Software Alternatives & Startups

Datomic VS Cloudant

Compare Datomic VS Cloudant and see what are their differences

Datomic

The fully transactional, cloud-ready, distributed database

Rating
0 reviews
Cloudant

A scalable JSON document database for web, mobile, IoT and serverless applications.

Rating
0 reviews

Which is more popular?

Databases popularity
54% vs 46%
alternatives listed
66 vs 68

Base details

Website, pricing, platforms and company facts side by side.

Datomic
Cloudant
Website datomic.com ibm.com
Pricing —
Listed in

Features and specs

What each product offers, as listed by its team.

Datomic 6 features
Cloudant 5 features
  • Immutability
    Datomic employs an append-only data model where data is never overwritten but instead appended, ensuring historical data is always available and providing strong consistency.
  • Time Travel Queries
    Datomic allows you to query the database as of any point in time, facilitating auditing and debugging by allowing easy access to historical data states.
  • Rich Data Model
    Supports complex data types like maps and sets directly within its schema, providing a flexible way to represent data.
  • ACID Transactions
    Datomic supports fully ACID-compliant transactions, ensuring reliable and predictable database operations.
  • Scalability
    Separates storage and compute, allowing for horizontal scaling of read operations, making it suitable for handling large datasets.
  • Query Flexibility
    Offers a powerful query language that supports recursive queries, making it suitable for complex data retrieval needs.

Possible disadvantages

  • Complexity
    The architecture of Datomic can be complex to understand and implement, particularly for teams unfamiliar with its design principles.
  • Cost
    Can be expensive to operate, especially in a cloud environment, where costs increase with the amount of data stored and the compute resources required.
  • Limited Write Throughput
    Due to its append-only design, Datomic can have limited write throughput, which may not be suitable for applications with heavy write requirements.
  • Closed Source
    Datomic is a proprietary database system, which may not appeal to organizations that prefer open-source solutions.
  • Learning Curve
    Requires a learning curve as its conceptual model and query language are different from traditional databases, potentially requiring additional training.
  • Dependency on AWS
    Relying on AWS ecosystem for the storage backend can limit choices for deployment environments, impacting flexibility.
  • Scalability
    Cloudant offers elastic scaling, meaning it can handle large amounts of traffic and data without compromising performance. This is particularly beneficial for applications with unpredictable workloads.
  • Fully Managed Service
    As a fully managed database as a service (DBaaS), Cloudant takes care of database administration tasks such as hardware provisioning, updates, backups, and scaling, allowing developers to focus on building applications.
  • High Availability
    Cloudant is designed to provide high availability with its distributed architecture, which includes automatic replication and data redundancy across multiple servers and data centers.
  • Global Distribution
    Cloudant provides global distribution capabilities, allowing users to deploy databases closer to their users to reduce latency and improve performance across different geographical locations.
  • Integration
    Cloudant integrates well with other IBM Cloud services and third-party tools, providing flexibility and leveraging existing ecosystems for extended capabilities.

Possible disadvantages

  • Cost
    For businesses with limited budgets, the cost of using a fully managed service like Cloudant can be higher compared to self-hosting. Pricing can increase significantly with data growth and additional features.
  • Complexity
    Despite being a managed service, Cloudant's variety of features and configurations might have a learning curve for new users or those not familiar with distributed databases.
  • Limited Query Capabilities
    While Cloudant does support complex querying capabilities, it may not be as advanced or fast as some SQL-based databases when it comes to certain types of queries.
  • Vendor Lock-in
    Relying on Cloudant and integrating deeply into its ecosystem can lead to challenges in migrating to other databases or cloud providers in the future.
  • Data Consistency
    As a NoSQL database, Cloudant might not offer strong consistency by default, which could be a limitation for applications requiring immediate consistency across distributed environments.

Videos

Walkthroughs and reviews on video.

Datomic 3 videos + Add
Cloudant 3 videos + Add

KotlinConf 2018 - Datomic: The Most Innovative DB You've Never Heard Of by August Lilleaas

More videos

  • - "Real-World Datomic: An Experience Report" by Craig Andera (2013)
  • - Rich Hickey on Datomic Ions, September 12, 2018

Introduction to Cloudant

More videos

  • - Why Cloudant? Database clusters, Web apps & more
  • - Connect IBM Cloud Cloudant with Postman

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Datomic
Cloudant
54% 54%
46% 46%
70% 70%
30% 30%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Datomic no reviews yet
Cloudant no reviews yet

We have no reviews of Datomic yet. Be the first one to post

  • 9 Best MongoDB alternatives in 2019
    www.guru99.com · May 2019

    IBM Cloudant is a distributed DBMS system and full management JSON document. It helps you to store web and mobile apps which allows you to maintain data access and availability at extreme scale.

Alternatives to Datomic and Cloudant

When comparing Datomic and Cloudant, you can also consider the following products.