Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
Oddpool
Glypse
LunarCrush
Polyseer.io
Coygo Terminal
TradingView
Verso
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
Oddpool is the all-in-one analytics platform for prediction markets, aggregating live data across venues to reveal real-time odds, market spreads, arbitrage opportunities, and actionable insights. Traders and analysts use Oddpoolโs interactive dashboards to compare markets side-by-side, track volatility, and understand how consensus shifts across events. Oddpool brings structure, clarity, and speed to an ecosystem of fragmented prediction markets.
Looker
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Oddpool's answer:
โข Unified data-layer across many markets
Prediction marketsโwhether crypto-native or centralizedโtend to be fragmented: different platforms, different UIs, different data formats. Oddpool cuts through that by aggregating live market data, odds, spreads, volumes, historical price data, and outcomes across many venues. Instead of hopping between dozens of sites or APIs, users get a single source of truth for cross-venue analysis.
โข Real-time arbitrage & spread insights
Because Oddpool collects data across markets and displays it in a normalized, comparable format, it surfaces arbitrage opportunities, mispricings, and market-spread inefficiencies โ something thatโs extremely difficult to track manually when data is spread across multiple, independent platforms.
โข Historical & analytic depth โ not just surface-level odds
Oddpool isnโt just โcurrent price = current probability.โ It offers historical data, volatility tracking, trend analysis, volume & liquidity metrics, conviction changes over time, and more. That lets traders, researchers, or quant-style users go beyond โwhat does the price say nowโ to โhow was price behaving over time, and what is implied by that.โ
โข Consolidated dashboard for decision-making
Instead of fragmented UIs and inconsistent metrics, Oddpool provides clean, normalized dashboards โ helping users compare markets, track sentiment shifts, and analyze data side-by-side. Thatโs especially powerful in prediction-markets land where transparency is weak and data is siloed.
Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / almost 4 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 4 years ago
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