Big Data Server & Storage Solutions

MicroStrategy is an ideal software solution, delivering integrated analytics and allowing you to take advantage of integrated analytics to take your business to the next level. Featuring superior data and the capability of sophisticated analytics, MicroStrategy is also very easy to use and allows for user scalability.

Tableau is extremely effective at enabling businesses to visualise and understand their data. Providing a revolutionary new approach to business intelligence, Tableau allows you to very quickly connect and visualise data. Dashboards can be created and shared amongst a team without the need for programming skills. You can also share data seamlessly across devices.

Microsoft Power BI is a web-based platform ideal for business analytics and visualisation. It is suitable for businesses of any size. It closely monitors both data that is key to the organisation and that from each app used by the organisation. It provides tools you can use to transform and visualise data, to quickly analyse it and to share reports.

ZoomData very efficiently provides simple and intuitive ways to visually interact with data. Interactive visualisation is enabled at essentially every scale – from many billions of rows of data to real life streams in under a second. The complexities that often prevent users of traditional BI and analytics applications from utilising the full power of Big Data are avoided completely with ZoomData.

QlikView is a powerful BI data discovery software that enables the creation of tailor-made guided analytics applications. With this tool you can uncover data and information that you often wouldn’t be able to find with query-based tools. The tool can be used to create and deploy analytical applications without needing to have any serious development skills, enabling faster responses to the everchanging business landscape.

Hive offers three different dashboards that each provide users with team productivity. Dashboards provide summaries of both personal and workspace productivity, highlighting inefficient areas and allowing managers to find ways to rectify them. There are a variety of features such as workflow templates, group messaging, multiple task views and more than 100 third party apps.

Apache Drill is a quick, flexible solution that features a high level of usability. Its agility allows for you to gain quicker insights without the usual overhead (such as loading, schema creation, etc.) Analysis of the multi-structured and nested data in non-relational datastores can be done directly without the need to transform or restrict it. You can leverage your existing skills and tools including the likes of Tableau, QlikView, MicroStrategy, Excel and more, boosting the usability of Apache Drill.

Apache Flink is designed to run effectively in all common cluster environments. As a distributed processing engine, it is capable of stateful computations over unbounded and bounded data streams. It is able to perform computations at in-memory speed and at any scale.

Apache Kafka is a publish-subscribe messaging system that is suitable for both online and offline messaging. It protects from data loss through persisting messages on the disk and replicating them within the cluster. Kafka is a very reliable and durable system. It can also very efficiently handle failures as it is fault tolerant. When it comes to real-time streaming data analysis, Apache Kafka can integrate extremely well with Apache Storm and Apache Spark.

Cloudera is a powerful software solution that has been meticulously designed for data management and analytics. It has been branded by many as the world’s quickest, most easily usable and most secure Apache Hadoop platform. With Cloudera’s Enterprise Data Hub (EDG), the system delivers the first unified platform for big data. Providing reliable and unified place to store, process and analyse all your data.

Apache Storm is a distributed real-time computational system made to process data streams. This open source software is capable of processing more than a million jobs in a fraction of a second on a node. A quick and secure processing system, Apache Storm is built to handle high volume and high velocity data. It is fault tolerant and highly scalable.

One of the biggest advantages Apache Spark provides is speed. Its in-memory data engine means that in certain situations it has the ability to perform tasks up to a hundred times faster than MapReduce. This is particularly evident when you compare through multi-stage jobs which require the writing of state back out to the disk between stages. The Spark API is very user friendly, making it one of the easier solutions to get a grip on for inexperienced developers.

Hadoop is a scalable file system that is very effective in handling big data. It enables the distributed processing of large data sets across clusters of computers. It is able to scale up from a single server to thousands of machines with each offering local computation and storage.

Instead of relying on the hardware to provide high-availability, this software is designed to find and handle failures at the application layer. Essentially it delivers high-availability on top of a cluster of computers that could be prone to individual failures.

HBase is very useful when you need random, real-time read/write access to your Big Data. This software was created to host very large tables, reaching many millions of columns and billions of rows.

It features linear and modular scalability and maintains strictly consistent reads and writes. Failover support between RegionServers is automatic while sharding of tables can be both automatic and configurable.

HBase features an easy to use Java API for client access, giving you more control and improved usability. In addition, block cache and Bloom filters are supported, making real time query processing easy.

Splunk is an analytics software that takes the usually overwhelming task of analysis and makes it simple. The web-based interface is extremely easy to use and keeps all your data analysis in a single location. While you would usually have to use multiple tools to collect all the data you need, with Splunk all the work will be done by one piece of software.

Splunk has been designed for users without a lot of technical expertise. It also contains built-in failover and disaster recovery capabilities that ensure you will always have access to your data, even in the case of severe system disruption.

Elasticsearch is an open source and readily-scalable search engine for your database. You can use Elasticsearch to power extremely fast searches that support your Big Data discovery applications.

Apache Kudu is open source software that features streamlined architecture and allows for faster and more accurate analytics. Kudu’s success has been built on their vibrant community of users and developers from diverse backgrounds. Kudu utilises columnar storage to enable efficient encoding and compression. Techniques such as differential encoding, run-length encoding, vectorised bit-packing and more are used to increase the speed of data-writing and the space efficiency of storage.

Apache Cassandra is a wide column store NoSQL database management system that is designed to deal with large amounts of data. It provides high availability and has no single point of failure. It allows for the solving of complicated tasks with ease and has a relatively short learning curve, meaning you will be using it to its full capabilities in no time. It features rapid writing and scorching fast reading, extreme resilience and fault tolerance.

MongoDB is dynamic, simple, object-oriented and scalable NoSQL database based on the NoSQL document store model. Offering great scalability, MongoDB is very efficient at handling Big Data demands and has the flexibility to fit well with your business needs. With MongoDB, you are able to serve more data, more users and more insight with much greater ease.

Greenplum is a massively parallel processing architecture that is capable of petabyte-scale loading. This solution allows for polymorphic data storage and execution. The settings for table or partition storage, compression and execution can all be configured to create a more efficient and effective accessing of data.

MapR features high availability and amazing performance. This solution is ideal for anyone looking for a low TCO, as it is very cost-effective. It offers complete protection and enterprise-grade security, making it one of the most secure options available for handling big data. Data integration is made easy with MapR.

Hortonworks provides you with the flexibility of deploying big data workloads in both hybrid and multi-cloud environments. Having this combination available provides optimal speed, cost-efficiency and security. This solution delivers data lineage, management, security, provenance tracking and governance extending across the platform for applications and workloads including machine learning, data science and analytics.