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What is OpenTSDB?

OpenTSDB consists of a Time Series Daemon (TSD) and a collection of command line utilities. Users mainly interact with OpenTSDB by managing one or more standalone TSDs, which operate without a centralized master or shared state, thereby providing the flexibility to run numerous TSDs as required to handle different workloads. Each TSD relies on HBase, an open-source database, or the Google Bigtable service for the effective storage and retrieval of time-series data. The data schema is optimized for performance, allowing for quick aggregations of similar time series while also reducing storage needs. Users can access the TSD without requiring direct interaction with the backend storage system. Communication with the TSD is facilitated via a simple telnet-style protocol, an HTTP API, or an intuitive built-in graphical user interface. To start using OpenTSDB, users must first send time series data to the TSDs, and there are numerous tools designed to help import data from various sources into the system. Ultimately, OpenTSDB's architecture prioritizes both flexibility and efficiency in the management of time series data, making it a robust solution for diverse user needs.

What is Google Cloud Bigtable?

Google Cloud Bigtable is a robust NoSQL data service that is fully managed and designed to scale efficiently, capable of managing extensive operational and analytical tasks. It offers impressive speed and performance, acting as a storage solution that can expand alongside your needs, accommodating data from a modest gigabyte to vast petabytes, all while maintaining low latency for applications as well as supporting high-throughput data analysis. You can effortlessly begin with a single cluster node and expand to hundreds of nodes to meet peak demand, and its replication features provide enhanced availability and workload isolation for applications that are live-serving. Additionally, this service is designed for ease of use, seamlessly integrating with major big data tools like Dataflow, Hadoop, and Dataproc, making it accessible for development teams who can quickly leverage its capabilities through support for the open-source HBase API standard. This combination of performance, scalability, and integration allows organizations to effectively manage their data across a range of applications.

Media

Media

Integrations Supported

APERIO DataWise
Apache Spark
Auris
Circonus IRONdb
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud IoT Core
Google Cloud Platform
Hadoop
Heroic
InfluxDB
IntelliPay
Layer
OpenTSDB
Peekdata
ThoughtSpot
VictoriaMetrics
YepCode

Integrations Supported

APERIO DataWise
Apache Spark
Auris
Circonus IRONdb
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud IoT Core
Google Cloud Platform
Hadoop
Heroic
InfluxDB
IntelliPay
Layer
OpenTSDB
Peekdata
ThoughtSpot
VictoriaMetrics
YepCode

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenTSDB

Company Website

opentsdb.net/overview.html

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/bigtable

Categories and Features

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

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