Data Warehouse Software
Data Warehouse Software Overview
Top Rated Data Warehouse Products

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 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 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.
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
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: