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. DataScript vs Tile38

DataScript vs Tile38

OverviewComparisonAlternatives

Overview

Tile38
Tile38
Stacks17
Followers41
Votes0
GitHub Stars9.5K
Forks597
DataScript
DataScript
Stacks3
Followers7
Votes0
GitHub Stars5.7K
Forks313

Tile38 vs DataScript: What are the differences?

Developers describe Tile38 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. On the other hand, DataScript is detailed as "Immutable database and Datalog query engine for Clojure, ClojureScript and JS". 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..

Tile38 and DataScript belong to "In-Memory Databases" category of the tech stack.

Some of the features offered by Tile38 are:

  • 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

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

  • Database as a value
  • Triple store model
  • EAVT, AEVT and AVET indexes

Tile38 is an open source tool with 6.93K GitHub stars and 415 GitHub forks. Here's a link to Tile38's open source repository on GitHub.

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
DataScript
DataScript

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.

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.

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
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
9.5K
GitHub Stars
5.7K
GitHub Forks
597
GitHub Forks
313
Stacks
17
Stacks
3
Followers
41
Followers
7
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
JavaScript
JavaScript
Clojure
Clojure
ClojureScript
ClojureScript

What are some alternatives to Tile38, 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.

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.

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.

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