vue domo網(wǎng)站

Let me be your BI consultant. Best yet, let me be your free consultant on the following question:

讓我成為您的BI顧問(wèn)。 最好的是，讓我成為您的免費(fèi)顧問(wèn) ，解決以下問(wèn)題：

DOMO vs. Tableau — What should I use?

DOMO vs. Tableau-我應(yīng)該使用什么？

I’ve had the privilege of working in both BI tools, and I can say that both platforms have their strengths and weaknesses.

我曾經(jīng)有過(guò)使用這兩種BI工具的特權(quán)，我可以說(shuō)這兩種平臺(tái)都有其優(yōu)點(diǎn)和缺點(diǎn)。

Tableau is definitely more widely used than DOMO, but is that because it is better than DOMO? On the other hand, DOMO has an insane and almost cult-like following with events like its yearly DOMOpalooza, but is it better than Tableau?

Tableau肯定比DOMO用途更廣泛，但這是因?yàn)樗菵OMO更好嗎？ 另一方面，DOMO像其每年的DOMOpalooza這樣的事件都有瘋狂的，幾乎是邪教般的追隨者 ，但是它比Tableau好嗎？

Time to hash this out. Gloves on. Let’s make this a clean fight.

是時(shí)候解決這個(gè)問(wèn)題了。 戴上手套。 讓我們進(jìn)行一場(chǎng)干凈的戰(zhàn)斗。

Data consultants, are you ready?

數(shù)據(jù)顧問(wèn)，您準(zhǔn)備好了嗎？

Let’s Go!

我們走吧！

第一輪：連接到數(shù)據(jù)源 (Round 1: Connecting to Datasources)

Winner: DOMO — No Contest

獲獎(jiǎng)?wù)?#xff1a; DOMO-無(wú)比賽

No contest. DOMO wins hands with its 1K+ data connectors. Tableau has the main integrations that you’ll want like Excel, Salesforce, PostgreSQL and such, but DOMO just has a MASSIVE amount of supported connections.

沒(méi)有比賽。 DOMO憑借其1K +數(shù)據(jù)連接器獲勝。 Tableau具有您想要的主要集成 ，如Excel，Salesforce，PostgreSQL等，但是DOMO僅有大量支持的連接。

Easy. Round 1 to DOMO.

簡(jiǎn)單。 第一輪進(jìn)入DOMO。

第二輪：易用性 (Round 2: Ease of Use)

Winner: DOMO — Close Win

獲勝者： DOMO —接近勝利

Tableau and DOMO are pretty user friendly, and you can easily connect your data sets and get creating dashboards quickly.

Tableau和DOMO非常易于使用，您可以輕松連接數(shù)據(jù)集并快速創(chuàng)建儀表板。

Both platforms provide point-and-click functionality and don’t require you to know how to do code, and both provide coding capabilities with SQL.

兩種平臺(tái)都提供了點(diǎn)擊功能，并且不需要您知道如何編寫代碼，并且都提供了SQL編碼功能。

I found Tableau’s online dashboard creator to be a little clunky and hard to maneuver. DOMO’s cards and dashboards are just easier to manipulate in dashboards, and its stories capability just takes it over the line.

我發(fā)現(xiàn)Tableau的在線儀表板創(chuàng)建者有些笨拙且難以操縱。 DOMO的卡片和儀表板更易于在儀表板中進(jìn)行操作，其故事功能使它更容易使用。

第三回合：合并和清理數(shù)據(jù) (Round 3: Combining and Cleaning Data)

Winner: DOMO

獲獎(jiǎng)?wù)?#xff1a; DOMO

DOMO has an amazing ability to combine expert and easy to use ETL and data flow visualizations without requiring the user to know how to code in SQL. But if you want to get deep into your SQL joins and data cleaning, DOMO provides a nice MySQL workspace where you can do exactly what you want with your datasets.

DOMO具有將專家級(jí)和易于使用的ETL和數(shù)據(jù)流可視化相結(jié)合的驚人能力，而無(wú)需用戶知道如何用SQL進(jìn)行編碼。 但是，如果您想深入了解SQL連接和數(shù)據(jù)清理，DOMO提供了一個(gè)不錯(cuò)MySQL工作區(qū)，您可以在其中精確地執(zhí)行數(shù)據(jù)集所需的工作。

DOMO also provides Beast Mode functions where you can do SQL functions like CASE WHEN queries to clean data right on a chart on a dashboard. It’s super neat, and I love it!

DOMO還提供了“野獸模式”功能，您可以在其中執(zhí)行諸如CASE WHEN查詢之類SQL功能，以清除儀表板上圖表上的數(shù)據(jù)。 超級(jí)整潔，我喜歡它！

Beasty Beast Mode!野獸野獸模式！

Tableau does have the ability to do SQL functions right on a chart, but it’s not as nice. It also has Tableau Prep Builder, but it is not as clean as DOMO’s user interface. In addition, I found that to do a lot of the data cleaning and matching between datasets, you’re going to need another add-on platform called Alteryx to really do all of what DOMO can do. Alteryx looks like a great platform as well, but it’s a whole other software that you’ll have to purchase to make Tableau function like DOMO.

Tableau確實(shí)可以在圖表上執(zhí)行SQL函數(shù)，但是效果不佳。 它還具有Tableau Prep Builder ，但不如DOMO的用戶界面那么干凈。 此外，我發(fā)現(xiàn)要在數(shù)據(jù)集之間進(jìn)行大量數(shù)據(jù)清理和匹配，您將需要另一個(gè)名為Alteryx的附加平臺(tái)來(lái)真正完成DOMO可以完成的所有工作。 Alteryx看起來(lái)也像是一個(gè)不錯(cuò)的平臺(tái)，但是要使Tableau功能像DOMO一樣，您還必須購(gòu)買它是一整套其他軟件。

In short, DOMO’s Magic ETL and Beast Mode features are more fun to use than Tableau’s. #roundtoDOMO

簡(jiǎn)而言之，與Tableau相比，DOMO的Magic ETL和Beast Mode功能更有趣。 #roundtoDOMO

第四輪：數(shù)據(jù)科學(xué)深潛 (Round 4: Data Science Deep Dives)

Winner: Draw — R Plugin Functionalities

獲勝者： Draw — R插件功能

This is where you make data scientists super happy. Both Tableau and DOMO connect directly to R, sending data to and from your favorite R development platform. What you can do with this is functionality is AMAZING!

這是讓數(shù)據(jù)科學(xué)家超級(jí)高興的地方。 Tableau和DOMO都直接連接到R，并與您喜歡的R開發(fā)平臺(tái)之間發(fā)送數(shù)據(jù)。 您所能做的就是功能驚人！

Got year-by-year customer data and want to know who is most likely to purchase a new product based on past purchasing history? R is the place to do that analysis, process the predictions, and send the data to be presented in a Tableau/DOMO dashboard. When I did this in with DOMO, I used R Studio and had a data-wowing time.

獲得逐年的客戶數(shù)據(jù)，并想根據(jù)過(guò)去的購(gòu)買歷史來(lái)了解誰(shuí)最有可能購(gòu)買新產(chǎn)品？ R是進(jìn)行分析，處理預(yù)測(cè)并發(fā)送要在Tableau / DOMO儀表板中呈現(xiàn)的數(shù)據(jù)的地方。 當(dāng)我使用DOMO進(jìn)行此操作時(shí)，我使用了R Studio，并且數(shù)據(jù)時(shí)間很長(zhǎng)。

第五輪：公共數(shù)據(jù)和使用的儀表板 (Round 5: Dashboards for Public Data and Usage)

Winner: Tableau — No Contest

優(yōu)勝者： Tableau-無(wú)比賽

Tableau has a free tool called Tableau Public where you can easily create and share your dashboards on public websites via their embed features. Free. Easy to set up. You just have to commit to the data being consumed publicly, so don’t publish your private data here!

Tableau有一個(gè)名為Tableau Public的免費(fèi)工具，您可以在其中通過(guò)其嵌入功能在公共網(wǎng)站上輕松創(chuàng)建和共享儀表板。 自由。 易于設(shè)置。 您只需要承諾公開使用的數(shù)據(jù)，因此不要在此處發(fā)布您的私人數(shù)據(jù)！

As it currently stands, DOMO isn’t truly meant for publicly sharing data. It does have features like DOMO Everywhere and embeded cards enabling the public sharing of data, but from what I understand, it can’t compete with Tableau Public’s $0 price tag.

就目前而言，DOMO并不是真正意義上的公開共享數(shù)據(jù)。 它確實(shí)具有DOMO Everywhere之類的功能，并且具有可公開共享數(shù)據(jù)的嵌入式卡 ，但是據(jù)我了解，它無(wú)法與Tableau Public的$ 0價(jià)格標(biāo)簽競(jìng)爭(zhēng)。

In short, if you’re sharing your data publicly, use Tableau Public or Google Data Studio.

簡(jiǎn)而言之，如果您要公開共享數(shù)據(jù)，請(qǐng)使用Tableau Public或Google Data Studio 。

第六輪：價(jià)格 (Round 6: Price)

Winner: Tableau — No Contest

優(yōu)勝者： Tableau-無(wú)比賽

This is the kicker.

這就是踢腿。

DOMO’s price is not for the faint of heart, and they really don’t share their pricing model. But from what I’ve read online about the starter plan from 2018, you’re looking at about $6K for 5 users. For their premium plans, you’re looking at $20K+.

DOMO的價(jià)格不適合膽小者，而且他們確實(shí)不共享其定價(jià)模型。 但是從我在線閱讀的關(guān)于2018年的入門計(jì)劃的內(nèi)容來(lái)看，您需要為5個(gè)用戶支付約6,000美元。 對(duì)于他們的高級(jí)計(jì)劃，您需要花費(fèi)2萬(wàn)美元以上。

DOMO is a thoroughbred racehorse, no question. You pay for a great platform, you get a great platform.

毫無(wú)疑問(wèn)，DOMO是一匹純種賽馬。 您為一個(gè)出色的平臺(tái)付費(fèi)，就得到一個(gè)出色的平臺(tái)。

Tableau charges $70/user for creators and $35/user for other analytics users (min of 5 users). This in comparison with DOMO’s 2018 standard plan reported prices would be about half the cost ($2.9K).

Tableau對(duì)創(chuàng)建者收費(fèi)70美元/用戶，對(duì)其他分析用戶收費(fèi)5美元/用戶(至少5個(gè)用戶)。 與DOMO的2018年標(biāo)準(zhǔn)計(jì)劃報(bào)告的價(jià)格相比，這大約是成本的一??半(2.9K美元)。

戰(zhàn)斗獲勝者：DOMO，如果您擁有硬幣… (Fight Winner: DOMO, if you have the coin…)

I’ll be honest; I’m a little biased towards DOMO here because its such a dream to work with, but it really is an enterprise-level software that only organizations with larger pockets can purchase. It probably will be price-exclusive for the near future because it is more of a niche player, but maybe it will drop its price in the future and open its market appeal.

我會(huì)說(shuō)實(shí)話 我在這里對(duì)DOMO有點(diǎn)偏見，因?yàn)榭梢詫?shí)現(xiàn)它的夢(mèng)想，但這確實(shí)是一種企業(yè)級(jí)軟件，只有大筆錢的組織才能購(gòu)買。 它可能在不久的將來(lái)是價(jià)格專有的，因?yàn)樗袷且粋€(gè)利基市場(chǎng)，但也許它將在未來(lái)降低價(jià)格并打開其市場(chǎng)吸引力。

Tableau is a great option, and it’s also super awesome to work with. It shines with Tableau Public and how quick it is to get off the ground, but it requires additional tools and isn’t as user-friendly as DOMO.

Tableau是一個(gè)不錯(cuò)的選擇，并且使用起來(lái)也很棒。 Tableau Public令人贊嘆不已，它起步的速度非常快，但它需要其他工具，并且不像DOMO那樣易于使用。

TL;DR: If you have the budget, get DOMO. If you’re on a budget, Tableau works great. If you need free, Google Data Studio #forthewin!

TL; DR：如果您有預(yù)算，請(qǐng)獲取DOMO。 如果您預(yù)算有限，Tableau的效果很好。 如果需要免費(fèi)，請(qǐng)使用Google Data Studio #forthewin！

Note: I nor my data consulting company was compensated by DOMO or Tableau for this article. I just want to help other data scientists and companies have better insight in both platforms from an end-user perspective. Information can be hard to compare between the tools, and I hope my first-hand experience and analysis of both platforms can help inform your BI decision.

注意： 我和我的 數(shù)據(jù)咨詢公司 都 沒(méi)有 獲得DOMO或Tableau的賠償。 我只是想幫助其他數(shù)據(jù)科學(xué)家和公司從最終用戶的角度更好地了解這兩個(gè)平臺(tái)。 這些工具之間的信息很難進(jìn)行比較，我希望我對(duì)這兩個(gè)平臺(tái)的第一手經(jīng)驗(yàn)和分析能夠幫助您做出BI決策。

翻譯自: https://medium.com/swlh/domo-vs-tableau-round-by-round-18aae0d6bf60

vue domo網(wǎng)站

總結(jié)

以上是生活随笔為你收集整理的vue domo网站_DOMO与Tableau-逐轮的全部?jī)?nèi)容，希望文章能夠幫你解決所遇到的問(wèn)題。

如果覺(jué)得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。