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  5. CrateDB vs GoSquared

CrateDB vs GoSquared

OverviewComparisonAlternatives

Overview

GoSquared
GoSquared
Stacks28
Followers13
Votes14
CrateDB
CrateDB
Stacks1
Followers1
Votes1

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CLI (Node.js)
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Detailed Comparison

GoSquared
GoSquared
CrateDB
CrateDB

The GoSquared dashboard provides you with an overview of all the most important metrics behind your site’s traffic. From source information to visitor count, and from a dynamic timeline to engagement metrics, the dashboard is simple-to-read and accessed in one.

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.

Instant feedback;Individual visitor tracking;Social analytics;Top content right now;Today vs. yesterday;Secure stats;Chat with your visitors;The most versatile API around;Traffic sources right now;Export what you want, when you want (JSON or CSV);Safe in the cloud
database, analytics, AI database
Statistics
Stacks
28
Stacks
1
Followers
13
Followers
1
Votes
14
Votes
1
Pros & Cons
Pros
  • 8
    Real-time Analytics Dashboard
  • 3
    Customer analytics
  • 2
    Understanding users
  • 1
    E-Commerce Analytics
No community feedback yet
Integrations
Twilio SendGrid
Twilio SendGrid
Mailgun
Mailgun
Zendesk
Zendesk
WordPress
WordPress
Shopify
Shopify
Slack
Slack
CloudFlare
CloudFlare
Segment
Segment
Mailchimp
Mailchimp
Mandrill
Mandrill
No integrations available

What are some alternatives to GoSquared, CrateDB?

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.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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