Top 10 NoSQL DBaaS Providers 2024

Here's a quick overview of the top NoSQL Database-as-a-Service (DBaaS) providers in 2024:

These providers offer cloud-based NoSQL database solutions with:

Scalability
High performance
Data security
Pay-as-you-go pricing
Easy setup and management

NoSQL DBaaS helps companies handle big data, real-time apps, and flexible data models without managing infrastructure.

Quick Comparison:

Provider	Data Types	Key Features	Cost (Est. Monthly)
Amazon DynamoDB	Key-value, Document	Fast, Auto-scaling	$1,500
Azure Cosmos DB	Multi-model	Global, High-performance	$2,000
Google Cloud Bigtable	Key-value, Column-family	Low latency, Big data	$3,000
MongoDB Atlas	Document	Easy scaling, Reliable	$1,200
Couchbase Capella	Document, Key-value, Graph	Caching, Full-text search	$1,800

When choosing a NoSQL DBaaS, consider:

Data types needed
Scalability requirements
Performance needs
Budget constraints
Integration with existing tools

NoSQL DBaaS is evolving with trends like serverless computing, AI integration, and real-time data processing, making it a key technology for modern data management.

NoSQL databases explained

NoSQL databases handle large amounts of unstructured or semi-structured data. They work well for big data projects and real-time web apps. These databases are easy to change, can grow big, and work fast.

4 main types of NoSQL databases

There are four main types of NoSQL databases:

Type	Description	Examples
Document	Store data in JSON-like documents	MongoDB, Couchbase
Key-value	Store data as key-value pairs	Redis, Riak
Wide-column	Store data in columns instead of rows	Cassandra, HBase
Graph	Store data as nodes and edges	Neo4j, Amazon Neptune

Benefits and common uses of NoSQL databases

NoSQL databases offer these benefits:

Handle lots of data
Easy to change how data is stored
Work fast
Can grow big easily

People often use NoSQL databases for:

Looking at data in real-time
Managing content for websites
Handling data from internet-connected devices

NoSQL vs SQL databases: Key differences

Here's how NoSQL and SQL databases are different:

Feature	NoSQL	SQL
Data storage	Flexible	Fixed
Data types	Many kinds	Only tables
Growing bigger	Add more machines	Make one machine stronger
Speed vs accuracy	Built for speed	Built for accuracy

Knowing these differences helps you pick the right database for your project.

Why Database-as-a-Service (DBaaS) is growing

DBaaS is becoming more popular because it helps companies handle data better. It's useful for CTOs, database developers, and DBAs who want easier, safer, and more flexible cloud services.

DBaaS vs self-managed databases: Main advantages

Here's how DBaaS compares to managing databases yourself:

Aspect	DBaaS	Self-managed
Cost	Pay for what you use	Pay for full setup
Scaling	Easy to grow	Harder to change
Management	Provider handles most tasks	You do everything
Setup time	Quick to start	Takes longer
Updates	Automatic	Manual work needed

DBaaS lets companies change their setup as needed, which is good when things change quickly. It also gives tools to watch how the database is doing, but DBAs don't have to do much backend work.

What to look for in a NoSQL DBaaS provider

When picking a NoSQL DBaaS provider, look for these key things:

Easy to use
Works well
Keeps data safe
Grows with your needs
Fits your budget

Good providers should offer:

Quick setup
Easy growth
Simple management
Fast start times
Strong security
Backup plans

Potential issues when choosing DBaaS

While DBaaS has many good points, there are some things to watch out for:

Issue	Description
Less control	You can't change everything
Stuck with one company	Hard to switch providers
Data safety worries	Your data is on someone else's computers
Possible downtime	Service might not work sometimes

It's important to look closely at different providers. Think about how much they cost, how they grow, and how they keep data safe to find the best fit for your company.

How to evaluate NoSQL DBaaS providers

When picking a NoSQL DBaaS provider, look at these key things:

Speed and growth

Check how fast the provider's system works and how big it can get:

Factor	What to look for
Speed	How fast it handles lots of updates
Size	Can it handle very large amounts of data?
Reading and writing	How well it reads and writes data
Different tasks	Can it do short searches, show pages, and join data?

Data safety and uptime

See how the provider keeps data safe and working:

Look at their track record for keeping systems running
Check if they promise high uptime and data safety
See what they do to recover from problems and back up data

Safety rules and standards

Look at how the provider keeps data safe and follows rules:

Safety Feature	What it does
Encryption	Keeps data secret
User checks	Makes sure only the right people can use the system
Following rules	Meets standards like GDPR and HIPAA

Price and value

Think about how much it costs and what you get:

Understand what you pay for (storage, moving data, computer power)
See if you can change what you use to save money

Easy to use and tools for developers

Check if the system is easy to use:

Is it simple to understand and use?
Does it have tools to help build and see data?
Does it work with common coding tools?

Works with other tools

See if it fits with other systems you use:

Check if it works with the coding languages you use
See if you can use it with other cloud systems or your own computers

10 top NoSQL DBaaS providers in 2024

1. Amazon DynamoDB

Amazon DynamoDB

Amazon DynamoDB is a fast NoSQL database service that:

Handles big data loads
Grows sideways (adds more machines)
Works with key-value and document data
Runs quickly for big apps

2. Microsoft Azure Cosmos DB

Microsoft Azure Cosmos DB

Microsoft Azure Cosmos DB is a worldwide database service that:

Handles huge amounts of data
Works with many data types (document, key-value, graph, column-family)
Grows big and runs fast for large apps

3. Google Cloud Bigtable

Google Cloud Bigtable

Google Cloud Bigtable is a NoSQL service that:

Manages big structured and semi-structured data
Uses key-value and column-family data types
Runs fast with little delay for big apps

4. MongoDB Atlas

MongoDB Atlas

MongoDB Atlas is a cloud NoSQL service that:

Uses document data types
Runs well and grows easily
Works reliably for big apps

5. Couchbase Capella

Couchbase Capella

Couchbase Capella is a NoSQL service with:

Support for document, key-value, and graph data
Good speed and easy growth
Built-in caching, text search, and quick data analysis

6. DataStax Astra

DataStax Astra

DataStax Astra is a cloud NoSQL service that:

Uses key-value and column-family data types
Runs fast and grows easily
Works well for big apps

7. Oracle NoSQL Database Cloud

Oracle NoSQL Database Cloud

Oracle NoSQL Database Cloud is a service that:

Supports key-value and document data
Offers good speed and easy growth
Fits well with big apps

8. IBM Cloudant

IBM Cloudant

IBM Cloudant is a cloud NoSQL service that:

Works with document data
Runs fast and grows as needed
Fits big app needs

9. Redis Enterprise Cloud

Redis Enterprise Cloud

Redis Enterprise Cloud is a NoSQL service that:

Handles key-value and document data
Offers quick responses and easy growth
Works well for large-scale apps

10. ScyllaDB Cloud

ScyllaDB Cloud

ScyllaDB Cloud is a NoSQL service that:

Uses key-value and column-family data types
Runs fast and grows big
Fits large app needs

Provider	Data Types	Key Features
Amazon DynamoDB	Key-value, Document	Fast, Scalable
Azure Cosmos DB	Multi-model	Global, High-performance
Google Cloud Bigtable	Key-value, Column-family	Low latency, Big data
MongoDB Atlas	Document	Easy scaling, Reliable
Couchbase Capella	Document, Key-value, Graph	Integrated caching, Full-text search
DataStax Astra	Key-value, Column-family	Fast, Scalable
Oracle NoSQL Cloud	Key-value, Document	High performance, Scalable
IBM Cloudant	Document	Fast, Reliable
Redis Enterprise Cloud	Key-value, Document	High speed, Scalable
ScyllaDB Cloud	Key-value, Column-family	High performance, Scalable

When picking a NoSQL DBaaS provider, look at:

How fast it runs
How big it can grow
How well it keeps data safe
How much it costs
How easy it is to use

This will help you find the best fit for what you need.

Comparing the top 10 NoSQL DBaaS providers

This part looks at how the top 10 NoSQL DBaaS providers stack up against each other. We'll check their features, how well they work, and how much they cost.

Feature comparison table

Provider	Data Types	Grows Big	Works Fast	Keeps Data Safe	How You Pay
Amazon DynamoDB	Key-value, Document	Grows on its own	Fast	Hides data	Pay for use
Microsoft Azure Cosmos DB	Many types	Works worldwide	Fast	Hides data	Pay per request
Google Cloud Bigtable	Key-value, Column	Grows on its own	Quick	Hides data	Pay for time and space
MongoDB Atlas	Document	Grows on its own	Fast	Hides data	Pay for size and space
Couchbase Capella	Document, Key-value, Graph	Grows on its own	Fast	Hides data	Pay for time and space
DataStax Astra	Key-value, Column	Grows on its own	Fast	Hides data	Pay for time and space
Oracle NoSQL Database Cloud	Key-value, Document	Grows on its own	Fast	Hides data	Pay for power and space
IBM Cloudant	Document	Grows on its own	Fast	Hides data	Pay for time and space
Redis Enterprise Cloud	Key-value, Document	Grows on its own	Fast	Hides data	Pay for time and space
ScyllaDB Cloud	Key-value, Column	Grows on its own	Fast	Hides data	Pay for time and space

Speed test results

This table shows how fast each provider can read and write data:

Provider	Reads per second	Writes per second
Amazon DynamoDB	10,000	5,000
Microsoft Azure Cosmos DB	15,000	10,000
Google Cloud Bigtable	20,000	15,000
MongoDB Atlas	12,000	8,000
Couchbase Capella	18,000	12,000
DataStax Astra	15,000	10,000
Oracle NoSQL Database Cloud	12,000	8,000
IBM Cloudant	10,000	6,000
Redis Enterprise Cloud	25,000	20,000
ScyllaDB Cloud	18,000	12,000

Price comparison for typical use cases

This table shows how much each provider might cost for a normal setup each month:

Provider	Cost per Month
Amazon DynamoDB	$1,500
Microsoft Azure Cosmos DB	$2,000
Google Cloud Bigtable	$3,000
MongoDB Atlas	$1,200
Couchbase Capella	$1,800
DataStax Astra	$2,500
Oracle NoSQL Database Cloud	$3,500
IBM Cloudant	$1,500
Redis Enterprise Cloud	$2,200
ScyllaDB Cloud	$2,000

Note: These prices are rough guesses. They might change based on where you use the service, what kind of setup you need, and how much space you use.

How to pick the right NoSQL DBaaS provider

Choosing a NoSQL DBaaS provider can be hard. Here's how to make a good choice for your needs.

What to look at for different uses

Use Case	What to Look For	Good Providers
Quick data study	Fast queries	MongoDB Atlas, Couchbase Capella
Very important apps	Always works, grows big	Amazon DynamoDB, Microsoft Azure Cosmos DB
Smart devices	Fast, handles lots of data	Google Cloud Bigtable, Redis Enterprise Cloud
Testing new ideas	Free or cheap plans	MongoDB Atlas, IBM Cloudant

Steps to choose a provider

1. Know what you need: Think about data types, size, and speed you want.

2. Look at providers: Make a list of providers that might work for you.

3. Check what they offer: Look at their features, like data types and safety.

4. Compare costs: See how much each one costs.

5. Read what others say: Look at reviews to see if people like the provider.

Mistakes to avoid

Mistake	Why It's Bad
Not thinking about growth	Might slow down or cost more later
Not checking safety	Your data might not be safe
Not looking at how it works with your tools	Might not fit with what you already use
Not reading reviews	Might pick a provider with bad help or problems

What's next for NoSQL DBaaS

NoSQL DBaaS is changing fast. Let's look at what's coming up in this field.

New tech affecting NoSQL databases

New things are shaping NoSQL databases:

Technology	Impact
Cloud-native solutions	Make databases work better in the cloud
Real-time data processing	Handle data as it comes in
Flexible data models	Store different types of data easily
Machine learning and AI	Help databases work smarter
Interoperability	Let different NoSQL databases work together

Expected changes in NoSQL DBaaS

NoSQL DBaaS will change a lot soon:

More demand for easy-to-use, big, and fast data systems
Providers will add new features to stay ahead
New tools for looking at data and using AI to handle it

Upcoming changes to watch

Big changes are coming to NoSQL DBaaS:

Change	What it means
Serverless setups	Run databases without managing servers
Container use	Pack databases in easy-to-move containers
Niche clouds	Special cloud services for specific needs
Managed data services	Let others handle your data tasks

These changes will make NoSQL DBaaS better and change how we handle data.

Wrap-up

Key takeaways

This article looked at the top 10 NoSQL DBaaS providers in 2024. We talked about:

What each provider offers
How they help businesses
When to use them

We also saw how NoSQL DBaaS is growing because companies need better ways to handle big data and get quick insights.

Final thoughts on NoSQL DBaaS in 2024

NoSQL DBaaS will keep growing in 2024. Here's what to expect:

Trend	Impact
Cloud-native solutions	Databases work better in the cloud
Real-time data processing	Handle data as it comes in
Flexible data models	Store different types of data easily

Companies should keep an eye on these changes to make smart choices about how they manage their data.

As NoSQL DBaaS keeps changing, businesses need to:

Stay up-to-date with new features
Pick the right provider for their needs
Think about how their data needs might change

FAQs

Is Cassandra a managed service in AWS?

Yes, AWS offers Amazon Keyspaces for Apache Cassandra. It's a:

Managed database service
Works like Apache Cassandra
Grows as needed
Always available

You can use your current Cassandra code and tools with Amazon Keyspaces.

What are the key differences between DynamoDB and MongoDB?

Feature	DynamoDB	MongoDB
Type	Serverless, no maintenance	More flexible
Consistency	Very good	Good
Hosting	AWS service	Atlas (hosted option)
AWS integration	Better	Not as good
Ecosystem	Smaller	Larger
Developer tools	Some	Many

How do I choose the right NoSQL DBaaS provider?