Rockset enables real-time analytics for Oracle users

Oracle builds industrial-powered databases, servers and storage devices that are the fastest and toughest in the business, but it doesn’t necessarily do all the work that users are looking for now.

Enter the six-year-old startup Rockset, which has developed a real-time analytics platform for cloud apps, including Oracle. For San, the Calif.-based startup announced a new integration with the giant database company on June 1, which it claims enables developers to real-time search, integrate and “connect” to Oracle database data.

A growing number of enterprises are investing in real-time analytics as a basis for their digital upgrades, particularly in areas such as ecommerce, logistics and delivery tracking, fraud detection systems, health and fitness trackers and recommendation engines.

Oracle databases, while becoming more user-friendly in recent years as the company shifts its operations base to the cloud, have never been easier to manage and maintain. Using analytics on a database has long been a particularly challenging set of tasks.

RockSet’s Chief Product Officer Shruti Bhatt said in a media advisory, “Businesses that want to use data from their Oracle database are traditionally concerned with reed replicas on user-facing analytics that are either too expensive or loaded into a warehouse that is too slow.” Have. ” “Rockset now ingests real-time change data capture (CDC) streams from Oracle, and indexes each region to enable low latency, high-time analysis, without the complexity of traditional approaches.”

As IT moves from the world batch to real-time analytics, Bhatt said the release enables developers to use Oracle:

  • Run sub-second analytical questionsIncluding connecting to other databases, lakes or event streams;
  • Achieve better database performance Isolating analytical questions on a rocketset, which in turn scales horizontally in the cloud; And
  • Power fast microservices Deliver real-time reporting using the Developer SDK or using RockSet integration with visualization tools including Tableau, Retool, Redash and Superset.

Roxet CEO Venkat Venkataramani told VentureBeat that these connections are not provided by the API but are a fully-fledged cloud-service entity.

“So, let’s say you’re managing your system of records database, which is MySQL, Postgres, MongoDB or what you have,” Venkataramani said. “You create an account with Rockset. You point us to your MongDB database, and we have built-in connectors that will ensure that we can copy data from your model to Rockset in real time. You don’t have to lift a finger; You do not need to write any part of the code. And that data will be one to two seconds behind the source of truth. This will be true for all your operational databases. This is also true of Kafka and Kinesis and whatever data stream you are processing and collecting.

“And this is also true if you store data in your pond, whether it’s S3, GCS or whatever you have. And so out of all these sources, we have built-in connectors at the push of a button. When you load data into Rockset, it automatically indexes the data in Quick SQL Tables. And on top of that we have a full-featured SQL engine. ”

Rockset was founded and built by the team behind the online data infrastructure that powers Facebook (meta) newsfeeds and search. Rockset is inspired by the same indexing systems that power real-time analytics on a cloud scale, Venkatramani said.

As new data is ingested in real-time, Rockset Batch allows for continuous change and rollup without the need for ETL jobs. Data is automatically indexed in the Convergent Index, combining with fast search, aggregation and cloud-native speed and scale on real-time data, Venkataramani said.

Gartner Research Rockset competes in similar markets such as:

  • Radis Enterprise Cloud
  • Claudera Enterprise Data Hub
  • Databrix Lakehouse Platform
  • Vertica Analytics Platform
  • Neo4j
  • CockroachDB
  • YugabyteDB

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