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Learn MorePros of Aerospike
Pros of BuntDB
Pros of Redis
Pros of Aerospike
- Ram and/or ssd persistence16
- Easy clustering support12
- Easy setup5
- Acid4
- Petabyte Scale3
- Scale3
- Performance better than Redis3
- Ease of use2
Pros of BuntDB
- Fast1
Pros of Redis
- Performance887
- Super fast542
- Ease of use514
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable165
- Free156
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Pub/Sub23
- Great community22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- Lists10
- NoSQL10
- Async replication9
- BSD licensed9
- Integrates super easy with Sidekiq for Rails background8
- Bitmaps8
- Open Source7
- Keys with a limited time-to-live7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Runs server side LUA4
- Transactions4
- Networked4
- Outstanding performance4
- Feature Rich4
- Written in ANSI C4
- LRU eviction of keys4
- Data structure server3
- Performance & ease of use3
- Temporarily kept on disk2
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Scalable2
- Channels concept2
- Object [key/value] size each 500 MB2
- Existing Laravel Integration2
- Simple2
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Cons of Aerospike
Cons of BuntDB
Cons of Redis
Cons of Aerospike
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Cons of BuntDB
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Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1
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What is 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.
What is BuntDB?
BuntDB is a low-level, in-memory, key/value store in pure Go. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer. It supports custom indexes and geospatial data. It's ideal for projects that need a dependable database and favor speed over data size.
What is Redis?
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.
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Jobs that mention Aerospike, BuntDB, and Redis as a desired skillset
What companies use Aerospike?
What companies use BuntDB?
What companies use Redis?
What companies use Aerospike?
What companies use BuntDB?
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What tools integrate with Aerospike?
What tools integrate with BuntDB?
What tools integrate with Redis?
What tools integrate with Aerospike?
What tools integrate with BuntDB?
No integrations found
What tools integrate with Redis?
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What are some alternatives to Aerospike, BuntDB, and Redis?
Riak
Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Tarantool
It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.