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It allows you to host your cloud-to-cloud, cloud-to-on-premises integrations and API backends on a scalable cloud platform. | It is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud. |
Robust cloud-to-cloud and cloud-to-enterprise integration; Manage, monitor and analyze; Expose integrations in api cloud; Complete container-based application hosting platform | Real-Time Integration;
Parallel Processing;
Data Chunker;
Data Masking;
Proactive Monitoring;
Big Data Processing |
Statistics | |
GitHub Stars - | GitHub Stars 516 |
GitHub Forks - | GitHub Forks 610 |
Stacks 6 | Stacks 253 |
Followers 13 | Followers 484 |
Votes 0 | Votes 0 |
Integrations | |

We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.

It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.

Get a server running in minutes with your choice of Linux distro, resources, and node location.

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Cloud Servers is based on OpenStack, the open and scalable operating system for building public and private clouds. With the open cloud, you get reliable cloud hosting, without locking your data into one proprietary platform.

Distributed SQL Query Engine for Big Data

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.