Axibase Time Series Database vs Beringei

Struggling to choose between Axibase Time Series Database and Beringei? Both products offer unique advantages, making it a tough decision.

Axibase Time Series Database is a Ai Tools & Services solution with tags like time-series, database, iot, devops, it-monitoring.

It boasts features such as Store and query numeric time series data, Analyze time series data using SQL queries, Visualize time series data using built-in graphing tools, Real-time aggregation and filtering of time series data, Rule-based alerting on time series, Plugin architecture to extend functionality, REST API for integration and pros including Purpose-built for time series data, High performance and scalability, Powerful analytics capabilities, Open source and free to use, Easy to set up and 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.

Axibase Time Series Database

Axibase Time Series Database

Axibase Time Series Database (ATSD) is an open-source time series database optimized for collecting, storing, analyzing, graphing, and visualizing numeric time series data. It is designed for IoT/DevOps/IT monitoring use cases.

Categories:
Ai Tools & Services Time Series Database
time-series database iot devops it-monitoring

Axibase Time Series Database Features

  1. Store and query numeric time series data
  2. Analyze time series data using SQL queries
  3. Visualize time series data using built-in graphing tools
  4. Real-time aggregation and filtering of time series data
  5. Rule-based alerting on time series
  6. Plugin architecture to extend functionality
  7. REST API for integration

Pricing

  • Open Source
  • Free
  • Subscription-Based

Pros

Purpose-built for time series data

High performance and scalability

Powerful analytics capabilities

Open source and free to use

Easy to set up and use

Cons

Limited to time series data only

Steep learning curve for full functionality

Limited ecosystem compared to more established databases

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