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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. NOSQL Database As A Service
  5. Firebase Realtime Database vs Orchestrate

Firebase Realtime Database vs Orchestrate

OverviewComparisonAlternatives

Overview

Orchestrate
Orchestrate
Stacks5
Followers16
Votes0
Firebase Realtime Database
Firebase Realtime Database
Stacks107
Followers229
Votes7

Orchestrate vs Firebase Realtime Database: 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; Firebase Realtime Database: Store and sync data in real time. 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.

Orchestrate and Firebase Realtime Database can be categorized as "NoSQL Database as a Service" tools.

Some of the features offered by Orchestrate are:

  • Search
  • Geospatial
  • Time-series Events

On the other hand, Firebase Realtime Database provides the following key features:

  • Real time syncing for JSON data
  • Collaborate across devices with ease
  • Build serverless apps

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Detailed Comparison

Orchestrate
Orchestrate
Firebase Realtime Database
Firebase Realtime Database

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.

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.

Search; Geospatial; Time-series Events; Graph; JSON Object Store; 3x Data Replication; Daily Backups; 24 x 365 Support; HTTP/REST Based API;
Real time syncing for JSON data;Collaborate across devices with ease;Build serverless apps;Optimized for offline use;Strong user-based security
Statistics
Stacks
5
Stacks
107
Followers
16
Followers
229
Votes
0
Votes
7
Pros & Cons
No community feedback yet
Pros
  • 7
    Very fast
  • 0
    Casandra
Cons
  • 2
    Poor query
Integrations
No integrations available
C++
C++
iOS
iOS
Unity
Unity
Firebase Authentication
Firebase Authentication
Android OS
Android OS
Cloud Functions for Firebase
Cloud Functions for Firebase

What are some alternatives to Orchestrate, Firebase Realtime Database?

Amazon DynamoDB

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 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

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

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

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

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

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.

restdb.io

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 DocumentDB

Amazon DocumentDB

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.

Amazon SimpleDB

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.

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