What is Beringei and what are its top alternatives?
Top Alternatives to Beringei
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. ...
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. ...
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 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 ...
MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines. ...
NCache is an open source distributed cache for .NET & .NET Core (Apache 2.0) by Alachisoft. NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips. ...
Beringei alternatives & related posts
- Time-series data analysis54
- Easy setup, no dependencies30
- Fast, scalable & open source24
- Open source21
- Real-time analytics19
- Continuous Query support6
- Easy Query Language5
- HTTP API4
- Out-of-the-box, automatic Retention Policy4
- Offers Enterprise version1
- Free Open Source version1
- HA or Clustering is only in paid version1
related InfluxDB posts
Hi everyone. I'm trying to create my personal syslog monitoring.
To get the logs, I have uncertainty to choose the way: 1.1 Use Logstash like a TCP server. 1.2 Implement a Go TCP server.
To store and plot data. 2.1 Use Elasticsearch tools. 2.2 Use InfluxDB and Grafana.
I would like to know... Which is a cheaper and scalable solution?
Or even if there is a better way to do it.
- Super fast538
- Ease of use510
- In-memory cache441
- Advanced key-value cache321
- Open source190
- Easy to deploy179
- High Availability39
- Data Structures34
- Very Scalable31
- Great community20
- "NoSQL" key-value data store17
- Sorted Sets10
- BSD licensed8
- Integrates super easy with Sidekiq for Rails background7
- Async replication7
- Keys with a limited time-to-live6
- Open Source6
- Lua scripting5
- Awesomeness for Free!4
- Runs server side LUA3
- outstanding performance3
- LRU eviction of keys3
- Written in ANSI C3
- Feature Rich3
- Performance & ease of use2
- Data structure server2
- Channels concept1
- Temporarily kept on disk1
- Dont save data if no subscribers are found1
- Automatic failover1
- Easy to use1
- Existing Laravel Integration1
- Object [key/value] size each 500 MB1
- Cannot query objects directly14
- No secondary indexes for non-numeric data types2
- No WAL1
related Redis posts
We use MongoDB as our primary #datastore. Mongo's approach to replica sets enables some fantastic patterns for operations like maintenance, backups, and #ETL.
As we pull #microservices from our #monolith, we are taking the opportunity to build them with their own datastores using PostgreSQL. We also use Redis to cache data we’d never store permanently, and to rate-limit our requests to partners’ APIs (like GitHub).
When we’re dealing with large blobs of immutable data (logs, artifacts, and test results), we store them in Amazon S3. We handle any side-effects of S3’s eventual consistency model within our own code. This ensures that we deal with user requests correctly while writes are in process.
I'm working as one of the engineering leads in RunaHR. As our platform is a Saas, we thought It'd be good to have an API (We chose Ruby and Rails for this) and a SPA (built with React and Redux ) connected. We started the SPA with Create React App since It's pretty easy to start.
We use Jest as the testing framework and react-testing-library to test React components. In Rails we make tests using RSpec.
Our main database is PostgreSQL, but we also use MongoDB to store some type of data. We started to use Redis for cache and other time sensitive operations.
We have a couple of extra projects: One is an Employee app built with React Native and the other is an internal back office dashboard built with Next.js for the client and Python in the backend side.
- High Availibility11
- Distributed Locking6
- Distributed compute5
- Load balancing4
- Sql query support in cluster wide3
- Map-reduce functionality3
- Written in java. runs on jvm3
- Multiple client language support2
- Rest interface2
- Optimis locking for map2
- Super Fast1
- Admin Interface (Management Center)1
- Better Documentation1
- Easy to use1
- License needed for SSL3
related Hazelcast posts
- Ram and/or ssd persistence15
- Easy clustering support12
- Easy setup5
- Performance better than Redis3
- Petabyte Scale3
- Ease of use2
related Aerospike posts
related SAP HANA posts
Hi. We are planning to develop web, desktop, and mobile app for procurement, logistics, and contracts. Procure to Pay and Source to pay, spend management, supplier management, catalog management. ( similar to SAP Ariba, gap.com, coupa.com, ivalua.com vroozi.com, procurify.com
We got stuck when deciding which technology stack is good for the future. We look forward to your kind guidance that will help us.
We want to integrate with multiple databases with seamless bidirectional integration. What APIs and middleware available are best to achieve this? SAP HANA, Oracle, MySQL, MongoDB...
ASP.NET / Node.js / Laravel. ......?
Please guide us
- Written in java. runs on jvm4
- Load balancing3
- Multiple client language support3
- Sql query support in cluster wide3
- Rest interface3
- High Avaliability3
- Better Documentation2
- Easy to use2
- Distributed compute1
- Distributed Locking1
related Apache Ignite posts
- Ultra fast2
- Availability Group1
- Mixed workload1
- Unlimited Storage Database1