Average Ratings 2 Ratings

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ease
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Average Ratings 0 Ratings

Total
ease
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Description

BangDB seamlessly incorporates AI, streaming capabilities, graph processing, and analytics directly within its database, empowering users to handle intricate data types like text, images, videos, and objects for immediate data processing and analysis. Users can ingest or stream various data types, process them, train models, make predictions, uncover patterns, and automate actions, facilitating applications such as IoT monitoring, fraud prevention, log analysis, lead generation, and personalized experiences. Modern applications necessitate the simultaneous ingestion, processing, and querying of diverse data types to address specific challenges effectively. BangDB accommodates a wide array of valuable data formats, simplifying problem-solving for users. The increasing demand for real-time data is driving the need for concurrent streaming and predictive analytics, which are essential for enhancing and optimizing business operations. As organizations continue to evolve, the ability to rapidly adapt to new data sources and insights will become increasingly vital for maintaining a competitive edge.

Description

Circonus IRONdb simplifies the management and storage of limitless telemetry data, effortlessly processing billions of metric streams. It empowers users to recognize both opportunities and challenges in real time, offering unmatched forensic, predictive, and automated analytics capabilities. With the help of machine learning, it automatically establishes a "new normal" as your operations and data evolve. Additionally, Circonus IRONdb seamlessly integrates with Grafana, which natively supports our analytics query language, and is also compatible with other visualization tools like Graphite-web. To ensure data security, Circonus IRONdb maintains multiple copies across a cluster of IRONdb nodes. While system administrators usually oversee clustering, they often dedicate considerable time to its upkeep and functionality. However, with Circonus IRONdb, operators can easily configure their clusters to run autonomously, allowing them to focus on more strategic tasks rather than the tedious management of their time series data storage. This streamlined approach not only enhances efficiency but also maximizes resource utilization.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache CouchDB No 
Apache Kafka No 
CentOS No 
Elasticsearch No 
Google Cloud Platform No 
Graphite No 
HashiCorp Consul No 
HashiCorp Nomad No 
HashiCorp Vault No 
Kubernetes No 
MongoDB No 
MySQL No 
OpenTSDB No 
Opsgenie No 
PagerDuty No 
PostgreSQL No 
Redis No 
Riak KV No 
Terraform No 
memcached No 

Integrations

Apache CouchDB Yes 
Apache Kafka Yes 
CentOS Yes 
Elasticsearch Yes 
Google Cloud Platform Yes 
Graphite Yes 
HashiCorp Consul Yes 
HashiCorp Nomad Yes 
HashiCorp Vault Yes 
Kubernetes Yes 
MongoDB Yes 
MySQL Yes 
OpenTSDB Yes 
Opsgenie Yes 
PagerDuty Yes 
PostgreSQL Yes 
Redis Yes 
Riak KV Yes 
Terraform Yes 
memcached Yes 

Pricing Details

$2,499 per year
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

BangDB

Founded

2012

Website

bangdb.com

Vendor Details

Company Name

Circonus

Founded

2010

Country

United States

Website

www.circonus.com/use-cases/time-series-database/

Product Features

NoSQL Database

Auto-sharding No 
Automatic Database Replication No 
Data Model Flexibility No 
Deployment Flexibility No 
Dynamic Schemas No 
Integrated Caching No 
Multi-Model No 
Performance Management No 
Security Management No 

Product Features

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