Setup In Weeks, Not Months

Minely reduces the setup time to hours since it takes care of all the infrastructure, be it a distributed file system, real-time streaming, or complex event processing. Minely simplifies the use of big data technologies by letting you focus on your mission and core business.

Blazing Fast Distributed Analytics

Minely harnesses the power of Apache Spark –  a fast and general engine for large-scale data processing. 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. Spark is used at a wide range of organisations to process large datasets. As of 2016, surveys show that more than 1000 organizations are using Spark in production.

Batch, Streaming or Just In Time Processing

Minely can acquire, model, filter & analyse data in batch, streaming or just in time seamlessly. Traditional data warehouses require you to plan for the maximum load at any given time, making them inheritely rigid due to its schema-on-write architecture and are limited to SQL queries. With Minely, users can connect to multiple sources and define tables without moving the data. Rather than schema on write, Minely utilises a schema on read functionality that maps to the physical data.

Reduced Integration Complexity

Minely presents a unified data mining platform – from data ingestion and data blending, to searching and visual discovery, leading to measurable automated actions. As a result, Minely reduces the technical challenges which are often required in the setup and day-to-day operations of a big data project.

Smart Execution

Minely utilises a smart execution engine which can determine whether queries are executed on Apache Spark or at the remote source for optimal performance.

Scalable

Minely is powered with innovative and leading big data technology that makes it possible for our customers to scale deployments to handle petabyte-scale of data. Minely’s technology stack includes Hadoop, HBase, Kafka, Spark, Solr and MongoDB.

Cloud, Fog or On-Premise

Various deployment models are supported. Either as a service, hosted on our cloud, deployed on edge devices, or in your own premise for larger enterprises that require specific compliancy. It is also possible to start on our public cloud and switch to a private installation. Minely does not require specific proprietary hardware; it has been designed to run on commodity hardware in order to reduce the total cost of ownership.

Learn how Minely can help you

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