The Autonomous Data Engine Description
Today there is a constant buzz about how top companies are using big data to gain competitive advantage. Your company is trying to be one of these market-leading companies. The reality is that more than 80% of big-data projects fail to go to production. This is because project implementation can be complex and resource-intensive. It can take months, if not years, to complete. The technology is complex and the people with the right skills are difficult to find. Automates all data workflows, from source to consumption. Automates the migration of data and workloads between legacy Data Warehouse systems and big data platforms. Automates the orchestration and management complex data pipelines in production. Alternative methods, such as custom development or stitching together multiple points solutions, are more expensive, inflexible and time-consuming, and require specialized skills to assemble.
The Autonomous Data Engine Alternatives
Google Cloud BigQuery
ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys
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Domo
Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.
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Looker
Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.
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Qrvey
Qrvey is the only solution for embedded analytics with a built-in data lake.
Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house.
Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience.
Qrvey's solution offers:
- Built-in data lake powered by Elasticsearch
- A unified data pipeline to ingest and analyze any type of data
- The most embedded components - all JS, no iFrames
- Fully personalizable to offer personalized experiences to users
With Qrvey, you can build less software and deliver more value.
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Pricing
Free Trial:
Yes
Integrations
Company Details
Company:
Infoworks
Year Founded:
2014
Headquarters:
United States
Website:
www.infoworks.io
Media
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The Autonomous Data Engine Features and Options
Big Data Software
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
The Autonomous Data Engine User Reviews
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