Accelerite, the Silicon Valley based company focussed on Hybrid Clouds and Big Data, today announced the next version of their data analytics product, ShareInsights 2.0. ShareInsights is their self service data analysis product focussed on taking the grunt work out of business users and make it easy for them to gain critical insights needed for their organization. Their product offers data preparation (ETL), OLAP, visualization and collaboration in one single interface, making it an end to end stack for data analysis.
Market Landscape
Ever since big data infrastructure became mature, mainly driven by open source technologies, the focus has shifted to data analytics and machine learning. From offering superior customer experience to gaining critical business insights from disparate sources to developing product roadmaps, data analytics is becoming the core competency of any modern enterprise. The biggest pain points felt by modern enterprise decision makers were in data analysis, data transformation and data collection. The big expectation from the decision makers is to have a tool that seamlessly breaks down the data silos across disparate set of data sources. One of the biggest asks from business to enterprise decision makers is a self service analytics tools which takes the groundwork out of getting the data ready for analysis.
Company and Product
Shareinsights is Accelerite’s big data analytics tools that is focussed on offering business users a self service tool to gain insights from large volumes of data. Accelerite also has Rovius hybrid cloud platform and Concert for IoT. Unlike Rovius which is an acquisition, Shareinsights was built from ground up with a single goal of simplifying data analysis and take any pain out of business users that can slow them down. The key focus in their product is speed whether it is the speed of getting started with an analytics product using their platform or the platform speed itself. The platform can run on Hadoop or Kafka, easily integrating with your existing tools in your organization. The platform accelerates the lifecycle from infrastructure operator to business user, by streamlining the flow from data preparation to transformation to visualization.
With Shareinsights 2.0, it is easy to process large volumes of data from multiple sources, whether it is a CSV file or API from a third party service. It is easy to blend data from across multiple functions inside the organization and gain insights beyond what is usually available in legacy analytics tools. They have also included vast library for machine learning algorithms, making it easy for even business users to run machine learning models on top of data and gain critical insights.
Customer Expectations
The typical customer expectation from a tool like Shareinsights are:
- Integration with multiple data sources
- Powerful filtering capabilities in the UI to blend data across various sources and functions to gain insights
- powerful machine learning capabilities
Shareinsights 2.0 appears (from the demo we used for our evaluation) to solve these needs and we expect the tool to meet the needs of modern enterprises. We will continue to watch their progress and talk to customers in the future to gain better insights on their product in the future.
Competitors
Panoply, Tableau Software, AtScale and others