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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. Aerospike vs Tile38

Aerospike vs Tile38

OverviewComparisonAlternatives

Overview

Aerospike
Aerospike
Stacks200
Followers288
Votes48
GitHub Stars1.3K
Forks196
Tile38
Tile38
Stacks17
Followers41
Votes0
GitHub Stars9.5K
Forks597

Aerospike vs Tile38: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Aerospike and Tile38, two popular databases used for different purposes.

  1. Data Structure: Aerospike is a distributed NoSQL database that stores data in namespaces, sets, and records. It supports a flexible schema, allowing for a wide variety of data types. On the other hand, Tile38 is a geospatial database that organizes data in key-value pairs, specifically designed for location-based data and queries.

  2. Geospatial Capabilities: While Aerospike provides basic geospatial indexing and querying capabilities, Tile38 specializes in geospatial operations. Tile38 offers support for spatial indexing, geohashing, and advanced geospatial queries, making it an ideal choice for applications that heavily rely on geospatial data.

  3. Scalability and Distribution: Aerospike is well-known for its scalability and high-performance capabilities. It offers automatic clustering and replication, allowing for horizontal scaling across multiple nodes. Tile38, on the other hand, is designed to run on a single machine and does not offer built-in support for distributed setups.

  4. Query Languages: Aerospike uses its own query language called Aerospike Query Language (AQL). It provides a familiar SQL-like syntax for querying data in aerospike. Tile38, on the other hand, supports a lightweight and simple query language primarily focused on geospatial operations.

  5. Data Persistence: Aerospike offers data persistence by writing to the disk as well as in-memory caching for faster access. It provides various storage options, including solid-state drives (SSDs) and flash memory. Tile38, being a lightweight database, primarily focuses on in-memory storage. It does not offer built-in disk persistence for data reliability.

  6. Use Cases: Aerospike is widely used in various industries for real-time analytics, ad tech, fraud detection, and e-commerce applications, where high performance and scalability are crucial. Tile38, with its strong geospatial capabilities, finds applications in location-based services, geofencing, asset tracking, and geospatial analytics.

In Summary, Aerospike and Tile38 differ in terms of data structure, geospatial capabilities, scalability, query languages, data persistence, and use cases.

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Detailed Comparison

Aerospike
Aerospike
Tile38
Tile38

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 open source (MIT licensed), in-memory geolocation data store, spatial index, and realtime geofence. It supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON.

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.
Spatial index with search methods such as Nearby, Within, and Intersects; Realtime geofencing through webhooks or pub/sub channels; Object types of lat/lon, bbox, Geohash, GeoJSON, QuadKey, and XYZ tile; Support for lots of Clients Libraries written in many different languages; Variety of protocols, including http (curl), websockets, telnet, and the Redis RESP; Server responses are RESP or JSON; Full command line interface; Leader / follower replication; In-memory database that persists on disk
Statistics
GitHub Stars
1.3K
GitHub Stars
9.5K
GitHub Forks
196
GitHub Forks
597
Stacks
200
Stacks
17
Followers
288
Followers
41
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
Erlang
Erlang
PHP
PHP
C++
C++
Clojure
Clojure
Swift
Swift
Windows
Windows
Node.js
Node.js
Linux
Linux
Java
Java
Python
Python

What are some alternatives to Aerospike, Tile38?

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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