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What is the best alternative to Cloudant?
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F(x) Data Cloud
All
7
Experiences
Pros
5
Cons
1
Specs
Top
Pro
Option for hosting the database service on the cloud server.
If you wanna host your database on the cloud server, you can have both the option as Database as a Service (Pre-installed and managed database) or Infrastructure as a Service (If you want to have root access and manually want to install the database).
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Con
No GPU provided
GPU is not provided.
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Pro
High uptime
All the cloud services are with 99.95% uptime.
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Pro
Cost-friendly
F(x) Data Cloud provides public cloud server at a cheap price. The basic plan starts at $1.99/month.
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Pro
Great Support
Typically answers in minute.
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Pro
Provides high configurations
They provide 32 vCPU, 128 GB RAM, 2000 GB SSD, 9 TB network. For large businesses, high configurations are required.
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Specs
Server locations:
United States
ISOs:
Ubuntu, Fedora, Debian, CentOS, OpenSUSE, Windows
Virtualization:
KVM
Cloud Storage:
Yes
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44
8
Cassandra
All
4
Experiences
Pros
2
Cons
2
Top
Pro
Highly scalable
Cassandra is very scalable and achieves the highest throughput for the maximum number of nodes compared to other alternatives. Unfortunately this also brings rather high write and read latencies.
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Top
Con
Not for newbies
If your dataset is in order of gigabytes then maybe consider a toy database, not a serious one like Cassandra.
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Top
Pro
Familiar to developers used to SQL
The query language that Cassandra uses (CQL) is similar to SQL even though it's a NoSQL database.
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Top
Con
No JOINS
Cassandra has no support for JOINS.
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8
0
MarkLogic
All
6
Experiences
Pros
4
Cons
2
Top
Pro
High performance graph database
While known as a document-oriented noSQL database, MarkLogic also provides a standards-compliant triple store that can be used to enrich document-shaped data with semantic links.
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Top
Con
Lack of experts
MarkLogic is not as popular as some of it's peers, and even though it is highly standards-based, the pool of talent that is well-versed in the underlying technology is small compared with some competing platforms (e.g, Oracle, IBM, Apache).
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Top
Pro
Enterprise strength security and transactions
The two fatal flaws of many open source solutions is lack of integrated security at the element level and full ACID transaction support. MarkLogic has both and is trusted with some of the worlds most sensitive data. It is the engine that powers healthcare.gov, which despite some early problems (not caused by MarkLogic) is an amazing technological achievement.
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Top
Con
Enterprise software is not open source and can get expensive. Not for casual projects.
MarkLogic can be downloaded and implemented in development environments for free. However, for production use, it is priced for enterprises, not startups with tight budgets. Open source requires a lot more elbow grease to do the same thing.
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Top
Pro
Multi-model database
MarkLogic supports text, documents, key-value/tuple, graphs, tables and object models that don't require extensive data-modeling and normalization that is part of the lifecycle process of relational database management systems. For sites similar to LinkedIn, Facebook, IMDB and even search engines, MarkLogic provides a unique set of features that are all in one box.
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Pro
No ETL Required
MarkLogic can store all your enterprise data in it's original format without needing to know a schema in advanced. You can shove pretty much any structured or unstructured data directly into MarkLogic, and it will automatically index everything and make it available for future processing. Of course it is fully schema aware and will apply and enforce schema constraints when available, but the tedious normalization that is required for relational databases is not necessary.
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Paid
2
0
PostgreSQL
All
11
Experiences
Pros
9
Cons
1
Specs
Top
Pro
High performance
PostgreSQL performance increases with each release, this is also proven by many benchmark tests. Notable performance features include: As PostgreSQL only supports one storage engine, it has been able to integrate and optimise it and with the rest of the database. This has resulted in multiple benefits such as the ability to allow different transaction types to co-exist efficiently without the need to select storage engine types once for each table ahead of time. On the fly data compression resulting in less IO required for reading. Asynchronous + synchronous Replication. PostgreSQL supports a asynchronous API for use by client applications. It is reported to increase performance by up to 40% and is not supported by MySQL. Designed to scale very well with large numbers of cores at high concurrency levels.
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Top
Con
Not suited for small apps
Because of it's complexity and power, it may be an overkill to use PostgreSQL in small applications that will not make use of it's full power.
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Top
Pro
Fully ACID compliant
PostgreSQL is known to have a very holistic approach to robustness and data integrity which is reflected by it being fully ACID compliant. PostgreSQL has always been strict about making sure data is valid before allowing it into the database, and there is no way for a client to bypass those checks. Depending on your requirements, ACID compliance might be important.
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Top
Pro
Strong community
PostgreSQL has a strong community backing it, with guides, tutorials and support for any kind of problem a developer may have.
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Top
Pro
Support for JSON data type
JSON data can be stored as a column with optional indexes. In 9.4 (upcoming at the time of this writing), JSONB will be a binary version of JSON that will save space. It's like the best of the NO-SQL world without having to give up ACID and Relationships. This means that cascading deletes can be done in a single Transaction across multiple JSON documents.
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Pro
Actively developed
Regular fixes and features are released
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Pro
Support for geographic objects
PostgreSQL can be extended to have geographic object support through PostGIS and allows for location queries to be run through SQL.
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Pro
Multiple node packages available
There are many packages (like Sequelize) that integrate deeply with the features Postgres offers.
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Top
Pro
Support Perl and Python for coding stored procedures
Postgres supports popular languages for coding stored procedures, such as Perl and Python. So, you can fairly easy transform just DB-server to reliable Service with complex business logic.
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Pro
Open Source, powerful and on par with other paid RDBMS'
It is a powerful, open source product that has all the bells and whistles when compared with its costly, proprietary counterparts.
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Specs
Platforms:
Windows, Linux, Mac, BSD
Technology:
C
JSON?:
Yes
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Experiences
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352
33
Orchestrate
All
7
Experiences
Pros
5
Cons
2
Top
Pro
Effortless/Automatic Scaling
Orchestrate was built for scale. Orchestrate is a full-fledged distributed data system, provided as a multi-tenant service. There is no need to manage finite server resources like disk space, CPU, or memory
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Top
Con
Data are not on your server
Since it's a DBaaS, your data are completely on their server. It cannot be run on your server. Backup is handled by them as well, which may be good or not depending on your needs.
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Top
Pro
Already set up for you
Orchestrate is a Database-as-a-Service, so there is no downloading, installation, or any other administration. It also makes configuration management and deployment easy.
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Top
Con
Not Open Source
Orchestrate is not an open source solution.
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Top
Pro
Great Node.js support
Orchestrate.js is a first class client for Node.js applications
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Top
Pro
Fault Tolerance Baked In
As a DBaaS, Orchestrate manages replicas and sharding across multiple machines. Additionally, daily backups are managed by the company.
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Pro
Multiple Query types at Low Latencies
No other database provides Full-Text-Search, Time-Series, Graph, and Key/Value APIs. Moreover, as a DBaaS, the queries are pre-optimized for low latencies. Consistently under 10ms for any query.
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9
2
OrientDB
All
13
Experiences
Pros
9
Cons
3
Specs
Top
Pro
Multi-model database (document, object, graph)
This database is primarily, or historically, thought of as a graph database. However, it is actually a multi-model database that supports a variety of noSQL models (key-value, document, etc.).
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Top
Con
Not well known
It's a very unfortunate thing, but it's true. Not many people know of this gem so that makes it difficult to find community support at times. It also makes it hard to get people on board with it who shop products by brand name or flashy marketing. It also means there are fewer code snippets, libraries, and frameworks that consider it. While it's interoperability is good with SQL support and Tinkerpop, it still doesn't change the fact that many things don't give it much thought and that can lead to more work as a developer sometimes.
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Top
Pro
Open Source commercial friendly license (Apache 2)
The Apache 2 license is one of the most liberal licenses. You can use OrientDB for any purpose for free.
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Top
Con
Learning curve
A lot of effort went into making OrientDB easy and familiar to use (such as SQL queries for example). However, it's important to understand the database engine a bit and how it works in general (links for example). This involves a bit of a learning curve if you're not familiar with graph databases. Not an enormous curve or anything, but it's still a consideration.
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Pro
Free clustering support
Unlike other NoSql databases, OrientDB offers clustering support for free. Furthermore, it's not a basic Master/Slave, but it supports Master-Master replication + Sharding.
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Top
Con
Bulk inserts may cause an out of memory crash
When doing inserts in OrientDB you have to be careful to do them one at a time. Bulk inserts may cause out of memory error.
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Top
Pro
Distributed Graph Database with relational type Documents
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Top
Pro
Supports sql as well as other query languages
It can be queried in a number of ways, but the ability to query with SQL makes it a bit more familiar to use.
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Top
Pro
Multi-master replication
OrientDB is incredibly scalable thanks to its multi-master replication. All nodes in a cluster can both read and write.
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Pro
Full text search
Full text search support is available when using Lucene based indexing algorithm.
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Pro
Performance
OrientDB is very fast, especially when it comes to relationships between records (or "links").
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Pro
Enterprise version available
The Community Edition is free and covers many features, but an Enterprise Edition is available (prices are transparent, published online) with 24x7 support.
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Specs
Platforms:
Windows, Linux, Mac
Technology:
Java
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Experiences
Free
41
11
MySQL
All
5
Experiences
Pros
3
Cons
1
Specs
Top
Pro
Scalable
MySQL is made to handle a lot of data and to be used in large applications. This makes it extremely scalable and fast, even under a lot of workload.
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Top
Con
Error messages usually are not very detailed
When you are trying to do something in MySQL and something goes wrong it will simply give you an error message with an error code. Which does not say much about what went wrong unless you look it up online. This can be a little cumbersome during development.
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Top
Pro
Multiple third-party tools that help working with MySQL
Since MySQL is one of the most popular relational databases, maybe the most popular, there exist many third-party tools and applications that help developers to use MySQL in their development.
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Top
Pro
Easy to start working with
Because of it's popularity there are a lot of tutorials and guides out there that help developers install and work with MySQL. The installation process itself is not very hard and there are multiple powerful GUI tools that make it extremely easy to work with MySQL for a beginner.
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Specs
Technology:
C/C++
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108
32
ArangoDB
All
7
Experiences
Pros
6
Specs
Top
Pro
Document and graph-orientend
You can model your data as documents or as a graph - no data model lock-in. You can even combine both models and use them in a single AQL query.
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Top
Pro
Supports joins
Unlike many NoSQL databases, ArangoDB does support joins in AQL queries.
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Top
Pro
JavaScript-API
You can extend ArangoDB using JavaScript that runs directly on the Server (Google V8). You can build data-centric microservices that aggregate, validate, transform or enrich data (It's up to you, plain JavaScript) and provide those via a custom API route.
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Top
Pro
Transaction save
You can use ACID Transactions for short and small data retrieval and/or modification operations in ArangoDB.
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Top
Pro
Easy cluster setup
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Top
Pro
Powerful Java Driver (Sync & Async)
ArangoDB has a very good Java Driver for synchronous and asynchronous. In addition the team there is working on a Spring Data integration.
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Specs
Platforms:
Windows, Linux, Mac
Technology:
C++
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Experiences
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36
13
RethinkDB
All
10
Experiences
Pros
7
Cons
2
Specs
Top
Pro
Easy install
Only takes about 30 seconds to install. They also have a docker file for running it on AWS, Google Cloud or your own.
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Top
Con
Cannot run queries from its CLI
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Top
Pro
Changefeeds (change listeners)
You can listen to changes and trigger code based on these changes.
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Top
Con
No user accounts
This is just the database, you need to setup your own auth and user accounts (such as using Auth0).
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Top
Pro
Powerful query language
RethinkDB's ReQL is a very powerful functional query language. The functional aspects of ReQL and the straightforward implementation of the Node driver for Rethinkdb make it a natural fit for Javascript developers. You no longer have to type some obscure syntax in quotes (aka SQL), your queries are just "natural" Javascript functions in the same way you would use lodash to handle your collections.
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Top
Pro
Auto master promotion
Unlike a lot of other databases where if the master is down the system is down, this one if the master is down someone else is made master so much more peer to peer.
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Top
Pro
CLI and web administration tools
RethinkDB has administration tools in both CLI and GUI (web app). You can view whats going on right away by going to localhost:8080. The data explorer allows you to run queries on the db.
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Top
Pro
Horizontal scalability
RethinkDB is scalable horizontally. It has support for sharding, parallel queries and MVCC concurrency.
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Top
Pro
Ease of cluster setup
You can directly tell it to shard/replicate and how many shards/replicas depending on the amount of nodes. Each node doesn't need anything except one other node's ip/port in the cluster to join and maybe the auth.
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Specs
Platforms:
Windows, Linux, Mac
Technology:
C++, Python
JSON?:
Yes
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Experiences
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120
44
MongoDB
All
9
Experiences
Pros
5
Cons
3
Specs
Top
Pro
Perfect documentation and tutorials
Miles above other databases in educational resources.
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Top
Con
Reported to lose or corrupt data
MongoDB is famously known for leaking and losing data over time.
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Pro
Great speed
MongoDB queries can be very fast because the data is usually all in one place and can easily be retrieved in a single lookup. But this is true only when the data is truly a document. When it's trying to emulate a relational model it starts to become really slow because it may have to perform many independent queries to retrieve a single document.
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Top
Con
Document Stores may be not suited for relational data
MongoDB has no JOIN, all relations are supposed to be resolved client-size which entails additional requests to the server.
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Pro
Uses JSON
As Node.js uses JavaScript there's no need to map the returned JSON data from MongoDB, as JavaScript is a superset of JSON. Essentially solving object-relational impedance mismatch by its very nature. Working with JSON is also easier overall as it more easily fits into how you would represent data on the client.
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Top
Con
Need many search features
Though it is possible to index and search text in documents in MongoDB 4.0 in multiple languages. The indexing and search is not as powerful as for example Elastic Search. For instance not being able to search for only parts of words.
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Top
Pro
Doesn't require a unified data structure
Mongo is very flexible in that it doesn't require a unified data structure across all objects. So it's rather easy to use.
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Pro
Easy to scale
MongoDB has powerful sharding and scaling capabilities for when the data stored in the database gets so large that a single machine may not be able to store all of it. Sharding solves this problem through horizontal scaling. Mongo gives developers the ability to easily and painlessly add or remove as many machines as needed.
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Specs
Platforms:
Windows,Mac,Linux
JSON?:
true
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Experiences
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130
54
DynamoDB
All
6
Experiences
Pros
4
Cons
2
Top
Pro
Free tier
DynamoDB offers a free tier which allows up to 40 million database operations a month for free.
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Top
Con
No specific features for Event Sourcing
DynamoDB is just a general purpose NoSQL database; hence, there are no features specific to the domain of Event Sourcing, such as event ordering or projections. As a developer, you will need to decide how to implement these.
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Top
Pro
Trigger tasks (AWS Lambda) on write
When a new record is written, it can trigger one or many AWS Lambda functions. With Lambda functions in Java, JavaScript, and Python and the other con of "Easy integration with other Amazon services", Lambda functions may be all you need to process the events. This is particularly useful for creating projections (often as other DynamoDB tables) and other read models in a CQRS pattern.
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Con
Poor documentation
In true AWS fashion, the documentation for DynamoDB is not top notch. While the learning curve is generally very soft and it's not hard to learn, you need to have at least some experience with cloud and database management to be able to start using DynamoDB and understand the documentation.
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Pro
High uptime
Data hosted on DynamoDB is automatically replicated across multiple AWS availability zones, this way the data is protected from any malfunction that may cause loss and it also ensures high uptime.
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Pro
Easy integration with other Amazon services
Since it's part of AWS, like with other services that Amazon provides, it's very easy to integrate DynamoDB with any other AWS service that you may be using.
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4
3
Couchbase
All
9
Experiences
Pros
6
Cons
3
Top
Con
Vendor lock-in
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Pro
Open source
Couchbase and Couchbase Mobile are open source and released under the Apache License.
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Top
Con
No model mapper for Android
Couchbase does not have a model mapper for Android built-in and out of the box, instead you will have to write your own from scratch.
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Top
Pro
Easy to implement N1QL queries
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Con
Not Compatible with couchdb
Since version 2 the sync-protocol is no longer compatible with couchdb. This makes couchbase nearly worthless
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Top
Pro
Ability to run ad-hoc SQL like queries on realtime big data
Couchbase N1QL allows native SQL processing over JSON data with high performance indexing for low latency queries at scale.
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Top
Pro
Easy sync protocol to mobile devices
The minimal code needed to pull data down to a device
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Pro
Available on Windows, Linux & macOS
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Pro
Ability to make predefined fast queries
With Couchbase you can make "Views" of data, which are practically predefined queries which are fetched with an O(1) algorithm.
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Experiences
Free / paid
56
45
Amazon DynamoDB
All
5
Experiences
Pros
4
Cons
1
Top
Pro
Easy integration with other Amazon services
Since it's part of AWS, like with other services that Amazon provides, it's very easy to integrate DynamoDB with any other AWS service that you may be using.
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Top
Con
Poor documentation
In true AWS fashion, the documentation for DynamoDB is not top notch. While the learning curve is generally very soft and it's not hard to learn, you need to have at least some experience with cloud and database management to be able to start using DynamoDB and understand the documentation.
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Top
Pro
High uptime
Data hosted on DynamoDB is automatically replicated across multiple AWS availability zones, this way the data is protected from any malfunction that may cause loss and it also ensures high uptime.
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Top
Pro
Trigger tasks (AWS Lambda) on write
When a new record is written, it can trigger one or many AWS Lambda functions. With Lambda functions in Java, JavaScript, and Python and the other con of "Easy integration with other Amazon services", Lambda functions may be all you need to process the events. This is particularly useful for creating projections (often as other DynamoDB tables) and other read models in a CQRS pattern.
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Top
Pro
Free tier
DynamoDB offers a free tier which allows up to 40 million database operations a month for free.
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1
1
Google Cloud SQL
All
3
Experiences
Pros
1
Cons
2
Top
Con
AWFUL data integrity practice: Backup lifecycle is tied to instance lifecycle
If you are using Google CloudSQL, you are one command away from losing everything: gcloud sql instances delete prod-instance-name When you delete a CloudSQL instance, it also deletes the back-ups associated with that instance along with it. So if you accidentally delete your production database: Your backups? Poof. Gone. It says this in the fine print of the on-demand backups documentation: https://cloud.google.com/sql/docs/mysql/backup-recovery/backups#about_on-dem They persist until you delete them or until their instance is deleted. There is also no way to mark a CloudSQL instance as "protected" so one bad CLI command can lose you your production database and all backups. In order to get an actual backup workflow that will not affect production traffic, you must: Don't fall for it. Protect your production data. Avoid busywork caused by poor product design. Avoid Google CloudSQL.
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Top
Pro
Supports automatic encryption
Google Cloud SQL automatically encrypts all tables and temporary files.
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Con
Performance limits
There are some performance limits when dealing with transactions for Google Cloud SQL.
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1
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