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  1. Stackups
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  4. Databases
  5. Cakebase vs Microsoft SQL Server

Cakebase vs Microsoft SQL Server

OverviewComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
Cakebase
Cakebase
Stacks1
Followers3
Votes0

Cakebase vs Microsoft SQL Server: What are the differences?

**Introduction:**
Cakebase and Microsoft SQL Server are two popular database management systems, each with its own set of features and capabilities.

**1. Data Types:** Cakebase primarily supports schema-less data while Microsoft SQL Server uses a predefined schema with structured data types. This difference allows Cakebase to store unstructured data efficiently, making it suitable for projects with evolving data models.

**2. Query Language:** Cakebase relies on a JSON-like query language, making it ideal for developers who are familiar with JavaScript Object Notation. On the other hand, Microsoft SQL Server utilizes SQL as its query language, providing a robust and standardized way to interact with the database.

**3. Scalability:** Cakebase is designed to be horizontally scalable, meaning it can distribute data across multiple nodes to handle increasing workloads. In contrast, although Microsoft SQL Server can be scaled vertically by adding more resources to a single server, it may not offer the same level of scalability as Cakebase in terms of handling a large volume of data.

**4. Cost:** Cakebase is typically more cost-effective for small to medium-sized businesses due to its open-source nature and lower hardware requirements. Microsoft SQL Server, on the other hand, may involve licensing fees and potentially higher hardware costs, making it more suitable for larger enterprises with specific requirements and budgets.

**5. Ecosystem:** Cakebase has a more limited ecosystem compared to Microsoft SQL Server, which has a vast community, extensive documentation, and a wide range of third-party tools and integrations. This makes Microsoft SQL Server a preferred choice for organizations that rely on comprehensive support and resources for their database needs.

**6. ACID Compliance:** While both Cakebase and Microsoft SQL Server are ACID-compliant databases, the approach to achieving ACID properties may differ. Cakebase, being a NoSQL database, may prioritize partition tolerance over strong consistency in certain scenarios, whereas Microsoft SQL Server consistently focuses on maintaining strong consistency in data operations.

In Summary, Cakebase and Microsoft SQL Server differ in data types support, query languages, scalability options, cost implications, ecosystem availability, and ACID compliance approach.

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Detailed Comparison

Microsoft SQL Server
Microsoft SQL Server
Cakebase
Cakebase

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

It is a lightweight json database for node, powerful.

Statistics
Stacks
21.3K
Stacks
1
Followers
15.5K
Followers
3
Votes
540
Votes
0
Pros & Cons
Pros
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
Cons
  • 4
    Expensive Licensing
  • 2
    Microsoft
  • 1
    Replication can loose the data
  • 1
    Allwayon can loose data in asycronious mode
  • 1
    The maximum number of connections is only 14000 connect
No community feedback yet
Integrations
No integrations available
Node.js
Node.js

What are some alternatives to Microsoft SQL Server, Cakebase?

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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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