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CrateIO

19
39
+ 1
7
FoundationDB

33
79
+ 1
21
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CrateIO vs FoundationDB: What are the differences?

What is CrateIO? The Distributed Database for Docker. Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

What is FoundationDB? Multi-model database with particularly strong fault tolerance, performance, and operational ease. FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

CrateIO and FoundationDB can be primarily classified as "Databases" tools.

Some of the features offered by CrateIO are:

  • Familiar SQL syntax
  • Semi-structured data
  • High availability, resiliency, and scalability in a distributed design

On the other hand, FoundationDB provides the following key features:

  • Multiple data models
  • Full, multi-key ACID transactions
  • No locking

"Simplicity" is the top reason why over 2 developers like CrateIO, while over 2 developers mention "ACID transactions" as the leading cause for choosing FoundationDB.

CrateIO is an open source tool with 2.49K GitHub stars and 333 GitHub forks. Here's a link to CrateIO's open source repository on GitHub.

Decisions about CrateIO and FoundationDB
Karan Kaushik
Senior Software Developer at Shyplite · | 5 upvotes · 38.6K views

So, we started using foundationDB for an OLAP system although the inbuilt tools for some core things like aggregation and filtering were negligible, with the high through put of the DB, we were able to handle it on the application. The system has been running pretty well for the past 6 months, although the data load isn’t very high yet, the performance is fairly promising

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Pros of CrateIO
Pros of FoundationDB
  • 3
    Simplicity
  • 2
    Scale
  • 2
    Open source
  • 6
    ACID transactions
  • 5
    Linear scalability
  • 3
    Multi-model database
  • 3
    Key-Value Store
  • 3
    Great Foundation
  • 1
    SQL Layer

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- No public GitHub repository available -

What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

What is FoundationDB?

FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

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What companies use CrateIO?
What companies use FoundationDB?
    No companies found
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    What tools integrate with CrateIO?
    What tools integrate with FoundationDB?
      No integrations found
      What are some alternatives to CrateIO and FoundationDB?
      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.
      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.
      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.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives