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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. Aerospike vs Tarantool

Aerospike vs Tarantool

OverviewComparisonAlternatives

Overview

Aerospike
Aerospike
Stacks200
Followers288
Votes48
GitHub Stars1.3K
Forks196
Tarantool
Tarantool
Stacks32
Followers45
Votes9
GitHub Stars3.6K
Forks394

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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Detailed Comparison

Aerospike
Aerospike
Tarantool
Tarantool

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.

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

99% of reads/writes complete in under 1 millisecond.;Predictable low latency at high throughput – second to none. Read the YCSB Benchmark.;The secret sauce? A thousand things done right. Server code in ‘C’ (not Java or Erlang) precisely tuned to avoid context switching and memory copies. Highly parallelized multi-threaded, multi-core, multi-cpu, multi-SSD execution.;Indexes are always stored in RAM. Pure RAM mode is backed by spinning disks. In hybrid mode, individual tables are stored in either RAM or flash.
Fast; Open source; Easy to use;Multiple index types: HASH, TREE, RTREE, BITSET;Asynchronous master-master replication;Authentication and access control;The database is just a C extension to the application server and can be turned off
Statistics
GitHub Stars
1.3K
GitHub Stars
3.6K
GitHub Forks
196
GitHub Forks
394
Stacks
200
Stacks
32
Followers
288
Followers
45
Votes
48
Votes
9
Pros & Cons
Pros
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Scale
Pros
  • 3
    Performance
  • 2
    Super fast
  • 2
    Open source
  • 1
    In-memory cache
  • 1
    Advanced key-value cache
Integrations
No integrations available
Node.js
Node.js
Perl
Perl
Java
Java
Python
Python
Golang
Golang
NGINX
NGINX
C#
C#

What are some alternatives to Aerospike, Tarantool?

Redis

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.

Hazelcast

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.

MemSQL

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

SAP HANA

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.

VoltDB

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Azure Redis Cache

Azure Redis Cache

It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

KeyDB

KeyDB

KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

LokiJS

LokiJS

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

BuntDB

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.

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