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What is WANdisco?

Since its introduction in 2010, Hadoop has become an essential part of the data management landscape. Over the last ten years, many companies have adopted Hadoop to improve their data lake infrastructures. Although Hadoop offered a cost-effective method for storing large volumes of data in a distributed fashion, it also introduced various challenges. Managing these systems required specialized IT expertise, and the constraints of on-premises configurations limited the ability to scale according to changing demand. The complexities of overseeing these on-premises Hadoop setups and the resulting flexibility issues are more effectively addressed with cloud-based solutions. To mitigate potential risks and expenses associated with data modernization efforts, many organizations have chosen to optimize their cloud data migration strategies using WANdisco. Their LiveData Migrator functions as a fully self-service platform, removing the necessity for any WANdisco knowledge or assistance. This strategy not only streamlines the migration process but also enables companies to manage their data transitions more effectively. Ultimately, embracing cloud solutions can lead to better resource allocation and more agile data management practices.

What is IBM Db2 Big SQL?

IBM Db2 Big SQL serves as an advanced hybrid SQL-on-Hadoop engine designed to enable secure and sophisticated data queries across a variety of enterprise big data sources, including Hadoop, object storage, and data warehouses. This enterprise-level engine complies with ANSI standards and features massively parallel processing (MPP) capabilities, which significantly boost query performance. Users of Db2 Big SQL can run a single database query that connects multiple data sources, such as Hadoop HDFS, WebHDFS, relational and NoSQL databases, as well as object storage solutions. The engine boasts several benefits, including low latency, high efficiency, strong data security measures, adherence to SQL standards, and robust federation capabilities, making it suitable for both ad hoc and intricate queries. Currently, Db2 Big SQL is available in two formats: one that integrates with Cloudera Data Platform and another offered as a cloud-native service on the IBM Cloud Pak® for Data platform. This flexibility enables organizations to effectively access and analyze data, conducting queries on both batch and real-time datasets from diverse sources, thereby optimizing their data operations and enhancing decision-making. Ultimately, Db2 Big SQL stands out as a comprehensive solution for efficiently managing and querying large-scale datasets in an increasingly intricate data environment, thereby supporting organizations in navigating the complexities of their data strategy.

Media

Media

Integrations Supported

APERIO DataWise
Alibaba Cloud
Amazon Web Services (AWS)
Databricks
Google Cloud Platform
IBM Cloud
Microsoft Azure
Oracle Cloud Infrastructure

Integrations Supported

Cleo Integration Cloud
Cloudera
Cloudera Data Science Workbench
Hadoop
IBM Cloud Pak for Data
IBM Db2
Kubernetes
QuerySurge
SQL

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard 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
Online Training
On-Site Training

Company Facts

Organization Name

WANdisco

Date Founded

2005

Company Location

United States

Company Website

www.wandisco.com/use-cases/cloud-migration

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/db2-big-sql

Categories and Features

Cloud Migration

Not specified

Data Integration

Not specified

Categories and Features

Big Data

Not specified

Query Engines

Not specified

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