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

Aerospike vs DataScript

OverviewComparisonAlternatives

Overview

Aerospike
Aerospike
Stacks200
Followers288
Votes48
GitHub Stars1.3K
Forks196
DataScript
DataScript
Stacks3
Followers7
Votes0
GitHub Stars5.7K
Forks313

Aerospike vs DataScript: What are the differences?

Introduction:
Aerospike and DataScript are two database management systems used for different purposes. Here, we will discuss key differences between the two.

1. **Data Model**: Aerospike is a NoSQL database system that follows a key-value data model, where each record consists of a key and a value. On the other hand, DataScript is an in-memory database that follows an entity-attribute-value data model, allowing more flexibility in data representation.

2. **Use Cases**: Aerospike is often used for high-performance applications that require low-latency operations and complex querying capabilities. In contrast, DataScript is commonly used for front-end development, providing a client-side database for managing local data in web applications.

3. **Consistency Model**: Aerospike offers strong consistency, ensuring that all nodes in the cluster have consistent data at all times. DataScript, on the other hand, provides eventual consistency by allowing temporary inconsistencies between replicas that are eventually resolved.

4. **Storage**: Aerospike stores data on disk, providing persistence and durability, making it suitable for long-term storage needs. DataScript, being an in-memory database, stores data in the browser's memory, which is volatile and suitable for caching or temporary data storage.

5. **Scalability**: Aerospike is designed for seamless horizontal scalability, allowing users to add more nodes to the cluster easily. DataScript is primarily used in single-client applications and may not be as well-suited for large-scale distributed systems.

6. **Query Language**: Aerospike uses a SQL-like query language called Aerospike Query Language (AQL) for querying data. In contrast, DataScript relies on Clojure functions and transducers for querying and manipulating data within the browser.

In Summary, Aerospike and DataScript differ in their data models, use cases, consistency models, storage mechanisms, scalability, and query languages.

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Detailed Comparison

Aerospike
Aerospike
DataScript
DataScript

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 an immutable in-memory database and Datalog query engine in Clojure and ClojureScript. It is meant to run inside the browser. It is cheap to create, quick to query and ephemeral. You create a database on page load, put some data in it, track changes, do queries and forget about it when the user closes the page.

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.
Database as a value; Triple store model; EAVT, AEVT and AVET indexes; Multi-valued attributes; Implicit joins; Query over DB or regular collections
Statistics
GitHub Stars
1.3K
GitHub Stars
5.7K
GitHub Forks
196
GitHub Forks
313
Stacks
200
Stacks
3
Followers
288
Followers
7
Votes
48
Votes
0
Pros & Cons
Pros
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Performance better than Redis
No community feedback yet
Integrations
No integrations available
JavaScript
JavaScript
Clojure
Clojure
ClojureScript
ClojureScript

What are some alternatives to Aerospike, DataScript?

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.

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.

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