OvalEdge by the Numbers
50%
less time to discover data in any database in the organization
50%
lower in total ownership cost than other solutions-
60%
lower in product cost
-
40%
lower in implementation cost
80%
less time to build insights
1month
is the average time to implement the data catalogWe’re Here to Help
Everyone at OvalEdge is motivated about building long-term partnerships with our customers. Just raise your hand and let us know if you need help with:
Our Partners
Sisense
Sisense empowers builders to deliver insights on complex data, so users can achieve better business outcomes. Delivered on our pioneering end-to-end cloud-native analytics platform and powered by AI, Sisense offers unparalleled agility with three distinct packages tailored to the unique challenges of the teams chartered with driving the third wave of digital transformation.
Sisense
MAPR
MapR was a business software company headquartered in Santa Clara, California. MapR software provides access to a variety of data sources from a single computer cluster, including big data workloads such as Apache Hadoop and Apache Spark, a distributed file system, a multi-model database management system, and event stream processing, combining analytics in with operational applications. Its technology runs on both commodity hardware and public cloud computing services.
MAPR
Amazon Webservices
Amazon Web Services is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. In aggregate, these cloud computing web services provide a set of primitive abstract technical infrastructure and distributed computing building blocks and tools.
Amazon Webservices
Cloudera
Cloudera, Inc. is a US-based software company that provides a software platform for data engineering, data warehousing, machine learning and analytics that runs in the cloud or on premises. Cloudera started as a hybrid open-source Apache Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop), that targeted enterprise-class deployments of that technology. Cloudera states that more than 50% of its engineering output is donated upstream to the various Apache-licensed open source projects (Apache Spark, Apache Hive, Apache Avro, Apache HBase, and so on) that combine to form the Apache Hadoop platform. Cloudera is also a sponsor of the Apache Software Foundation.
Cloudera
Google Cloud Platform
Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning. Registration requires a credit card or bank account details. Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments.
Google Cloud Platform
Microsoft Azure
Microsoft Azure, commonly referred to as Azure, is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers. It provides software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) and supports many different programming languages, tools, and frameworks, including both Microsoft-specific and third-party software and systems.
Microsoft Azure
Hortonworks
Hortonworks was a data software company based in Santa Clara, California that developed and supported open-source software designed to manage Big Data and associated processing. Hortonworks software was used to build enterprise data services and applications such as IOT (connected cars, for example), single view of X (such as customer, risk, patient), and advanced analytics and machine learning (such as next best action and realtime cybersecurity).
Hortonworks
See OvalEdge in action
.png?width=720&height=160&name=logo%20(10).png)
.png){kind=logo}
