Data at Rest - Further Information

This Bloor Market Update report is an overview of the current data warehouse database market, assessing the leading vendors.

This report examines and evaluates the InterSystems IRIS Data Platform.

This market update is an overview of the Master Data Management (MDM) market in 2022, covering leading vendors, market dynamics and current trends.

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

The data warehouse market has been around for over three decades, but has undergone some rapid change in the last few years.

This report discusses Ingres NeXt, Actian’s flexible and comprehensive approach to digital transformation through database and application modernisation.

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

This report summarises the current state of the master data management (MDM) market at a high level, assessing the leading vendors in the space.

Federated master data management is a new and vital approach for trusted data in the modern enterprise.

Datactics is a data quality platform oriented around self-service. It provides solutions for data quality, data matching, and single customer view.

Data Ladder provides a data quality management suite that includes all the sorts of capabilities that one would expect.

DQ Global offers a number of different products, all of which are focused on data quality and all of which are targeted at customer data.

D&B Optimizer is a data quality offering targeted at B2B environments and it is aimed at managing both customer and supplier relationships.

Experian Aperture Data Studio is a data quality and enrichment platform that includes data profiling and data quality analysis.

Global IDs’ product portfolio consists of a number of individual tools within the Data Ecosystem Evolution Platform.

The Syniti Knowledge Platform (previously BackOffice Associates) is a single product providing a unified solution for data management.

This (Cloud) Data Management report compares platform-based approaches that support data integration to/from cloud-based deployments.

The basic concept behind the Talend Data Fabric is to allow you to collect, govern, transform, and share your data.

SOLIXCloud is a cloud data management platform from Solix Technologies that provides four primary solutions.

The Qlik Data Integration Platform is essentially a melding of the capabilities provided through the acquisitions of Podium Data and Attunity.

Oracle’s data management capabilities span the establishment of (cloud-based) data warehouses and data lakes.

The Intelligent Data Platform encompasses data integration, quality, governance, MDM, cataloguing, privacy, application integration, and more.

IBM Cloud Pak for Data places particular emphasis on deploying, developing and managing AI and machine learning models.

The Lumada DataOps Suite from Hitachi Vantara supports everything from ingestion through to analysis and dashboards.

Cloudera Data Platform offers data integration, data governance, data cataloguing and transformation capability but not data quality per se.

Ataccama ONE encompasses data integration, data cataloguing, data profiling and data quality, and both reference and master data management.

MarkLogic Data Hub is a fully cloud-native platform for data storage, integration, operationalisation and governance.

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

CloverDX describes its flagship product as an enterprise data management platform. In practice, its capabilities hew closer to data integration.

Matillion ETL is a cloud-native data integration tool. However, it is misnamed: it should really be Matillion ELT.

Fivetran is a fully managed cloud-native data integration solution that offers ELT technology with ongoing synchronisation.

Astera Centerprise is a data integration solution for environments with complex requirements, which can be extended with Astera ReportMiner and EDIConnect.

Actian DataConnect is a (data) integration offering the intent of which is to allow anyone to connect anything, anywhere, at any time.

SnapLogic's Intelligent Integration Platform supports both application integration and API integration as well as data integration.

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.

When you want to query data that spans multiple sources, should you move said data or leave it in place?

This is a comparative analysis of products/vendors within the data warehouse and analytics platform space.

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.

IBM Informix is an object-relational database with native support for both time-series and geospatial data.

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

QuasarDB is a NewSQL column-oriented, time-series, distributed database that uses a peer-to-peer approach to support QuasarDB clusters.

FaunaDB is a serverless cloud database that offers global access to data via APIs such as GraphQL without sacrificing data consistency.

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.

Redis Enterprise is an in-memory, distributed (automated partitioning), NoSQL database with a key-value store as its underpinning.

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

MemSQL is a scale-out distributed database, with a lock-free architecture that supports both row and column storage. They target Fortune 1000 companies.

This paper discusses Franz AllegroGraph, a highly secure, semantic, RDF-based graph database available in-cloud and on-premises.

Multi-model databases are becoming increasingly popular. This paper discusses these in general, and Redis in particular.

There are multiple ways in which databases that support real-time operational/transactional and analytic processing may be implemented. This report compares representative samples of each.

VoltDB uses a shared-nothing architecture to achieve database parallelism, with both data and processing distributed across all the CPU cores within the servers composing a VoltDB cluster.

TigerGraph is a native graph parallel database that is available both in on-premises and cloud versions.

Redis is an in-memory, multi-model database platform.

NuoDB looks relational and leverages SQL but isn’t relational under the covers.

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

MongoDB is an open source, distributed, NoSQL document-oriented database that stores JSON documents.

MemSQL is a scale-out distributed, relational database, with a lock-free architecture that supports both row and column storage.

MariaDB Platform X3 is an offering that combines the transactional capabilities of MariaDB TX with the analytic functionality provided by MariaDB AX.

GridGain started life as an in-memory data grid. The option to act as an in-memory database means that it is now, technically, an IMC platform rather than just a data grid.

DataStax Enterprise is a distributed NoSQL database, using CQL, that is oriented towards (though not exclusive to) cloud and hybrid-cloud architectures.

CrateDB is targeted specifically at IoT applications and ingesting and processing machine data, and it can be deployed both at the edge and more centrally.

Couchbase Server is an open source, shared nothing, distributed, NoSQL multi-model, document-oriented database that stores JSON documents.

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.

Actian X is a hybrid database that combines what used to be known as Ingres and what was previously VectorWise.

InterSystems IRIS contains a multi-model database that stores data in multi-dimensional arrays.

GigaSpaces InsightEdge is a cloud-native, microservice-based architecture for cloud, on-premises, or hybrid environments.

Aerospike is a distributed, massively parallel, NoSQL database with a three-tier architecture

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.

This Market Update covers best-of-breed products for data warehouse automation (DWA) and data lake automation (DLA).

Infoworks automates all the steps required for Hadoop deployments from ingestion through to the generation of OLAP cubes and/or the creation of data science models.

The Magnitude Information Engine is based on what used to be Kalido, which was originally developed by Royal Dutch Shell as a means of speeding up the creation of its data warehouses.

WhereScape provides a selection of software products that revolve around automating the full lifecycle of the data warehouse.

Attunity Compose is a data warehouse automation solution that can automatically create analytics-ready data structures on both data warehouses and data lakes.

Trivadis started to develop what is now biGENiUS in 2005, consolidating its efforts in the data warehousing automation space resulting in the launch of biGENiUS in 2018.

This is the third Market Update into the graph database market, considering and comparing both property graph and RDF databases.

Reltio’s “modern data management” platform provides a native cloud environment that enables the deployment of data-driven applications for a variety of use cases.