May
05
2020
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Orca Security raises $20M Series A for its multi-cloud security platform

Orca Security, an Israeli cloud security firm that focuses on giving enterprises better visibility into their multi-cloud deployments on AWS, Azure and GCP, today announced that it has raised a $20 million Series A round led by GGV Capital. YL Ventures and Silicon Valley CISO Investments also participated in this round. Together with its seed investment led by YL Ventures, this brings Orca’s total funding to $27 million.

One feature that makes Orca stand out is its ability to quickly provide workload-level visibility without the need for an agent or network scanner. Instead, Orca uses low-level APIs that allow it to gain visibility into what exactly is running in your cloud.

The founders of Orca all have a background as architects and CTOs at other companies, including the likes of Check Point Technologies, as well as the Israeli army’s Unit 8200. As Orca CPO and co-founder Gil Geron told me in a meeting in Tel Aviv earlier this year, the founders were looking for a big enough problem to solve and it quickly became clear that at the core of most security breaches were misconfigurations or the lack of security tools in the right places. “What we deduced is that in too many cases, we have the security tools that can protect us, but we don’t have them in the right place at the right time,” Geron, who previously led a security team at Check Point, said. “And this is because there is this friction between the business’ need to grow and the need to have it secure.”

Orca delivers its solution as a SaaS platform and on top of providing work level visibility into these public clouds, it also offers security tools that can scan for vulnerabilities, malware, misconfigurations, password issues, secret keys in personally identifiable information.

“In a software-driven world that is moving faster than ever before, it’s extremely difficult for security teams to properly discover and protect every cloud asset,” said GGV managing partner Glenn Solomon . “Orca Security’s novel approach provides unparalleled visibility into these assets and brings this power back to the CISO without slowing down engineering.”

Orca Security is barely a year and a half old, but it also counts companies like Flexport, Fiverr, Sisene and Qubole among its customers.

Jun
10
2019
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Qubole launches Quantum, its serverless database engine

Qubole, the data platform founded by Apache Hive creator and former head of Facebook’s Data Infrastructure team Ashish Thusoo, today announced the launch of Quantum, its first serverless offering.

Qubole may not necessarily be a household name, but its customers include the likes of Autodesk, Comcast, Lyft, Nextdoor and Zillow . For these users, Qubole has long offered a self-service platform that allowed their data scientists and engineers to build their AI, machine learning and analytics workflows on the public cloud of their choice. The platform sits on top of open-source technologies like Apache Spark, Presto and Kafka, for example.

Typically, enterprises have to provision a considerable amount of resources to give these platforms the resources they need. These resources often go unused and the infrastructure can quickly become complex.

Qubole already abstracts most of this away, offering what is essentially a serverless platform. With Quantum, however, it is going a step further by launching a high-performance serverless SQL engine that allows users to query petabytes of data with nothing else but ANSI-SQL, giving them the choice between using a Presto cluster or a serverless SQL engine to run their queries, for example.

The data can be stored on AWS and users won’t have to set up a second data lake or move their data to another platform to use the SQL engine. Quantum automatically scales up or down as needed, of course, and users can still work with the same metastore for their data, no matter whether they choose the clustered or serverless option. Indeed, Quantum is essentially just another SQL engine without Qubole’s overall suite of engines.

Typically, Qubole charges enterprises by compute minutes. When using Quantum, the company uses the same metric, but enterprises pay for the execution time of the query. “So instead of the Qubole compute units being associated with the number of minutes the cluster was up and running, it is associated with the Qubole compute units consumed by that particular query or that particular workload, which is even more fine-grained,” Thusoo explained. “This works really well when you have to do interactive workloads.”

Thusoo notes that Quantum is targeted at analysts who often need to perform interactive queries on data stored in object stores. Qubole integrates with services like Tableau and Looker (which Google is now in the process of acquiring). “They suddenly get access to very elastic compute capacity, but they are able to come through a very familiar user interface,” Thusoo noted.

 

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