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As demand for data access and analytics continues to grow, data warehouses are emerging as a crucial component of any business landscape. These pivotal platforms are critical in the big data marketplace, offering a secure way for companies to create data repositories that feed artificial intelligence, analytics software, and more.
Today’s data warehouse software solutions support businesses across all industries and work with various essential tools, providing business leaders with the insights they need to make critical decisions. So, which data warehouse software solutions deliver the best results for organisations in 2020?
Yellowbrick is one of the world's leading modern data warehouse options for hybrid and multi-cloud landscapes. Their cloud data warehouse is a SaaS solution that eliminates the common issues with performance, cost, and scale posed by typical warehouse offerings. Multicloud support ensures that companies can connect various private and public clouds to a single warehouse instance.
Yellowbrick offers answers to complex queries faster than any other legacy or cloud-only warehouse, and customers benefit from a predictable upfront subscription pricing strategy. Users also have access to Yellowbrick Cloud DR to replicate on-premise or cloud data warehouses in the cloud without purchasing extra instances.
Panoply promises a convenient way for businesses to sync, store, and assess all of their crucial data in one place. You can explore your information using SQL, or visualise your insights with your favourite analytics tools to make insights more actionable. Panoply was one of the first companies to introduce the world to the concept of a smart cloud data warehouse. The solution delivers some of the fastest times to insights for the industry by eliminating coding concerns.
Panoply’s proprietary technology in the AI environment automatically enriches, optimises, and transforms complicated data, making it easier to make valuable decisions. Companies like Spanx and GoDaddy are already using Panoply today.
One of the better-known companies in the cloud environment, Google is incredibly adept at managing and leveraging data. The warehousing tools from Google reflect the company’s focus on cutting-edge technology, like computing in the edge, machine learning, and AI. In particular, Google’s BigQuery platform is a particularly notable option in the warehousing landscape, capable of handling a wide selection of enterprise use cases.
With BigQuery, organisations can access huge amounts of data using ANSI SQL at incredible speeds, without having to worry about operational overhead. You can also run analytics at scale with Google with an up to 24% lower TCO than other cloud warehousing alternatives.
Talend is a data warehousing market leader that combines data management with business intelligence to encourage smarter decisions. Widely recognised by market analysts like Gartner, Talend helps companies collect data from disparate systems to make more intelligent decisions. With Talend, companies can periodically pull information from all apps and systems consistently and reliably.
Talend Real-Time Big Data solutions works well with various cloud environments, including AWS Redshift. Combined with tools for business intelligence, Talent helps business leaders to convert large amounts of information into meaningful and actionable insights.
With powerful roots in the open-source landscape, Cloudera’s solution for data warehousing features some of the leading open-source classics. Companies can tap into Spark, Hadoop, Impala, and many other options. Thanks to an open background, Cloudera works well in any environment, whether you’re looking for a solution in the cloud, a multi-cloud offering, or something entirely on-premise.
Cloudera makes the most of AI and machine learning elements, with workloads that you can automatically scale up and power with machine learning. Cloudera also fully integrates with a wide range of data engineering, streaming, and machine learning analytics. The consistent framework secures and provides governance for all your metadata and data in any landscape.
Snowflake is the cloud-focused data platform intended to help companies mobilise, access, and leverage their data. Launched in 2014, this is one of the newer companies on the market, but also one of the most appealing. With Snowflake, you can enjoy immediate access to your complete data cloud and share information live with your business partners and customers.
The Snowflake automated cloud-based platform works brilliantly with hybrid environments. With this technology, you can build an agile data environment that constantly changes and adapts to suit your needs. For data warehouses, Snowflake is completely ACID-compliant, so you can process data transactions with fewer issues. There’s also support for a vast selection of formats too.
Originally launching in 1979, Teradata is a well-respected company in the data management environment. The Teradata data warehouse offers a subject-oriented way to manage the information in your landscape. Data values and formats remain standardised across all environments to ensure consistent and accurate data that your users can follow. On top of that, Teradata’s solutions are perfectly suited to today’s multi-cloud and hybrid landscapes too.
The broad mixture of tools available from Teradata include solutions in the public cloud, private-public mix, and on-premise too. There are plenty of features to explore within your Teradata system, including data integration and ETL tools, data loading systems, and data cleansing solutions.
Promising deeper, more intelligent insights into organisational operations and customer decisions, IBM has its own intuitive warehousing solution. This AI-infused hybrid service makes it easier for businesses of all sizes to aggregate disparate data sources into a single environment. IBM offers on-cloud, on-premise, and integrated warehousing options. This ensures that companies can get the perfect high-performance and flexible foundation for data analytics, no matter their situation.
Powered by AI, all of IBM’s platforms share the same common SQL engine that works to streamline queries and enhance machine learning capabilities. IBM is particularly popular for using open standards and supporting interoperability.
Optimised for comprehensive warehousing performance, the Oracle Autonomous Data Warehouse is the company's fully managed solution for modern companies. As a market leader in database tools, Oracle delivers reliable performance to companies of all sizes. Many Fortune 500 companies consider Oracle the go-to option for easier, faster, and more accurate data management.
Oracle partitioning ensures the manageability and availability of big data sections in your storage environment. You can also access Oracle Multitenant tools to bring together information from multiple warehouses into a single environment.
Amazon Web Services Redshift
Amazon Web Services is one of the best-known companies in the digital landscape and is home to Redshift, the AWS solution for data warehousing. This popular lightning-fast cloud system powers analytical workloads for businesses across the globe. Startups and Fortune 500 companies alike rely on the Redshift warehousing solution to make transformative decisions.
AWS’s massive footprint in the cloud market makes it an excellent choice for businesses in search of scalability. Redshift can continue to deliver incredible outcomes, no matter how big your enterprise grows. There’s also a rapidly growing number of third-party vendor solutions that work with AWS Redshift technology too.