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Hashboard

Hashboard
Formerly Glean.io

Overview

What is Hashboard?

Hashboard (formerly Glean.io) is lightweight, business intelligence tool for teams with a collaborative data culture. Hashboard unlocks insights for companies with exploration and flexible data discovery paths for users ranging from data folks, business ops to customer success.

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Recent Reviews
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Pricing

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Starter

$70

Cloud
per month 2 seats, then $30 per user up to 10 users of any type

Team

$410

Cloud
per month 10 seats (incl. 2 editors), then $50 per editor, $20 per collaborator

Enterprise

Custom

Cloud
per month Contact us for custom pricing for enterprises that need SSO, flexible seats, partner projects and more

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://hashboard.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $70 per month 2 seats, then $30 per user up to 10 users of any type
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Product Details

What is Hashboard?

Hashboard (formerly Glean.io) is lightweight, business intelligence tool for teams with a collaborative data culture. Hashboard unlocks insights for companies with exploration and flexible data discovery paths for users ranging from data folks, business ops to customer success.

Automatic visualization. Never starting with a blank canvas, Hashboard automatically builds a visual explorer from data; automatic profiling and intelligent defaults and hyperspeed queries with smart caching.

Exploration--- Users can explore data without SQL; navigate between overviews, metrics, charts, tables, and raw data interactively and create calculated metrics and custom aggregations.

Governed metrics
---enables teams to ask questions about data; standardize metrics definitions in data models; collaborate on metrics and build dashboards that look good on any device.

DataOps - manages business intelligence resources through code. Features version control, preview and integration with Git for enhanced workflows.

Hashboard Features

BI Platform Features

  • Supported: Administration via Web Interface
  • Supported: Live Connection to External Data
  • Supported: Snapshot of External Data
  • Supported: In-memory data model
  • Supported: OLAP (Pre-processed cube representation)
  • Supported: ROLAP (SQL-layer querying)
  • Supported: Multi-Data Source Reporting (Blending)
  • Supported: Data warehouse / dictionary layer

Supported Data Sources Features

  • Supported: Text Files (CSV, etc)
  • Supported: Postgres
  • Supported: MySQL

BI Standard Reporting Features

  • Supported: Customizable dashboards

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Versioning
  • Supported: Report Delivery Scheduling

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Location Analytics / Geographic Visualization
  • Supported: Support for Machine Learning models

Access Control and Security Features

  • Supported: Multi-User Support (named login)
  • Supported: Role-Based Security Model
  • Supported: Multiple Access Permission Levels (Create, Read, Delete)
  • Supported: Report-Level Access Control
  • Supported: Single Sign-On (SSO)

Mobile Capabilities Features

  • Supported: Dashboard / Report / Visualization Interactivity on Mobile

Application Program Interfaces (APIs) / Embedding Features

  • Supported: iFrames
  • Supported: Themeable User Interface (UI)

Hashboard Screenshots

Screenshot of how a single click shares a unique link to current exploration. This makes collaboration easier and eliminates the need to save one-off views and clutter up the data workspace.Screenshot of The Control Panel in Hashboard which can be used to reconfigure charts, add documentation and jump into the code editor.Screenshot of Breakouts in Hashboard, that enables users to pick a set of attributes to track, or define criteria that adapts the breakout as data changes. For example, they can be used to track the top 20 revenue customers, or track the six most recent cohort months, etc.

Dynamic Breakouts allow users to look at the most relevant data in an easy-to-digest way.Screenshot of DataOps in Hashboard allows users to represent resources as configuration files, which can be stored in a Git repository and deployed to a Hashboard project as part of a change management workflow. 

DataOps in Hashboard can be used to:

✅ Validate planned changes to a data warehouse or Hashboard resources to ensure that views and dashboards don't break
🏗️ Preview updates to a Hashboard project before making them visible to the rest of the organization
👥 Use code reviews or pull requests to collaborate on proposed changes
🧑‍💻 Configure Hashboard using the same tools used to develop backend pipelines
🚦 Use a continuous integration system to deploy updates to a Hashboard projectScreenshot of Sharing data externally can be done via Public Links, embedded analytics, managed partner projects or via a Slack integration with scheduled reports.Screenshot of An interactive dashboards with metric tiles and saved views. Explore links enable users to share their explorations and preview changes before adjusting dashboards for all users.Screenshot of Every view in Hashboard can be used to explore and filter all the way down to the underlying data.

Hashboard Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Hashboard (formerly Glean.io) is lightweight, business intelligence tool for teams with a collaborative data culture. Hashboard unlocks insights for companies with exploration and flexible data discovery paths for users ranging from data folks, business ops to customer success.

Hashboard starts at $70.

Metabase, Looker Studio, and Apache Superset are common alternatives for Hashboard.

The most common users of Hashboard are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(4)

Reviews

(1-2 of 2)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
Glean.io helps manage the internal databases and also provide tools to extract the data using queries. Using Glean.io visualisation tool we are able to generate actionable insights. The data can be visualised in different ways with automated suggestions which helps us being efficient and data backed. Data can be can explored intuitively in easy manner using Glean.io.
  • Managing Database with large datasets
  • Automatic visualisation to generate actionable insights
  • Collaborating around the data dashboards effectively
  • Querying has to be done by users only. There can be ways to automate querying using templates
  • Not able to clearly check the query run time
  • The customer support team can be little more proactive while communicating any changes and resolving any queries
Glean.io is exceptionally well for creating automation data visualisation dashboards. Exploring the data is again highly effective. Visualisations are easily customisable to best suit the requirements of the team. Collaborating and commenting around the dashboards is very smooth.

If there are any changes in the system or any feature requests, the support team takes some time to respond.
  • Optimised the DB management team by 30%
  • Reduce in data visualisation dashboards TAT by 50%
  • Increase in revenues and savings by 20%
Glean.io provided the customisable packages as per the user licences and data storage required. We are a growing organisation and this flexibility helped arrive at decision to use Glean.io
The user onboarding is very easy with Glean.io. There were no extra resources required to integrate with our system and it was done in couple of days only.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
We used Glean.io for some time to explore its potential. We used Glean.io to gain insights from the huge data sets we had to handle. Glean.io was a nice way to easily visualize some of our data. Creating a model is very easy and it is nice that data can be derived from database connections directly. Further, it was nice that the data connection could be manipulated and performed with SQL. One very interesting feature we explored as well as Data Ops.
  • Workflow is easy and clear due to clean and state of the art interface
  • Model creation is easy
  • Possibility for custom SQL code for database connection is very helpful
  • Nothing in particular
For the scenario, we used Glean.io which we used the software to establish a database connection and build live dashboards on the data on this database. This was a very simple use case to explore the capabilities of the software. In this use case, it works very smoothly and well. Further, we looked into similar use cases using the data ops features to achieve data provisioning with code to have more control. This was a nice way to support data engineers for sure. I would say that - for our use cases - the UI-based set up does the job. It is nice to have more advanced options with data ops. But they are probably over the top for our use cases. I would say it is worth it though to explore and figure out which degree of control fits your use case best.
  • Businesses had direct insight into the data as well - faster insights and less repetitive efforts for the data team.
  • More up-to-date insight. Dashboards are grounded on live data, so businesses get the current data always.
  • Business became more confident to look and interact with data by themselves.
For simple use cases, Glean.io is a lightweight alternative to SAP Analytics Cloud. Provisioning, testing, and documentation are easier and less intimidating in the Glean.io case. Thus, it is easy to explore without firing up the sales machinery of the big corporates. Thus, the process of looking into and testing it out was way more convenient. Further, the data ops features were new to use and seem to be unique with Glean.io.
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