Data Analytics News: Ocient Wins $100M Series C Boost

Today’s data analytics news is dominated by money and by agents: a $100M round for a petabyte-scale analytics vendor, Snowflake’s push into self-healing pipelines, and fresh Iceberg-centric releases from Google, Databricks and the Apache community. If you build or query data platforms for a living, these are the updates from the past several days that are worth your attention.

Ocient Raises $100M Series C as Agents Drive Analytics Demand

Chicago-based Ocient said on November 5 that it closed a $100 million Series C, bringing total funding to $260 million. The round was co-led by Boka Capital and OCA Ventures, and the company expects revenue to more than triple in its fiscal year ending in January. CEO John Morris says AI agents, rather than human analysts, are increasingly the ones querying the platform, which pushes utilization and the need for unsampled datasets.

Much of the growth comes from national security and telecom customers, and many new deals are on-premises because of cost repatriation and data sovereignty (SiliconANGLE).

Snowflake Unveils Autonomous Data Engineering at Expedition 2026

On November 3, Snowflake announced new capabilities in Snowflake CoCo, its coding agent, including CoCo Cloud Agents and CoCo Automations that take on recurring pipeline repairs while engineers set the guardrails. The release also adds end-to-end real-time analytics with governance applied from the moment data lands, plus an easier path for moving Apache Spark workloads onto Snowflake with fewer code changes.

Christian Kleinerman, EVP of Product, argued that data teams still keep data accurate largely by hand, and that will not scale as agents take on more work. For analysts following this data analytics news, the practical question is how much of the pipeline babysitting these agents can really remove (Business Wire press release).

If you still debug pipelines by hand, our guide to the anatomy of a SQL query is a good refresher on what those agents are actually fixing.

Google BigQuery Makes Iceberg Change History and Agent Observability GA

Google’s weekly Data Cloud roundup for November 2–6 is the most practical data analytics news for BigQuery users this week, with several general-availability milestones. BigQuery change history and continuous queries are now GA for managed Apache Iceberg tables, so you can track row additions with the APPENDS table-valued function and stream incoming rows into other Iceberg tables. BigQuery observability for data agents is also GA, giving teams visibility into latency, cost, adoption and execution traces for conversational analytics.

The Data Engineering Agent now supports BigQuery AI and ML functions inside generated Dataform pipelines, and AlloyDB gained a preview ai.tune_sql function for automated query tuning (Google Cloud Blog).

Databricks and SAP Expand Partnership Around SAP Databricks

At SAP TechEd in Berlin, Databricks and SAP said Genie, Lakeflow, Unity Gateway and Lakebase are coming to SAP Databricks, with Genie also planned to connect to SAP’s Joule assistant. SAP separately unveiled its Application Data Foundation to make business-software data easier to reach without custom copy pipelines. No release dates were given.

The deal matters because Databricks, valued at $190 billion after its August round, wants more of the enterprise data that agents run on. Databricks’ own October release notes also show metric-view relationships in Beta, which let you declare join paths so AI assistants and BI tools pick the right one (The Next Web; Databricks release notes).

Apache Iceberg v4 Votes Advance as Arrow 26.0.1 Ships a Security Fix

The open-source lakehouse stack had a busy week of votes. Apache Iceberg closed its vote on stats-only fields for v4 with 15 +1 votes and no objections, letting engines store min and max statistics for expressions people actually filter on. A second vote on default value expressions gathered quick binding support. Apache Arrow 26.0.1 shipped with a Brotli vulnerability fix, so anyone bundling PyArrow wheels in a product should upgrade, and Iceberg Rust 0.11.0 added client-side encryption on the write path.

This data analytics news summary comes from a community digest of the public ASF mailing lists, so check the lists for the final vote outcomes (Apache Data Lakehouse Weekly).

New to the filtering these statistics speed up? Start with filtering data with the WHERE clause.

What to Watch Next in Data Analytics News

Three themes tie this data analytics news together: agents are becoming the main consumers of analytics platforms, open table formats like Iceberg keep absorbing the warehouse, and governance is moving into the platform layer instead of sitting beside it. Expect more vendors to pitch autonomous pipeline repair, and expect buyers to ask for observability and cost controls before they trust it. We will keep tracking the data analytics news that matters to analysts and engineers.