Beringei vs KairosDB

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

Beringei is a Ai Tools & Services solution with tags like time-series, storage, database, analytics.

It boasts features such as Stores time series data, Optimized for high volume ingestion and low latency reads, Built for resilience with no single point of failure, Automatically shards data, Compresses data for efficient storage, Exposes data via Thrift API, Supports Cassandra for durable storage and pros including Highly scalable and performant, Resilient architecture, Efficient use of storage, Easy to operate at scale, Open source with active development.

On the other hand, KairosDB is a Ai Tools & Services product tagged with time-series, database, scalable, java, cassandra.

Its standout features include 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 it shines with pros like 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.

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.

Beringei

Beringei

Beringei is an open-source time series storage engine developed by Facebook. It is optimized for ingesting and serving high-volume time series data with low latencies.

Categories:
time-series storage database analytics

Beringei Features

  1. Stores time series data
  2. Optimized for high volume ingestion and low latency reads
  3. Built for resilience with no single point of failure
  4. Automatically shards data
  5. Compresses data for efficient storage
  6. Exposes data via Thrift API
  7. Supports Cassandra for durable storage

Pricing

  • Open Source

Pros

Highly scalable and performant

Resilient architecture

Efficient use of storage

Easy to operate at scale

Open source with active development

Cons

Complex installation and configuration

Requires expertise to tune and operate

Limited to time series data only

Less flexible query capabilities than SQL databases


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:
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