Azure Redis Cache vs Tile38

Overview

Azure Redis Cache

Stacks58

Followers124

Votes7

Tile38

Stacks17

Followers41

Votes0

GitHub Stars9.5K

Forks597

Azure Redis Cache vs Tile38: What are the differences?

Scalability: Azure Redis Cache is a fully managed, in-memory data store and caching service provided by Azure, designed to be highly scalable to handle large workloads efficiently. On the other hand, Tile38 is an open-source, in-memory geolocation data store and real-time geofencing server that focuses on spatial data management, making it highly scalable for location-based services.
Data Type: Azure Redis Cache primarily focuses on caching key-value pairs and supporting various data types such as strings, hashes, lists, sets, and sorted sets. In contrast, Tile38 specializes in handling geospatial data structures such as points, bounding boxes, and polygons, enabling advanced geospatial queries and operations.
Use Cases: Azure Redis Cache is commonly used for speeding up the performance of applications by caching frequently accessed data, improving response times, and reducing database load. On the other hand, Tile38 is specifically designed for location-based applications, enabling real-time geofencing, proximity monitoring, and spatial queries.
Persistence: Azure Redis Cache provides persistence options such as RDB snapshots and AOF logs to persist data to disk for durability and disaster recovery. In comparison, Tile38 supports persistence mechanisms like append-only files (AOF) for durability, ensuring data integrity in case of system failures.
Community Support: Azure Redis Cache is backed by Microsoft Azure, offering enterprise-level support, documentation, and integration with other Azure services. Tile38, being an open-source project, relies on community support, contributions, and forums for assistance and updates.
Pricing Model: Azure Redis Cache follows a pay-as-you-go pricing model based on usage metrics such as cache size, data transfer, and operations. On the contrary, Tile38 is free to use and distribute under the Apache 2.0 license, making it a cost-effective solution for geospatial data management.

In Summary, Azure Redis Cache and Tile38 differ in scalability, data type support, use cases, persistence mechanisms, community support, and pricing model.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Azure Redis Cache	Tile38
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.	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.
Enterprise-grade security; Flexible scaling; Improve application throughput and latency; Speed up applications with a distributed cache	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 -	GitHub Stars 9.5K
GitHub Forks -	GitHub Forks 597
Stacks 58	Stacks 17
Followers 124	Followers 41
Votes 7	Votes 0
Pros & Cons
Pros 4 Cache-cluster 3 Redis	No community feedback yet
Integrations
Spring Boot Java	Erlang PHP C++ Clojure Swift Windows Node.js Linux Java Python

What are some alternatives to Azure Redis Cache, Tile38?

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

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.

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.

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

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

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 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

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

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 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.

Related Comparisons

Azure Redis Cache vs Tile38: What are the differences?

Scalability: Azure Redis Cache is a fully managed, in-memory data store and caching service provided by Azure, designed to be highly scalable to handle large workloads efficiently. On the other hand, Tile38 is an open-source, in-memory geolocation data store and real-time geofencing server that focuses on spatial data management, making it highly scalable for location-based services.
Data Type: Azure Redis Cache primarily focuses on caching key-value pairs and supporting various data types such as strings, hashes, lists, sets, and sorted sets. In contrast, Tile38 specializes in handling geospatial data structures such as points, bounding boxes, and polygons, enabling advanced geospatial queries and operations.
Use Cases: Azure Redis Cache is commonly used for speeding up the performance of applications by caching frequently accessed data, improving response times, and reducing database load. On the other hand, Tile38 is specifically designed for location-based applications, enabling real-time geofencing, proximity monitoring, and spatial queries.
Persistence: Azure Redis Cache provides persistence options such as RDB snapshots and AOF logs to persist data to disk for durability and disaster recovery. In comparison, Tile38 supports persistence mechanisms like append-only files (AOF) for durability, ensuring data integrity in case of system failures.
Community Support: Azure Redis Cache is backed by Microsoft Azure, offering enterprise-level support, documentation, and integration with other Azure services. Tile38, being an open-source project, relies on community support, contributions, and forums for assistance and updates.
Pricing Model: Azure Redis Cache follows a pay-as-you-go pricing model based on usage metrics such as cache size, data transfer, and operations. On the contrary, Tile38 is free to use and distribute under the Apache 2.0 license, making it a cost-effective solution for geospatial data management.

In Summary, Azure Redis Cache and Tile38 differ in scalability, data type support, use cases, persistence mechanisms, community support, and pricing model.

Azure Redis Cache vs Tile38

Overview