Altibase vs Redis

Overview

Redis

Stacks61.9K

Followers46.5K

Votes3.9K

GitHub Stars42

Forks6

Altibase

Stacks11

Followers19

Votes0

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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CLI (Node.js)

Manual

Detailed Comparison

Redis	Altibase
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.	It is an open source enterprise grade, high performance and relational DBMS. Highly scalable with its sharding technology.
-	High performance; Enterprise Grade; Relational DBMS; Low Cost
Statistics
GitHub Stars 42	GitHub Stars -
GitHub Forks 6	GitHub Forks -
Stacks 61.9K	Stacks 11
Followers 46.5K	Followers 19
Votes 3.9K	Votes 0
Pros & Cons
Pros 888 Performance 542 Super fast 514 Ease of use 444 In-memory cache 324 Advanced key-value cache Cons 15 Cannot query objects directly 3 No secondary indexes for non-numeric data types 1 No WAL	No community feedback yet
Integrations
No integrations available	Nette Slick Vertica Backand Redash Knex.js QlikView

What are some alternatives to Redis, Altibase?

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.

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.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

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.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

Related Comparisons

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.

Altibase vs Redis

Overview