Data Warehouse Tools

The world has gone a long way from the days of establishing enormous data warehouses and relying on internet applications with advanced features. Data warehousing is responsible for a wide range of benefits, from faster query response times to better information accessibility. We've compiled a list of the most popular data warehouse tools.

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From investing massively in constructing the infrastructure for data warehouses to using online tools with advanced functionalities, the world has come a long way. Whether it is about improving information access or speeding the times for query-response, data warehousing turns out to be responsible for a gamut of features.

On top of that, the introduction of cloud-based technology has substantially decreased the expenditure that companies were spending on data warehousing, irrespective of their operations and size. In the present era, such data warehousing tools that are cloud-based are not just fast but extremely scalable as well. Having said that, we have come up with a list of top tools of the data warehouse that you can try using.

List Of Top 10 Data Warehouse Tools

The following are the best data warehouse tools out there and what they have to offer:

1. Micro Focus Vertica

2. Amazon Simple Storage Service S3

3. Exadata

4. Microsoft Azure

5. Snowflake

6. Teradata

7. PostgreSQL

8. MarkLogic

9. Db2 Warehouse

10. BI360 Data Warehouse

10 Best Data Warehouse Tools

#1 Micro Focus Vertica

This one is an SQL data warehouse that is available in the cloud on varying platforms, such as Azure and AWS. If you wish, you can even deploy this warehouse as a hybrid or on-premise. The tool uses MPP and supports columnar storage to enhance query speed.

It comes with a shared-nothing architecture that decreases competition for shared resources. As far as analytics is concerned, Micro Focus Vertica provides inbuilt capabilities, including time series, pattern matching, and machine learning.

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Unique Features of Micro Focus Vertica:

  • Capabilities of multi-cluster 
  • Data governance and quality
  • Integration of machine learning and data science
  • Integration of data lake
  • Query federation
  • Serverless, autonomous platforms
  • Unified architecture of data storage 

Micro Focus Vertica Pricing:

In terms of pricing, for up to 1 TB and three nodes, it offers a free community tier. However, if you wish to get a paid version, the cost will depend upon the fulfillment and region. Generally, it charges a per-house basis, and the price begins from $2/hour. Elaborate their achievement

#2 Amazon Simple Storage Service S3

Amazon Simple Storage Service S3 is capable of serving cloud storage requirements at scale for both small as well as large enterprises. The object-oriented, scalable services also support big data analytics. Furthermore, the tool stores data in buckets, where each one of them is competent enough to hold up to 5TB. 

Unique Features of Amazon S3:

  • Storage management and monitoring
  • Storage Analytics and insights
  • Storage classes
  • Access management and security
  • Query in place
  • Data transfer
  • Consistent performance 
  • This software provides a variety of cost-effective storage options as well. 

Amazon S3 Pricing:

As far as the pricing is concerned, it varies as per the storage class. The tool provides 7 different options to choose from. The charges are according to the GB used per month. With the amount of data increasing, the cost decreases fractionally.

#3 Exadata

This one is a cloud infrastructure that is a self-driving platform and powers adaptive Machine learning to automate various administrative tasks. Right from tuning to patching, upgrading, monitoring, securing the database, and much more can be handled by this tool. 

Also, developing an autonomous Exadata data warehouse is quite an easy process. You would have to begin by specifying tables and loading the data with a few clicks. And then, the system will employ columnar and parallelism processing to boost scalability and performance. 

[ Related Article: Machine Learning Tutorial For Beginners ]

Unique Features of Exadata:

  • Smart flash cache
  • Storage indexes
  • Smart cells and cell offloading
  • Hybrid columnar compression
  • IORM

Exadata Pricing:

Talking about the pricing, it comes with two pricing structures. The storage option has a price tag of $222 per TB/month, and the pay-as-you-go model charges $2.52 per Oracle Compute Unit (OCPU)/hour.

#4 Microsoft Azure

Introduced by Microsoft, this one is a relational database that is cloud-based. It allows you to optimize for PB-scale data processing, loading, and reporting in real-time. 

This platform comes with a system that is node-based. It also engages in Massively Parallel Processing (MPP). When it comes to the optimization of queries for concurrent processes, the architecture of this tool is quite suitable. 

Unique Features of Microsoft Azure:

  • Ability to build, deploy and regulate apps quickly with IaaS
  • Improved flexibility and scalability
  • Unique storage
  • Easy integration with existing IT environment
  • Strong analytics support

Hence, it allows the extraction as well as the visualization of insights in a faster way. One of the best things about this tool is that it supports different resources by MS Azure. If you want, you can also store a variety of both unstructured and structured data. 

Microsoft Azure Pricing: 

The serverless compute cost on this database begins from $0.52 per V-core/hour. On the other hand, storage cost is $0.115 for 1GB/hour, with at least 5GB of storage that can go up to 4TB. If you want additional backup storage, you’ll have to pay $0.20 for 1GB/month.

#5 Snowflake

Snowflake is one such tool that can be used to establish a cloud data warehouse that is suitable for an enterprise-grade. The tool helps you analyze data fetched from different structured and unstructured sources. The shared, multi-cluster architecture differentiates storage from processing power. 

Unique Features of Snowflake:

  • A cloud-agnostic solution
  • Multi-cluster shared data architecture
  • Concurrency and workload separation
  • Near-zero administration
  • Semi-structured data

Hence, it enables you to sell the resources of the CPU on the basis of user activities. Not just that, but scalability also quickens the performance of querying in order to deliver useful insights. 

[ Related Article: Learn about Snowflake ]

Snowflake Pricing:

As compared to other data warehouse tools, the pricing of Snowflake is on the basis of a per-second structure. However, the cost may differ as per the platform, region, and the chosen pricing tier. You have 4 different packages to choose from where the starting price is $0.0011 per second/credit.

#6 Teradata

Another one on the list is Teradata. This one is another platform that is specifically used for data warehousing and to accumulate and analyze huge numbers of data in the cloud. This one offers the infrastructure of fast parallel querying. 

Unique Features of Teradata:

  • Easy to administer
  • Single datastore
  • Execution on Windows, Linux, and Unix operating systems
  • Fault tolerance on every level of software and hardware
  • Uses the world’s largest telecommunication companies

It helps the tool speed the acquisition of insights. QueryGrid delivers suitable engineering by deploying different analytic engines in order to provide an adequate tool. It also comes with the concept of smart in-memory processing that optimizes the performance of the database at no additional costs. With SQL, it connects to open-source and commercial analytical tools. 

Teradata Pricing:

This tool works on the structure of pay-as-you-go. But, to get the pricing, you’d have to get in touch with the customer support team of the company.

#7 PostgreSQL

If you’re looking for a free data warehouse tool, this one would be a perfect choice. Being an open-source database management tool, PostgreSQL is available on the cloud. Capable of working as a primary database, this tool turns out to be a perfect option for large enterprises as well as SMEs. 

Unique Features of PostgreSQL:

  • It is an object-relational warehouse
  • An extensive list of data structures and types
  • Different types of network addresses
  • Multi-dimensional arrays
  • Geometric data
  • JSON support for schema-less in SQL database

Whether you wish to upscale the internet-scale business apps or worth along with geospatial data, you may integrate this tool with PostGIS extension for an efficient experience. With the business, you get to access business solutions as per the basis of location as well. What’s more, the tool also supports both JSON and SQL querying. With features such as Multi-Version Concurrency Control (MVCC), you can easily optimize database performance.

PostgreSQL Pricing:

If you are using an on-prem environment, the cost will be $0, even if you are making use of the products in the cloud. However, the paid version begins from $0.34/hour for 2GiB. 

[ Related Article: Detailed Comparison between MongoDB and PostgreSQL ]

#8 MarkLogic

MarkLogic offers the NoSQL database system along with authoritative versatile and querying application services. This schema-agnostic platform allows you to ingest data in any type or form. This is because the tool, for predefined schemas, has native storage. 

Unique Features of MarkLogic:

  • Human-oriented document model
  • Semantic graph database model
  • Relational, structured data views
  • Integrated indexes
  • Unified platform

As far as supported formats are concerned, you get RDF, JSON, geospatial data, and huge binaries such as videos with this tool. The inbuilt engine streamlines querying once the data is loaded. And then, you can begin to ask questions and get answers instantly. 

MarkLogic Pricing:

The tool comes with 3 pricing tiers, and the billing is as per the consumption. The lowest package starts at $0.071 per hour/MCU

#9 Db2 Warehouse

Coming from IBM, this tool is completely managed and scalable. Its cloud data storage is perfect for artificial intelligence and analytics applications. It offers in-built tools for machine learning that can be effortlessly used to train as well as deploy different ML models in the ecosystem.  

Unique Features of Db2 Warehouse:

  • Insights with the help of in-database analytics
  • Lightning-fast query processing
  • Automatic schema generation
  • Data loading
  • In-memory data processing
  • Embedding of apache spark engine
  • Easier data migration

Db2 warehouse supports a variety of languages for machine learning developments, including Python and SQL. On top of that, it comes with an intuitive REST API or UI. If required, this tool can also be used to regulate the scaling of storage and processing power. 

Db2 Warehouse Pricing: 

Coming to the pricing, the tool offers 9 pricing packages, with the basic one priced at $0.68 per instance/hour.


[ Related Article: Comparision between OLAP and OLTP ]

#10 BI360 Data Warehouse

BI360 allows enterprises to combine huge numbers of data from different sources, including unstructured data stores, accounting software, ERP, and CRM. The tool is previously configured to streamline database deployment and the workflows of business intelligence. 

Unique Features of BI360 Data Warehouse:

  • Ad hoc reporting
  • Performance metrics & profitability analysis
  • Strategic planning & visual analytics
  • Asset management
  • Private dashboard with data visualization
  • Data integration

This cloud-based solution comes with intuitive analytics and dashboard interfaces. If you want, you can also add dimensions and modules. This one is running on the server of MS SQL and offers inbuilt tools for automated data loading. 

BI360 Data Warehouse Pricing: 

The pricing hasn’t been disclosed by BI360l. However, it may charge anywhere around $312 per user/month approximately.

Wrapping Up

Coupled with third-party integrations, a cloud-based data warehouse can unlock innumerable potentials for enterprise owners. Thus, if you wish to transform your data, choose any one of the Data Warehouse tools mentioned above and streamline your business like never. 

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Last updated: 03 Apr 2023
About Author

Although from a small-town, Himanshika dreams big to accomplish varying goals. Working in the content writing industry for more than 5 years now, she has acquired enough experience while catering to several niches and domains. Currently working on her technical writing skills with Mindmajix, Himanshika is looking forward to explore the diversity of the IT industry. You can reach out to her on LinkedIn


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