Graph EngineMicrosoft
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Related Products
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About
With an in-memory, columnar database and MPP architecture, you can query billions of rows in seconds. Queries are distributed across all nodes in a cluster, providing linear scalability for more users and advanced analytics. MPP, in-memory, and columnar storage add up to the fastest database built for data analytics. With SaaS, cloud, on premises and hybrid deployment options you can analyze data wherever it lives. Automatic query tuning reduces maintenance and overhead. Seamless integrations and performance efficiency gets you more power at a fraction of normal infrastructure costs. Smart, in-memory query processing allowed this social networking company to boost performance, processing 10B data sets a year. A single data repository and speed engine to accelerate critical analytics, delivering improved patient outcome and bottom line.
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About
Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set. The capability of fast data exploration and distributed parallel computing makes GE a natural large graph processing platform. GE supports both low-latency online query processing and high-throughput offline analytics on billion-node large graphs. Schema does matter when we need to process data efficiently. Strongly-typed data modeling is crucial for compact data storage, fast data access, and clear data semantics. GE is good at managing billions of run-time objects of varied sizes. One byte counts as the number of objects goes large. GE provides fast memory allocation and reallocation with high memory ratios.
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Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Big data solution for organizations
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Audience
Companies and developers looking for a distributed in-memory data processing engine solution
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
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API
Offers API
Supported
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
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Company InformationExasol
Germany
www.exasol.com
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Company InformationMicrosoft
Founded: 1975
United States
www.graphengine.io
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Categories |
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Big Data Features
Collaboration
Not Supported
Data Blends
Not Supported
Data Cleansing
Supported
Data Mining
Not Supported
Data Visualization
Supported
Data Warehousing
Supported
High Volume Processing
Supported
No-Code Sandbox
Supported
Predictive Analytics
Not Supported
Templates
Supported
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Integrations
Alteryx
Supported
Apache Superset
Supported
Astro by Astronomer
Supported
Azure Marketplace
Supported
CONVAYR
Supported
Data Virtuality
Supported
DataClarity Unlimited Analytics
Supported
DataGrip
Supported
DbVisualizer
Supported
Emgage
Supported
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Integrations
Alteryx
Not Supported
Apache Superset
Not Supported
Astro by Astronomer
Not Supported
Azure Marketplace
Not Supported
CONVAYR
Not Supported
Data Virtuality
Not Supported
DataClarity Unlimited Analytics
Not Supported
DataGrip
Not Supported
DbVisualizer
Not Supported
Emgage
Not Supported
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