Analytics - Further Information

An Enterprise Information Architecture can be viewed as the operating system of the Enterprise by means of which all applications are deployed and executed.

Supply Chain Orchestrator has been designed to enable supply chain leaders and their teams to take full advantage of a comprehensive view of end-to-end data.

Being able to take advantage of the wealth of data they hold is a key factor in ensuring the success of innovation initiatives for financial services companies.

Teradata ClearScape Analytics refers to the analytic capabilities that are available within Teradata Vantage and that underpin all Vantage deployment options.

Teradata VantageCloud Lake is a cloud analytics and data platform that is designed to enable exploratory analysis and operate wherever your data exists.

Observability is a child of DevOps. It is a collection of tools, techniques & best practices. It allows SREs, SecOps and ITOps to understand how app code behaviour affects business services.

IT is critical for financial services companies & often the prime or only source of competitive advantage.

Learn how Gathr is used in automotive insurance for breakthrough success, including customer analytics, CRM analytics, churn prediction, and more.

Vertica is a unified analytics platform built on top of a SQL data warehouse.

Teradata Vantage is a data warehousing and analytics solution with a variety of deployment options. This report examines it as a cloud solution specifically.

Rumi is a software platform that enables enterprises to embed rich, real-time analytical data processing directly into their transactional applications.

KeyLines is a graph visualisation product that allows you to examine relationships between entities and/or events.

This is Bloor's fourth Market Update in this space, which discusses the state of the graph database market as of early 2020.

In Amazon Neptune, both RDF graphs and Property Graphs are stored in a “quad” representation using a custom data model.

AnzoGraph is a massively parallel graph database that runs on HDFS, NFS and other big data platforms and is ACID compliant.

The DSE Graph Engine is a property graph that is built into DSE and leverages DSE’s capabilities for storage, search and analytics.

AllegroGraph from Franz Inc. is a semantic graph database focused on generating semantic knowledge graphs.

Grakn consists of a database, an abstraction layer and a knowledge graph, which is used to organise complex networks of data and make them queryable.

MarkLogic Server is a multi-model database that can be used to store documents, relational data via tables, rows and columns, and graph data.

Memgraph is an in-memory, ACID-compliant, property graph database written in C++ that supports openCypher.

Neo4j is a property graph database with a native engine that is targeted at operational, hybrid operational/analytic (HTAP) and pure analytic use cases.

Objectivity/DB has proven scalability and performance credentials in highly demanding environments. ThingSpan, which is built into the database.

GraphDB from Ontotext is a native RDF database with dynamic indexing that integrates with various search technologies, document stores, and text mining.

RedisGraph is the graph database module for Redis where, by “module” the company means functionality embedded into the product.

Sparsity Technologies Sparksee is a property graph database that focuses on high performance deployment at scale and on embedded systems.

Stardog is an RDF database with strong support for SPARQL and OWL that can be extended to provide labelled property graph capabilities.

TigerGraph uses a property graph paradigm and has been designed specifically to support real-time (less than one second) analytics.

Actian Avalanche is a hybrid cloud/on-premises, columnar (with compression) data warehouse offering provided as a managed service when in the cloud.

Cazena is a single tenant massively parallel analytics platform primarily targeted at providing a data lake as a service.

The Cloudera Data Warehouse is based on the Cloudera Data Platform (CDP), which involves more than 30 open source technologies.

Exasol is a massively parallel, shared-nothing, columnar (with compression), in-memory data warehousing solution.

Greenplum is a massively parallel shared-nothing data warehouse based on a PostgreSQL kernel.

IBM Db2 Event Store is an in-memory database built on top of Apache Spark, intended to support both near real-time and deep analytics on historic data.

Starburst Data provides commercial support for Apache Presto as well as Starburst Enterprise.

Teradata Vantage effectively consists of a merger between what was previously simply Teradata Database, and Aster Analytics.

Vertica is a massively parallel, columnar database with advanced compression capabilities.

Yellowbrick Data Warehouse is a massively parallel data warehouse available on-premises as an appliance or there is a multi-cloud option.

Time-series databases represent the fastest growing database sector over the last two years.

TrendMiner is a self-service analytics solution designed for domain experts within the process manufacturing space.

Teradata Vantage is the only product that we are aware of that has all the 4D capabilities that you might need.

Trendalyze describes its core capability as the discovery of motifs (micro-trends) and anomalies within time series data.

Spotfire is a broad, general-purpose analytics offering that encompasses data visualisation, business intelligence, analytics and data preparation.

Interana is a self-service platform for “behavioural discovery and analysis” that is intended for use by business analysts.

VictoriaMetrics offers long-term remote storage for Prometheus, which is a Linux Foundation open source time-series database and monitoring system.

TimescaleDB is built on top of PostgreSQL as a database intended to specifically support the requirements of time-series data.

This paper explores “dimensional analytics”, by which we mean analytics that requires an understanding of the dimensions of time and space.

TIBCO Data Science is an analytics and data science platform with a notably broad remit. This focuses on the model management capabilities of the product.

Teradata AnalyticOps Accelerator is a software and services offering comprised of best practices, proven design patterns, and tried-and-tested code.

SAS offers a variety of products (Model, Decision and Workflow Managers) built around the idea of operationalising your analytics.

IBM Watson OpenScale is a platform that is specifically targeted at operationalising AI (augmented intelligence) models.

Experian PowerCurve is a decision management platform upon which the company delivers a variety of customer-centric and analytically driven decision solutions.

CHAOSSEARCH is a cloud-native, long-term log and event analytics service running on Amazon S3.

Limited, or no, technological capability with respect to AI is holding many companies back. This paper discusses how IBM Cloud Pak for Data can help.

Predictive analytics refers to the ability to predict events before they occur, allowing you to take remedial action in advance. Prescriptive analytics extends this concept by either suggesting the actions you should take or automating those actions.

While this paper focuses on Software AG Apama it is not a review of Apama per se, but rather of Software AG’s approach to IoT Analytics.

Ixiwa might best be described as a data lake management product that covers everything from automated ingestion, through discovery and cataloguing to data preparation.

Memgraph is a property graph database targeted primarily at hybrid analytic and transactional environments.

The Cray Graph Engine is an RDF database that runs on a variety of Cray hardware platforms.

ArangoDB is a multi-model database that supports document (JSON), key-value and property graph capabilities with one database core and one declarative query language.

Neo4j is a labelled, property graph database with a native engine that is targeted at operational and hybrid operational/analytic use cases.

Grakn is a graph-based platform for developing cognitive and other applications leveraging artificial intelligence.

This paper focuses on the synergies between the products that SentryOne has been developing and marketing since it was founded, and those which it gained when it acquired Pragmatic Works Software in April 2018.

Data catalogues are hot. Why? Why should you care? What can they do for you?

This paper compares different approaches to reporting against the Oracle E-Business Suite (EBS). Originally published in 2013, revised in 2015, and now in 2018.

A look at how by combining CPM and BI capability, Board International offers insight that separate technologies cannot match.

Trendalyze describes its core capability as the discovery of motifs (and anomalies) within time series data. You can think of a motif as a micro-pattern but it is more accurately a shape. Once a motif of interest is discovered, or…

The UK government has little option but to rethink the way it operates by moving beyond digital transformation to digital reinvention.

In this paper, we have identified the potential significance of a wide range of data-based technologies that impact on the move to a data-driven environment.

There are many SQL on Hadoop engines, but they are suited to different use cases: this report considers which engines are best for which sets of requirements.

The Internet of Things can best be imagined as a concentric series of capabilities that start at the edge with sensors and devices of various kinds.

Over the last few years graph databases have been the fastest growing sector within the database market ...

This Market Report discusses the latest trends in this market, along with a detailed assessment of the leading vendors in the market

This Market Update discusses the latest trends in this market, along with our assessment of the leading vendors in the market.

While the distinctive features of financial reporting are re-iterated (briefly) from the previous version of this paper the focus is on EPM.

This paper discusses the EU's forthcoming General Data Protection Regulation (GDPR) not from a legal perspective but from the point of view of data management.

This paper discusses the IBM Informix database and its suitability for deployment within Internet of Things (IoT) environments.

This paper initially started as an investigation into comparative pricing for BI solutions and then evolved into a consideration of TCO for such environments.

Despite its being over 20 years old, Qlik uses - and has always used - technologies that are now all the rage.

IBM is in the vanguard for what it calls an enhanced 360° view and it is clearly well positioned to capitalise on the future growth of this market.

In this paper we will discuss why we believe that extending the traditional 360° view makes sense and we will give some uses that demonstrate why the extended it represents an opportunity.

InterSystems Ensemble is not quite like any other product in the market ...

There has been some significant criticism of the concept of big data recently, notably in the Harvard Business Review criticising the Google Flu Trends...

In this paper we will describe some of the key analytic areas that are important to telecommunications companies and discuss the argument in favour of using third party analytic application providers.

Usage-based billing services, and provision usage analytics input as a service, will be an important feature of the next-generation software-driven and service-oriented businesses.

We take a close look at IBM pureScale Application System and Oracle Exadata X2-2, comparing their scalability, clustering technology, performance, implementation and administration ease, and costs.

Agile BI is a marketing term often used but rarely defined, and I want to start to define and describe what it is

Sybase IQ is a column-based relational database that has been designed specifically for analytics and business intelligence applications.

Interactive Medica's SaaS-based Application Suite is optimised for Life Sciences companies. CRM, KAM embedded analytics and KPI dashboards are included.

Some thoughts on GIS and spatial analytics

The basic theme of this paper is to provide a comprehensive comparison of IBM and Oracle's offerings for data warehousing and OLTP.

Whether it is to better understand customer behaviour, optimise your supply chain or to recognise and prevent fraud, it should be clear that there is significant value to be derived from advanced analytics and in-database analytics as a discipline.

In-place analytics processing will mean that network bottlenecks can be eliminated, while the high performance processing should deliver significantly faster time to insight.

There is significant value to be derived from advanced analytics and its implementation in-database.

There are certain rules that all suppliers of embedded database products to OEMs and ISVs must follow.

In this white paper we are concerned with analytic environments where it is important to be able to include web-based data within your analyses.

The primary value in analytic warehouses is in supporting complex and ad hoc analytic queries with sufficient performance to meet business needs and support service level agreements.

The drunkard's walk is a concept used within probability theory and it has application within various aspects of IT. I had better start by explaining what it is. Actually, I'll start by...

The value of business intelligence software as a decision support tool is well established but is presently a long way short of what it might be.