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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.
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.
CData Sync, supporting over 250 data sources, seamlessly integrates with SQL Server, MySQL, and Oracle. Its versatility extends to output formats like DOC, CSV, RTF, ODT, and HTML, making it compatible with Windows, Mac, and Linux platforms. Starting at $3999 a year, with the 30-day free trial.
#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:
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
Supported Platforms: Cloud, Windows, Linux and Mac
Price: Plans start at $3999 a Year
Free Trial: 30 Days Free Trial (No Credit Card Required)
👍 Pros 👎 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
30-Day Free Trial
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.
QuerySurge, a cross-platform tool for Teradata, IBM, Oracle, Amazon, and Cloudera, accelerates testing by up to 1,000x and offers full data coverage. It incorporates an out-of-the-box DevOps solution for most ETL & QA management software and provides shareable, automated email reports with data health dashboards.
QuerySurge, catering to Files & APIs, Big Data & NoSQL, Collaboration, CRM & ERP, Accounting, Marketing, and eCommerce, integrates with over 50 data sources like MySQL, Oracle, Nonstop SQL, and PostgreSQL. It supports output formats such as Excel, CSV, and XML and runs on Linux and Windows platforms. Pricing starts at $492/year with a 30-day free trial.
#5
QuerySurge
4.7
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
Deliver shareable, automated email reports and data health dashboards
It provides customer support via Chat, Contact Form and Email
Supported Platforms: Windows and Linux
Price: Plans start at $492 a Year
Free Trial: 30 Days Free Trial
👍 Pros 👎 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
30-Day Free Trial
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.
BiG EVAL, embeddable in DataOps and DevOps CI/CD flows, offers hundreds of connectors for data types, including RDBMS, APIs, business apps, and SaaS. It supports cloud data warehouses like Dynamics 365, Azure Data Lake, REST API, and Google Cloud Platform while maintaining GDPR compliance.
BiG EVAL offers features like Testcase Organization, Alerts, Extensions, Scripting, Security, Code Versioning, Migrations, and Audit Trail. It supports over 10 data sources and integrates with MySQL, PostgreSQL, SQL Server, HBase, and MongoDB. It supports output formats like PDF, JSON, XLSX, Excel, and CSV. Pricing starts at $99/month, with a 14-day free trial available.
#3
BiG EVAL
4.8
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.
It provides customer support via Contact Form and Chat
Supported Platforms: Web-Based
Price: Plans start at $99 a month. 8% Discount on Yearly Payment.
Free Trial: 14 Days Free Trial
👍 Pros 👎 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
14-Day Free Trial
4) Oracle Autonomous DatabaseOracle 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 Autonomous Database, adhering to ISO 8601, ISO/IEC 9075-1, ISO-3166, SOC 1, SOC 2, and GDPR standards, offers high-speed data transfer and virtualization support. It enables connections to remote databases, tables, or views and supports cloud data warehouses like Amazon S3 and Microsoft Azure.
Oracle Autonomous Data Warehouse, supporting 20+ data sources, it integrates with MySQL and Oracle and supports output formats like XML, JSON, CSV, HTML, PDF, TXT, and DOC. It is compatible with UNIX/Linux and Windows, provides auto-scaling, securing, tuning, backups, repairing, patching, and warehouse management. It includes self-service data tools, analytics, and comprehensive data/privacy protection. A 30-day free trial is available.
Features:
Distributes data in the same way across disks to offer uniform performance
Works for single-instance and real application clusters
Common architecture between any Private Cloud and Oracle’s public cloud
Hi-Speed Connection to move large data
It provides customer support via Chat and Phone
Supported Platforms: Cloud-based
Price: Request a Quote from Sales
Free Trial: 30 Days Free Trial
👍 Pros 👎 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
5) Amazon RedShiftAmazon 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 provides fully climate-controlled data centers, monitors cluster health and automatically manages data re-replication and node replacement. Compliant with FedRAMP, HIPAA, PCI-DSS, GDPR, FIPS 140-2, and NIST 800-171, it offers analytics, data analysis, and security.
It supports 10+ data sources, integrates with SQL Server and MySQL, and provides multiple output formats. Compatible with Amazon S3, it offers a 60-day free trial.
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
It provides customer support via Contact Form and Chat
Supported Platforms: Cloud-based
Price: Request a Quote from Sales
Free Trial: 60 Days Free Trial
👍 Pros 👎 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
It offers a consistent backup for your data
A transparent and competitive pricing structure
6) DomoDomo is a robust data tool, offering Data Sharing and Self-service Analytics with support for 1000+ sources. It provides XLS, CSV, ODT, XML, and JSON outputs and operates on Windows, Linux, and Mac, with a 30-day free trial.
Features:
Stay connected anywhere you go
Integrates all existing business data
Connects all of your existing business data
Easy Communication & messaging platform
It provides support for ad-hoc queries using SQL
It provides customer support via Chat, Contact Form, Email and Phone
Supported Platforms: Windows, Mac and Linux
Price: Request a Quote from Sales
Free Trial: 30 Days Free Trial
👍 Pros 👎 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
7) SAPSAP 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 enables the creation of databases merging analytics and transactions, deployable on any device. It simplifies data warehouse architecture and supports cloud data warehouses such as Azure Data Lake, Google Cloud Storage, Hadoop File System, and Amazon S3.
SAP adheres to compliance standards like ISO/IEC 27001, SOC, ISO 9001, ISO 22301, ISO/IEC 27018, and ISO/IEC 27017. SAP offers Secure Workspaces, Reuse of Existing Investments, Third-Party Content, and Customer Relationship. It supports XML, HTML, PCL, PDF, XSF, and TXT output formats on Windows, Mac, and Linux platforms. With a 14-day free trial, pricing plans start at $19 monthly.
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
Provide support for On-premise or cloud deployment
It provides customer support via Chat, Contact Form and Phone
Supported Platforms: Windows, Mac and Linux
Price: Plans start at $19 a month.
Free Trial: 14 Days Free Trial
👍 Pros 👎 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
8) InformaticaInformatica PowerCenter is Data Integration tool developed by Informatica Corporation. The tool offers the capability to connect & fetch data from different sources.
Informatica features a centralized error logging system for managing errors and data rejection into relational tables, promotes best practices in code development, and allows integration with external Software Configuration tools. It also enables synchronization among geographically distributed teams.
Informatica is a comprehensive tool supporting cloud data warehouses like Amazon Redshift Workbook, Google Drive, and Dropbox. It adheres to GDPR, ISO 8859-1, ISO 639, AICPA SOC 1, AICPA SOC 2, and ISO/IEC 19770-2 standards and integrates with SQL Server, IBM DB2, PostgreSQL, and ODBC. It operates on Windows, Linux, and Mac with output formats like PDF, HTML, Excel, Text, RTF, and XML. A 30-day free trial is available.
Features:
Build in Intelligence to improve performance
Limit the Session Log and Ability to Scale up Data Integration
Foundation for Data Architecture Modernization
Better designs with enforced best practices on code development
It provides customer support via Chat, Contact Form and Phone
Supported Platforms: Microsoft Windows, Linux, Debian, and Mac OS
Price: Request a Quote from Sales.
Free Trial: 30 Days Free Trial
👍 Pros 👎 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
9) Talend Open StudioOpen 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, a leading open-source data warehousing tool, provides seamless connectivity to over 900 databases, files, and applications. It manages all aspects of integration processes, from design to deployment. Compliance with PCI DSS, GDPR, ISO/IEC 27001, and ISO-8859-1 standards is also ensured.
Features:
It supports extensive data integration transformations and complex process workflows
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
It provides customer support via Contact Form and Chat
Supported Platforms: Windows, Mac and Linux
Price: Request a Quote from Sales.
Free Trial: 14 Days Free Trial
👍 Pros 👎 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.
Integration with standard APIs and tools that are easy to use
The quality of technical support provided by the company
10) The Ab Initio softwareThe 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.
Ab Initio is a robust software featuring components executing simultaneously on various graph branches. It supports cloud data warehouses like Snowflake, Redshift, and more.
It offers features like Data Processing, Real-Time Digital Enablement, and Legacy Modernization. Integration with formats like JSON, XML, and COBOL is possible, and it runs on Windows and Linux platforms.
Features:
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
It provides customer support via Email and Phone
Supported Platforms: Windows and Linux
Price: Request a Quote from Sales
👍 Pros 👎 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
11) TabLeauTableau 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 is a top open-source data warehouse tool, securely connecting to any data source, on-premise or in the cloud, including big data. It centrally manages metadata and security rules, offers potent management and monitoring, and enables cloud sharing and collaboration. It supports cloud data warehouses like Google Drive and Dropbox and complies with ISO 527, ISO-27001, and GDPR standards.
Features:
Ideal tool for flexible deployment
Designed for mobile-first approach
Securely Sharing and collaborating Data
Centrally manage metadata and security rules
It provides customer support via Email
Supported Platforms: Windows and Mac
Price: Request a Quote from Sales
Free Trial: Life Time Free Basic Plan
👍 Pros 👎 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
12) PentahoPentaho 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 offers simplified embedded analytics and operational reporting for MongoDB, serving as a platform to accelerate the data pipeline. It supports cloud data warehouses like Google Drive and Dropbox. Compliance with PCI DSS and GDPR standards is ensured, making Pentaho a secure and efficient data management tool.
Pentaho is a comprehensive tool providing features such as Storage Virtualization, In-System Replication, High Availability with Global-Active Devices, Data Mobility software, and Data-at-rest encryption. It supports over 40 data sources and integrates with SQL Server, MySQL, Oracle, and PostgreSQL. It runs on Linux and Windows platforms with output formats including PDF, HTML, Excel, CSV, RTF, and XML. A 30-day free trial is available.
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
Visualize data with custom dashboards
This tools for data warehouse development provides customer support via Contact Form and Phone
Supported Platforms: Windows and Linux
Price: Request a Quote from Sales
Free Trial: 30 Days Free Trial
👍 Pros 👎 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
13) BigQueryGoogle’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 is a versatile platform offering flexible data ingestion and cost control mechanisms. It supports cloud data warehouses like Netezza, Oracle, Redshift, and more. Adhering to compliance standards like HIPAA, PCI DSS, SOC 2, ISO/IEC 27001, and FedRAMP, it supports output formats including CSV, JSON, HTML, PDF, and various image formats.
BigQuery is a free data warehouse tool offering features like ML and predictive modeling with multi-cloud data analysis with BigQuery Omni, and interactive data analysis with BigQuery BI Engine. It supports geospatial analysis with BigQuery GIS and serverless architecture. It integrates with MySQL, and SQL Server, operates on Android, iOS, Mac, Linux, and Windows platforms, and offers a lifetime free basic plan.
Features:
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
It provides customer support via Chat, Phone and Contact Form
Supported Platforms: Android, iOS, Mac, Linux and Windows
Price: Request a Quote from Sales
Free Trial: Life Time Free Basic Plan
👍 Pros 👎 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
FAQsA 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.
Here are the best data warehousing tools:
CData Sync
QuerySurge
BiG EVAL
Oracle Autonomous Database
Amazon RedShift
Domo
SAP
Data Warehousing Tools are the software components used to perform various operations on a large volume of data. Data Warehousing management 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.
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
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