Data Warehousing tools store data as per requirement and helps in conducting an in-depth analysis of the available data.
What is Cloud Data Warehouse?
Earlier companies had to have large warehouses filled with servers to store data, and a cybersecurity workforce to keep the data secure. Cloud technology has nowadays made it possible for a variety of data warehousing tools to provide better services at cheaper rates.
Why should you care?
Organizations no longer need to invest in expensive infrastructure to store data and keep it safe
Cloud data warehouses are easier and quicker to scale. No need of buying more servers this quarter, you can instead rent some space tomorrow
There are several providers out there and based on an organization's current stage and need, they can choose from a wide range of tools available.
With many tools available in the market, it becomes important to make an informed decision rather than a hasty one, only to regret it later. Below are the ten best data warehousing tools with their pros, cons, and pricing.
Best Data Warehousing Tools
Redshift is one of the best cloud-based data warehousing tools to store important data for companies looking for high-speed processing power. This tool is completely-automated that balances the workload and further processes as many queries as possible.
While this may be one of the best tools to process high-speed analytical data, Redshift also comes with its fair share of problems. Amazon Redshift has a complex structure that sometimes results in slow processing of queries, and also integrating a variety of third-party applications like MySQL is very tough.
Redshift offers two pricing structures along with the feature of pause and resume, which makes it possible to save money. There are two types of pricing:
On-demand pricing- In this plan, pricing is billed per hour and starts at 0.25$ per hour.
Managed store pricing- This plan is billed at 0.024$ per GB per month.
Microsoft launched Azure as a public cloud-based warehousing tool which launches and operates application through data centers managed by Microsoft. Azure offers optimizable data processing power and real-time reporting. This functionality helps in extracting valuable insights like the performance of application through machine learning tools.
Azure offers integration of Saas, Paas, LaaS, many programming languages like Python, and other third-party applications like Linux. This has made Azure a widely recognized data-storing tool. Many businesses have begun to shift their computer services to the cloud as it is currently the best option that also saves them money.
With the services offered, pricing is very reasonable as serverless computing starts at 0.52$ per V-core/hour. The cost for storing data is 0.115$ per hour where Azure offers a minimum of 5 GB and a maximum of 4 TB of storage. Backup storage for extra data is 0.20$/month.
Google offers BigQuery as a fully-managed data warehousing tool that is also very cost-effective. BigQuery stores data in real-time and analyses petabyte-scale data in seconds. It comes with built-in machine-learning capabilities. This tool requires no set-up, and it is also scalable which allows high-speed processing of queries.
With the help of Google software, BigQuery is very compatible and can also be integrated with Cloud ML and Tensorflow to build AI models.
BQ can separate compute and storage. So, it enables scaling processing and memory resources based on business needs. Separation lets managing the availability, scalability, and cost of each resource.
Pricing is divided into several components starting with storage and queries as the first division. Further, pricing for storage is divided into two parts namely active and long term, and as for queries, pricing is again divided into two sections on-demand and flat-rate.
Active pricing- 0.020 $ per GB/ month with first 10 GB/month free.
Long term pricing – 0.010$ per GB/month with the first 10 GB/month free.
On-demand- 5$ per TB with 1 TB free every month.
Flat-rate- 10,000$ per month per 500 slots. Other than this there is an annual contract which is billed at 8,500$ per month per 500 slots.
Snowflake has re-designed the cloud storage space with modern cloud technology that analyses both structured and unstructured data. Performance and processing of queries are done at a fast pace as storage and processing power are separated from each other.
Snowflake is an excellent choice for organizations that rely on data-driven decisions, as this tool allows real-time sharing of data without moving it across.
Unlike other data warehousing tools, pricing at snowflake is billed per second. Customers can opt between standard, enterprise, business-critical, and VPS. Starting with standard, pricing is done at 0.00056$per second per credit, for enterprise pricing is done at 0.0011$ per second per credit.
As for storage, it is billed at 23$/TB/month.
Teradata is perfect for companies who want a competitive edge as this tool provides data warehousing and management solutions to global corporations. The tool provides a super-fast parallel querying infrastructure.
It also employs smart in-memory processing to optimize database performance at no extra costs. Using SQL, the data warehouse connects to commercial and open-source analytical tools.
The company does not disclose its pricing model and works on a pay-as-you-go model.
SAP is a cloud-based warehousing tool that provides integration and extension platform to enterprises. Through its integration feature companies can improve their data integration across the value chain to improve efficiency and productivity. The extension feature can help simplify the application development process.
This platform can transform the entire database a company possesses and turn it into real-time, actionable business insights.
Pricing is separated into several components, and it's up to the customer to choose the most suitable price plan. It is divided into three divisions namely, a one-time cost model, a cloud-hosted subscription model, and a business model. These three divisions are divided into sub-divisions:
One-time cost model:
Pro license- 3213$
Limited license- 1666$
Starter package- 1357$
Cloud-hosted subscription model:
Pro license – 132$/Month
Limited license – 99$/ month
Starter package – 110$/month
Starts with 3000$ 1-time payment.
Companies that want to eliminate traditional database administration tasks and save during peak performance time with autoscaling, opt for Oracle's data warehouse solution.
They streamline the entire business process of ERP financials, procurement, and more so organizations can improve their productivity. Oracle cloud infrastructure is integrated with LaaS, this allows high-speed performance, real-time reporting of data, and serverless computing.
Due to the number of services they provide, all their products are priced at different rates and computed on a per hour basis.
IBM provides its clients with multiple data storing options, which includes the cloud, on-premise, and an integrated application as well. All three warehousing tool operates on a common SQL interface hence, allowing to switch seamlessly as required. Apart from switching, the SQL interface also helps in streamlining queries and analytical workloads.
It has Built-in ML and geospatial capabilities, scales storage and compute independently, and deploys on multiple cloud providers (IBM Cloud, AWS), etc.
Pricing is divided into multiple plans like Flex one, Flex, Flex performance, Flex for AWS, Flex performance for AWS. There are different features for different services, let's check their pricing plan.
Flex one - 0.68$/hour. The base Instance provides one database with 40GB disk storage and 6 virtual processor cores (VPCs). Scale storage up to 4TB and scale compute up to 28 VPCs.
Flex – 2.11$/Hour. The base Instance provides one database with 960GB disk storage, 16 cores, and 186GB RAM. Scale storage up to 96TB, and scale compute up to 160 cores.
Flex performance – 7.76$/hour. The base Instance provides one database with 2.4TB disk storage, 48 cores, and 1TB RAM. Scale storage up to 96TB in increments of 2.4TB, and scale compute up to 576 cores in increments of 24 cores. Each 24-core increment provides an additional 512GB RAM.
Flex for AWS – 3.23$/hour. The base Instance provides one database with 960GB disk storage and 14 virtual processor cores. Scale storage up to 144TB in increments of 960GB, and scale compute up to 112 virtual processor cores in increments of 14 virtual processor cores.
Flex performance for AWS – 12.60$/hour. The base Instance provides one database with 2.4TB disk storage and 48 virtual processor cores. Scale storage up to 144TB in increments of 2.4TB, and scale compute up to 576 virtual processor cores in increments of 24 virtual processor cores.
Data warehousing tools are a necessity for enterprises looking to migrate their on-premise application and data on the cloud to improve their performance by making data-driven business decisions. With the advent of cloud technology, there is numerous software available in the market that provides almost every type of service.
It’s important to choose the right service provider with remarkable services and at an affordable rate that fulfills our business needs. For consultation on the best tool for your organization, feel free to contact us.