Data warehouse (DWH or DW) is a reliable technique used for data analysis and reporting. It is the core of business intelligence (BI) because all the analytical sources revolve around the DW. DW is the future of every organization, thereby, before picking the tool, you should be sure of its capability of meeting all the present and future comprehensive requirements of your organization.
Below enlisted are the most popular commercial and open source Data Warehousing Tools and Techniques:
Panoply Smart DW
Panoply is the only smart DW that simplifies and automates data management, data integration, and query performance optimization. You can ingest data in minutes with only a few clicks from any source, thus, you need not depend on IT/Data engineering for the ETL process.
Panoply platform has built-in security and data governance, the stored data is guarded against human mistakes and malicious attacks. You can also have full control over the access permissions of the users.
Panoply learns while it’s used, the queries are cached, saved and continuously optimized which saves time across all your reporting tasks of data analytics. Fast queries can be lighted to fuel any statistical package or BI tool.
Panoply stacks up data analytics and runs with a few clicks, thereby saving resources, cost, and time for any business.
Amazon Redshift is a crucial part of a cloud computing platform Amazon Web Services. It is a simple, cost-effective, well-managed and fast DW tool that analyses data using the existing BI tools and standard SQL. It easily runs complex analytical queries using the features of query optimization.
It administers the analytics workload relating to big data sets by using columnar storage on largely parallel processing concepts and high-performance disks.
Redshift spectrum is a powerful feature that allows you to run queries against the unstructured data straight in Amazon S3. Thus, loading and transformation process is eliminated which scales the computing capacity of queries.
Teradata is an internationally renowned company and Teradata DWH is a relational database management system used by most enterprises for analytics, insights, and decision making.
It has 2 parts, marketing applications and data analytics, it works on the concept of parallel processing concept allowing users to analyze data in an efficient and simple way.
It also has an interesting feature of data segregation into cold and hot data, cold data is less frequently used data and is in boom these days.
Oracle 12c (Licenced)
When comes to high performance, optimization and scalability in DW, Oracle 12c is a standard. It targets to increase the operational efficiency which optimizes the customer experience. Its tabulated prime features are:
- Enhanced data sets and advanced analytics.
- Increased industry-specific insights and innovation
- Maximum value of big data.
- Consolidation and Extreme Performance.
HCC (Hybrid Columnar Compression) and Flash storage are few additional features of Oracle 12c.
Informatica is a well-established and reliable name in data warehousing these days and was Launched in 1993, Informatica has a good portfolio in ETL, B2B data integration, data integration, data lifecycle management and virtualization.
Informatica power centercomprises components:
- Client tools installed on developer machines.
- Power Centre repositoryto store metadata.
- Power center serverto perform data executions.
Informatica has a powerful inbuilt mapping templates to manage data in an efficient manner.
IBM Infosphere uses graphical notations to execute data integrations. It provides you all the key building blocks of DW, data integration along with data governance and management. LDW (Logical Data Warehouse) and HDW (Hybrid Data Warehouse) are the key foundations of this warehousing architecture.
Multiple data warehouse solutions feature hybrid data warehouse so that an ideal workload is handled in an ideal platform. It helps take a proactive decision, streamline the process, is less costly and provides business agility.
It helps deliver trusted information, intensive projects by providing scalability, reliability, and improves performance.
Ab Initio Software (Licensed)
Ab Initio company gives you high volume data integration and processing, it provides user-friendly DW products for simultaneous data processing applications. It aims to perform 4th generation data manipulation, data analysis activities, batch processing, qualitative and quantitative data processing.
This GUI-based software targets making the extract, transform and load tasks easy. Ab Initio maintains a high level of privacy regarding their products. Professionals of this product work under NDA (Non-disclosure Agreement) to prevent disclosure of technical information publically.
ParAccel (Open Source)
Acquired by Actian, ParAccel is a California-based organization that provides DBMS software for organizations across all the sectors. Maverick and Amigo are two products offered, Amigo is built to optimize the speed of query processing that is redirected to the existing database whereas Maverick is a standalone data store
ParAccel discarded Amigo and promoted Maverick as it evolved as a ParAccel database that supports columnar orientation.
Cloudera (Open Source)
Cloudera is a US-based company, it provides Apache-Hadoop based software and services. It has an enterprise version called CDH (Cloudera Distribution including Apache Hadoop) with three editions, Basic, Flex and Data Hub. You can easily download its free version but it does not come with the technical support.
Analytix DS provides tools for data integration and data mapping along with management tools. It also supports the enterprise-level big data and integration services.
The founder of Analytics who made the invention of pre-ETL mapping is Mike Boggs. This Virginia based company have office spread over North America and Asia. Analytix now features a massive international team of assistants and service partners. It is expected that Bangalore will soon see a new development center of Analytix.
Few other competitive candidates currently in the market apart from these leading ten tools are MarkLogic, Alteryx, Talend, Hyperion, Numetic, Hyperion, Pervasive, SAP Business Warehouse, Greenplum, Netezza, Kalido, Keboola, ProfitBase, NetApp, Vertica and BIME.
You can find many options in the market but you need a proper analysis of the needs and requirements of your organization before choosing any tool. Being prepared beforehand about the future patterns as well as current requirements is always better for the long run. A data warehouse is very a prime part for any organization in any sector, thus, you need to choose the tools wisely.