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Aerospike vs Tarantool: What are the differences?
**Introduction:**
Aerospike and Tarantool are two popular databases known for their speed and performance. While both offer high-performance solutions, there are key differences that set them apart.
**1. Data Model:** Aerospike is a NoSQL database that follows a key-value data model, making it suitable for real-time applications and large-scale distributed systems. In contrast, Tarantool combines a key-value store with an SQL database model, providing more flexibility for different types of data structures and query options.
**2. Distribution:** Aerospike is designed for horizontal scalability, allowing users to easily add nodes to expand storage capacity and improve performance. Tarantool, on the other hand, primarily focuses on single-server performance and does not offer built-in support for automatic sharding and distributed operations.
**3. Consistency Model:** Aerospike offers tunable consistency levels, ranging from eventual consistency to strong consistency, allowing users to choose the level that best suits their application requirements. In comparison, Tarantool primarily provides eventual consistency, with limited support for stronger consistency guarantees.
**4. Storage Engine:** Aerospike uses a proprietary storage engine optimized for high-throughput and low-latency operations, making it well-suited for write-heavy workloads. Tarantool utilizes a storage engine based on the Log-Structured Merge Tree (LSM), offering good performance for both read and write operations.
**5. Query Language:** Aerospike supports a SQL-like query interface called AQL (Aerospike Query Language), making it easier for users familiar with SQL to interact with the database. Tarantool, on the other hand, uses Lua scripting for queries and stored procedures, providing more flexibility but requiring additional learning curve for users.
**6. Community and Ecosystem:** Aerospike has a larger community and well-established ecosystem with support for various programming languages and integrations with popular tools and frameworks. In comparison, Tarantool has a smaller community but offers built-in support for Lua scripting that can be leveraged for custom applications and extensions.
In Summary, Aerospike and Tarantool differ in their data models, distribution capabilities, consistency models, storage engines, query languages, and community ecosystems, making them suitable for different use cases based on specific requirements.
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Learn MorePros of Aerospike
Pros of Tarantool
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 Tarantool
- Performance3
- Super fast2
- Open source2
- Advanced key-value cache1
- In-memory cache1
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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 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
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What companies use Aerospike?
What companies use Tarantool?
What companies use Aerospike?
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What tools integrate with Aerospike?
What tools integrate with Tarantool?
What tools integrate with Aerospike?
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What are some alternatives to Aerospike and Tarantool?
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.
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).
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.