Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.
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ThoughtSpot
Score 8.2 out of 10
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ThoughtSpot is an AI-Powered Analytics company, that aims to create a more fact-driven world with an easy to use analytics platform. ThoughtSpot enables users to leverage natural language search powered by large language models to ask and answer data questions. Users within an organization can limitlessly engage with live data in any popular cloud data platform to create and interact with granular, hyper…
$95
per month
Pricing
Looker
ThoughtSpot
Editions & Modules
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ThoughtSpot Analytics Team
$95
per month flat subscription
ThoughtSpot Analytics Pro
starts at $30,000
per year consumption-based pricing, pay for what you use
ThoughtSpot Analytics Enterprise
contact for pricing
per year consumption-based pricing, pay for what you use
ThoughtSpot Everywhere Pro
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per year consumption-based pricing, pay for what you use
ThoughtSpot Everywhere Enterprise
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per year consumption-based pricing, pay for what you use
I choose Looker when I need quick charts. It is easier to start and configure, browser-based, and easy to connect with Google Sheets. This gives it a good competitive advantage when comparing pricing—other similar tools have expensive licenses. In a corporate Google …
There are some specific use cases where other tools are not useful in our organization. Some software solutions are shared with other organizations inside the company and Looker is the only tool where we can collaborate good enough.
Compared to most reporting and analytics tools of a similar nature, ThoughtSpot seems to work particularly well with financial and sales related data. In terms of ease of use, ThoughtSpot ranks above average. On the other hand, there are dozens of basic features (esp. …
Quick dashboards from Google Sheets - Easier to do the graphs than in Google Sheets - Operational dashboards to be used in the day-to-day work - It is good both for retrospective data and to do a pulse check of the current status - Better for not giant amounts of data and not multiple data sources. - If you need a lot of graphs to be displayed on the same page, it can be a bit glitchy during configuration (then the use works fine).
Well suited for my clients for a Macro view of business insights, credit risk, ESG insights, etc. However, I think ThoughtSpot needs to make exploring underlying data easier, adding a feature where you can click on charts and filters will help users and especially business users to easily understand the granularities as well.
Filtering - you can filter across different dimensions and metrics to get a more specific "cut" of data
Refreshing - data automatically ingests into Looker which allows reports to be updated and backfilled in real time
Conditional Reporting - you can leverage Looker's reporting features to flag when a given metric or KPI falls below or above a specified threshold. For example, if you had a daily sales benchmark in a SAAS organization, you could use Looker to flag whenever daily sales falls above or below the benchmark
Beautiful visualizations. The visuals are distinct, clean, and easy to discern from one another.
Intelligent querying functionality. When looking to manipulate the data, the search function makes it easy to manipulate the features in the data, along with aggregating them in the way you'd like.
Embedding! It has been a smooth process thus far for our product & technical teams to work with ThoughtSpot and bring it into our product.
Looker is less graphical or pictorial which makes it less attractive
Consumes a lot of memory when there are multiple rows and columns, impacts performance too
At times when we download huge chunks of raw data from Looker dashbords, the time taken to prepare the file is enormous - The user fails to understand if Looker has frozen or if the data is getting prepared in the background for downloading. In turn, user ends up triggering multiple downloads
We've been very happy with Looker so far, and all teams in the organization are starting to see its value, and use it on a frequent basis. It has quickly become our accessible "source of truth" for all data/metrics.
I give it just waiting because passport is brilliant and it has helped our organisation In advancing to the next stage in the age of AI. It has allowed or non-tech people to better service and clients in a cost-effective way. George port has allowed us to create new products for us and for our clients increasing our revenue streams and reducing clients churn
Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
The tool is easy to use if you know what you are doing and looking for. I know as they work towards improvements and simple language it will become even easier, but as of now they are doing a great job but there is room for improvement.
Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
I give it this meeting because the team is not only help able to help us in the current solutions but also amazing and taking feedback and feeding it back to their development team which includes more products and features into ThoughtSpot
Looker is an off-the-shelf, free tool for Google business users. Other than the internal cost of time to build, we had no costs to set up what we needed to do. Knowledge sharing internally and using templates greatly reduced this cost, making the overall cost very low.
We also explored Tableau Ask Data. Tableau is our standard for BI in our organization. We want to use the smallest amount of tools in our company to have the best adaption. ThoughSpot will fill a few gaps that we have with our current set up and will also enhance out offering for our employees in the transition of being more data driven within in near future
Because it is very reliable, inside the situation, we need strong internet connection to access a lot of data but easily never had any downtime except during the upgrades
Allowing others to self-serve their own analytics and connect it to Looker simply and easily has helped unblock the central data team so they can instead focus on validated dashboards whilst stakeholders manage their day-to-day analysis themselves. Countless engineering hours have been freed up by not having to manage every user permission for each BI tool; we have a BYOBI approach; Bring Your Own BI
Creation and management of a semantic layer (LookML =Looker Modeling Language ) allows peoples sandboxes and production databases to become clutter free. Minor adjustments, conditional fields, and even some modelling can all be done in LookML which doesn't need oversight or governance from the central data team.
LookML, specifying drilldown fields and their sub-queries, as well as generally creating dynamic parameters with Liquid are all great features, but can have a steep learning curve. it may take some time to understand how to create this middle layer correctly, or even pose a risk of inheriting complex code from another source which can be unmaintainable if it becomes too big. Some level of governance is recommended if Looker is used by a large number of editors.
Saved an immense amount of time for a sole analyst on a team by enabling the end-users to ask their own questions instead of always turning to her, allowing her to focus on other priorities.
Immediate answer to question on second POC that led to personnel changes.
