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Altibase vs Redis: What are the differences?
- Data Model: Altibase is a hybrid database that supports both in-memory and on-disk storage, while Redis is an in-memory database that persists data to disk. This difference affects how each database performs in terms of speed and scalability.
- Language Support: Altibase supports SQL as its primary querying language, making it easier for users to interact with the database using familiar syntax. On the other hand, Redis uses its own set of commands that might require a learning curve for users not familiar with it.
- Data Structures: Redis is known for its rich set of data structures such as strings, lists, sets, and sorted sets, which makes it versatile for various use cases. Altibase, although it uses SQL, may not offer the same variety of data structures out of the box.
- High Availability: Altibase provides high availability features such as replication and clustering for ensuring data reliability and fault tolerance. Redis, while it has features like replication, may require additional configurations or third-party tools for achieving the same level of high availability.
- Scalability: Altibase is designed to handle massive amounts of data and concurrent users, making it suitable for enterprise-level applications that require scalability. Redis, while scalable, may require sharding to achieve similar levels of performance when handling large datasets.
In Summary, the key differences between Altibase and Redis lie in their data model, language support, data structures, high availability features, and scalability capabilities.
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Learn MorePros of Altibase
Pros of Redis
Pros of Altibase
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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 Altibase
Cons of Redis
Cons of Altibase
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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 Altibase?
It is an open source enterprise grade, high performance and relational DBMS. Highly scalable with its sharding technology.
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 Altibase?
What companies use Redis?
What companies use Altibase?
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What tools integrate with Altibase?
What tools integrate with Redis?
What tools integrate with Redis?
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What are some alternatives to Altibase and Redis?
Oracle
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
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.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.