Mode Review
What is Mode?
Mode is an interactive data analytics solution that provides users, particularly those in the health, finance, food, retail, SaaS, and media industries, with relevant information and critical insights to help them make smarter business decisions. The system allows users to identify opportunities, leverage product and marketing data, prevent churns, speed up workflows, and more.
Mode offers a cloud-based, shared SQL editor that allows for collaboration between teams while fully supporting JavaScript, CSS, and HTML languages. Furthermore, data analysts will find it easier to generate similar information on a regular basis since they can simply establish a logic once and it will reflect on all the underlying reports. After an insight is gained, Python- or R-powered reports can then be shared with other stakeholders instantly.
The platform integrates with a wide variety of apps, including data warehouses, event tracking, sharing, and ETL solutions. This allows you to sync information with the most popular database, use event analytics apps to connect raw data to your own warehouse, and more. There are also webhooks and APIs available for a more customized workflow.
Mode offers three pricing schemes, namely Studio, Business, and Enterprises. The studio plan offers the fundamental tools for individual analysts while the business plan is for data-driven teams. The Enterprise plan offers additional collaboration and support features, as well as admin and security tools. All plans require you to contact the vendor for a quote ideal for your unique requirement.
Show MoreOverview of Mode Benefits
Mode offers a series of features that allow users to analyze, explore, automate, and present critical information and insights. These include:
Simplified online SQL editing
Mode’s online SQL editor offers a wide range of features that makes querying more efficient, faster, and more precise. These include auto-complete, query history, and schema browser as well as HTML, JS, and CSS support. You can also easily explore connected databases to quickly find the tables and columns you need and insert them directly while writing. Furthermore, the editor supports advanced logic such as statements and loops for more complex queries.
Collaborative data analytics made easy
After writing SQL query and beginning analyzing data, users can extend their analysis using native Python and R notebooks. This can even be done by moving between the SQL editor and the notebooks without having to switch applications. Moreover, the notebooks and SQL editor are shared online; meaning teams can seamlessly collaborate by learning and building upon the work of each other.
More transparent reports and dashboards
Mode offers a customizable reporting module to quickly and accurately provide the information needed at any given time. It features a drag-and-drop data exploration interface, reusable custom formulas, as well as a wide range of pivot tables, interactive charts, and more. Reports can also be delivered either instantly or regularly through the scheduled delivery feature.
Streamlined processes through integration
Mode can seamlessly connect with a variety of tools that help extend its functionalities or make work easier for those who are already using other applications related to data analytics. For instance, the system integrates with the most popular data warehouses, such as Google BigQuery, Amazon Redshift, Oracle, and MS Azure SQL, allowing users to easily query through SQL or other similar languages.
Show MoreOverview of Mode Features
- Visualization builder
- Python and R notebooks
- Calculated fields
- HTML dashboard
- Online SQL editor
- White-label embeds
- Report sharing
- Role-based access control permission
- Webhooks/API
- Embedded analytics
Mode Position In Our Categories
Keeping in mind companies have their own business demands, it is only wise that they avoid seeking an all-encompassing, ideal software solution. Nevertheless, it would be almost impossible to find such an app even among sought-after software solutions. The practicable thing to do should be to shortlist the numerous significant aspects which merit scrutiny like important features, budget, skill aptitude of staff, organizational size, etc. After which, you should perform the research through and through. Go over these Mode analyses and scrutinize the other solutions in your shortlist in detail. Such well-rounded research makes sure you steer clear of poorly fit apps and select the one that has all the function your business requires in sustaining growth.
Position of Mode in our main categories:
TOP
20
Mode is one of the top 20 Data Analytics Software products
If you are considering Mode it could also be beneficial to examine other subcategories of Data Analytics Software gathered in our database of B2B software reviews.
Since each organization has specific business requirements, it is advisable for them to refrain from searching for a one-size-fits-all faultless software application. Needless to say, it would be futile to try to find such an app even among widely used software solutions. The smart thing to do would be to jot down the various important aspects that require consideration such as key features, budget, skill levels of workers, company size etc. Then, you should do your research thoroughly. Read some Mode Data Analytics Software reviews and investigate each of the other systems in your shortlist in detail. Such exhaustive research can ensure you weed out ill-fitting platforms and choose the solution that offers all the features you require for business success.
How Much Does Mode Cost?
Mode Pricing Plans:
Free Trial
Studio
Contact vendor
Business
Contact vendor
Enterprise
Contact vendor
What are Mode pricing details?
Mode Pricing Plans:
Free Trial
Studio
Contact vendor
Business
Contact vendor
Enterprise
Contact vendor
Mode provides quote-based SMB and enterprise pricing packages for users to choose from. Kindly contact the vendor for the price, a demo, or a free trial.
Studio – Contact vendor
A plan ideal for individual analysts in need of basic data analytics tools.
- Up to 5 users
- Visualization builder (thousands of row)
- Support for SQL, Python, and R
- Customizable HTML dashboard
- No-code data exploration
- Database credential control options
- Calculated fields
Business – Contact vendor
- All features in Studio
- Number of users is contract-dependent
- Visualization builder (millions of row)
- Fillers and parameters
- Drilldowns
- Webhooks
- Scheduled refreshes
- Rest API
- Reusable subqueries
- Email and Slack integration
- Github integration
- White-label embeds
- External sharing
- Live in-product chat
Enterprise – Contact vendor
- All features in Business
- Number of users is contract-dependent
- Visualization builder (tens of millions of row)
- Custom themes
- Role-based access control permissions
- SAML SSO
- Enterprise support and onboarding
- Advanced identity management
- Usage and audit log
User Satisfaction
Positive Social Media Mentions
89
Negative Social Media Mentions
3
We realize that when you choose to buy a Data Analytics Software it’s vital not only to see how professionals evaluate it in their reviews, but also to check whether the actual clients and companies that purchased this software are actually content with the service. Because of that need we’ve designer our behavior-based Customer Satisfaction Algorithm™ that collects customer reviews, comments and Mode reviews across a broad array of social media sites. The data is then presented in an easy to digest form showing how many users had positive and negative experience with Mode. With that information at hand you should be equipped to make an informed buying decision that you won’t regret.
Video
Technical details
Devices Supported
- Web-based
Deployment
- Cloud Hosted
Language Support
- English
Pricing Model
- Quote-based
Customer Types
- Small Business
- Large Enterprises
- Medium Business
What Support Does This Vendor Offer?
- phone
- live support
- training
- tickets
What integrations are available for Mode?
- Amazon Athena
- Hive
- Impala
- MySQL
- Oracle
- Amazon Redshift
- Databricks
- MariaDB
- MemSQL
- Microsoft Azure SQL
- Amazon Aurora
- Google BigQuery
- PostgreSQL
- Presto
- SQL Server
- Snowflake
- Amplitude
- Heap
- Permutive
- Timescale DB
- Treasure Data
- Vertica
- Segment
- Snaplow
- Tenjin DataVault
- mParticle
- XPlenty
- Airflow
- Mode Definitions
- Data Virtuality
- dbt
- Mode White-label Embeds
- Slack
- WordPress Plugin
- ETLeap
- Fivetran
- Singer
- Stitch Data
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