Graph Engine

Graph Engine

Microsoft
+
+

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About

Circonus IRONdb makes it easy to handle and store unlimited volumes of telemetry data, easily handling billions of metric streams. Circonus IRONdb enables users to identify areas of opportunity and challenge in real time, providing forensic, predictive, and automated analytics capabilities that no other product can match. Rely on machine learning to automatically set a “new normal” as your data and operations dynamically change. Circonus IRONdb integrates with Grafana, which has native support for our analytics query language. We are also compatible with other visualization apps, such as Graphite-web. Circonus IRONdb keeps your data safe by storing multiple copies of your data in a cluster of IRONdb nodes. System administrators typically manage clustering, often spending significant time maintaining it and keeping it working. Circonus IRONdb allows operators to set and forget their cluster, and stop wasting resources manually managing their time series data store.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Time Series Database platform helping IT teams that provides scalable time series storage for environments of all sizes

Audience

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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 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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Circonus
Founded: 2010
United States
www.circonus.com/use-cases/time-series-database/

Company Information

Microsoft
Founded: 1975
United States
www.graphengine.io

Alternatives

Riak TS

Riak TS

Riak

Alternatives

HyperGraphDB

HyperGraphDB

Kobrix Software
Dgraph

Dgraph

Hypermode
Sparksee

Sparksee

Sparsity Technologies

Categories

Categories

Integrations

Amazon Web Services (AWS)
Apache CouchDB
CentOS
Elasticsearch
Google Cloud Platform
Graphite
HashiCorp Nomad
HashiCorp Vault
Microsoft Azure
MySQL
OpenTSDB
Opsgenie
PagerDuty
PostgreSQL
Redis
Riak KV
SQL Server
Slack
Terraform
memcached

Integrations

Amazon Web Services (AWS)
Apache CouchDB
CentOS
Elasticsearch
Google Cloud Platform
Graphite
HashiCorp Nomad
HashiCorp Vault
Microsoft Azure
MySQL
OpenTSDB
Opsgenie
PagerDuty
PostgreSQL
Redis
Riak KV
SQL Server
Slack
Terraform
memcached
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