Top 5 Data Warehouse Software Of 2022

Have you heard of Warren’s Occult? Before you deny that, let us jog your memory a little.
 
Remember the cute little, totally not scary doll, named Annabelle? Come on, we've got three movies on it. In the third one, you find Annabelle locked up in a scary room along with countless other seemingly harmless but actually haunted artifacts. That's Warren's Occult. The room where Ed and Lorraine Warren kept a collection of haunted objects from paranormal investigations. If you're aware, since the movies are based on real stories - the room is real as well. In fact, it's been converted into a museum now! Spooky, right?
 
However, we're not trying to spook you; just letting you know that even the weirdest of professions need a place to store artifacts or information related to their business. So, your business would too.
 
Most businesses, including yours, probably don't have to deal with possessed dolls and music boxes. So, you'd rather need to store data (the new oil!) and not just store it but also collect it from multiple data source, organize the unstructured data and analyze it for your business decisions. That's where you need more than a room-you need a warehouse, a data warehouse.
 
It is a central repository of data from multiple sources and is used for business intelligence, reporting and data analytics. In a nutshell, it is a logical data warehouse where it collects data from every business source, collates it such that data science helps you have an integrated view of your business analytics information to use for improving customer service, optimizing operations and gaining a competitive advantage.
 
Interested in getting a non-spooky Occult for yourself too? Here are the top 5 you can choose from!
 

Top 5 Data Warehouse Software Of 2022

To find the right data warehouse tool, you need to assess its data cleansing capabilities, data transformation and loading power and business intelligence and historical data analysis competence. Not just that, you cannot ignore the basics like scalability, affordability, security, data integrations, automation capabilities and of course, suitability for enterprises, Small to Medium enterprises and startups. Yes, that's a lot to take care of and scout for. So, to make your task easier, we've narrowed down the decision to the top 5 Data Warehouse Software. Let's dive in!
 

Amazon Redshift	IBM DB2	Apache Hive
Snowflake	Panoply

 

Tool 1: Amazon Redshift

At times we can hear Amazon singing "I don't need no introduction" in the peppy Star Cast tune! Jokes aside, should we introduce Amazon as the leading Ecommerce platform or one of the top OTT platforms. We'll stick to calling it one of the Big Five companies in the United States information technology sector, with the highest brand valuation dealing with Ecommerce, cloud computing, digital streaming and artificial intelligence; to name a few. Amazon Redshift is a part of its cloud computing service, Amazon Web Services (AWS).
 
Amazon Redshift is a fast, fully managed petabyte-scale data warehouse service. With Redshift, it is simple and cost-effective to efficiently analyze all your data using your existing Business Intelligence (BI) tools. You can use it for datasets ranging from a few hundred gigabytes to a petabyte or more. FYI, a petabyte is 1 million gigabytes!
 
What's amazing is that it connects well with all the other products within AWS so you can build servers, API gateways and manage your business data on the cloud, along with having a safe secure storage for your data.
 

Tool 2: IBM DB2

Did someone say the Big Blue? Yes, a company that's managed to make even its pet name famous, definitely knows how to be the best in business, right? International Business Machines Corporation (IBM) is one of the most established brands dealing with hardware and software production and infrastructure, hosting and consulting services. A Fortune 500 company, IBM also ranks in the Forbes JUST 100 company for 2020, ranking #11 overall, #1 in the computer services category.
 
IBM DB2 Warehouse is a client-managed, highly flexible operational enterprise data warehouse for private clouds and containerized deployments. In simpler words, it works great for big enterprises with capabilities to manage data and scale on their own.
 
It includes integrated RStudio for development and R in-database functions - which means that you can carry out advanced data analytics directly on the data in the warehouse using the R programming language. This, therefore, also allows for very fast querying when the volume of data storage is large.
 

Tool 3: Apache Hive

Unlike the rest in the lot, Apache Software Foundation is a non-profit open-source technology community that brings developers across the globe together with a shared desire to create high-quality software that leads the way in its field. Empowering over 350 projects at the moment, the community has more than 40,000 code contributors and no less than 488,000 people involved in it. One of its many notable achievements is Apace Hive.


Apache Hive is database/ Data Warehouse Software that supports data storage, data querying and analysis of large datasets stored in the Hadoop Distributed File System (HDFS) and other compatible systems. Distributed under an open-source license, it facilitates reading, writing and managing large datasets residing in distributed storage using SQL.
 
Staying true to its value innovation for all, Apache Hive is one of the easiest tools to set up and start with. At the same time, one of the best in the game! Queries are very efficient and fast and can produce results in seconds.
 

Tool 4: Snowflake

An exclusive cloud computing-based data warehousing company, Snowflake has made a mark in the data management and solutions industry in less than a decade. So much so that the company is ranked first on the Forbes Cloud 100. Not just that, it also got the InfoWorld's Technology of the Year Award for 2020. As one of LinkedIn's Top Startups in the United States, Snowflake is known for its seamless experience and its unique name; for it was named as a tribute to the founders' love of winter sports. How cute, right!


Snowflake's data warehousing solution allows easy scaling and consistent performance. You can use it to securely access the data on the cloud and shared data integration with customers and business partners in real-time. You can also connect with other platforms easily in the capacity of data consumers, data providers and structured data service providers.
 
The best part - it works on all the major cloud platforms; Amazon S3, Microsoft Azure and Google Cloud Platform. In fact, Snowflake is often credited for reviving the data warehouse industry by building and perfecting a cloud-based data platform.
 

Tool 5: Panoply

Been there; didn't want to do that, this is the story behind the youngest pick in our list Panoply. Founded to overcome the challenge of performing advanced analytics at scale without having to deal with traditional data storage overheads, Panoply is the Smart Cloud Data Warehouse, crowned with 4.5 out of 5 stars rating on G2 and 5 out of 5 stars on Gartner Peer Insights. We could leave it at that but then we wouldn't get to talk about its awesome features!
 
Panoply is known for its ease-of-use, low-maintenance and sophisticated analytics without complex data engineering. Panoply is also one of the few solutions in the market to deliver a great unified, ELT (extract, load and transform) and Smart Data Warehouse, expediting the journey of migrating raw data to analytics using Machine Learning (ML) and Natural Language Processing (NLP). In simpler words, it directly stores enterprise data in a tabular format so that it can be analyzed easily.
 
Another great pro-feature by Panoply is that it offers easy scaling and Wedata warehouse maintenance to help you grow easily. Not to mention, the automated data integration and formatting in the data warehouse tool to help you store, retrieve and analyze big data quickly.
 

Did Your Search End?

We've kept a healthy mix of solutions for enterprises and SMEs/ startups in this one. If you're starting out, going with Apache Hive or Amazon Redshift would be a good call. If you are looking for an enterprise data warehouse - IBM DB2, Snowflake and Panoply would be good choices. However, the truth is, in the end, it all boils down to the needs of your business and the capabilities of your team. So, which one for would you choose to be your Occult?