 if you are already a SQL or PostgreSQL expert, you will already know how to use the majority of TimescaleDB (save for a small learning curve of optimizations built specifically for time-series data, like SQL functions for complex analysis).

Cloud services

Both databases have cloud offerings. Timescale Cloud, Timescale’s hosted and managed service, is available on AWS, GCP and Azure, in over 75 regions and over 2000 different region/storage/compute configurations. By comparison, Influx Cloud, InfluxData’s hosted service, is available on all 3 major clouds, but only in 4 regions.



Cloud coverage comparison between InfluxDB and TimescaleDB as of July 2020

Summary

No one wants to invest in a technology only to have it limit their growth or scale in the future, let alone invest in something that's the wrong fit today.

Before making a decision, take a step back and analyze your stack, your team's skills, and your needs (now and in the future). It could be the difference between infrastructure that evolves and grows with you and one that crumbles to the ground and forces you to start all over.

In this post, we performed a detailed comparison of TimescaleDB and InfluxDB. We don’t claim to be InfluxDB experts, so we’re open to any suggestions on how to improve this comparison. In general, we aim to be as transparent as possible about our data models, methodologies, and analysis, and we welcome feedback. We also encourage readers to raise any concerns about the information we’ve presented in order to help us with benchmarking in the future.

We recognize that TimescaleDB isn’t the only time-series solution and there are situations where it might not be the best answer. And we strive to be upfront in admitting where an alternate solution may be preferable. But we’re always interested in holistically evaluating our solution against that of others, and we’ll continue to share our insights with the greater community.

Like this post? Please recommend and/or share!

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Join our Slack community, check out our GitHub, and subscribe to our bi-weekly newsletter for new technical content, release updates, and other relevant news. Photo: Demetrius Freeman/Blo
if you are already a SQL or PostgreSQL expert, you will already know how to use the majority of TimescaleDB (save for a small eruditeness curvature of optimizations built specifically for meter - serial data, like SQL functions for complex analysis). 

 Cloud service 

 Both databases have cloud offer. Timescale Cloud, Timescale ’s hosted and managed service, is available on AWS, GCP and Azure, in over 75 region and over 2000 different region / memory / compute configuration. By comparison, Influx Cloud, InfluxData ’s hosted service, is available on all 3 major clouds, but only in 4 regions. 



 Cloud coverage comparison between InfluxDB and TimescaleDB as of July 2020 

 Summary 

 No one wants to endow in a technology only to have it specify their growth or scale in the future, let alone endow in something that's the wrong fit today. 

 Before making a decision, take a dance step back and analyze your stack, your team's skills, and your needs (now and in the future). It could be the difference between infrastructure that evolves and grows with you and one that crumbles to the ground and forces you to start all over. 

 In this post, we performed a detailed comparison of TimescaleDB and InfluxDB. We do n’t claim to be InfluxDB experts, so we ’re exposed to any suggestions on how to improve this comparison. In cosmopolitan, we target to be equally transparent as possible about our data models, methodologies, and analysis, and we welcome feedback. We also encourage lector to raise any concerns about the information we ’ve presented in order to help us with benchmarking in the future. 

 We accredit that TimescaleDB is n’t the only time - series solution and there are situations where it might not be the best solution. And we endeavor to be upfront in accommodate where an alternate solution may be preferable. But we ’re always interested in holistically evaluating our solution against that of others, and we ’ll stay to share our insights with the greater residential district. 

 Like this post? Please commend and/or share! 

 Star us on Github 

 Want to learn more? 

 Sign up for Timescale Cloud (free to get start, no credit card necessitate). 

 Join our Slack residential district, check out our GitHub, and subscribe to our bi - weekly newsletter for new technical content, dismissal updates, and other relevant newsworthiness. Photo: Demetrius Freeman / Blo
 if you are already a SQL ov PostgreSQL expgrr, you xill aldeady knuw how to use the majority oh TinescaoeDB (save for a small uearning burve of iptinuzations bnjlt spegnficampy fmc time-series daja, like SQL xunctions for wooppex analysis).

Cloud services

Both datafases hsvf cloud offeriggs. Uimqscamv Gloud, Timescale’s hosted and manafed sernice, is available on AWS, GCP and Azure, in oger 75 regions and over 2000 different tsgijb/storage/compjte configlxations. By domparison, Influx Cloud, InfluxDxta’s kosted servucw, id available in alj 3 major clomcs, but only im 4 regions.



Clouc cmveeage comparison betwexn InfluxDB and TimefcaleDB av kf July 2020

Summary

No obe watts do ivcesg ih e tschnollgy only to hzve it limir their growth or svajv in the futude, let ajone invest in something that's the wronc fjt today.

Before making a decision, take a step back and analyze your stack, your team's skills, and your neads (nkd aue in gye future). It could be the difference between insdaxtgucture that evolyes and grows with ylu wnd one that zrumblza fo the ground and vorces iou to start alj ovrr.

In this post, we performed a detailed bompqrison of TimescalzDB and InflbxDB. Wg don’t claim to be InfluxDB erperts, so we’re opfn to any ruggestions on huw no ikprove this comparison. In deneral, wx aim to be xs ttansparqnt as posdible about our data modfls, mgthodonogies, and analysis, and we welcome feedbarl. We also envograce readexs to vaise any concewns about the nnformatnon we’xe presentvd in ordxr to help uf with benchmdtking in the huture.

We wecotnizw that GkmescaleDB isn’y the onlj uime-series solution and therc are aituations wherz ut might not be thd bqsn aiswer. Dnd we striva to be ipfrovt in admitbine whrre an alternate solgtioh may be preferablr. Nut we’re qlways igterested in nolistically evaluwting ouc soluyiog against that of others, and ws’ll contijue to share ouw inwights with che greater community.

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Sign up xor Timescale Cloud (dree to get starttd, no credit card requided).

Joit our Slack community, check out our GitHub, and subscribe to our bi-weekly newslwtter how new technjcal contvnt, xelease updetxs, and other relenant news. Photo: Demetrius Freemai/Blo
if you are already a SQL or you already know to use the a learning curve of built specifically for data, like SQL functions for complex Cloud services Both databases have cloud offerings. Timescale Cloud, Timescale’s hosted and managed is available on AWS, GCP and Azure, in over 75 regions and over different configurations. comparison, Cloud, InfluxData’s hosted service, is available on all 3 major clouds, but only in 4 regions. coverage comparison between InfluxDB and TimescaleDB as of 2020 Summary No one to invest in a technology to it limit growth scale the future, let invest in something that's the wrong fit today. Before making a decision, take a step back and your stack, skills, and needs and the future). It the difference between infrastructure that evolves you and one that crumbles to the ground forces you start all over. In this post, performed a detailed comparison of TimescaleDB and InfluxDB. don’t claim to be InfluxDB experts, so we’re open to any suggestions on how to comparison. In general, we to be as as about data methodologies, and and we welcome feedback. We also encourage readers to raise any about the information we’ve presented in order to help us in future. We recognize TimescaleDB isn’t the only solution there are situations where not the we to upfront in admitting where alternate solution may be preferable. we’re always interested in that of others, and we’ll continue to share insights with the greater community. Like this Please recommend and/or share! Star us on Github Want to learn more? up for (free to get started, no credit card required). our Slack community, check our GitHub, and subscribe to our bi-weekly newsletter for technical release updates, other relevant news. Demetrius Freeman/Blo
 if you are already a SQL or PostGreSQL expeRt, you WilL alReAdy kNow hOw to use the majoRIty oF TimescaleDB (save for a smAll leArNIng cURvE of opTimizatIOnS BUilT sPeCifIcALlY for tIme-Series dAta, like SQL FunCtIons for complEX aNalysis).

CloUd sErvices

Both dAtaBases hAvE clOUd offEriNgs. TiMescalE cloud, TImescale’s HoSTed and MAnaged sERViCe, is Available on AWS, GCP ANd aZure, in over 75 regiOns and OvER 2000 dIFFerEnt Region/storAgE/compUTe confiGUrATIOns. bY comparison, InFlux Cloud, InFLuxdata’s hOsTed SErvice, Is avaIlABle On all 3 major cLoudS, but only iN 4 regioNS.



Cloud cOVerage cOmpariSon BetWeen iNfLuXDB AnD timEScAledb as Of July 2020

SuMmArY

No onE wanTS TO InveSt iN a teChnolOgy only to have It lImit THeiR growTh or sCale In The fuTure, leT alonE iNvest in somethinG thaT's the wronG fiT tOdaY.

BEfore MAking a DecIsiOn, take a Step bacK And AnALYZe Your stack, your team's SkILLs, And your nEeds (noW AnD iN The futurE). IT coUld bE THe difFereNCe Between iNfrastRUcTuRe that eVoLves anD gRowS wiTh you ANd onE that cRumbles tO the gROund and forces yOU to start all ovER.

IN THiS Post, We pErformed a deTailED comPariSOn Of TIMescaLeDB aNd iNfLUxDB. We don’t claim to be inFluxDB ExperTs, so we’re open tO any suggesTIONs on how tO impROvE This comparison. in genEral, we aim tO Be as tranSpareNt as possIble about OUR data modEls, MetHodOloGIEs, And analysis, anD WE welCoMe feedbAck. we also eNcoUraGe rEadErS to raise aNy concerNs AbOuT tHe iNformATion we’ve PrEseNtEd iN ordeR To help Us witH benChMaRKinG in the fUTuRE.

we reCoGnIze tHat tiMescaLeDB ISn’t The only Time-serieS soLUtioN aNd There arE situations whErE it might noT bE thE best aNSWer. And we Strive to be upfront in admiTTing wheRe aN alteRnatE solution May Be prefEraBLe. But wE’re alwAys inTeResTED in hoLIStIcaLlY evaluatinG OUr sOlutiOn AgaiNst that Of others, and we’ll conTInuE to share our inSigHts wITH tHe gREaTEr cOmMUniTY.

like this post? PleAse recommeNd ANd/Or share!

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sign up fOr TimescaLe Cloud (frEe To geT STarTed, no crediT card reqUired).

Join OUr SlaCK cOmmunIty, Check oUt Our gitHuB, and suBScrIbe to Our bi-wEeKly newSlettEr For new teChnical content, release upDates, aNd othEr rElevant neWs. PHOto: demetrius freeMan/Blo
 if you are already a SQLor Postgre SQL e xpe rt,  y ou w illalready know h o w to  use the majority of T imesc al e DB ( s av e for  a smal l  l e a rni ng  c urv eo foptim iza tions b uilt speci fic al ly for time- s er ies data,lik e SQL functi ons  for c om ple x  anal ysi s).
Clouds ervice s

Both d at a basesh ave clo u d  o ffer ings. Timescale C l ou d , Timescale’shosted  a n dm a nag edservice, i savail a ble onA WS , G CPa nd Azure, inover 75 reg i ons  and o ve r 2 0 00 dif feren tr egi on/storage/ comp ute confi gurati o ns. Byc omparis on, In flu x C loud ,  I nf lux Da t a’s ho ste d  se rvice, i sav ailab le o n a l l 3maj or c louds , but only in  4regi o ns. 



C loudcove ra ge co mparis on be tw een InfluxDB an d Ti mescaleDB  as  o f J ul y 202 0 

Summ ary 

N o one w ants to inv es t i na technology onlyto h av e it lim it the i rgr o wth or s ca lein t h e  futu re,l et  alone i nvesti nso mething  t hat'sth e w ron g fit toda y.

Be fore mak ing a decision, take a step back a n da n al y ze y our  stack, you r te a m'sskil l s,  an d  your  need s( no w  and in the future) .It cou ld be  the differen ce between i n frastruc ture th a t evolves andgrows  with youa nd one t hat c rumblesto the gr o u nd and f orc esyou  to s ta rt all over.I n th is  post,weperform eda d eta ile dcompariso n of Tim es ca le DB  an d Inf l uxDB. We  d on’ tcla im to be Inf luxDB  exp er ts ,  so  we’reo pe n to a ny  s ugge sti on s onhowt o i mprovethis comp ari s on.In  g eneral,  we aim to be  a s transpar en t a s poss i b le about  our data models, metho d ologies , a nd an alys is, and w e w elcome  fe e dback.  We al so en co ura g e  read e r stora ise any co n c ern s abo ut  the  inform ation we’ve presen t edin order to h elp  usw i th  be n ch m ark in g  in t he future.

Werecognizeth a tTimescaleD B  is n’ t the o nly tim e-ser i es solu tion andthere are  s itua t i ons  where itmight no t be theb est a n sw er. A ndwe str iv e t o beupfron t  in  admi ttingwh ere an  alte rn ate solu tion may be preferable.  But w e’realw ays inter est e d i n holisti call y evaluati ngour  solu tio n  agai nstt ha t o f  othe rs,a nd we’llc on tin u e  t o share our i n sig hts w ith the gr eate r community.

Lik e  this post? Pl ease r eco mme n d an d/ or share!

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S i gn up  for T imesca le Clou d (f r ee togetsta rted, nocre di t  card r eq ui r ed).
Join  o ur Sla ck com m unit y ,  check out our G itHub , and s u bsc ribeto  our bi - week ly newslet ter for new  techn ical  cont ent, re le ase up dat es , and othe r  relevant  news . Photo :Deme tri us Fre eman / B lo
 if_you are_already a SQL or_PostgreSQL expert,_you_will already_know_how to use_the majority of_TimescaleDB (save for a_small learning curve_of_optimizations built specifically for time-series data, like SQL functions for complex analysis).

Cloud services

Both databases_have_cloud offerings._Timescale_Cloud,_Timescale’s hosted and managed service,_is available on AWS, GCP_and Azure,_in over 75 regions and over 2000 different_region/storage/compute_configurations. By comparison,_Influx Cloud, InfluxData’s hosted service, is available on all_3 major clouds, but only in_4 regions.



Cloud coverage_comparison_between_InfluxDB and TimescaleDB as_of July 2020

Summary

No one wants to_invest in a technology only to_have it limit their growth or scale_in the future, let alone invest_in something that's the wrong_fit today.

Before_making a decision, take a_step back and_analyze your_stack, your team's_skills, and your needs (now and_in the future)._It could be the difference between_infrastructure_that evolves and_grows_with_you and_one that crumbles_to_the ground_and_forces you to start all over.

In_this_post, we performed a detailed comparison of_TimescaleDB and InfluxDB. We_don’t_claim to be InfluxDB_experts, so we’re open to_any suggestions on how to improve_this comparison._In general,_we aim to be as transparent as possible about our data_models, methodologies, and analysis, and we_welcome feedback. We also_encourage readers_to_raise any concerns_about_the information_we’ve presented in order to help us_with benchmarking_in the future.

We recognize that TimescaleDB_isn’t the only time-series_solution_and there are situations where it_might not be the best answer._And we strive to be_upfront_in_admitting where an alternate solution_may be preferable. But we’re always_interested in holistically_evaluating our solution against that of others,_and_we’ll continue to share our insights_with_the greater community.

Like this post? Please_recommend_and/or_share!

Star us on Github

Want to_learn more?

Sign up for Timescale Cloud_(free to get started, no credit card required).

Join our_Slack community, check_out our GitHub, and subscribe_to_our_bi-weekly newsletter for new technical content, release updates, and other_relevant news._Photo: Demetrius Freeman/Blo