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What is Yandex Data Proc?

You decide on the cluster size, node specifications, and various services, while Yandex Data Proc takes care of the setup and configuration of Spark and Hadoop clusters, along with other necessary components. The use of Zeppelin notebooks alongside a user interface proxy enhances collaboration through different web applications. You retain full control of your cluster with root access granted to each virtual machine. Additionally, you can install custom software and libraries on active clusters without requiring a restart. Yandex Data Proc utilizes instance groups to dynamically scale the computing resources of compute subclusters based on CPU usage metrics. The platform also supports the creation of managed Hive clusters, which significantly reduces the risk of failures and data loss that may arise from metadata complications. This service simplifies the construction of ETL pipelines and the development of models, in addition to facilitating the management of various iterative tasks. Moreover, the Data Proc operator is seamlessly integrated into Apache Airflow, which enhances the orchestration of data workflows. Thus, users are empowered to utilize their data processing capabilities to the fullest, ensuring minimal overhead and maximum operational efficiency. Furthermore, the entire system is designed to adapt to the evolving needs of users, making it a versatile choice for data management.

What is Upsolver?

Upsolver simplifies the creation of a governed data lake while facilitating the management, integration, and preparation of streaming data for analytical purposes. Users can effortlessly build pipelines using SQL with auto-generated schemas on read. The platform includes a visual integrated development environment (IDE) that streamlines the pipeline construction process. It also allows for Upserts in data lake tables, enabling the combination of streaming and large-scale batch data. With automated schema evolution and the ability to reprocess previous states, users experience enhanced flexibility. Furthermore, the orchestration of pipelines is automated, eliminating the need for complex Directed Acyclic Graphs (DAGs). The solution offers fully-managed execution at scale, ensuring a strong consistency guarantee over object storage. There is minimal maintenance overhead, allowing for analytics-ready information to be readily available. Essential hygiene for data lake tables is maintained, with features such as columnar formats, partitioning, compaction, and vacuuming included. The platform supports a low cost with the capability to handle 100,000 events per second, translating to billions of events daily. Additionally, it continuously performs lock-free compaction to solve the "small file" issue. Parquet-based tables enhance the performance of quick queries, making the entire data processing experience efficient and effective. This robust functionality positions Upsolver as a leading choice for organizations looking to optimize their data management strategies.

Media

Media

Integrations Supported

AWS IoT SiteWise
Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Apache Zeppelin
Eco
Hadoop
Hive
Matplotlib
NumPy
PuppyGraph
Python
TensorFlow
Yandex Cloud
Yandex DataSphere
pandas
scikit-image

Integrations Supported

AWS IoT SiteWise
Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Apache Zeppelin
Eco
Hadoop
Hive
Matplotlib
NumPy
PuppyGraph
Python
TensorFlow
Yandex Cloud
Yandex DataSphere
pandas
scikit-image

API Availability

Has API

API Availability

Has API

Pricing Information

$0.19 per hour
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Yandex

Date Founded

1997

Company Location

Russia

Company Website

cloud.yandex.com/en/services/data-proc

Company Facts

Organization Name

Upsolver

Date Founded

2014

Company Location

Israel

Company Website

www.upsolver.com

Categories and Features

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

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