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

Aerospike vs KeyDB

OverviewComparisonAlternatives

Overview

Aerospike
Aerospike
Stacks200
Followers288
Votes48
GitHub Stars1.3K
Forks196
KeyDB
KeyDB
Stacks37
Followers62
Votes5

Aerospike vs KeyDB: What are the differences?

Introduction

Aerospike and KeyDB are both database management systems, designed to handle large-scale data storage and retrieval. While they share some similarities, there are also key differences that set them apart.

  1. Data Model: Aerospike uses a key-value data model, where data is stored and accessed using a unique key. On the other hand, KeyDB supports multiple data models including key-value, document, graph, and time series data, providing more flexibility in data representation.

  2. Architecture: Aerospike is a distributed NoSQL database, designed for high-performance and low-latency operations. It utilizes a single-threaded, shared-nothing architecture, where each node operates independently. In contrast, KeyDB is an in-memory database that utilizes a multi-threaded architecture to achieve better performance and concurrency.

  3. Scalability: Aerospike supports horizontal scalability through automatic data partitioning and distribution across multiple nodes. It allows for seamless scaling by adding more nodes to the cluster. KeyDB, on the other hand, is primarily focused on in-memory caching and does not provide built-in horizontal scalability features like data partitioning.

  4. Consistency Model: Aerospike offers strong consistency guarantees by default, ensuring that all nodes in the cluster have the most up-to-date data. KeyDB, however, sacrifices strict consistency in favor of better performance, providing eventual consistency instead. This means that there may be a temporary lag between updates propagating across the entire cluster.

  5. Durability: Aerospike provides configurable data durability options, allowing users to choose between different levels of durability and persistency. It supports synchronous and asynchronous replication for data redundancy. KeyDB, on the other hand, focuses more on in-memory caching and does not provide built-in durability features, making it suitable for use cases where durability is not a strict requirement.

  6. Ecosystem and Community Support: Aerospike has a larger and more established community, with extensive documentation, tutorials, and community-driven resources available. It also has integrations with popular frameworks and tools. KeyDB, being a relatively new database, has a smaller community and may have limited support and resources compared to Aerospike.

In summary, Aerospike and KeyDB differ in their data models, architecture, scalability options, consistency models, durability features, and ecosystem/community support.

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Detailed Comparison

Aerospike
Aerospike
KeyDB
KeyDB

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.

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.

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.
Active Replication; FLASH storage support; direct backup to AWS S3; MultiMaster; Multithreaded
Statistics
GitHub Stars
1.3K
GitHub Stars
-
GitHub Forks
196
GitHub Forks
-
Stacks
200
Stacks
37
Followers
288
Followers
62
Votes
48
Votes
5
Pros & Cons
Pros
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Performance better than Redis
Pros
  • 3
    Performance
  • 2
    Active Replication

What are some alternatives to Aerospike, KeyDB?

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.

Tarantool

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

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.

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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