Graph Engine

Graph Engine

Microsoft
TigerGraph

TigerGraph

5.0 out of 5 stars
Graph Engine TigerGraph

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Graph Engine:

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.
TigerGraph:

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.
Graph Engine:

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
TigerGraph:

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
Graph Engine:

Audience

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

Audience

Enterprise businesses looking for a complete Graph Database solution
Graph Engine:

Support

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported
Graph Engine:

API

Offers API Supported
TigerGraph:

API

Offers API Not Supported
Graph Engine:

Screenshots and Videos

TigerGraph:

Screenshots and Videos

Graph Engine:

Pricing

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

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Graph Engine:

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
TigerGraph:

Reviews/Ratings

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

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
Graph Engine:

Training

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

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Graph Engine:

Company Information

Microsoft
Founded: 1975
United States
www.graphengine.io
TigerGraph:

Company Information

TigerGraph
United States
www.tigergraph.com
Graph Engine:

Alternatives

TigerGraph:

Alternatives

Graph Engine:
Dgraph

Dgraph

Hypermode
TigerGraph:
Graph Engine:
Sparksee

Sparksee

Sparsity Technologies
TigerGraph:
Graph Engine:
HyperGraphDB

HyperGraphDB

Kobrix Software
TigerGraph:
AllegroGraph

AllegroGraph

Franz Inc.
Graph Engine:
TigerGraph:
Grakn

Grakn

Grakn Labs
Graph Engine:

Categories

Graph Databases Supported
TigerGraph:

Categories

Database Supported
Graph Databases Supported
Graph Engine:

Integrations

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

Integrations

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