Software Alternatives & Reviews

Datahike VS DynamoDB

Compare Datahike VS DynamoDB and see what are their differences

Datahike logo Datahike

A durable datalog database adaptable for distribution.

DynamoDB logo DynamoDB

Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.
  • Datahike Landing page
    Landing page //
    2023-08-22
  • DynamoDB Landing page
    Landing page //
    2023-03-18

Datahike videos

No Datahike videos yet. You could help us improve this page by suggesting one.

+ Add video

DynamoDB videos

#13 - Amazon DynamoDB Basics In Under 5 Minutes [Tutorial For Beginners]

More videos:

  • Review - AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)
  • Review - What is Amazon DynamoDB?

Category Popularity

0-100% (relative to Datahike and DynamoDB)
Databases
22 22%
78% 78
NoSQL Databases
36 36%
64% 64
Network & Admin
100 100%
0% 0
Cloud Computing
0 0%
100% 100

User comments

Share your experience with using Datahike and DynamoDB. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Datahike Reviews

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

DynamoDB Reviews

9 Best MongoDB alternatives in 2019
Amazon DynamoDB is a nonrelational database. This database system provides consistent latency and offers built-in security, and in-memory caching. DynamoDB is a serverless database which scales automatically and backs up your data for protection
Source: www.guru99.com

Social recommendations and mentions

Based on our record, DynamoDB seems to be a lot more popular than Datahike. While we know about 103 links to DynamoDB, we've tracked only 4 mentions of Datahike. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Datahike mentions (4)

  • The Ten Rules of Schema Growth
    Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1]. [0]: https://github.com/replikativ/datahike. - Source: Hacker News / 6 months ago
  • Is Datomic right for my use case?
    You can also consider other durable Datalog options like datahike or datalevin which can work either as lib (SQLite style) or in a client-server setup; if you want to play with bi-temporality XTDB is a rock solid option with very good support and documentation. Source: 10 months ago
  • Max Datom: Interactive Datomic Tutorial
    Oh really interesting. I didn't know about that. I was actually going threw the old Mendat code base and was considering using that. I would really like a pure Rust version of Datomic for embed use cases. There is all also Datahike, that is going in that direction too. It is maintained and actively developed. https://github.com/replikativ/datahike. - Source: Hacker News / about 2 years ago
  • Show HN: Matrix-CRDT – real-time collaborative apps using Matrix as backend
    Having an Datomic like store backed by something like this. https://github.com/replikativ/datahike Is an Open Source variant of Datomic. Lambdaforge wants to eventually have this work with CRDTs. Using the Matrix ecosystem for this is quite interesting as it solves many problems for you already. - Source: Hacker News / over 2 years ago

DynamoDB mentions (103)

  • Event-Driven Architecture on AWS
    Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / 11 days ago
  • How to Build Your Own ChatGPT Clone Using React & AWS Bedrock
    The first is AWS DynamoDB which is going to act as our NoSQL database for our project which we’re also going to pair with a Single-Table design architecture. - Source: dev.to / 10 days ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    DynamoDB - 25GB NoSQL DB EC2 - 750 hours per month of t2.micro or t3.micro(12mo). 100GB egress per month. - Source: dev.to / 3 months ago
  • Starting My AWS Certification Journey as a Certified Cloud Practitioner
    After two years, I moved to a Web3 startup where I was given a lead software engineer role. This new role gave me more hands-on experience with AWS, where I've learned to implement serverless technologies like Lambda and DynamoDB. - Source: dev.to / 5 months ago
  • Ask HN: What do pro developers use as their noSQL db?
    Dynamodb on amazon web services. https://aws.amazon.com/dynamodb/. - Source: Hacker News / 5 months ago
View more

What are some alternatives?

When comparing Datahike and DynamoDB, you can also consider the following products

Datomic - The fully transactional, cloud-ready, distributed database

AWS Lambda - Automatic, event-driven compute service

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Matisse - Matisse is a post-relational SQL database.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.