Graph Engine

Graph Engine

Microsoft
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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.

About

Through its Native Parallel Graph™ technology, the TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you’ve been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data.

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

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

Audience

Companies and developers looking for a distributed in-memory data processing engine solution

Audience

Enterprise businesses looking for a complete Graph Database solution

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • The response time of a query is RealTime and the GSQL as a language is easy to learn.And there is a lot of data loaders like Kafka, CSV, Node Red and many other connectors. And did i mention that TigerGraph is the Graph db Leader.

Cons

  • - Fast - Light - Extensible - Scalable - ML AI - AML

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
www.graphengine.io

Company Information

TigerGraph
United States
www.tigergraph.com

Alternatives

Alternatives

Sparksee

Sparksee

Sparsity Technologies
Dgraph

Dgraph

Hypermode
HyperGraphDB

HyperGraphDB

Kobrix Software
AllegroGraph

AllegroGraph

Franz Inc.
Grakn

Grakn

Grakn Labs

Categories

Graph Databases Supported

Categories

Database Supported
Graph Databases Supported

Integrations

Data Sentinel Not Supported
Hackolade Not Supported
MapWeave Not Supported
Peaka Not Supported
Salesforce Data 360 Not Supported
StarfishETL Not Supported

Integrations

Data Sentinel Supported
Hackolade Supported
MapWeave Supported
Peaka Supported
Salesforce Data 360 Supported
StarfishETL Supported
Claim Graph Engine and update features and information
Claim Graph Engine and update features and information
Claim TigerGraph and update features and information
Claim TigerGraph and update features and information