기업의 더 효율적인 소프트웨어
선택을 위한 17년 지원 경험

Mode은(는) 무엇인가요?

무료로 사용해보세요! 데이터 분석가 및 비즈니스 팀을 위한 데이터 분석 및 보고 도구입니다. Mode는 클라우드 기반 SQL 에디터, 통합된 Python 및 R 노트북, 대화형 시각화 기능, 공유 가능한 라이브 보고서 및 대시보드를 결합한 도구입니다. 빠르게 시작하고 한 시간 이내에 질문에 대한 통찰력 있는 정보를 확보할 수 있습니다.

Mode은(는) 누가 사용하나요?

Mode는 비즈니스 결과 중심의 분석 기능을 구축할 수 있도록 데이터 팀을 비즈니스 팀과 통합하는 최신 비즈니스 인텔리전스 플랫폼입니다.

Mode 소프트웨어 - 1
Mode 소프트웨어 - 2
Mode 소프트웨어 - 3
Mode 소프트웨어 - 4
Mode 소프트웨어 - 5

Mode에 대해 확실하지 않으세요? 인기 있는 대안 제품과 비교

Mode

Mode

4.6 (89)
발견된 가격 없음
무료 버전
무료 체험판
57
14
4.4 (89)
4.5 (89)
4.6 (89)
시작 가격
가격 옵션
특징
통합
사용 편의성
비용 대비 가치
고객 서비스 소프트웨어
리뷰 수 많은 제품
US$2,000.00
무료 버전
무료 체험판
110
18
4.3 (265)
4.4 (265)
4.5 (265)
녹색 등급 막대는 평균 등급과 리뷰 수에 따라 결정되는 최우수 제품을 보여줍니다.

Mode의 다른 적합한 대안

Looker
최상위 등급 기능
다중 데이터 소스
데이터 시각화
보고/분석
Sisense
최상위 등급 기능
다중 데이터 소스
데이터 시각화
데이터 커넥터
MicroStrategy Analytics
최상위 등급 기능
데이터 시각화
데이터 커넥터
성능 메트릭

Mode 리뷰

평균 점수

종합
4.6
사용 편의성
4.4
고객 서비스 소프트웨어
4.6
특징
4.4
비용 대비 가치
4.5

회사 규모(직원 수)별 리뷰

  • <50
  • 51-200
  • 201-1,000
  • >1,001

점수별 리뷰 찾기

5
62%
4
36%
3
2%
Sriram
Sriram
미국의 Data Scientist
검증된 LinkedIn 사용자
부동산, 1,001~5,000 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

Great tool for daily data analysis

5.0 5년 전

주석: It is a great place to start for your data analysis requirements

장점:

I like that in a single place I would be able to query data from multiple data sources, visualize them through charts/tables and if needed create python notebooks for further analysis. Also, the ability to share your work and rerun your work by setting schedules is amazing.

단점:

Inability to visualize map data. Not exactly clear on how to custom aggregate data on the Pivot table.

검증된 리뷰어
검증된 LinkedIn 사용자
정보 기술 및 서비스, 1,001~5,000 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

"Mode Analytics Review: A Comprehensive Look at the Data Analysis Platform"

5.0 2년 전

주석: "Overall, Mode Analytics is a powerful tool for data analysis, with the ability to connect, analyze and visualize data from various sources. The SQL-based interface allows for complex queries and advanced analysis. However, the learning curve can be steep, and the pricing can be expensive."

장점:

"Mode Analytics allows me to easily connect, analyze, and visualize data from various sources, making it a great tool for SEO data analysis""The platform's SQL-based interface allows me to create complex queries and perform advanced data analysis, helping me to identify important trends and insights.""The ability to share and collaborate on data analyses and reports with team members and stakeholders makes it easy to make data-driven decisions.""The platform provides a wide range of visualization options, allowing me to effectively communicate data insights to my team and clients."

단점:

"The steep learning curve for the SQL-based interface may make it difficult for new users to fully utilize the platform's capabilities""The platform's pricing model can be expensive for some teams, especially for larger organizations with many users."

Mario
스페인의 Data Scientist
화장품, 201~500 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

Good for operative reporting but not as well as bi tool.

3.0 5년 전

주석: Small companies without any reporting tool is good to start.

장점:

Easy to use with technical background. Easy to run a queries analyze the results and built interesting charts to do some exploratory data analysis or follow some KPIs. Also is good subscription by email (or other methods) and great to use python to create some sophisticated analysis.

단점:

It's not easy to use for final user without SQL background. If you are looking for operative reporting or EDA is a good solution but if your final users don't know SQL and wats to do some analysis with data like: drag a drop dimensions measures from data mart and build their own analysis, use "drill down", use some sophisticated filters (or/and) or analysis to compare two sets of data,... it has a great way to go.

검증된 리뷰어
검증된 LinkedIn 사용자
자동차, 51~200 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

White Label Imbeds fit perfectly into our software.

5.0 5년 전

주석: Overall, it has changed our company. Internally, our teams have data pushed to them daily or weekly. Our end users have significantly more dynamic systems. And overall, our analytics stack has a very predictable cost structure. We love Mode!

장점:

We love Mode's ability to push analytics into Slack for internal analytics. We also heavily use Mode's White Label Embed capability into our website. We are able to configure Mode's look and feel to be perfectly on-brand. Mode's analytics plug perfectly into our site.

단점:

Mode's Grid and Pivot grids still have a long way to go. We end up plugging DevExtreme into Mode - which accomplishes exactly what we need... but it's a lot of work. It would have been nice to have beautiful pivot grids and data grids out-of-the-box. Mode also needs the ability to have triggers (only send this report if X>Y). Right now, Mode can only send on a schedule... but many of our needs are warning systems (if X<=0 then send an alert to this team).

검증된 리뷰어
검증된 LinkedIn 사용자
자동차, 51~200 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

고려된 대안:

Mode Is Great!

4.0 5년 전

장점:

Flexibility. Combining your data with an easy to use HTML editor is great for making custom tweaks to an existing graphic or analytic. Integration. The ability to integrate with most data sources is a great thing. Makes it easy to get started.

단점:

I think the app needs tighter integration with the notebook framework. Ideally - we could do some final data tweaks in our language of choice and make it available as a dataset to be used in a mode graphic. I don't like mixing graphic types.

Bertrand
Bertrand
프랑스의 CEO
검증된 LinkedIn 사용자
정보 기술 및 서비스, 자영업
소프트웨어 사용 목적: 1~5개월
리뷰어 출처

Nice platform for people doing data analysis on a daily basis

5.0 5년 전

주석: Mode platform is a nice tool to process / request Data on a daily basis.
It would be a must have for Data scientists / analysts producing analysis / reports for executives / BI teams.

장점:

I really liked the way you can write & test your own SQL queries. You can also easily request different Datasets coming from different sources (MySQL, PostgreSQL, Hive, Impala, Aurora, Google BigQuery...) via the same SQL queries. Moreover, it's very simple to create charts and diagrams from the data to generate nice presentations / reports. By the way you have a nice integration with Python/R notebooks.

단점:

When your are creating / editing reports, you need to have good knowledge of SQL/Data queries. This side of the platform would be reserved to Data scientists / engineers / analysts. But once the reports are created, it's still one of the best tool in the market to communicate / take decisions with executives / managers / BI teams / clients.

Travis
Travis
미국의 Sales Executive
검증된 LinkedIn 사용자
부동산, 1,001~5,000 직원
소프트웨어 사용 목적: 6~12개월
리뷰어 출처

Great Product

5.0 5년 전

주석: Fantastic

장점:

Very easy to use and gives a lot of useful information

단점:

Honestly not much. Its a great product that really helps with my job role.

Aaron
Aaron
미국의 Data Engineer
검증된 LinkedIn 사용자
인터넷, 51~200 직원
소프트웨어 사용 목적: 무료 체험판
리뷰어 출처

Love the Python Support

4.0 6년 전

장점:

I love the Python support out-of-the-box, and that you don’t have to pay extra for it (like some other companies).

단점:

It was not easy enough for us to hide implementation details from our users. Everyone was able to view the raw SQL statements and infer our database schema from there.

Henry
Henry
미국의 CRM & Lifecycle Marketing
검증된 LinkedIn 사용자
교육 관리, 51~200 직원
소프트웨어 사용 목적: 1~5개월
리뷰어 출처

Simple analytics and BI

4.0 5년 전

장점:

Simple to spin up and share new queries and insights.

단점:

Creating visualizations isn't straightforward, but I may have more learning to do

Adriana
Adriana
칠레의 Marketing Business Analytics
검증된 LinkedIn 사용자
마케팅 및 광고, 11~50 직원
소프트웨어 사용 목적: 무료 체험판
리뷰어 출처

Great for Data Analytics & Visualization

5.0 5년 전

장점:

Easy to use and plot graphs immediately, you can discover insights really fast.

단점:

Free version does not allowed to share your reports

Joseph
미국의 Quantum Systems Engineer
컴퓨터 하드웨어, 51~200 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

Mode was a game changer for us, but some aspects remain hard to use

4.0 5년 전

장점:

The tight integration of Mode's SQL editor and python notebooks really brought new functionality to our team. I personally hadn't used SQL queries before attempting to write them in Mode, and the editor made it easy to learn. Suddenly, not only did our company have a single, centralized source of truth for jupyter notebooks that had previously been continually passed around in private messages, but we also had a clearer and simpler way to populate those notebooks with data from multiple databases. It was a a game changer.

단점:

Speed of editing is really my only complaint. I write any python notebook functionality outside of Mode and just copy and paste the cells I need to avoid having to write new code within the hosted notebook and deal with the slow refresh rates. This is just an inconvenience though, not a deal breaker. And its definitely seemed to have improved since a year ago. Another complaint is that the dashboard layout editor doesn't feel as intuitive as the rest of the Mode platform. It is specifically often difficult to get the intended result when resizing things relative to each other without iteratively adjusting window sizes in the dashboard editor and actual notebook output.

Nathan
미국의 Head of Operations
인적 자원, 11~50 직원
소프트웨어 사용 목적: 6~12개월
리뷰어 출처

고려된 대안:

Best way to see your data

5.0 5년 전

주석: Mode allows us to get concrete answers about how our customers are using our product. The data visualization is a key player in sales, product, marketing, and customer support in our organization,

장점:

Very easy to use, set up and organize. Their charting and reporting tools are super powerful, and generate great dashboards and reports. The ability to schedule report runs and even send them to Slack or email makes it easy for everyone in our organization to be on the same page.

단점:

Really just some minor UI annoyances, but nothing that would prevent me from recommending the software.

Roarke
미국의 Director of Value Operations
운송/트럭/철도, 11~50 직원
소프트웨어 사용 목적: 2년 이상
리뷰어 출처

Mode Analytics - A Review

5.0 5년 전

주석: I started using mode with no knowledge of SQL or R and was able to learn some of the introductory information through DataCamp and online which has allowed me to get much more value out of Mode. The other platform we use is Metabase which is great for our Customer Care team because it does a lot of (if not all) of the heavy lifting for SQL queries. A few standardized queries or templates for queries might give less knowledgeable people the ability to get more value from Mode.

장점:

The ability to do queries in both SQL and R programming allow for dynamic data pulls. The ability to schedule reports is also very helpful for the different departments at my company.

단점:

There aren't a lot of holes in what Mode provides. I may not be as informed as I need to be but I often run into issue joining one SQL query to another SQL query.

Jeremy
미국의 Data Analyst
교육 관리, 51~200 직원
소프트웨어 사용 목적: 2년 이상
리뷰어 출처

Amazing tool for easily accessing your data

5.0 5년 전

장점:

so easy to connect to your database and query your data. More recently, you can even use jupyter notebooks and write python scripts to easily join data from different databases. this is really helpful for our everyday work with data in different databases

단점:

Nothing, I love Mode and have been recommending it to so many people.

Khantil
캐나다의 CTO
식품 및 음료, 2~10 직원
소프트웨어 사용 목적: 6~12개월
리뷰어 출처

A great Analytics tool for small - medium size teams

5.0 5년 전

주석: Mode allows us to monitor our delivery operations. It helped us to improve on tracking our KPI's closely and overall company performance.

장점:

The ease of use. Mode is really easy to use, specially you can put it as a self-serve data platform to anyone in your team maybe support, marketing, sales. Everyone can use and get the data.

단점:

The version we had was running queries on our own databases everytime we refresh the dashboard.

Arielle
미국의 Product Analyst
미디어 제작, 5,001~10,000 직원
소프트웨어 사용 목적: 6~12개월
리뷰어 출처

Great Software

5.0 5년 전

장점:

Mode provides a similar environment to a jupyter notebook which was familiar and easy to adopt. Mode supports many packages and allows me to create visualizations that stakeholders can interact with in a front end dashboard. Mode has been responsive to feedback and has introduced new features to alleviate problems.

단점:

I wish there was more functionality on designing the dashboards without having to edit the html. Additionally, although many packages are supported in the notebook they are not always up to date which causes some trouble when using current documentation.

Abedin
북마케도니아의 Data Analyst
식품 및 음료, 501~1,000 직원
소프트웨어 사용 목적: 2년 이상
리뷰어 출처

Mode Review

4.0 5년 전

주석: A lot of analisys regarding our bussines

장점:

It is super easy to use you can create a lot of queries

단점:

the dashboard tools you can create visualisations the big number etc

Zach
미국의 Sr. Enterprise Account Manager
마케팅 및 광고, 501~1,000 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

Mode Review

4.0 5년 전

장점:

I like the feasibility of getting data as soon as possible without having to spend a ton of time digging around.

단점:

It does take a decent amount of time to initially familiarize yourself with the software however once you do its very easy going forward.

Jane
미국의 Senior Marketing Director
리테일, 201~500 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

Easy for a SQL noob, but more templates + help with chart building needed

5.0 5년 전

장점:

As someone new to SQL, the error messages are relatively easy to parse and it's really simple to copy and tweak queries and reports.

단점:

The chart building is not super intuitive; it would be great if there were easy templates to use.

Priyanka
미국의 Digital Analytics Specialist
엔터테인먼트, 51~200 직원
소프트웨어 사용 목적: 6~12개월
리뷰어 출처

Mode Performance Review

5.0 5년 전

주석: I have been using Mode pretty much every single day and could not do without it. very handy platform.

장점:

Flexibility and ease of access are the highlights. It can be used from any where and on any platform. Very handy and easy to use.

단점:

Very less options on plotting charts. It should have more options to get even better insights while using it for big data.

Trupti
미국의 Data Analytics Specialist
엔터테인먼트, 51~200 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

One of the best UI used for SQL

5.0 5년 전

주석: Excellent

장점:

I love how user-friendly the environment is. It is used even by the non-techies in my company.

단점:

I wish graphs could be more flexible to use

Suleman
캐나다의 Developer
인터넷, 5,001~10,000 직원
소프트웨어 사용 목적: 6~12개월
리뷰어 출처

Mode review

5.0 5년 전

장점:

- Ease of use - autocompletion is very good - easy to generate complicated analytic reports - easy export for reports

단점:

- long query time or inexplicable time outs - very limited options for data visualization

Drew
캐나다의 Software Developer
정보 기술 및 서비스, 1,001~5,000 직원
소프트웨어 사용 목적: 6~12개월
리뷰어 출처

Very happy with Mode

4.0 5년 전

주석: For my needs (and my team) it has been very useful to use mode to analyze snapshots of production data to get more insight into problems and to work out the scope of fixes/migrations needed to address issues.

장점:

As a developer I like being able to write SQL to help analyze problems and also create reports/charts to visualize trends/issues based on our warehouse of production data.

단점:

The charting is useful but it would be nice to be able to iterate/switch through chart types a little more easily (without sometimes having to start over when dimensions/measures are reset).

Lluis
스페인의 Data Scientist
운송/트럭/철도, 501~1,000 직원
소프트웨어 사용 목적: 6~12개월
리뷰어 출처

Excelent tool

4.0 5년 전

주석: It's very positive, but sometimes I 'd like that I could work with local files.

장점:

Integration with Python Notebooks is very useful.

단점:

Impossible to load data from local folders.

Elle
미국의 Marketing manager
이러닝, 201~500 직원
소프트웨어 사용 목적: 1년 이상
리뷰어 출처

A great data visualization tool and an excellent SQL tutorial

5.0 5년 전

주석: Mode is simple and useful. I especially love its tutorials on SQL. It helps a marketer learn the basic skill in a very digestible way.

장점:

I like how easy it is to view the source code from the dashboard and edit it from there.

단점:

It has limited features on visualization options, such as drag and drop.