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
Since companies have distinct business requirements, it is only rational that they avoid adopting an all-in-one, ideal system. However, it is hard to chance on such an app even among branded software solutions. The efficient thing to do should be to set down the different key factors which necessitate examination including essential features, pricing, technical skill competence of staff members, business size, etc. After which, you should conduct the research exhaustively. Read some Mode evaluations and explore the other solutions in your shortlist more closely. Such comprehensive research guarantees you stay away from unsuitable applications and buy the one that has all the features your business requires for optimal results.
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 might also be beneficial to investigate other subcategories of Data Analytics Software collected in our database of SaaS software reviews.
Since each company has specific business needs, it is sensible for them to abstain from searching for a one-size-fits-all perfect software system. Needless to say, it would be pointless to try to find such a platform even among popular software applications. The smart thing to do would be to catalog the various important elements that require consideration such as key features, budget, skill levels of staff members, company size etc. Then, you should do your groundwork thoroughly. Read some Mode Data Analytics Software reviews and investigate each of the other systems in your shortlist in detail. Such comprehensive research can make certain you weed out ill-fitting platforms and select the solution that presents all the aspects you need 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 get a Data Analytics Software it’s vital not only to learn how experts score it in their reviews, but also to discover if the real clients and enterprises that use this software are indeed happy with the service. That’s why we’ve devised our behavior-based Customer Satisfaction Algorithm™ that aggregates customer reviews, comments and Mode reviews across a vast array of social media sites. The information is then presented in a simple to understand format indicating how many users had positive and negative experience with Mode. With that information at your disposal you will be ready to make an informed business 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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