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Beringei

10
37
+ 1
0
InfluxDB

862
891
+ 1
163
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Beringei vs InfluxDB: What are the differences?

What is Beringei? High performance, in-memory storage engine for time series data (by Facebook). Beringei is a high performance time series storage engine. Time series are commonly used as a representation of statistics, gauges, and counters for monitoring performance and health of a system.

What is InfluxDB? An open-source distributed time series database with no external dependencies. InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out..

Beringei can be classified as a tool in the "In-Memory Databases" category, while InfluxDB is grouped under "Databases".

Beringei and InfluxDB are both open source tools. It seems that InfluxDB with 16.7K GitHub stars and 2.39K forks on GitHub has more adoption than Beringei with 2.88K GitHub stars and 263 GitHub forks.

Advice on Beringei and InfluxDB
Needs advice
on
TimescaleDB
MongoDB
and
InfluxDB

We are building an IOT service with heavy write throughput and fewer reads (we need downsampling records). We prefer to have good reliability when comes to data and prefer to have data retention based on policies.

So, we are looking for what is the best underlying DB for ingesting a lot of data and do queries easily

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Replies (3)
Yaron Lavi
Recommends
PostgreSQL

We had a similar challenge. We started with DynamoDB, Timescale, and even InfluxDB and Mongo - to eventually settle with PostgreSQL. Assuming the inbound data pipeline in queued (for example, Kinesis/Kafka -> S3 -> and some Lambda functions), PostgreSQL gave us a We had a similar challenge. We started with DynamoDB, Timescale and even InfluxDB and Mongo - to eventually settle with PostgreSQL. Assuming the inbound data pipeline in queued (for example, Kinesis/Kafka -> S3 -> and some Lambda functions), PostgreSQL gave us better performance by far.

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Recommends
Druid

Druid is amazing for this use case and is a cloud-native solution that can be deployed on any cloud infrastructure or on Kubernetes. - Easy to scale horizontally - Column Oriented Database - SQL to query data - Streaming and Batch Ingestion - Native search indexes It has feature to work as TimeSeriesDB, Datawarehouse, and has Time-optimized partitioning.

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Ankit Malik
Software Developer at CloudCover · | 3 upvotes · 70.7K views
Recommends
Google BigQuery

if you want to find a serverless solution with capability of a lot of storage and SQL kind of capability then google bigquery is the best solution for that.

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Decisions about Beringei and InfluxDB
Benoit Larroque
Principal Engineer at Sqreen · | 2 upvotes · 53.3K views

I chose TimescaleDB because to be the backend system of our production monitoring system. We needed to be able to keep track of multiple high cardinality dimensions.

The drawbacks of this decision are our monitoring system is a bit more ad hoc than it used to (New Relic Insights)

We are combining this with Grafana for display and Telegraf for data collection

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Pros of Beringei
Pros of InfluxDB
    Be the first to leave a pro
    • 51
      Time-series data analysis
    • 28
      Easy setup, no dependencies
    • 24
      Fast, scalable & open source
    • 21
      Open source
    • 18
      Real-time analytics
    • 6
      Continuous Query support
    • 5
      Easy Query Language
    • 4
      HTTP API
    • 4
      Out-of-the-box, automatic Retention Policy
    • 1
      Offers Enterprise version
    • 1
      Free Open Source version

    Sign up to add or upvote prosMake informed product decisions

    Cons of Beringei
    Cons of InfluxDB
      Be the first to leave a con
      • 4
        Instability
      • 1
        HA or Clustering is only in paid version

      Sign up to add or upvote consMake informed product decisions

      What is Beringei?

      Beringei is a high performance time series storage engine. Time series are commonly used as a representation of statistics, gauges, and counters for monitoring performance and health of a system.

      What is InfluxDB?

      InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Beringei?
      What companies use InfluxDB?
      See which teams inside your own company are using Beringei or InfluxDB.
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      What tools integrate with Beringei?
      What tools integrate with InfluxDB?
        No integrations found

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        What are some alternatives to Beringei and InfluxDB?
        Redis
        Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
        Hazelcast
        With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
        Aerospike
        Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.
        SAP HANA
        It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.
        Apache Ignite
        It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale
        See all alternatives