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 businesses have specific business wants, it is rational that they steer clear of subscribing to an all-in-one, ”best” software system. Still, it is troublesome to discover such an app even among widely used software solutions. The best thing to undertake is to make a list of the varied key factors that entail examination like key features, budget, skill capability of staff, organizational size, etc. The second step is, you must follow through the research systematically. Read these Mode reviews and explore each of the applications in your shortlist in detail. Such all-encompassing product research makes sure you take out unfit applications and subscribe to the system that delivers all the tools your business requires to achieve 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 might also be a good idea to analyze other subcategories of Data Analytics Software gathered in our base of B2B software reviews.
Since each organization has specific business needs, it is advisable for them to abstain from searching for a one-size-fits-all ideal software solution. Needless to say, it would be pointless to try to find such a system even among market-leading software platforms. The intelligent thing to do would be to jot down the various important aspects that need consideration such as required features, finances, skill levels of staff members, company size etc. Then, you should do your homework thoroughly. Read some Mode Data Analytics Software reviews and check out each of the other apps in your shortlist in detail. Such in-depth research can ensure you reject ill-fitting applications and select the solution that presents all the elements 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 are aware that when you decide to purchase a Data Analytics Software it’s crucial not only to learn how professionals evaluate it in their reviews, but also to check if the actual clients and businesses that purchased it are actually happy with the product. Because of that need we’ve devised our behavior-based Customer Satisfaction Algorithm™ that collects customer reviews, comments and Mode reviews across a vast range of social media sites. The data is then featured in an easy to understand form indicating how many people had positive and negative experience with Mode. With that information at hand you will be prepared to make an informed buying choice 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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