Amazon DocumentDB vs Orchestrate

Overview

Orchestrate

Stacks5

Followers16

Votes0

Amazon DocumentDB

Stacks72

Followers64

Votes0

Orchestrate vs Amazon DocumentDB: What are the differences?

Orchestrate: Database as a Service. Add Search, Time-Ordered Events, Geospatial or Graph Queries Fast with a REST API. Orchestrate is a managed database service that delivers a single access point to full-text search, time-ordered events, geospatial and graph queries through a REST API. It allows developers to build complete apps or add features to existing ones fast, without the operational burden of deploying and managing multiple databases themselves; Amazon DocumentDB: Fast, scalable, highly available MongoDB-compatible database service. Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.

Orchestrate and Amazon DocumentDB can be primarily classified as "NoSQL Database as a Service" tools.

Some of the features offered by Orchestrate are:

Search
Geospatial
Time-series Events

On the other hand, Amazon DocumentDB provides the following key features:

MongoDB-compatible
Fully managed
Performance at scale

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Detailed Comparison

Orchestrate	Amazon DocumentDB
Orchestrate is a managed database service that delivers a single access point to full-text search, time-ordered events, geospatial and graph queries through a REST API. It allows developers to build complete apps or add features to existing ones fast, without the operational burden of deploying and managing multiple databases themselves.	Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.
Search; Geospatial; Time-series Events; Graph; JSON Object Store; 3x Data Replication; Daily Backups; 24 x 365 Support; HTTP/REST Based API;	MongoDB-compatible;Fully managed;Performance at scale
Statistics
Stacks 5	Stacks 72
Followers 16	Followers 64
Votes 0	Votes 0
Pros & Cons
No community feedback yet	Pros 0 Easy Setup 0 Scalable 0 Storage elasticity

What are some alternatives to Orchestrate, Amazon DocumentDB?

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

Azure Cosmos DB

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

Google Cloud Datastore

Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.

CloudBoost

CloudBoost.io is a database service for the “next web” - that not only does data-storage, but also search, real-time and a whole lot more which enables developers to build much richer apps with 50% less time saving them a ton of cost and helping them go to market much faster.

Firebase Realtime Database

It is a cloud-hosted NoSQL database that lets you store and sync data between your users in realtime. Data is synced across all clients in realtime, and remains available when your app goes offline.

restdb.io

RestDB is a NoSql document oriented database cloud service. Data is accessed as JSON objects via HTTPS. This gives great flexibility, easy system integration and future compatibility.

Amazon SimpleDB

Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.