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

Tile38 vs XAP

OverviewComparisonAlternatives

Overview

Tile38
Tile38
Stacks17
Followers41
Votes0
GitHub Stars9.5K
Forks597
XAP
XAP
Stacks1
Followers2
Votes0

Tile38 vs XAP: 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, XAP is detailed as "The In-Memory computing solution to scale your applications". It provides an essential set of data store features, such as transactions, indexes, and query language (SQL-like queries). It also handles common functions such as messaging, event processing, data access, and transaction processing (ACID compliant) completely and exclusively in-memory.

Tile38 and XAP can be primarily classified as "In-Memory Databases" tools.

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, XAP provides the following key features:

  • In-memory data grid
  • Stream processing for mission-critical applications
  • Empowers event-driven microservices and distributed applications for real-time big data innovation

Tile38 is an open source tool with 6.62K GitHub stars and 380 GitHub forks. Here's a link to Tile38's open source repository on GitHub.

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Detailed Comparison

Tile38
Tile38
XAP
XAP

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 provides an essential set of data store features, such as transactions, indexes, and query language (SQL-like queries). It also handles common functions such as messaging, event processing, data access, and transaction processing (ACID compliant) completely and exclusively in-memory.

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
In-memory data grid; Stream processing for mission-critical applications; Empowers event-driven microservices and distributed applications for real-time big data innovation
Statistics
GitHub Stars
9.5K
GitHub Stars
-
GitHub Forks
597
GitHub Forks
-
Stacks
17
Stacks
1
Followers
41
Followers
2
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
Spring
Spring
Java
Java
.NET
.NET

What are some alternatives to Tile38, XAP?

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.

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