15 BEST Data Warehouse Tools (Open Source) in 2022

A Data Warehouse is a collection of software tools that help analyze large volumes of disparate data from varied sources to provide meaningful business insights. A Data warehouse is typically used to collect and analyze business data from heterogeneous sources.

There are many Data Warehousing tools available in the market. It becomes difficult to select Top Data Warehouse tools for your project. Following is a curated Data Warehouse tools list with most popular open-source and commercial Data Warehousing tools & software with key features and download links.

Best Data Warehousing Tools & Software: (Open Source & Paid)

Name Platform Free Trial Link
CData Sync Cloud, Windows, Linux and Mac 30-Day Free Trial Learn More
Integrate.io Cloud, Web-Based, Windows, and Linux 7-Day Free Trial Learn More
QuerySurge Windows and Linux 15-Day Free Trial Learn More
Astera DW Builder Windows, Mac and Linux 14-Day Free Trial Learn More
BiG EVAL Web-Based 14-Day Free Trial Learn More

1) CData Sync

Easily replicate all of your Cloud/SaaS data to any database or data warehouse in minutes. CData Sync is an easy-to-use data pipeline that helps you consolidate data from any application or data source into your Database or Data Warehouse of choice. Connect the data that powers your business with BI, Analytics, and Machine Learning.

#1 Top Pick
CData Sync
5.0

Customization: Yes

Data Privacy & Governance: Yes

Free Trial: 30 Days Free Trial (No Credit Card Required)

Visit CData Sync

Features:

  • From: More than 100+ enterprise data sources including popular CRM, ERP, Marketing Automation, Accounting, Collaboration, and more.
  • Automated intelligent incremental data replication
  • Runs anywhere – On-premise or in the Cloud
  • Supports cloud data warehouses include Amazon Redshift, Snowflake, Salesforce and Big Query
  • It provides customer support via Chat, Email and Phone
  • CData Sync Supports compliance standards such as GDPR, PCI DSS, ISO 3166-1 and ISO 27001:2013
  • This tool also provide Real-time Change Data Capture, Advanced ETL and ELT transformations, Incremental loading, Scheduling and monitoring and APIs and scripting
  • It supports 250+ data sources
  • Integrate with SQL Server, MySQL and Oracle
  • Supports output format such as PDF, DOC, RTF, ODT, CSV and HTML
  • Supported Platforms: Cloud, Windows, Linux and Mac
  • Price: Plans start at $3999 a Year
  • Free Trial: 30 Days Free Trial (No Credit Card Required)
πŸ‘ Pros πŸ‘Ž Cons
You can easily configure your connections with the program Advanced features aren’t documented
It is easy to replicate data into any warehouse in just a few minutes. Upgrade notifications are lacking.
Data can be replicated from more than 150 enterprise data sources  
A standard enterprise-class security features  

Visit CData Sync >>

30-Day Free Trial


2) Integrate.io

Integrate.io is a Data Warehouse Integration Platform designed for e-commerce. Integrate.io helps e-commerce companies build a customer 360 view, generating a single source of truth for data driven decisions, improving customer insights through better operational insights, and increasing ROI.

#2
Integrate.io
4.9

Customization: Yes

Data Privacy & Governance: Yes

Free Trial: 14 Days Free Trial (No Credit Card Required)

Visit Integrate.io

Features:

  • Powerful, low-code data transformation offering.
  • Pull in data from any source that has a RestAPI. If no RestAPI exists, then you can create your own with Integrate.io’s API Generator.
  • Send data to databases, on-prem, data warehouses, NetSuite, and Salesforce.
  • Integrate.io connects to all major E-commerce providers such as Shopify, NetSuite, BigCommerce, and Magento.
  • Meet all compliance requirements with security features like: field-level data encryption, SOC II certification, GDPR compliance, and data masking.
  • Supports cloud data warehouses include Amazon S3, Google Cloud Storage, HDFS, Microsoft Azure Blob Storage, MongoDB Atlas, etc.
  • It provides customer support via Live Chat, Email and Phone
  • Integrate.io Supports compliance standards such as SOC 2, ISO 27001, SOC 1 and SOC 2/SSAE 16/ISAE 3402 (Previously SAS 70 Type II)
  • This tool also provide Build a Customer 360 view, Easy Data Transformations, Simple Workflow Creation for Defining Dependencies Between Tasks, REST API, Salesforce to Salesforce Integrations, Data Security and Compliance, Diverse Data Source and Destination Options and Excellent Customer Support
  • It supports 100+ data sources
  • Integrate with SOC 2, ISO 27001, SOC 1 and SOC 2/SSAE 16/ISAE 3402 (Previously SAS 70 Type II)
  • Supports output format such as PDF, HTML, images and CSV
  • Supported Platforms: Cloud, Web-Based, Windows, and Linux
  • Price: Request a Quote from Sales
  • Free Trial: 14 Days Free Trial (No Credit Card Required)
πŸ‘ Pros πŸ‘Ž Cons
Responsive and quick customer service Error logs aren’t always helpful
It is easier to use and more flexible.  
Implementation with low-code  

Visit Integrate.io >>

14-Day Free Trial


3) QuerySurge

QuerySurge is ETL testing solution developed by RTTS. It is built specifically to automate the testing of Data Warehouses & Big Data. It ensures that the data extracted from data sources remains intact in the target systems as well.

#3
QuerySurge
4.8

Customization: Yes

Data Privacy & Governance: Yes

Free Trial: 30 Days Free Trial

Visit QuerySurge

Features:

  • Improve data quality & data governance
  • Accelerate your data delivery cycles
  • Helps to automate manual testing effort
  • Provide testing across the different platform like Oracle, Teradata, IBM, Amazon, Cloudera, etc.
  • It speeds up testing process up to 1,000 x and also providing up to 100% data coverage
  • It integrates an out-of-the-box DevOps solution for most Build, ETL & QA management software
  • Deliver shareable, automated email reports and data health dashboards
  • Supports cloud data warehouses include Amazon S3, Google Drive, Microsoft OneDrive and Dropbox
  • It provides customer support via Chat, Contact Form and Email
  • This tool also provide Files & APIs, Big Data & NoSQL, Collaboration, CRM & ERP, Accounting, Marketing and eCommerce
  • It supports 50+ data sources
  • Integrate with MySQL, Nonstop SQL, Oracle and PostgreSQL
  • Supports output format such as Excel, CSV and XML
  • Supported Platforms: Windows and Linux
  • Price: Plans start at $492 a Year
  • Free Trial: 30 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
The software integrates with a wide range of leading test management solutions. A number of features are locked behind premium subscriptions.
It provides a significant return on investment (ROI). A large dataset may take time to process, causing delays in automated pipelines.
You can test on more than 200 different platforms  
Speed up the data quality process  

Visit QuerySurge >>

30-Day Free Trial


4) Astera DW Builder

Astera DW Builder is an end-to-end data warehousing tool that enables business users to design, develop, and deploy high-volume data warehouses using a metadata-driven approach. The solution offers a comprehensive data model designer and robust ETL/ELT capabilities that simplify deployment of a data warehouse on-premises or in the cloud.

#4
Astera DW Builder
4.7

Customization: Yes

Data Privacy & Governance: Yes

Free Trial: 14 Days Free Trial

Visit DW Builder

Features:

  • Built-in connectors for several on-premises industry leading databases, including SQL Server, Oracle, SAP HANA, etc., and cloud services such as Azure Cloud and Amazon.
  • Design your warehouse schema using different data modelling patterns, such as star schema, 3NF, and data vault.
  • Test and troubleshoot your data warehouse prior to deployment through a data model verification module.
  • Publish your data model through OData protocol to enable real-time querying.
  • Automate ETL operations through job scheduling and workflow automation.
  • Supports cloud data warehouses include Amazon Redshift, Microsoft Azure Synapse Analytics, Snowflake, and others.
  • It provides customer support via Phone, Chat, Contact Form and Email
  • Astera DW Builder Supports compliance standards such as CCPA, GDPR, HIPAA, EDI 179 and ISO-8601
  • This tool also provide Accessibility, Scalability, Elasticity, More Data Storage, Improved Disaster Recovery, Data Cleansing, Data Transformation and Loading Business Intelligence and Data Analysis
  • It supports 40+ data sources
  • Integrate with SQL Server, Access, MySQL and PostgreSQL
  • Supports output format such as Excel and CSV
  • Supported Platforms: Windows, Mac and Linux
  • Price: Request a Quote from Sales
  • Free Trial: 14 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
An easy-to-use tool for data transformation without coding A workflow can take hours to process a large dataset
The connectors are easily dragged and dropped Changes in data types and ranges are difficult to accommodate
Easy creation of reports  
An enhanced access to information and data.  
Provide intelligent data mapping services  

Visit DWBuilder >>

14-Day Free Trial


5) BiG EVAL

BiG EVAL leverages the value of enterprise data by continuously validating and monitoring information quality. It also automates testing tasks during development. The unique automation approach and the simple user interface guarantee same-day-benefits.

#5
BiG EVAL
4.5

Customization: Yes

Data Privacy & Governance: Yes

Free Trial: 14 Days Free Trial

Visit BiG EVAL

Features:

  • Autopilot data quality measuring and testing, driven by meta data.
  • Fully customizable algorithms, rules and test behavior.
  • Gallery with hundreds of best practices validation templates ready to be used by you.
  • Deep insight analysis with clear dashboards and alerting processes.
  • Integration with hundreds of tools (e.g. Jira, ServiceNow, Slack, Teams …).
  • Embeddable into DataOps processes and DevOps CI/CD flows.
  • Hundreds of connectors to any kind of data (RDBMS, APIs, Flatfiles, Business applications, SaaS …).
  • Supports cloud data warehouses include Dynamics 365, Azure Data Lake, REST API and Google Cloud Platform
  • It provides customer support via Contact Form and Chat
  • BiG EVAL Supports compliance standards such as GDPR
  • This tool also provide Testcase Organization, Scripting, Analysis, Extensions, Alerts, Security, Migrations, Code Versioning and Audit Trail
  • It supports 10+ data sources
  • Integrate with MySQL, Oracle, PostgresSQL, SQL Server, Azure SQL Database, HBase and mongoDB
  • Supports output format such as Excel, JSON, PDF, XLSX and CSV
  • Supported Platforms: Web-Based
  • Price: Plans start at $99 a month. 8% Discount on Yearly Payment.
  • Free Trial: 14 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
In-memory scripting and rules engine with high performance. There are limited options in the free version
A powerful tool that can be used to test and manage the quality of the data. Lack of customer support
The tool can be embedded into ticket systems, DevOps CD/CI flows, etc.  
This will help to maximize the coverage of the tests.  
Automate metadata-based testing from a data schema or metadata repository  

Visit BiG EVAL >>

14-Day Free Trial


6) Oracle Autonomous Database

Oracle data warehouse software is a collection of data which is treated as a unit. The purpose of this database is to store and retrieve related information. It helps the server to reliably manage huge amounts of data so that multiple users can access the same data.

Oracle

Features:

  • Distributes data in the same way across disks to offer uniform performance
  • Works for single-instance and real application clusters
  • Offers real application testing
  • Common architecture between any Private Cloud and Oracle’s public cloud
  • Hi-Speed Connection to move large data
  • Works seamlessly with UNIX/Linux and Windows platforms
  • It provides support for virtualization
  • Allows connecting to the remote database, table, or view
  • Supports cloud data warehouses include Amazon S3, Microsoft Azure, etc.
  • It provides customer support via Chat and Phone
  • Oracle Autonomous Database Supports compliance standards such as ISO 8601, ISO/IEC 9075-1, ISO-3166, SOC 1, SOC 2 and GDPR
  • This tool also provide Auto-scaling, Auto-securing, Auto-tuning, Auto-backups, Auto-repairing, Auto-patching, Autonomous warehouse management, self-service data tools and analytics, Comprehensive data and privacy protection
  • It supports 20+ data sources
  • Integrate with MySQL and Oracle
  • Supports output format such as XML, JSON, CSV, HTML, PDF, TXT and DOC
  • Supported Platforms: Cloud-based
  • Price: Request a Quote from Sales
  • Free Trial: 30 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
Simple and easy-to-use Initial setup of the system was quite complex
A good customer support system Monitoring via Oracle Enterprise Manager is not available
Automate data protection and security  
Faster, simpler, and more efficient transactions  

Download Link: https://www.oracle.com/autonomous-database/autonomous-data-warehouse/


7) Amazon RedShift

Amazon Redshift is an easy to manage, simple, and cost-effective data warehouse tool. It can analyze almost every type of data using standard SQL.

Amazon RedShift

Features:

  • No Up-Front Costs for its installation
  • It allows automating most of the common administrative tasks to monitor, manage, and scale your data warehouse
  • Possible to change the number or type of nodes
  • Helps to enhance the reliability of the data warehouse cluster
  • Every data center is fully equipped with climate control
  • Continuously monitors the health of the cluster. It automatically re-replicates data from failed drives and replaces nodes when needed
  • Supports cloud data warehouses include Amazon S3
  • It provides customer support via Contact Form and Chat
  • Amazon RedShift Supports compliance standards such as PCI-DSS, HIPAA/HITECH, FedRAMP, GDPR, FIPS 140-2, and NIST 800-171
  • This tool also provide Easy analytics, Analyze all your data, Performance at any scale, Most secure and compliant
  • It supports 10+ data sources
  • Integrate with PostgreSQL, SQL Server, and MySQL
  • Supports output format such as TXT, PDF, XML, CSV , TSV , CLF , ELF , and JSON
  • Supports cloud data warehouses include Amazon S3
  • Supported Platforms: Cloud-based
  • Price: Request a Quote from Sales
  • Free Trial: 60 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
It is fast and widely adopted.  
An easy-to-use administration system. This is not a multi-cloud solution.
It is capable of handling large databases with its ability to scale Requires a good understanding of the Sort and Dist keys
It has a massive storage capacity There is limited support for parallel uploads
It offers a consistent backup for your data  
A transparent and competitive pricing structure  

Download Link: https://aws.amazon.com/redshift/


8) Domo

Domo is a cloud-based Data warehouse management tool that easily integrates various types of data sources, including spreadsheets, databases, social media and almost all cloud-based or on-premise Data warehouse solutions.

Domo

Features:

  • Help you to build your dream dashboard
  • Stay connected anywhere you go
  • Integrates all existing business data
  • Helps you to get true insights into your business data
  • Connects all of your existing business data
  • Easy Communication & messaging platform
  • It provides support for ad-hoc queries using SQL
  • It can handle most concurrent users for running complex and multiple queries
  • Supports cloud data warehouses include SAP, snowflake, Google Analytics, Amazon S3, hadoop, Oracle, salesforce and MySQL
  • It provides customer support via Chat, Contact Form, Email and Phone
  • Domo Supports compliance standards such as GDPR, HIPAA, SOC 1/2 and ISO
    This tool also provide Data Sharing & Embedded Analytics, Self-service Analytics, Data Sharing & Embedded Analytics
  • Integrate, Visualize, Data Apps, Cloud, Security and Governance
  • It supports 1000+ data sources
  • Integrate with MySQL and MongoDB
  • Supports output format such as ODT, CSV, XLS, XML and JSON
  • Supported Platforms: Windows, Mac and Linux
  • Price: Request a Quote from Sales
  • Free Trial: 30 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
A powerful tool for the ETL and visualization of data. DOMO is very costly compared to other tools
It is easy to access The data from Domo is hard to extract
This is a cloud-native platform  
Connect Domo to any data source, physical or virtual  
Indicators of trends and problems  

Download Link: https://www.domo.com/product


9) SAP

SAP is an integrated data management platform, to maps all business processes of an organization. It is an enterprise level application suite for open client/server systems. It is one of the best data warehouse tools that has set new standards for providing the best business information management solutions.

SAP

Features:

  • It provides highly flexible and most transparent business solutions
  • The application developed using SAP can integrate with any system
  • It follows modular concept for the easy setup and space utilization
  • You can create a Database system that combines analytics and transactions. These next next-generation databases can be deployed on any device
  • Provide support for On-premise or cloud deployment
  • Simplified data warehouse architecture
  • Integration with SAP and non-SAP applications
  • Supports cloud data warehouses include Google Cloud Storage, Azure Data Lake (ADL), Local File System [File), Google Cloud Storage (GCS), Hadoop File System (HDFS), Amazon S3, Microsoft Azure Blob Storage (WASB) and WebHDFS
  • It provides customer support via Chat, Contact Form and Phone
  • SAP Supports compliance standards such as ISO/IEC 27001, SOC, ISO 9001, ISO 22301, ISO/IEC 27018 and ISO/IEC 27017
  • This tool also provide Business Semantic Service, Secure Workspaces, Reuse of Existing Investments, Third-Party Content, Customer Relationship Management, Project Management, Procurement, Supply Chain Management, Industry-Specific Functionality and Localization
  • Integrate with MySQL and MongoDB
  • Supports output format such as PDF, XSF, XML, HTML, PCL and TXT
  • Supported Platforms: Windows, Mac and Linux
  • Price: Plans start at $19 a month.
  • Free Trial: 14 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
SAP DWC could be a cost-effective option SAP Data Warehouse Cloud does not support application development
There is rich connectivity support for most SAP sources This feature does not support queries.
Designed to work best with SAP applications  
A fully featured cloud-based data warehouse  

Download Link: https://www.sap.com/india/products/data-warehouse-cloud.html


10) Informatica

Informatica PowerCenter is Data Integration tool developed by Informatica Corporation. The tool offers the capability to connect & fetch data from different sources.

Informatica

Features:

  • It has a centralized error logging system which facilitates logging errors and rejecting data into relational tables
  • Build in Intelligence to improve performance
  • Limit the Session Log
  • Ability to Scale up Data Integration
  • Foundation for Data Architecture Modernization
  • Better designs with enforced best practices on code development
  • Code integration with external Software Configuration tools
  • Synchronization amongst geographically distributed team members
  • Supports cloud data warehouses include Amazon Redshift Workbook, Google Drive and Dropbox
  • It provides customer support via Chat, Contact Form and Phone
  • Informatica Supports compliance standards such as AICPA SOC 1, AICPA SOC 2, GDPR, ISO 8859-1, ISO 639 and ISO/IEC 19770-2
  • This tool also provide Optimization Engine, Task flow orchestration, Multi-cloud support, Codeless advanced integration, Intelligent structure discovery, API Creation and Management, Cloud B2B Gateway, Cloud Data Warehouse, Cloud Data Quality, Cloud Mass Ingestion, Cloud Integration Hub, Business Process Automation, Real-Time Data Integration, Application Integration and Hyperautomation and Consumption-based pricing
  • It supports 100+ data sources
  • Integrate with Microsoft SQL Server, Oracle, IBM DB2, PostgreSQL and ODBC
  • Supports output format such as PDF, HTML, Microsoft Excel, Text, RTF and XML
  • Supported Platforms: Microsoft Windows, Linux, Debian, and Mac OS
  • Price: Request a Quote from Sales.
  • Free Trial: 30 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
Faster and more cost-effective There is a lack of sorting functionality in the Workflow Monitor
Data Integration with the Cloud The deployment process is a bit complicated.
The ability to access a wide range of data sources Lack of a possibility to do loops within informatica workflows.
Load stabilization and parallel processing  
Integration with standard APIs and tools that are easy to use  
The quality of technical support provided by the company  

Download link: https://www.informatica.com/products/cloud-data-integration.html


11) Talend Open Studio

Open Studio is an open source free data warehousing tool developed by Talend. It is designed to convert, combine and update data in various locations. This tool provides an intuitive set of tools which make dealing with data lot easier. It also allows big data integration, data quality, and master data management.

Talend Open Studio

Features:

  • It supports extensive data integration transformations and complex process workflows
  • It is one of the best open source data warehousing tools that offer seamless connectivity for more than 900 different databases, files, and applications
  • This data warehouse open source tool can manage the design, creation, testing, deployment, etc of integration processes
  • Synchronize metadata across database platforms
  • Managing and monitoring tools to deploy and supervise the jobs
  • Supports cloud data warehouses include Google Cloud Storage
  • It provides customer support via Contact Form and Chat
  • Talend Open Studio Supports compliance standards such as PCI DSS, GDPR, ISO/IEC 27001 and ISO-8859-1
  • This tool also provide Resolve issues before they occur, Take control of your supply chain and Build better business analytics
  • It supports 140+ data sources
  • Integrate with MS-SQL, Oracle, PostgreSQL, Sybase and SQLite
  • Supports output format such as PDF, HTML and CSV
  • Supports cloud data warehouses include Google Cloud Storage
  • Supported Platforms: Windows, Mac and Linux
  • Price: Request a Quote from Sales.
  • Free Trial: 14 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
An easy-to-use drag-and-drop interface for creating complex applications Integration with some data sources can be challenging
It is easy to connect to databases on different platforms. Small-scale deployments in SMB environments are less suitable
It can be used for both qualitative and quantitative metrics.  
There are advanced scheduling and monitoring features available in the tool.  
Integration with standard APIs and tools that are easy to use  
The quality of technical support provided by the company  

Download Link: https://www.talend.com/products/talend-open-studio/


12) The Ab Initio software

The Ab Initio is a data analysis, batch processing, and GUI based parallel processing data warehousing tool. It is commonly used to extract, transform and load data.

The Ab Initio software

Features:

  • Meta data management
  • Business and Process Metadata management
  • Ability to run, debug Ab Initio jobs and trace execution logs
  • Manage and run graphs and control the ETL processes
  • Components can execute simultaneously on various branches of a graph
  • Supports cloud data warehouses include Snowflake, Redshift, Synapse, RDS Aurora, BigQuery, AWS, Google Cloud, Microsoft Azure and Oracle Cloud
  • It provides customer support via Email and Phone
  • The Ab Initio software Supports compliance standards such as HIPAA and GDPR
  • This tool also provide Data Processing Platform, Cloud Native, Real-Time Digital Enablement, Futureproofing & Legacy Modernization, Searching, Scoring & Matching, Rules-Based Matching, and more.
  • It supports large number of data sources
  • Integrate with XML, JSON, protobuf, COBOL, ASN.1, EDIFACT, SWIFT, ISO20022, ICD10, and HL7
  • Supports output format such as XML, JSON and Excel
  • Supported Platforms: Windows and Linux
  • Price: Request a Quote from Sales
πŸ‘ Pros πŸ‘Ž Cons
ETL tool that can be used to process big data in a fast and effective way It is an expensive tool
Error handling takes much less time There are no training materials provided by the company.
It is easy to maintain There is no native scheduler built into the application
Ease of Debugging  
It has a user-friendly interface  

Download Link: https://www.abinitio.com/en/


13) TabLeau

Tableau Server is an online Data warehousing with 3 versions Desktop, Server, and Online. It is secure, shareable and mobile friendly ETL data warehouse technology solution.

TabLeau

Features:

  • It is one of the best open source data warehouse tools that connects to any data source securely on-premise or in the cloud
  • Ideal tool for flexible deployment
  • Big data, live or in-memory
  • Designed for mobile-first approach
  • Securely Sharing and collaborating Data
  • Centrally manage metadata and security rules
  • Powerful management and monitoring
  • Get maximum value from your data with this business analytics platform
  • Share and collaborate in the cloud
  • Tableau seamlessly integrates with existing security protocols
  • Supports cloud data warehouses include Google Drive and Dropbox
  • It provides customer support via Email
  • TabLeau Supports compliance standards such as ISO 527, ISO-27001 and GDPR
  • This tool also provide Data Stories, Autosave in the browser, In-product Exchange, Advance Management for Tableau Cloud
  • It supports numerous data sources
  • Integrate with MySQL, MongoDB, Oracle and PostgreSQL
  • Supports output format such as XML, Excel and PDF
  • Supported Platforms: Windows and Mac
  • Price: Request a Quote from Sales
  • Free Trial: Life Time Free Basic Plan
πŸ‘ Pros πŸ‘Ž Cons
Very fast and easy to create visualizations Relatively high cost
Good customer support No change management or versioning
Data Interpreter Story-telling ability Importing custom visualization is a bit difficult.
Tableau offers a feature of visualization  
It helps you to handle a large amount of data  

Download Link: https://public.tableau.com/en-us/s/download


14) Pentaho

Pentaho is a Data Warehousing and Business Analytics Platform. It is one of the best data warehouse technologies that has a simplified and interactive approach which empowers business users to access, discover and merge all types and sizes of data.

Pentaho

Features:

  • Enterprise platform to accelerate the data pipeline
  • Community Dashboard Editor allows the fast and efficient development and deployment
  • Big data integration without a need for coding
  • Simplified embedded analytics
  • Visualize data with custom dashboards
  • Operational reporting for mongo dB
  • Platform to accelerate the data pipeline
  • Supports cloud data warehouses include Google Drive and Dropbox
  • It provides customer support via Contact Form and Phone
  • Pentaho Supports compliance standards such as PCI DSS and GDPR
  • This tool also provide Storage Virtualization Operating System RF, In-System Replication software, Remote Replication software, High availability with global-active device, Data Mobility software, Data-at-rest encryption, CLI and API integration and Storage management software
  • It supports 40+ data sources
  • Integrate with SQL Server, MySQL, Oracle and PostgreSQL
  • Supports output format such as PDF, HTML, Excel, CSV, RTF and XML
  • Supported Platforms: Windows and Linux
  • Price: Request a Quote from Sales
  • Free Trial: 30 Days Free Trial
πŸ‘ Pros πŸ‘Ž Cons
Provides an easy-to-use interface Much slower tool evolution compared to other BI tools.
The capability of running on the Hadoop cluster Pentaho Business analytics offers a limited number of components.
Live technical support is available 24×7  
Flexible and native integration support for big data  

Download now: https://www.hitachivantara.com/en-us/solutions/modernize-digital-core/data-modernization/data-lakes-data-warehouses.html


15) BigQuery

Google’s BigQuery is an enterprise-level data warehousing tool. It is one of the best DWH tools that reduces the time for storing and querying massive datasets by enabling super-fast SQL queries. It also controls access to both the project and also offering the feature of view or query the data.

BigQuery

Features:

  • Offers flexible Data Ingestion
  • Read and write data in via Cloud Dataflow, Hadoop, and Spark.
  • Automatic Data Transfer Service
  • Full control over access to the data stored
  • Easy to read and write data in BigQuery via Cloud Dataflow, Spark, and Hadoop
  • BigQuery provides cost control mechanisms
  • Supports cloud data warehouses include Netezza, Oracle, Redshift, Teradata, Snowflake to, Spark, TensorFlow, Dataflow, Apache Beam, MapReduce, Pandas, and scikit-learn
  • It provides customer support via Chat, Phone and Contact Form
  • BigQuery Supports compliance standards such as SOC 2, β€ŽISO/IEC 27001, PCI DSS, β€ŽHipaa and β€ŽFedRAMP
  • This tool also provide ML and predictive modeling with BigQuery ML, Multicloud data analysis with BigQuery Omni, Interactive data analysis with BigQuery BI Engine, Geospatial analysis with BigQuery GIS, Serverless, and more.
  • It supports 5 data sources
  • Integrate with MySQL, PostgreSQL, and SQL Server
  • Supports output format such as CSV, JSON, HTML, PDF, GIF, TIFF, JPEG, PNG and BMP
  • Supported Platforms: Android, iOS, Mac, Linux and Windows
  • Price: Request a Quote from Sales
  • Free Trial: Life Time Free Basic Plan
πŸ‘ Pros πŸ‘Ž Cons
For long-running queries, BigQuery performs much better It can be confusing to use several SQL dialects
The automated backup and restore of data The lack of support for updates and deletions
Almost all data sources are natively integrated. Limitations regarding the exporting of data
There are no limits to the size of the storage or the processing power  
It is very affordable to use BigQuery  
BigQuery supports low latency streaming  

Download now: https://cloud.google.com/bigquery/

FAQ

❓ What is a Data Warehouse?

A Data Warehousing is a central repository of the data integrated from various sources. Data Warehouse is considered as a core component for business intelligence, which stores current and historical data into one place for creating analytical reports. The goal is to derive profitable insights from collected data.

πŸ’» What are the Best Data Warehouse Tools?

Here are the best data warehousing tools:

⚑ What is Data Warehousing Tools?

Data Warehousing Tools are the software components used to perform various operations on a large volume of data. Data Warehousing tools are used to collect, read, write, and migrate large data from different sources. Data warehouse tools also perform various operations on databases, data stores, and data warehouses like sorting, filtering, merging, aggregation, etc.

βœ… Which factors should you consider while selecting a Data Warehouse Software?

We should consider the following factors while selecting a Data Warehouse Software:

  • Functionalities offered
  • Performance and Speed
  • Scalability and Usability features
  • Security and Reliability
  • Integration options
  • Data Types supported
  • Backup and Recovery support for data
  • Whether the software is Cloud-based or On-premise