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ScaleChamp VS Datomic

Compare ScaleChamp VS Datomic and see what are their differences

ScaleChamp logo ScaleChamp

Victorious Managed Databases

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database
  • ScaleChamp Landing page
    Landing page //
    2023-08-21

ScaleChamp is a managed databases provider with PostgreSQL, Redis, KeyDB, MySQL support across Hetzner Cloud, AWS, Linode, IBM Cloud, Azure, Scaleway, Alibaba Cloud, DigitalOcean, GCP, UpCloud, Vultr clouds

  • Datomic Landing page
    Landing page //
    2023-09-14

ScaleChamp

Website
github.com
$ Details
paid Free Trial $10.0 / Monthly (1 GB RAM/1 vCPU/30 GB Disk)
Platforms
Linux Web Cloud

ScaleChamp features and specs

  • Backups
    Daily and PITR
  • Encryption
    E2E
  • High Availibility
    Primary/Replica
  • Metrics
    Node and Service metrics

Datomic features and specs

  • 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 of Datomic

  • 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.

ScaleChamp videos

ScaleChamp Demo

Datomic videos

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

More videos:

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

Category Popularity

0-100% (relative to ScaleChamp and Datomic)
Databases
16 16%
84% 84
Cloud Computing
100 100%
0% 0
Relational Databases
0 0%
100% 100
Cloud Infrastructure
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ScaleChamp and Datomic

ScaleChamp Reviews

  1. mikefaraponov
    ยท Founder at ScaleChamp ยท
    ScaleChamp Managed Databases

    Ultra powerful and simple to manage database hosting

    ๐Ÿ‘ Pros:    Pitr|Encryption|Backups|Metrics|Vultr support|Linode support|Upcloud support|Hetzner cloud support

Datomic Reviews

We have no reviews of Datomic yet.
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What are some alternatives?

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

Aiven - Leverage the complete open source ecosystem of extensions and tools to create highly-performant data pipelines for event-driven applications on all major clouds.

Datahike - A durable datalog database adaptable for distribution.

Hive - Seamless project management and collaboration for your team.

Google Cloud Datastore - Cloud Datastore is a NoSQL database for your web and mobile applications.

Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server