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  5. CrateDB vs GameAnalytics

CrateDB vs GameAnalytics

OverviewComparisonAlternatives

Overview

GameAnalytics
GameAnalytics
Stacks13
Followers19
Votes0
CrateDB
CrateDB
Stacks1
Followers1
Votes1

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CLI (Node.js)
or
Manual

Detailed Comparison

GameAnalytics
GameAnalytics
CrateDB
CrateDB

It is a free and powerful analytics tool for game developers, that helps you understand player behavior and build better games.

CrateDB is the real time analytics database that handles any data type at massive scale with simple SQL. Ingest high volume data, query instantly, and power AI and operational workloads faster and more efficiently than traditional databases.

Player Progression; Business events (real money transactions by item type and item id) with purchase validation; In-game resources; Error events; Custom dimensions; Design events (for tracking any custom event you can think of); Cohorts and Funnels tools; Explore tool – that lets you visualise any of the events and metrics against each other to be able to spot any relevant trends or correlations; Raw data export
database, analytics, AI database
Statistics
Stacks
13
Stacks
1
Followers
19
Followers
1
Votes
0
Votes
1
Integrations
NativeScript
NativeScript
iOS
iOS
C#
C#
Xamarin
Xamarin
JavaScript
JavaScript
Apache Cordova
Apache Cordova
Android Studio
Android Studio
C++
C++
CocoaLumberjack
CocoaLumberjack
Unity
Unity
No integrations available

What are some alternatives to GameAnalytics, CrateDB?

Google Analytics

Google Analytics

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

Mixpanel

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

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