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ArangoDB VS Apache ORC

Compare ArangoDB VS Apache ORC and see what are their differences

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ArangoDB logo ArangoDB

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

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.
  • ArangoDB Landing page
    Landing page //
    2023-01-20
  • Apache ORC Landing page
    Landing page //
    2022-09-18

ArangoDB features and specs

  • Graph DB

Apache ORC features and specs

  • Efficient Compression
    ORC provides highly efficient compression, which reduces the storage footprint of data and enhances performance by decreasing I/O operations.
  • Columnar Storage
    The columnar storage format significantly improves read performance by allowing for selective access to necessary columns while ignoring others.
  • Predicate Pushdown
    ORC supports predicate pushdown, enabling the query engine to skip over non-relevant data, thus enhancing query performance.
  • Type Richness
    ORC supports complex types (like structs and maps), making it suitable for diverse data storage and query needs.
  • Schema Evolution
    It facilitates seamless schema evolution, allowing easier adjustments to the dataset over time without breaking existing queries.
  • Built-in Indexes
    Indexes such as bloom filters and min/max values are built-in, accelerating query processing by enabling quicker data lookup.

Possible disadvantages of Apache ORC

  • Complexity
    The intricacies of its features may introduce additional complexity in implementation and maintenance, potentially increasing the learning curve.
  • Write Performance
    While ORC is optimized for read-heavy workloads, its write performance can be less efficient compared to other formats like Parquet.
  • Compatibility
    ORC may not be as widely supported as other formats, limiting the choice of tools and environments that can leverage its full capabilities.
  • Compression Overhead
    The process of compressing and decompressing data can introduce a computational overhead, affecting performance in some scenarios.

Analysis of ArangoDB

Overall verdict

  • ArangoDB is indeed a good option for those looking for a flexible, feature-rich, and scalable database solution. It caters to modern applications requiring diverse data representations and complex querying capabilities, particularly when graph functionality is vital. However, the right choice depends on specific project requirements and familiarity with ArangoDBโ€™s features and ecosystem.

Why this product is good

  • ArangoDB is a highly versatile database solution known for its multi-model approach, which supports document, key/value, and graph data models. This flexibility allows for complex data structures and enables developers to use the most suitable model for their specific application needs all within a single database. Additionally, ArangoDB offers robust features such as a powerful query language (AQL), scalability, a flexible architecture, and native support for graph analytics, making it suitable for a wide range of use cases.

Recommended for

  • Developers and organizations needing a multi-model database solution
  • Projects requiring complex data analysis, including graph algorithms
  • Applications that can benefit from a flexible, schema-free data structure
  • Teams looking for scalability and horizontal expansion capabilities
  • Environments with diverse data representation needs where maintaining multiple databases is inefficient

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Apache ORC videos

No Apache ORC videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to ArangoDB and Apache ORC)
Databases
96 96%
4% 4
Big Data
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ArangoDB and Apache ORC

ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).

Apache ORC Reviews

We have no reviews of Apache ORC yet.
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Social recommendations and mentions

Based on our record, ArangoDB should be more popular than Apache ORC. It has been mentiond 6 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.

ArangoDB mentions (6)

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Apache ORC mentions (3)

  • Java Serialization with Protocol Buffers
    The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / almost 3 years ago
  • AWS EMR Cost Optimization Guide
    Data formatting is another place to make gains. When dealing with huge amounts of data, finding the data you need can take up a significant amount of your compute time. Apache Parquet and Apache ORC are columnar data formats optimized for analytics that pre-aggregate metadata about columns. If your EMR queries column intensive data like sum, max, or count, you can see significant speed improvements by reformatting... - Source: dev.to / almost 4 years ago
  • Apache Hudi - The Streaming Data Lake Platform
    The following stack captures layers of software components that make up Hudi, with each layer depending on and drawing strength from the layer below. Typically, data lake users write data out once using an open file format like Apache Parquet/ORC stored on top of extremely scalable cloud storage or distributed file systems. Hudi provides a self-managing data plane to ingest, transform and manage this data, in a... - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing ArangoDB and Apache ORC, you can also consider the following products

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

Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

BlueData - BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.