Data Warehouse Software

Data Warehouse Software Overview

Data warehouse software gives users a processing pipeline for large volumes of data from one or more sources. Data warehouse software assists with the extracting, transforming, and loading (ETL) processes of warehousing data. Data warehouse software automates these tasks and autonomously standardizes data for proper storage. Data warehouse software also lets users observe, evaluate, and analyze data in real time.

Data warehouse software allows users to dynamically store, access, and search data across multiple sources from one platform. This allows analysts and data science teams to work more efficiently because it lets them handle and report on information from multiple programs, software, AI, or other assets. Data warehouse software also makes the management of historical data easy, as it allows archival data to be standardized, modernized, and searchable from multiple access points.

Data warehouse software can be thought of as a broadly applicable type of Data Integration Tool. Because Data Integration Tools appear to require more nuanced direction on the part of the user, they are typically used for internal data standardization, e.g. enterprises with proprietary assets. Data warehouse software, on the other hand, can readily interface with a wide variety of sources on behalf of the user, making them useful for organizations that work with multiple third-party platforms.

Top Rated Data Warehouse Products

TrustRadius Top Rated for 2022

These products won a Top Rated award for having excellent customer satisfaction ratings. The list is based purely on reviews; there is no paid placement, and analyst opinions do not influence the rankings. Read more about the Top Rated criteria.

Data Warehouse Software TrustMap

TrustMaps are two-dimensional charts that compare products based on trScore and research frequency by prospective buyers. Products must have 10 or more ratings to appear on this TrustMap.

Data Warehouse Products

(1-25 of 49) Sorted by Most Reviews

The list of products below is based purely on reviews (sorted from most to least). There is no paid placement and analyst opinions do not influence their rankings. Here is our Promise to Buyers to ensure information on our site is reliable, useful, and worthy of your trust.

Treasure Data

Treasure Data is an enterprise customer data platform (CDP) that powers the entire business to reclaim customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements…

ThoughtSpot

ThoughtSpot

Customer Verified
Top Rated
TRUE

ThoughtSpot is an analytics platform that enables users to leverage natural language search and AI to find data insights and tap into the most cutting edge innovations the cloud data ecosystem has to offer. The vendor states companies can put the power of their modern data stack…

Key Features

  • Drill-down analysis (72)
    80%
    8.0
  • Customizable dashboards (72)
    79%
    7.9
  • Formatting capabilities (71)
    74%
    7.4
Apache Hive

Apache Hive

Customer Verified

Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.

DB2

DB2

Customer Verified
Top Rated

DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

Amazon Redshift

Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.

Google BigQuery

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

Key Features

  • Database scalability (29)
    98%
    9.8
  • Automated backups (24)
    94%
    9.4
  • Monitoring and metrics (25)
    83%
    8.3
Oracle Autonomous Data Warehouse

Oracle now offers their Autonomous Data Warehouse Cloud PaaS, a fully managed data warehouse available through Oracle Cloud.

Oracle Exadata Database Machine

Oracle Exadata is software and hardware engineered to support high-performance running of Oracle databases.

SAP Business Warehouse (SAP BW) (formerly SAP NetWeaver Business Warehouse)

SAP Business Warehouse, or SAP BW (formerly SAP NetWeaver Business Warehouse) is SAP's legacy data warehouse solution, now superseded by SAP BW/4HANA, and the SAP Data Warehouse Cloud which was launched in 2019. SAP BW versions up to 7.4 have reached end of maintenance. SAP BW 7.…

Oracle Data Warehouse

Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates virtually all the complexities of operating a data warehouse, securing data, and developing data-driven applications. It automates provisioning, configuring, securing, tuning, scaling, patching,…

Cloudera Enterprise Data Hub

The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.

SAP BW/4HANA

SAP BW/4HANA is a next-generation data warehouse solution. It is specifically designed to use the advanced in-memory capabilities of the SAP HANA platform. For example, SAP BW/HANA can integrate many different data sources to provide a single, logical view of all the data. This could…

Azure Synapse Analytics (Azure SQL Data Warehouse)

Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources,…

Vertica

The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica is owned and supported by Micro Focus.

IBM Netezza Performance Server

Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance…

Teradata Vantage - Enterprise Data Warehousing

Teradata Vantage is presented by the vendor as a powerful, modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Aiming to lead the way with hybrid multi-cloud environments and priced for flexibility, Vantage…

Kognitio

WX2 is the data and analytics focused data warehouse appliance solution from UK company Kognitio.

Panoply

Panoply is an ETL-less, smart end-to-end data management system built for the cloud. Panoply specializes as a unified ELT and Data Warehouse platform with integrated visualization capabilities and storage optimization algorithms.

Actian Matrix (discontinued)

ParAccel was a data warehouse appliance (DWA) option now offered by Actian, since the acquisition of ParAccel (April, 2013). It was offered for some time as Actian Matrix, but has since been discontinued, and is superseded by Actian Avalanche.

ClicData

ClicData is a 100% cloud-based business intelligence platform that allows users to connect, process, blend, visualize and share data from a single place. As an automated platform, users are able to rely on the latest version of company data, to ensure users make the right decisions.…

VMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

VMware Tanzu Data Services is a portfolio of on-demand caching, messaging, and database software on VMware Tanzu for development teams building modern applications.

Oracle Database Exadata Cloud Service

The Oracle Database Exadata Cloud Service is a PaaS supplying high availability and performance access to Oracle Database via Oracle Cloud.

Actian Avalanche

Actian Avalanche hybrid cloud data warehouse is a fully managed service that aims to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a lower cost than alternative solutions. Avalanche has built-in self-service data…

Cloudera Data Platform

Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom…

Teradata Data Warehouse Appliance 2850

Teradata Data Warehouse Appliance, most recent model 2850, is a fully-integrated system purpose built for data warehousing. The appliance features Teradata Database with a Teradata hardware platform with dual Intel Xeon 18-core processors, up to 12TB of memory in a single cabinet,…

Learn More About Data Warehouse Software

What is Data Warehouse Software?

Data warehouse software gives users a processing pipeline for large volumes of data from one or more sources. Data warehouse software assists with the extracting, transforming, and loading (ETL) processes of warehousing data. Data warehouse software automates these tasks and autonomously standardizes data for proper storage. Data warehouse software also lets users observe, evaluate, and analyze data in real time.

Data warehouse software allows users to dynamically store, access, and search data across multiple sources from one platform. This allows analysts and data science teams to work more efficiently because it lets them handle and report on information from multiple programs, software, AI, or other assets. Data warehouse software also makes the management of historical data easy, as it allows archival data to be standardized, modernized, and searchable from multiple access points.

Data warehouse software can be thought of as a broadly applicable type of Data Integration Tool. Because Data Integration Tools appear to require more nuanced direction on the part of the user, they are typically used for internal data standardization, e.g. enterprises with proprietary assets. Data warehouse software, on the other hand, can readily interface with a wide variety of sources on behalf of the user, making them useful for organizations that work with multiple third-party platforms.

Data Warehouse Software Features

The most common data warehouse software features are:

  • Data extraction, transformation, and load (ETL) assistance
  • Structured, semi-structured, and unstructured data ingestion
  • Automated data blending and type conversion
  • Automated linear and horizontal scalability
  • Automated data backup and timestamping
  • Automated data syncing
  • API libraries and integration
  • Schema management
  • Data lineage management
  • Live monitoring and data performance visualization
  • Workload classification
  • SQL and NoSQLquerying support
  • Reporting and analysis features
  • Data encryption
  • Customizable UIs
  • Customizable fault tolerance
  • Knowledge databases

Data Warehouse Software Comparison

When choosing the best data warehouse software for you, consider the following:

On-premise vs. cloud storage. Choosing a data warehouse software for should start with whether you want to employ a cloud-based or on-premises solution. Cloud-based solutions are low-cost, highly scalable, and do not require hardware or servers to operate, while on-premises solutions grant greater degrees of data control and security at the expense of high maintenance costs. Some vendors offer a hybrid deployment option for users who prefer to have both options available to them.

Data sources. Choosing the best data warehouse software product may depend on the types of data sources you use. The individual compatibility of streaming applications, the Internet of Things, databases, CRMs, accounting software, and other sources needs to be considered, as does the data warehouse software’s ability to combine, extract, and access data from multiple sources at once. Snowflake has a wide array of native connectors for Python and Spark, making it a suitable warehouse for app developers. If you anticipate a large number of data sources reaching into the hundreds, Amazon Redshift has support for virtually unlimited number of data queries without compromising data transmission speed.

Software deployment time. Depending on the product you choose and its associated features, fully integrating data warehouse software can be a lengthy process. The average time of implementation is about 20 weeks, with probably 9 weeks at the earliest completion rate. This is because the warehouse needs to be carefully integrated so that data integrity is not compromised. Each vendor’s implementation process varies, so they should be contacted directly about this process.

Regulation compliance. You’ll want to ensure that the data warehousesSoftware you choose allows you to comply with industry-specific or governmental regulations. Tools such as user authentication, data access controls, end-to-end data encryption, and dynamic data masking are among the many tools that you can use to this end, but be sure to consult with the vendors about your specific compliance concerns.

Pricing Information

Data warehouse software pricing can depend on a variety of factors, such as ongoing data computing, data storage volume, and query loads. Some vendors offer free plans with limited storage features. Pricing plans dynamically adjust to the needs of a business, so vendors should be contacted directly to craft a personalized plan.

More Resources

The following resources can help you to understand your data warehouse software needs:

Related Categories

Frequently Asked Questions

Are all data warehouses compatible with all data sources?

Most data warehouses include tools for integrating with different business sources, but they may not be able to integrate with all sources of data. Additionally, many data warehouses are built using specific database engines, making them easier to pull in data from some applications compared to others.

Are there any free or open source data warehouse options?

There are a few open source data warehouse tools, but many of them require cloud hosting, or include limited features. Most offer either powerful ETL features, or advanced analytics, but few include both.

Do data warehouses ensure regulatory compliance?

Some data warehouses provide higher standards for encryption security than others. Data warehouses designed for the medical field, for example, ensure that stored data is HIPAA compliant. Businesses can find information about what compliance standards are supported on vendor websites.