OpenTSDB vs Beringei

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

OpenTSDB is a Development solution with tags like time-series, monitoring, analytics.

It boasts features such as 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 pros including 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.

On the other hand, Beringei is a Ai Tools & Services product tagged with time-series, storage, database, analytics.

Its standout features include 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 it shines with pros like Highly scalable and performant, Resilient architecture, Efficient use of storage, Easy to operate at scale, Open source with active development.

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.

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

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:
Ai Tools & Services Data Platforms
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