Software Alternatives, Accelerators & Startups

OnBase VS Google Cloud Datastore

Compare OnBase VS Google Cloud Datastore and see what are their differences

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.

OnBase logo OnBase

OnBase is an enterprise content management and process management software suite.

Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.
  • OnBase Landing page
    Landing page //
    2021-09-18
  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12

OnBase features and specs

  • Integration Capabilities
    OnBase can integrate with a variety of other software applications, including ERP, CRM, and HR systems, allowing organizations to streamline their operations and reduce data silos.
  • Customization
    The platform offers extensive customization options, enabling organizations to tailor the system to meet their specific needs and workflows.
  • Scalability
    OnBase is scalable, supporting organizations of different sizes, from small businesses to large enterprises, ensuring that it can grow with your organization's needs.
  • Automated Workflows
    The software includes powerful workflow automation tools that can help increase efficiency by automating repetitive tasks and ensuring that documents are routed to the right people.
  • Compliance and Security
    OnBase is designed with compliance and security in mind, featuring robust security measures to protect sensitive information and helping organizations comply with various regulatory requirements.

Possible disadvantages of OnBase

  • Cost
    The initial setup and ongoing maintenance of OnBase can be expensive, which may be a barrier for smaller organizations with limited budgets.
  • Complexity
    While the wide array of features is a strength, it can also make the platform complex to implement and manage, requiring specialized knowledge or additional training for users.
  • Implementation Time
    Deploying OnBase can be time-consuming, particularly for large organizations, as it may require significant planning, customization, and testing before going live.
  • User Interface
    Some users find the interface to be less intuitive compared to other ECM solutions, which can lead to a steeper learning curve and reduced user adoption.
  • Vendor Dependence
    As a proprietary solution, organizations may find themselves dependent on Hyland Software for support, updates, and potential customizations, which can be restrictive.

Google Cloud Datastore features and specs

  • Scalability
    Google Cloud Datastore can automatically scale to handle large amounts of data and high read/write loads, making it suitable for applications with growing data needs.
  • Fully Managed
    As a fully managed service, Google Cloud Datastore eliminates the need for managing servers, software patches, and replication, allowing developers to focus on building applications.
  • High Availability
    Datastore provides strong consistency for reads and writes and is designed to maintain availability even in case of entire data center outages.
  • Flexible Data Model
    The schemaless nature of Datastore allows for a flexible data model that can easily adapt to changes in application requirements.
  • Integration with Google Cloud Platform
    Datastore seamlessly integrates with other Google Cloud Platform services, which simplifies the process of building end-to-end solutions.

Possible disadvantages of Google Cloud Datastore

  • Complex Query Language
    Datastore Query Language (GQL) can be less intuitive compared to SQL, which may pose a learning curve for developers accustomed to traditional relational databases.
  • Eventual Consistency for Queries
    While Datastore offers strong consistency for entity lookups by key, queries must be specifically configured for strong consistency, otherwise they might return eventually consistent data.
  • Cost
    As usage scales, costs can increase, particularly for applications with high write loads or those requiring many transactional operations, which might be a consideration for budget-conscious projects.
  • Limited Relational Capabilities
    Datastore is a NoSQL database, which means it lacks some of the relational features like joins and complex transactions that developers might expect from a SQL database.
  • Index Management
    Managing indexes can become complex, as every query in Datastore requires a corresponding index, and poorly planned indexes can lead to increased storage costs and slower query performance.

OnBase videos

Upgrade to Hyland OnBase 18 - A Review of New Features and Functionality

More videos:

  • Review - OnBase 17 Review - Highlights of New Features
  • Review - OnBase Government Electronic Plan (ePlan) Review

Google Cloud Datastore videos

No Google Cloud Datastore videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to OnBase and Google Cloud Datastore)
Project Management
100 100%
0% 0
Databases
0 0%
100% 100
Office & Productivity
100 100%
0% 0
Relational Databases
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Datastore seems to be more popular. It has been mentiond 7 times since March 2021. 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.

OnBase mentions (0)

We have not tracked any mentions of OnBase yet. Tracking of OnBase recommendations started around Mar 2021.

Google Cloud Datastore mentions (7)

  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called “Django-nonrel” experimented with the idea of using Django’s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / about 1 year ago
  • How to deploy flask app with sqlite on google cloud ?
    In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: about 2 years ago
  • Is Cloud Run a good choice for a portfolio website?
    As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 3 years ago
  • Help! Difference between native and datastore
    Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 3 years ago
  • I'm a dev ID 10 T please help me
    Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 3 years ago
View more

What are some alternatives?

When comparing OnBase and Google Cloud Datastore, you can also consider the following products

Laserfiche - Laserfiche offers powerful document management software solutions that are easy to implement and easy to use.

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

DocuWare - DocuWare is a next-gen document management system that is specially designed for transferring paper-based and digital assets into collective resources.

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

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

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