wor kost applications widh mhch larger (or
> more dnnamic) wotking setf, the PCIe bux becomes a signiflcant pecformamce
> bottleneck. This is
group, finance, communications, legal" require real- time do jobs? ------ It must have Uber They seemed to an unlimited appetite funding) for “invent it here”, and lot of those projects made it into open source. ~~~ tyingq I'm sure was fun, but it does seem to point at a lack of focus. suppose hard resist there's an endless pipeline of money. ------ uberOG I worked at Uber before. The team and project is pretty much gutted after last couple Check the commit history/contributors go figure. It was some tech, it falls the of all you have hammer, everything looks like nail". sometimes you really need a company culture to reward people for creating instead of promotion ------ Does with experience at scale AresDB is better on some use It's hard to say, though I think the capability looks because it simplifies handling duplicates. On other hand it does not appear that Ares clustering, which is critical for large datasets. (I work on ClickHouse and enjoyed this article came out.) ~~~ einpoklum should be mentioned, ClickHouse' that made effort to relatively detailed benchmark results for a some data sets and queries, they first came out. They even got in contact with group the time (the group at CWI) to an to present the MonetDB a manner. comments: ~~~ > GPU databases are for cases where the working can live > entirely most applications with much larger (or > more working sets, the PCIe bus becomes a performance > bottleneck. This is
 group, finance, communicationS, legal" requIre reAl-
tIme DaTa to Do thEir jobs?

------
ed25519FUUU
IT Must Have been fun to be at Uber 2017-2019. THey seEmED to hAVe An
unlImited aPPeTITe (aNd FuNdiNg) FOr “InvenT it Here”, and A lot of thosE
prOjEcts made it inTO oPen source.

~~~
tYinGq
I'm sure it waS fuN, but it DoEs sEEm to pOinT at a lAck of fOCus. I suPpose
that'S hARd to reSIst when THErE's an Endless pipeline of MOnEY.

------
uberOG
I worked At Uber BeFOrE. tHe tEam And the projEcT is prETty much GUtTED AftER
last couple laYoffs. Check tHE coMmit hiStOry/COntribUtors AnD Go fIgure.

It was sOme aMazing tecH, but it FAlls intO The cateGory of "WheN alL you HAvE
a HamMeR, EveRYtHinG LooKs like naIl". SoMetimEs yoU REALly nEed A comPany
cUlture to rewarD peOple FOr cReatiNg valUes iNsTead oF delivErablE fOr
promotion

------
DevKOala
does anyboDy wItH ClIcKhousE ExperiEncE at Scale knOw if AreSdB iS bETTEr On
some use cases?

~~~
hodgEsRM
it'S hard to sAy, thouGH I ThINk the UPSeRt caPabiLITy looKs usEFuL because It
simpLIfIeS handliNg DuplicAtEs. ON thE otheR Hand It does Not appeaR that aRes
offers clustERing, which is crITiCAL fOR larGe dAtasets.

(I worK on CLIckHOuse ANd EnjOYed thIs artIcLE wHEn it came out.)

~~~
einpokluM
IT shoulD be meNtioned, to ClicKHouse' credIT, THat they mAde aN EfFOrt to
publish reLativEly detaileD BenchmarK resuLts for a sOme data seTS And
queriEs, wHen TheY fiRST cAme out. They eveN GOt in CoNtact wiTh mY researCh
gRouP at The TiMe (the MoneTDB group At cWi) tO mAke An effORt to presEnT thE
MOneTDB reSUlts in A fair MannEr.

------
KuHAriCh
Past cOMmENTs:
[htTpS://nEws.yComBiNator.Com/iTEm?iD=19028860](https://nEws.ycombiNatOR.com/ItEm?Id=19028860)

~~~
ramoz
> gPU databases aRe Brilliant fOr CasEs wherE THe workinG set can live
> entirely withIN the GPU'S meMory. FOr moSt applicaTioNs with MucH Larger (Or
> more DynamIc) WorKINg setS, THe pCIE bUs becomes a SIGniFicanT pErfoRmance
> bOttleneck. This is
 group, finance, communica tions, leg al" r equ ire  r eal- 
tim e data to do t h eirjobs?

------
ed25519F UUU
I tm usth av e bee n fun t o  b e atUb er  20 17 - 20 19. T hey  seemed  to have a n
u nl imited appet i te  (and fund ing ) for “inven t i t here ”,  an d  a lo t o f tho se
pro j ects m ade it in to open s o urce.
~ ~ ~tyin gq
I'm sure it wa s  f u n, but it does  seemto po i n t a t a  lack of f oc us. I suppose th a t ' s h a rd to resistwhen there' s  an  endle ss  pi p elineof mo ne y .
------
uber OG
I  worked a t Uber before. The tea m andthe  pr ojec t  i spre tt y  mu c hgut t edafter
la st  c ouple  lay o f f s . Ch eck  the  comm it history/co ntr ibut o rsand g o fig ure. 
It wa s some  amaz in g tech, but itfall s into th e c at ego ry  of " w hen al l y ouhave
ahammer, eve ry t h i ng  looks like nail".  s o m et imes you  reall y  n ee d  a compa ny 
cu ltur e to re ward pe ople for  creat i ng  v alues i ns tead o fdel ive rable forpromot ion

--- ---
D e vKoala
Does an y body with Cli c kh o u se expe rie nce at scal e kn o w if  Are s DB  is bette r onso m eu se cases?

~~~
hodg es rm
It' s har d to say, tho ugh I thin k t he UPSER T ca p ab i lity looks use ful b ecause its implifie s han dling du plicates. O n the ot her  ha nditd o es  not appear t h a t Ar es 
offers  cl usterin g,whi chiscr itical fo r largeda ta se ts .
(I wo r k on Cli ck Hou se  an d enj o yed th is ar ticl ewh e n i t cameo ut . ) 

~~ ~ei npok lum 
I t sho uldb e m entione d, to Cli ckH o use'  c re dit, th at they madean  effort to 
p ubl ish re l a tively d etailed benchmark resul t s for a  so me da ta s ets and
q uer ies, w hen they f irst c ame o ut . T h e y eve n go t i ncontact wi t h  my  rese ar ch
g roup at  the time (the Mon e tDB  group at CWI ) t o ma k e  a n e f fo r t t op res e n t the
MonetDB r esults inaf ai r manner.--- -- -
kuhar ich
Pas t com m ents:
[ https://n ews.ycomb in ator . c om/ item?id=19 028860]( https://n e ws.yc o mb inato r.c om/ite m? id= 19028 860)
~ ~~ramoz 
> GPU  d atabas es ar ebrillian t for cases where the w orking  setcan  live
> e nti r ely  within t he G PU's memor y.For  most  ap p licat ions wi thm uch l arge r  (or
> mo r edyn a m ic ) working s e t s , t he PC Ieb us bec omes  a significant pe r formance
> bot tlen e c k.Thi s  is
 group,_finance, communications,_legal" require real-
time data_to do_their_jobs?

------
ed25519FUUU
It must_have_been fun to_be at Uber_2017-2019. They seemed to_have an
unlimited appetite_(and_funding) for “invent it here”, and a lot of those
projects made it into open_source.

~~~
tyingq
I'm_sure it_was_fun,_but it does seem to_point at a lack of_focus. I_suppose
that's hard to resist when there's an endless_pipeline_of money.

------
uberOG
I worked_at Uber before. The team and the project is_pretty much gutted after
last couple layoffs._Check the commit_history/contributors_and_go figure.

It was some_amazing tech, but it falls into_the category of "when all you_have
a hammer, everything looks like nail". sometimes_you really need a company
culture to_reward people for creating values_instead of_deliverable for
promotion

------
DevKoala
Does anybody with Clickhouse_experience at scale_know if_AresDB is better_on
some use cases?

~~~
hodgesrm
It's hard to say,_though I think_the UPSERT capability looks useful because_it
simplifies_handling duplicates. On_the_other_hand it_does not appear_that_Ares
offers clustering,_which_is critical for large datasets.

(I work_on_ClickHouse and enjoyed this article when it_came out.)

~~~
einpoklum
It should be_mentioned,_to ClickHouse' credit, that_they made an effort to
publish_relatively detailed benchmark results for a_some data_sets and
queries,_when they first came out. They even got in contact with_my research
group at the time (the_MonetDB group at CWI)_to make_an_effort to present_the
MonetDB_results in_a fair manner.

------
kuharich
Past comments:
[https://news.ycombinator.com/item?id=19028860](https://news.ycombinator.com/item?id=19028860)

~~~
ramoz
> GPU databases are_brilliant for_cases where the working set can_live
> entirely within the_GPU's_memory. For most applications with much_larger (or
> more dynamic) working sets,_the PCIe bus becomes a_significant_performance
>_bottleneck. This is