Operational Databases - Further Information

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

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

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.

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.

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.

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.

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.

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.

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

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

This paper discusses the sorts of features needed to support HTAP processing and then considers the capabilities of EsgynDB within this context.

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.

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

This paper discusses the use of the IBM Informix database in the cloud and, more particularly, within hybrid cloud environments.

This paper discusses the various issues that surround database performance monitoring and how we believe that they should be addressed