Striim.

It's 3 a.m. and the data is already moving.

Somewhere over the Atlantic, an American Airlines technician scans a part. A shopper in Bradford drops a tub of Morrisons yoghurt into a basket. A UPS truck pings a depot. None of these people are thinking about databases. But in the half-second after each event happens, a record changes in some system of record - and Striim is already reading it, shaping it, and handing it to a cloud warehouse where someone, or some model, can act on it before the moment goes cold.

That is the whole pitch, and it is smaller and stranger than it sounds. For decades, enterprise data lived two lives. There was the live database, busy and operational, and there was the analytics copy, refreshed overnight in a batch job while everyone slept. By the time you asked a question, you were asking it of yesterday. Striim's founders found this arrangement absurd. Their fix was not to make the batch faster. It was to delete the night.

The trick has a name - change data capture, or CDC - and it is gloriously unglamorous. Instead of repeatedly asking a database "what's new?", Striim quietly reads the database's own transaction log, the running diary every database keeps of its own changes. Each insert, update and delete becomes an event in a stream. You can filter it, enrich it, mask the private bits, run SQL against it while it's still in flight, and land it in Snowflake, Databricks, BigQuery or Microsoft Fabric. The data arrives in seconds, not by sunrise.

One platform, several ways to never wait again.

Striim sells the same idea in a few shapes, depending on whether you want to run it yourself or hand it over entirely. The throughline is constant: data in motion, queried before it lands.

Four rounds, one steadily hotter category.

Striim has raised across Series A through C, with Intel Capital, Summit Partners, Atlantic Bridge, Dell Technologies Capital and Bosch Ventures along the way. The 2021 Series C - $50M led by Goldman Sachs Growth Equity - landed just as "real-time data" stopped being a niche and started being the assumption.

We are thrilled to partner with Goldman Sachs to scale out and accelerate Striim's adoption in our core enterprise markets. Ali Kutay, CEO, on the Series C

It plays nicely with the clouds. It races the rest.

Striim's partners are the destinations its streams flow into - Google Cloud, Microsoft Azure and Fabric, Snowflake, Databricks and AWS. Its competitors are everyone else trying to shorten the distance between an event and a decision: Confluent, Fivetran, Qlik Replicate, Oracle GoldenGate, Debezium, AWS DMS, Informatica and Airbyte among them.

Back to 3 a.m.

It's still 3 a.m. The technician still scans the part, the shopper still grabs the yoghurt, the truck still pings the depot. Nothing about the world got faster. What changed is the gap that used to sit between the event and the answer - the dark hours when the data sat in a queue, waiting for a batch job to wake up and notice it.

Striim closed that gap. The night job is gone, and with it the quiet assumption that knowing-now is a luxury. For the companies on its customer list, "what is happening" and "what just happened" have collapsed into the same sentence. That is a smaller revolution than the marketing decks suggest, and a more useful one. The data was always being born. Striim simply stopped letting it grow old before anyone looked.