Will Databricks' valuation hit __ by October 31?
50%↑$200B
- Reaches $200B50%
- Reaches $210B38%
- Falls to $185B17%
- Falls to $170B17%
Already reached: ↑$195B
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Will Databricks' valuation hit __ by December 31?
The odds
$210.83Bhigh with an even chance
Traders see an even chance of trading as high as $210.83B.
- Reaches $200B76%
- Reaches $225B16%
- Reaches $250B15%
- Reaches $300B4%
- Falls to $140B3%
- Falls to $135B3%
- Falls to $130B3%
- Falls to $125B3%
Already reached: ↑$190B, ↑$180B, ↑$170B, ↑$160B
How the odds have moved
Reaches $200B: 77% on Oct 20, 76% now.
Each outcome's chance over time on Polymarket. The dots along the bottom are headlines about its subject: point at one to read it.
Every outcome
| Outcome | Chance | Day | Bid | Ask | Pays | Traded |
|---|---|---|---|---|---|---|
| ✓ ↑$160B | >99% | ▲ 6 | 100¢ | 100¢ | $9.5K | |
| ✓ ↑$170B | >99% | ▲ 6 | 100¢ | 100¢ | $14K | |
| ✓ ↑$180B | >99% | ▲ 3 | 100¢ | 100¢ | $21.2K | |
| ✓ ↑$190B | >99% | 100¢ | 100¢ | $12.9K | ||
| ↑$200B | 76% | ▲ 1 | 75¢ | 77¢ | $1.30 | $10.4K |
| ↑$225B | 16% | 11¢ | 21¢ | $4.76 | $10.7K | |
| ↑$250B | 15% | ▼ 4 | 13¢ | 17¢ | $5.88 | $16.8K |
| ↑$300B | 4% | 1¢ | 7¢ | $14.08 | $11.5K | |
| ↓$125B | 3% | 1¢ | 7¢ | $14.49 | $12.9K | |
| ↓$130B | 3% | 1¢ | 7¢ | $15.15 | $7.5K | |
| ↓$135B | 3% | 2¢ | 4¢ | $26.32 | $13.5K | |
| ↓$140B | 3% | 2¢ | 5¢ | $21.28 | $12K |
"Pays" is what a $1 stake returns if that outcome happens, at the price shown (before any fees). Bid and ask are the best prices to sell and buy "Yes".
The news: Databricks
Search ›-
Real-time energy trading and analytics on DatabricksSee how Databricks combines real-time energy trading, risk monitoring, machine learning, and historical analytics with one platform and one governance model. by Victoria Sicking and Jack Yallop Stale data is more than an inconvenience for… -
PySpark Window Functions on Databricks: Latest-Record Dedup, Running Totals, Sessionisation, and the Frame TrapsWindow functions show up in almost every PySpark interview, and in almost every real pipeline: deduplicating CDC feeds, picking the latest record per key, running totals, sessionisation. They're also an easy place to write code that's… -
Databricks for AI EngineeringAlmost every agent running inside a company today is read-only. It searches, it summarises, it answers questions about data somebody else already wrote down, and it changes nothing. Nobody sat in a meeting and decided this. It is what you… -
PySpark Caching on Azure Databricks: cache() vs persist() vs checkpoint(), the Disk Cache, and When Caching HurtsOn Databricks you'll run into: They solve different problems. The Spark cache saves recomputation (joins, aggregations, UDFs). The disk cache saves I/O from ADLS. Interviewers like asking for this distinction, so it's worth being crisp… -
Databricks' latest improves AI memory, infrastructure for agentsDatabricks continues to refine AI development. This week, Databricks unveiled two new tools meant to address the enterprise-level challenge of making and maintaining reliable AI agents. Agent Memory, in beta testing, addresses the quality… -
Spark Join Strategies on Databricks: Broadcast, Sort-Merge, Shuffle Hash, and What AQE ChangesThis post walks through the join strategies Spark actually uses, how it chooses between them, how Adaptive Query Execution (AQE) changes that decision at runtime, and the hints you can use when you know better than the optimizer. For… -
SpaceX AI launches partner network with names like Nvidia, Databricks, BainTradingView SpaceX AI launches partner network with names like Nvidia, Databricks, Bain - SpaceX's artificial intelligence unit launched a partner network with more than 130 companies, including Nvidia , Databricks, Bain & Company, and… -
Building a Configuration-Driven Databricks Platform on AWS (Part 1)If your platform team is bottlenecked by manual AWS console clicks and fragmented Terraform scripts every time someone needs a new Databricks workspace, you have a scaling problem. A request for another Databricks workspace involves more… -
Suntory Oceania taps Databricks, Copilot Pro in AI driveSuntory Oceania is bolstering its AI capabilities with investments in Databricks and Copilot Pro, while at the same time exploring native agentic options for its SAP core. Digital and IT director Matt Dixon told the SAP NOW AI Tour in… -
Deploy RFD4-Proteina on DatabricksBring RFD4-Proteina, co-developed by the University of Washington Institute for Protein Design and NVIDIA, with research data, AI-assisted development and serverless GPU compute on Databricks. by Srijit Chandrashekhar Nair, Mark Lee… -
WisdomAI vs. Databricks GenieDon’t get bricked into Databricks’ walled garden. Genie only lets you explore what’s inside. With WisdomAI, every user can ask and answer their own questions, no matter where the data lives. Trusted byenterprise data teams Unity catalog… -
Delta Lake Table Maintenance on Databricks: OPTIMIZE, Z-ORDER vs Liquid Clustering, and VACUUMMost Delta tables don't get slow because of one bad query. They get slow because nobody looks after them. Streaming jobs and frequent small batch writes leave thousands of tiny files behind, deletes and updates leave old files sitting in…
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Odds are traders' prices on Kalshi, Polymarket, ForecastEx and Crypto.com, not forecasts by 4Search. Prices read from the venues 3 min ago. Prices may be delayed. Money traded on Kalshi and ForecastEx is estimated from contracts. Not betting or investment advice.
Prediction-market prices are what traders pay for each outcome on Kalshi, Polymarket, ForecastEx and Crypto.com, read as the market's implied chance. They are not forecasts by 4Search, can move fast and can be wrong; they are read every few minutes and may be delayed. Money traded on Kalshi and ForecastEx is estimated from contracts at their price. News comes from the 4Search index; prices of stocks, rates and coins from 4Search Finance. Nothing here is betting, financial or investment advice. Terms of use. How to use Predictions