Software Alternatives & Startups
Register | Login

etcd VS Graphweaver

Compare etcd VS Graphweaver and see what are their differences

AeroDataBox
Aviation and flight API tailored for SMBs and individual developers, offering flight status, schedules, aircraft and airport data, statistics, historical data and more. Seamless REST/web hook integration via API marketplaces at affordable rates. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

etcd logo etcd

A distributed, reliable key-value store for the most critical data of a distributed system

Graphweaver logo Graphweaver

Turn multiple data sources into a single GraphQL API
  • etcd Landing page
    Landing page //
    2021-07-29
  • Graphweaver Landing page
    Landing page //
    2023-08-23

Graphweaver is a GraphQL Gateway that can connect many data sources together to create an API. It can be used to create a headless CMS, an API Gateway, or used as a Backend for mobile apps.

Why?

We consistently find that everyone has lots of sources of truth. You know, CRM holding customer data, accounting systems handling invoices, and more scattered across different SaaS platforms and databases? It's a real pain to sync it all up!

In the past we used to copy data from everywhere to the DB, but that always breaks at some point.

Well, after years of grappling with this issue, we wanted a way to easily build a single GraphQL API in front of all those sources. An API that allows you to execute queries that even span across datasources (give me DB records where customer in CRM name is "Bob"), and also allows you to administer your data all from one place.

That's why we built Graphweaver. We've been using it on our projects for about a year now and think you'll love it too!

Features

📝 Code-first GraphQL API: Save time and code efficiently with our code-first approach. 🚀 Built for Node in Typescript: The power of Typescript combined with the flexibility of Node.js. 🔗 Connect to Multiple Datasources: Seamlessly integrate Postgres, MySql, Sqlite, REST, and more. 🎯 Instant GraphQL API: Get your API up and running quickly with automatic queries and mutations. 🔄 One Command Import: Easily import an existing database with a simple command-line tool.

etcd features and specs

  • Consistency
    etcd uses the Raft consensus algorithm to ensure strong consistency across distributed systems, making it ideal for scenarios where reliable data storage is critical.
  • High Availability
    By distributing data across multiple nodes, etcd ensures high availability and fault tolerance, allowing services to remain operational even if some nodes fail.
  • Simplicity
    etcd offers a simple key-value store interface, making it easy to understand and integrate with other services without requiring complex configurations.
  • Performance
    Optimized for fast reads and writes, etcd can handle large volumes of concurrent requests, making it suitable for high-performance applications.
  • Secure
    etcd provides excellent security features, including SSL/TLS encryption for data in transit and role-based access control to ensure that data access is tightly controlled.

Possible disadvantages of etcd

  • Resource Intensive
    Running etcd, especially in a clustered configuration, can be resource-intensive, requiring significant CPU and memory to ensure optimal performance and reliability.
  • Operational Complexity
    Although etcd itself is simple, managing a distributed etcd cluster can become complex, requiring expertise to configure and maintain properly.
  • Data Volume Limitations
    etcd is not designed as a general-purpose database and has limitations on how much data it can efficiently store, typically up to a few gigabytes per cluster.
  • Write Throughput
    The write throughput of etcd can be a bottleneck under heavy load, as it needs to ensure data consistency across nodes, which can introduce latency.
  • Limited Query Capabilities
    As a key-value store, etcd lacks the advanced querying capabilities of traditional databases, which may limit its use for complex data retrieval operations.

Graphweaver features and specs

  • Integration
    Graphweaver allows for the integration of multiple data sources, providing a unified view and ease of data management.
  • Efficiency
    It enhances the efficiency of data retrieval by using GraphQL, which minimizes data over-fetching.
  • Flexibility
    Graphweaver supports flexible query structures, which can be tailored to specific data needs and requirements.
  • Developer Experience
    Provides a developer-friendly experience with comprehensive documentation and tools to streamline the development process.

Possible disadvantages of Graphweaver

  • Complexity
    The initial setup and configuration can be complex, especially for developers who are not familiar with GraphQL or integrating diverse data sources.
  • Learning Curve
    There might be a steep learning curve for new users who are not accustomed to using GraphQL or related technologies.
  • Resource Intensive
    Integrating many data sources might demand higher computational resources, which could increase operational costs.

etcd videos

+ Add

ETCD in Kubernetes

More videos:

  • Review - Service Discovery Zookeeper vs etcd vs consul أكتشاف الخدمات شرح عربى
  • Review - Episode#11 Working with ETCD - Backup and Restore Operations - Part#1

Graphweaver videos

+ Add

Graphweaver live demo at the Atlassian head-office for SydJS

More videos:

Category Popularity

0-100% (relative to etcd and Graphweaver)

etcd

Graphweaver

Web Servers
100 100%
Web Servers
0% 0
GraphQL
0 0%
GraphQL
100% 100
Web And Application Servers
100 100%
Web And Application Servers
0% 0
API-first CMS
0 0%
API-first CMS
100% 100

User comments

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

Social recommendations and mentions

Based on our record, etcd seems to be a lot more popular than Graphweaver. While we know about 39 links to etcd, we've tracked only 1 mention of Graphweaver. 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.

etcd mentions (39)

  • Global Distributed Consensus: The Missing Piece in Kubernetes
    Kubernetes runs on etcd, which uses the Raft consensus algorithm. It's a proven model for what it was designed to do: keep a single cluster's state perfectly consistent. When you create a deployment or a pod dies, every node in the cluster agrees on the new state of the world almost instantly. - Source: dev.to / 4 months ago
  • A Quick Dive into Kubernetes Operators - Part 1
    However, custom controllers face significant challenges when handling large volumes of data. Kubernetes relies on ETCD for all data storage, which limits scalability, flexibility, and performance for complex or high-volume workloads. What are the main issues? - Source: dev.to / 12 months ago
  • Kubernetes: Kubernetes API, API groups, CRDs, and the etcd
    For storing data in Kubernetes, we have another key component of the Control Plane  —  etcd. - Source: dev.to / about 1 year ago
  • Kubernetes Overview: Container Orchestration & Cloud-Native
    Etcd: A distributed key-value store maintaining cluster state and configuration data. ETCD backup strategies are critical for disaster recovery. - Source: dev.to / about 1 year ago
  • Implementing Resource Versioning in Conveyor CI
    So we have to then take into consideration our data store and investigate if it's able to handle this form of incrementation. Conveyor CI uses etcd, a key-value store, it is reliable and highly performant. As we investigated further into the architecture of etcd, we realized that internally etcd uses Multi-Version Concurrency Control (MVCC) which allows reads at specific revisions of a record or key. This means... - Source: dev.to / about 1 year ago
View more

Graphweaver mentions (1)

  • Getting started creating a web app with multiple data sources? Graphweaver!
    We’re a small dev team based in Sydney and in between client projects we’ve been working on our own open-source tool, Graphweaver. Graphweaver allows you to combine multiple data sources (Databases, Rest APIs, Saas platforms) and expose a single GraphQL API. It’s a bit like Hasura or Step Zen but with more of a code-first flexibility. It can take your database and with a single import command, generate your code... Source: about 3 years ago

What are some alternatives?

When comparing etcd and Graphweaver, you can also consider the following products

Apache ZooKeeper - Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

Docker Hub - Docker Hub is a cloud-based registry service

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

GraphQL Hive - Open Source GraphQL Federation Platform

Loading...