Data Warehouse Software

TrustRadius Top Rated for 2024

Top Rated Products

(1-3 of 3)

1
Db2

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.

2
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.

3
Teradata Vantage

Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build…

All Products

(1-25 of 60)

1
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…

2
Db2

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.

3
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.

4
Snowflake

The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely…

5
Amazon Redshift

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

6
Teradata Vantage

Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build…

7
Apache Hive

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.

8
Oracle Autonomous Data Warehouse

Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and…

9
Oracle Exadata

Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs optimizations that let transaction processing, analytics, machine learning, and…

10
SAP 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.…

11
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.

12
Azure Synapse Analytics

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,…

13
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…

14
OpenText Vertica

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

15
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…

16
ParAccel

ParAccel was a data warehouse appliance (DWA) option, offered by Actian since the April 2013 acquisition of ParAccel as Actian Matrix, that has since been discontinued.

17
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.…

19
Kognitio

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

20
MySQL Heatwave

HeatWave is an in-memory query accelerator developed for Oracle MySQL Database Service. It’s a massively parallel, hybrid, columnar, query-processing engine with algorithms for distributed query processing that provide high performance for queries.

21
HCL Actian Data Platform

The HCL Actian Data Platform (formerly 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.…

22
ClickHouse

ClickHouse is an open-source, column-oriented OLAP database system enabling real-time analytical reports using SQL queries. With linear scalability, it handles trillions of rows and petabytes of data. ClickHouse Cloud offers a scalable serverless solution for real-time analytics.

23
retailMetrix

RetailMetrix is a data analytics platform for retailers with the mission of enabling retailers to get value from their data. RetailMatrix processes and stores sales, labor and customer data using data warehouse technologies. Its dashboards and reports allows team to find the data…

24
ZAP Data Hub

ZAP provides data management & analytics software, with optimized solutions for Microsoft Dynamics, Sage, SAP, and PowerBI. ZAP Data Hub is an ELT data warehouse automation software that helps to deliver accurate, trusted financial and operational reporting in BI tools.

25
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…

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.

What are the best data warehouse options?

The top rated data warehouse options include:

  1. Snowflake
  2. Oracle Exadata
  3. Amazon Redshift


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.