Parse.ly vs SurrealDB
Overview
🔥 Trending in Platform as a Service on StackShare
A semantic personal publishing platform with a focus on aesthetics, web standards, and usability.
Detailed Comparison
It is a technology company that provides web analytics and content optimization software for online publishers. | SurrealDB is a newsql multi-model database, that operates in schemafull or schemaless mode, with tables, inter-document record links (no JOINs), and graph database modelling functionality. |
Find Social Influencers with Surfaced Tweets;
Add Some Context to Your Metrics;
Filter by Publish Date to See The Impact of Your Most Recent Content;
Stay in The Data Loop with Exports and Scheduled Reports | Database server, or embedded library;
Multi-row, multi-table ACID transactions;
Single-node, or highly-scalable distributed mode;
Record links and directed typed graph connections;
Store structured and unstructured data;
Incrementally computed views for pre-computed advanced analytics;
Realtime-api layer, and security permissions built in;
Store and model data in any way with tables, documents, and graph;
Simple schema definition for frontend and backend development;
Connect and query directly from web-browsers and client devices;
Use embedded JavaScript functions for custom advanced functionality |
Statistics | |
GitHub Stars - | GitHub Stars 30.3K |
GitHub Forks - | GitHub Forks 1.1K |
Stacks 7 | Stacks 43 |
Followers 17 | Followers 46 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Parse.ly, SurrealDB?
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 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
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 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.
Firebase
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
Socket.IO
It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.
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 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
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 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.
