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OrientDB VS Databricks Unified Analytics Platform

Compare OrientDB VS Databricks Unified Analytics Platform and see what are their differences

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Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

OrientDB logo OrientDB

OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

Databricks Unified Analytics Platform logo Databricks Unified Analytics Platform

One platform for accelerating data-driven innovation across data engineering, data science & business analytics
  • OrientDB Landing page
    Landing page //
    2022-02-03
  • Databricks Unified Analytics Platform Landing page
    Landing page //
    2023-07-11

OrientDB features and specs

  • Graph DB

Databricks Unified Analytics Platform features and specs

  • Scalability
    Databricks is built on Apache Spark, which allows for easy scaling of data processing and analytics operations across large datasets.
  • Integrated Environment
    Provides a unified analytics platform that combines data engineering, data science, and data warehouse capabilities, simplifying workflows.
  • Collaborative Workspace
    Enables collaboration between data engineers, data scientists, and analysts with its interactive notebooks and real-time collaboration features.
  • Lakehouse Architecture
    Combines the best features of data lakes and data warehouses, providing structured transactional data access over unstructured data.
  • Support for Multiple Languages
    Offers support for multiple programming languages such as Python, R, SQL, and Scala, making it versatile for different users.

Possible disadvantages of Databricks Unified Analytics Platform

  • Complexity
    Despite its powerful features, the platform can be complex to set up and manage, particularly for teams unfamiliar with similar environments.
  • Cost
    The platform can become expensive, especially when scaling operations and running large workloads continuously.
  • Learning Curve
    New users might face a steep learning curve, requiring training and practice to use the platform effectively.
  • Vendor Lock-In
    Using proprietary tools and integrations could lead to dependency on Databricks, making it harder to switch to other solutions in the future.
  • Limited Offline Features
    As a cloud-native platform, Databricks relies heavily on internet connectivity, lacking robust offline features for some use cases.

OrientDB videos

+ Add

OrientDB - the 2nd generation of (MultiModel) NoSQL by Luigi Dell'Aquila

More videos:

  • Review - OrientDB Studio Overview
  • Review - OrientDB & Hazelcast: In-Memory Distributed Graph Database

Databricks Unified Analytics Platform videos

No Databricks Unified Analytics Platform videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to OrientDB and Databricks Unified Analytics Platform)

OrientDB

Databricks Unified Analytics Platform

Databases
100 100%
Databases
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Development
37 37%
Development
63% 63

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare OrientDB and Databricks Unified Analytics Platform

OrientDB Reviews

9 Best MongoDB alternatives in 2019
OrientDB is an open source NoSQL multi-model database. It allows organizations to unlock the true power of graph databases without the need to deploy multiple systems to handle other data types. This helps you to increase performance and security while supporting scalability.
Source: www.guru99.com
Top 15 Free Graph Databases
OrientDB is a 2nd Generation Distributed Graph Database with the flexibility of Documents in one product. It can store 220,000 records per second on common hardware. Even for a Document based database, the relationships are managed as in Graph Databases with direct connections among records. OrientDB Community Edition
Source: www.predictiveanalyticstoday.com

Databricks Unified Analytics Platform Reviews

We have no reviews of Databricks Unified Analytics Platform yet.
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Social recommendations and mentions

Databricks Unified Analytics Platform might be a bit more popular than OrientDB. We know about 1 link to it since March 2021 and only 1 link to OrientDB. 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.

OrientDB mentions (1)

Databricks Unified Analytics Platform mentions (1)

  • Should I replicate all our transactional DB to Redshift?
    See more here: https://databricks.com/product/data-lakehouse. Source: about 3 years ago

What are some alternatives?

When comparing OrientDB and Databricks Unified Analytics Platform, you can also consider the following products

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

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

Azure Synapse Analytics - Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.

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