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BuntDB vs Redis: What are the differences?
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1. Data Structure:
- BuntDB:
- BuntDB is a simple key-value store that persists data to disk.
- It uses a B+ tree data structure to organize and retrieve data efficiently.
- Redis:
- Redis is an in-memory data structure store that can be used as a database, cache, and message broker.
- It supports various data structures such as strings, hashes, lists, sets, and sorted sets.
- BuntDB:
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2. Persistence:
- BuntDB:
- BuntDB persists data to a disk-based file, allowing data to be retained even after restarting the application.
- It writes data to disk asynchronously, providing better performance.
- Redis:
- Redis primarily stores data in memory for performance reasons.
- It offers various persistence options such as snapshotting and append-only file (AOF) for data durability.
- BuntDB:
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3. Scalability:
- BuntDB:
- BuntDB is designed to work on a single machine and does not have built-in support for distributed systems.
- It is suitable for applications that require a lightweight and easy-to-use data store.
- Redis:
- Redis is built to be highly scalable and can be used in a distributed environment.
- It supports replication and clustering to enable high availability and horizontal scaling.
- BuntDB:
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4. Querying:
- BuntDB:
- BuntDB provides basic querying capabilities, allowing users to retrieve data based on the key.
- It does not offer advanced querying features like indexing or secondary indexes.
- Redis:
- Redis supports a rich set of commands for querying data, including pattern matching, range queries, and set operations.
- It also supports indexing and secondary indexes, enabling more complex queries.
- BuntDB:
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5. Data Types:
- BuntDB:
- BuntDB supports only key-value pairs and does not have built-in support for different data types.
- Users need to handle data serialization and deserialization manually.
- Redis:
- Redis supports various data types such as strings, hashes, lists, sets, and sorted sets.
- Each data type has its own set of commands and operations.
- BuntDB:
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6. Performance:
- BuntDB:
- BuntDB is optimized for high-performance read and write operations on a single machine.
- It can achieve very low latency and high throughput for in-memory operations.
- Redis:
- Redis is known for its exceptional performance, especially for in-memory operations.
- Its efficient data structures and in-memory processing make it suitable for applications requiring high-performance data manipulation.
- BuntDB:
In Summary, BuntDB is a simple key-value store with disk persistence and limited querying capabilities, while Redis is a versatile in-memory data structure store designed for scalability, advanced querying, and various data types with exceptional performance.
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Learn MorePros of BuntDB
Pros of Redis
Pros of BuntDB
- Fast1
Pros of Redis
- Performance886
- Super fast542
- Ease of use513
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable164
- Free155
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Great community22
- Pub/Sub22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- NoSQL10
- Lists10
- Async replication9
- BSD licensed9
- Bitmaps8
- Integrates super easy with Sidekiq for Rails background8
- Keys with a limited time-to-live7
- Open Source7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Transactions4
- Outstanding performance4
- Runs server side LUA4
- LRU eviction of keys4
- Feature Rich4
- Written in ANSI C4
- Networked4
- Data structure server3
- Performance & ease of use3
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Temporarily kept on disk2
- Scalable2
- Existing Laravel Integration2
- Channels concept2
- Object [key/value] size each 500 MB2
- Simple2
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Cons of BuntDB
Cons of Redis
Cons of BuntDB
Be the first to leave a con
Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1
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- No public GitHub repository available -
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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What companies use BuntDB?
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What companies use BuntDB?
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What tools integrate with BuntDB?
What tools integrate with Redis?
What tools integrate with BuntDB?
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What are some alternatives to BuntDB and Redis?
Badger
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LevelDB
It is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. It has been ported to a variety of Unix-based systems, macOS, Windows, and Android.
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.