KairosDB vs OpenTSDB

Struggling to choose between KairosDB and OpenTSDB? Both products offer unique advantages, making it a tough decision.

KairosDB is a Ai Tools & Services solution with tags like time-series, database, scalable, java, cassandra.

It boasts features such as Scalable time series data storage, High performance write and query operations, Plugin architecture for custom data processing, Integration with Cassandra for distributed storage, REST API for data access, Aggregation functions for time series data analysis and pros including Highly scalable to handle large time series data, Fast write performance for ingesting high velocity data, Flexible query capabilities, Easy to deploy and manage, Integrates with existing Cassandra clusters, Open source with active development community.

On the other hand, OpenTSDB is a Development product tagged with time-series, monitoring, analytics.

Its standout features include Distributed and horizontally scalable architecture, Built on top of HBase for reliability and scalability, Customizable rollup tables for aggregating data, Tag-based metric model for organizing time series data, HTTP API for writing and querying data, Support for downsampling and aggregation of data, Plugin architecture for adding functionality, and it shines with pros like Handles massive amounts of time series data, Low latency queries, Easy to scale horizontally, Integrates well with Hadoop ecosystem, Open source and free to use.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

KairosDB

KairosDB

KairosDB is a fast, scalable, open source time series database that is designed to analyze large amounts of time-stamped data. It is written in Java and built on top of Cassandra for high scalability and performance.

Categories:
Ai Tools & Services Time Series Databases
time-series database scalable java cassandra

KairosDB Features

  1. Scalable time series data storage
  2. High performance write and query operations
  3. Plugin architecture for custom data processing
  4. Integration with Cassandra for distributed storage
  5. REST API for data access
  6. Aggregation functions for time series data analysis

Pricing

  • Open Source

Pros

Highly scalable to handle large time series data

Fast write performance for ingesting high velocity data

Flexible query capabilities

Easy to deploy and manage

Integrates with existing Cassandra clusters

Open source with active development community

Cons

Limited ad-hoc analytics compared to full analytics databases

Less ecosystem support than more established databases

Requires expertise with Cassandra for production deployments

Not ideal for complex time series modeling

OpenTSDB

OpenTSDB

OpenTSDB is a distributed, scalable time series database optimized for storing and serving massive amounts of time series data without losing granularity. It's designed to be used as a backend for monitoring systems and analytics platforms.

Categories:
Development Databases
time-series monitoring analytics

OpenTSDB Features

  1. Distributed and horizontally scalable architecture
  2. Built on top of HBase for reliability and scalability
  3. Customizable rollup tables for aggregating data
  4. Tag-based metric model for organizing time series data
  5. HTTP API for writing and querying data
  6. Support for downsampling and aggregation of data
  7. Plugin architecture for adding functionality

Pricing

  • Open Source

Pros

Handles massive amounts of time series data

Low latency queries

Easy to scale horizontally

Integrates well with Hadoop ecosystem

Open source and free to use

Cons

Limited ad-hoc querying capabilities

Steep learning curve

Not optimized for real-time streaming data

No built-in visualization or dashboarding