Software Alternatives & Reviews

Toad for Oracle VS Apache ORC

Compare Toad for Oracle VS Apache ORC and see what are their differences

Toad for Oracle logo Toad for Oracle

Toad is an industry-standard tool for application development.

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.
  • Toad for Oracle Landing page
    Landing page //
    2023-09-22
  • Apache ORC Landing page
    Landing page //
    2022-09-18

Toad for Oracle videos

Getting started With Toad for Oracle - in-depth tutorial

More videos:

  • Review - Toad for Oracle: What's New with Toad?
  • Review - Review Toad for Oracle 2018

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 Toad for Oracle and Apache ORC)
Databases
88 88%
12% 12
Database Management
100 100%
0% 0
Big Data
0 0%
100% 100
MySQL Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache ORC seems to be more popular. It has been mentiond 3 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.

Toad for Oracle mentions (0)

We have not tracked any mentions of Toad for Oracle yet. Tracking of Toad for Oracle recommendations started around Mar 2021.

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 / over 1 year 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 / over 2 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 / almost 3 years ago

What are some alternatives?

When comparing Toad for Oracle and Apache ORC, you can also consider the following products

SQL Developer - Oracle SQL Developer is a free, development environment that simplifies the management of Oracle Database in both traditional and Cloud deployments.

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

phpMyAdmin - phpMyAdmin is a tool written in PHP intended to handle the administration of MySQL over the Web.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.