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

KeyDB vs Tile38

OverviewComparisonAlternatives

Overview

Tile38
Tile38
Stacks17
Followers41
Votes0
GitHub Stars9.5K
Forks597
KeyDB
KeyDB
Stacks37
Followers62
Votes5

KeyDB vs Tile38: What are the differences?

Developers describe KeyDB as "Open source lighting fast key-value database with advanced features". 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. On the other hand, Tile38 is detailed as "High-performance database for geospatial and realtime geofencing applications". 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.

KeyDB and Tile38 can be categorized as "In-Memory Databases" tools.

Some of the features offered by KeyDB are:

  • Active Replication
  • FLASH storage support
  • direct backup to AWS S3

On the other hand, Tile38 provides the following key features:

  • 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

KeyDB and Tile38 are both open source tools. Tile38 with 6.49K GitHub stars and 363 forks on GitHub appears to be more popular than KeyDB with 3.07K GitHub stars and 174 GitHub forks.

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Detailed Comparison

Tile38
Tile38
KeyDB
KeyDB

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.

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.

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
Active Replication; FLASH storage support; direct backup to AWS S3; MultiMaster; Multithreaded
Statistics
GitHub Stars
9.5K
GitHub Stars
-
GitHub Forks
597
GitHub Forks
-
Stacks
17
Stacks
37
Followers
41
Followers
62
Votes
0
Votes
5
Pros & Cons
No community feedback yet
Pros
  • 3
    Performance
  • 2
    Active Replication
Integrations
Erlang
Erlang
PHP
PHP
C++
C++
Clojure
Clojure
Swift
Swift
Windows
Windows
Node.js
Node.js
Linux
Linux
Java
Java
Python
Python
No integrations available

What are some alternatives to Tile38, 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.

Aerospike

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

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.

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