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Safe Software Case Studies

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    4.7 / 5.0
    Customer References28 total
    About

    Citus Data is venture backed by Khosla Ventures and Data Collective. At Citus Data, ​​their ​​mission ​​is ​​to ​​make ​​it ​​so ​​developers ​​never ​​have ​​to ​​worry ​​about ​​scaling ​​their database again. ​​Citus is worry-free Postgres that is built to scale out. Made for SaaS companies and enterprises, Citus ​​is ​​an ​​extension ​​to ​​Postgres ​​that transforms PostgreSQL into a distributed database. Their Citus database ​​is ​​available ​​as open source, as​​ enterprise ​​software you can run anywhere, ​​and ​​as ​​a fully-managed database as a service.

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    4.7 / 5.0
    Customer References29 total
    About

    Kognitio is a pioneer in the development of scale-out, in-memory software for big data analytics, providing an ultra-fast, high-concurrency SQL layer that allows modern BI and visualization tools to maintain performance, even when the data volume is large and the user count is high. Kognitio puts standard SQL in front of your Hadoop cluster or data warehouse. On Hadoop it is a standard YARN application, which easily integrates with your existing Hadoop workflows. It's also free to use on Hadoop: in production, in development, in testing, anywhere. For non-Hadoop data sources, can be installed on a standalone hardware infrastructure.

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    4.7 / 5.0
    Customer References72 total
    About

    Ontotext is a global leader in semantic technology and knowledge graph solutions. It helps enterprises lower data management costs by up to 30%, enable data fabric architectures, structure and integrate complex siloed data, making it accessible, interpretable, and reusable. Ontotext is the vendor of GraphDB - a highly scalable and performant RDF database engine used for building knowledge graphs - and a few other distinct products. This makes the company a suitable choice for handling large-scalce datasets, for powerful and cost effective text analysis, and for enterprise knowledge management, where deriving meaning and context from unstructured and semi-structured data is of prime importance.

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