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DatabricksX (Twitter)

Databricks announces Gemini 4 Argon is available on its platform, highlighting its strong performance.

Source

XOct 14, 2026

@databricks

likes
25
replies
1
reposts
6
quotes
3
views
2,178
bookmarks
2

Post

Gemini 4 Argon is available on Databricks today, day 0️⃣. We had early access and ran it through our internal benchmarks. It's the strongest @Google Gemini model we've tested, with the best results on our internal coding tasks and OfficeQA Pro V2, our flagship enterprise agentic benchmark. Point it at the data already in your Lakehouse. Unity Gateway handles governance, monitoring, and security for every call. Try Gemini 4 Argon → https://t.co/UuNtpXQQQP

x.com/databricks/status/2110196845636984893Read the full source

Extracted by Autobound

From the Signal API record
Signal
X (Twitter)
Account
@databricks
Account location
HQ: San Francisco, CA

More X (Twitter) signals at other companies

The full record

From the Signal API record

Details

Handle
Databricks
Verified account
No
Followers
98,405

Topics and mentions

Tags

  • Artificial Intelligence
  • Machine Learning
  • Data Management
  • Cloud

Urls

  • https://docs.databricks.com/aws/en/release-notes/product/2026/october#google-gemini-4-argon-is-now-available-on-unity-gateway

Accounts mentioned

  • @Google

Initiatives

  • Gemini 4 Argon availability on Databricks

Technologies named

  • Gemini 4 Argon
  • Google Gemini

Extraction

Detected
Oct 14, 2026
signal_type
twitter-company-posts
signal_subtype
twitter_post

Use this data

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The API returns more than this page shows

This page shows a preview. The full twitter-company-posts record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/70a4ac7d-cd5b-4010-8b4d-2dd3746911cc returns this record as JSON. POST /v1/companies/enrich returns every signal for databricks.com.

{
  "signal_id": "70a4ac7d-cd5b-4010-8b4d-2dd3746911cc",
  "signal_type": "twitter-company-posts",
  "signal_subtype": "twitter_post",
  "detected_at": "2026-10-14T02:31:48+00:00",
  "company": {
    "name": "Databricks",
    "domain": "databricks.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Machine Learning",
      "Cloud",
      "Data Management"
    ],
    "urls": [
      "https://docs.databricks.com/aws/en/release-notes/product/2026/october#google-gemini-4-argon-is-now-available-on-unity-gateway"
    ],
    "summary": "Databricks announces Gemini 4 Argon is available on its platform, highlighting its strong performance.",
    "is_reply": false,
    "language": "en",
    "mentions": [
      "@Google"
    ],
    "post_url": "https://x.com/databricks/status/2110196845636984893",
    "tweet_id": "2110196845636984893",
    "num_likes": 25,
    "num_views": 2178,
    "post_text": "Gemini 4 Argon is available on Databricks today, day 0️⃣.\n\nWe had early access and ran it through our internal benchmarks. It's the strongest @Google Gemini model we've tested, with the best results on our internal coding tasks and OfficeQA Pro V2, our flagship enterprise agentic benchmark.\n\nPoint it at the data already in your Lakehouse. Unity Gateway handles governance, monitoring, and security for every call.\n\nTry Gemini 4 Argon → https://t.co/UuNtpXQQQP",
    "num_quotes": 3,
    "initiatives": [
      {
        "topic": "Gemini 4 Argon availability on Databricks",
        "urgency": 0.9
      }
    ],
    "num_replies": 1,
    "num_reposts": 6,
    "posted_date": "Wed Oct 14 02:31:48 +0000 2026",
    "num_bookmarks": 2,
    "company_twitter_bio": "Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.",
    "company_twitter_url": "https://x.com/databricks",
    "company_twitter_handle": "databricks",
    "technologies_mentioned": [
      {
        "name": "Gemini 4 Argon",
        "status": "integrated"
      },
      {
        "name": "Google Gemini",
        "status": "using"
      }
    ],
    "company_twitter_location": "HQ: San Francisco, CA",
    "company_twitter_verified": false,
    "company_twitter_followers": 98405,
    "company_twitter_following": 1116,
    "company_twitter_total_tweets": 15738,
    "company_twitter_account_created": "Tue Jul 02 07:28:36 +0000 2013",
    "company_twitter_verification_type": "Business"
  }
}

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