StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. MapDB vs Tile38

MapDB vs Tile38

OverviewComparisonAlternatives

Overview

Tile38
Tile38
Stacks17
Followers41
Votes0
GitHub Stars9.5K
Forks597
MapDB
MapDB
Stacks8
Followers49
Votes0

MapDB vs Tile38: What are the differences?

  1. Data Storage: MapDB is a database that stores data in disk-based memory mapped files, allowing for efficient reading and writing of large amounts of data. On the other hand, Tile38 is a geospatial database that is specifically designed for high-performance location-based queries and operations.

  2. Spatial Indexing: Tile38 uses specialized algorithms and data structures for indexing geospatial data, making it optimized for spatial queries such as finding points within a radius or performing geometric operations. In contrast, MapDB is not designed for spatial indexing and querying, as its focus is on general-purpose data storage and retrieval.

  3. Real-time Geofencing: Tile38 provides built-in support for geofencing, allowing users to define virtual perimeters and receive real-time notifications based on the movement of objects within these boundaries. MapDB does not have native support for geofencing functionalities, as it is not optimized for real-time spatial operations.

  4. GeoJSON Support: Tile38 natively supports GeoJSON as a data format, making it easy to ingest and query geospatial data in a standardized format. On the other hand, MapDB does not have built-in support for GeoJSON, requiring users to implement their own data serialization and deserialization mechanisms.

  5. Clustering and Replication: Tile38 offers clustering and replication features to distribute geospatial data across multiple nodes for scalability and fault tolerance. In contrast, MapDB focuses on single-node data storage and retrieval, lacking built-in support for distributed computing and replication.

  6. Community and Ecosystem: Tile38 has a vibrant community and ecosystem around geospatial data processing, with various plugins and integrations available for extending its functionalities. MapDB, while actively maintained, has a smaller community focused primarily on disk-based data storage capabilities.

In Summary, MapDB and Tile38 differ in terms of data storage mechanisms, spatial indexing capabilities, real-time geofencing support, GeoJSON compatibility, clustering and replication features, and community ecosystems.

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)
or
Manual

Detailed Comparison

Tile38
Tile38
MapDB
MapDB

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.

MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.

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
Concurrency; Writing database; Code duplication and not invented here; Does not integrate with default tools and defacto standards; Did not follow test driven development; Not enough performance testing. ...
Statistics
GitHub Stars
9.5K
GitHub Stars
-
GitHub Forks
597
GitHub Forks
-
Stacks
17
Stacks
8
Followers
41
Followers
49
Votes
0
Votes
0
Integrations
Erlang
Erlang
PHP
PHP
C++
C++
Clojure
Clojure
Swift
Swift
Windows
Windows
Node.js
Node.js
Linux
Linux
Java
Java
Python
Python
Presto
Presto
Clever Cloud
Clever Cloud
SignalFx
SignalFx
Datadog
Datadog
OpsDash
OpsDash
Actionhero
Actionhero

What are some alternatives to Tile38, MapDB?

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase