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Operational Databases - Further Information

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DATABASE TECHNOLOGY FOR THE 2020s White Paper cover thumbnail

Database technology for the 2020s

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

Hybrid real-time data processing

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.
00002491 - VOLTDB InBrief cover thumbnail

VoltDB

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 InBrief cover thumbnail

TigerGraph

TigerGraph is a native graph parallel database that is available both in on-premises and cloud versions.
REDIS ENTERPRISE InBrief cover thumbnail

Redis Enterprise

Redis is an in-memory, multi-model database platform.
NUODB InBrief cover thumbnail

NuoDB

NuoDB looks relational and leverages SQL but isn’t relational under the covers.
NEO4J for HTAP InBrief cover thumbnail

Neo4j

Neo4j, is a labelled, property graph database with a native engine that is targeted at operational and hybrid operational/transactional and analytic use cases.
00002486 - MONGODB InBrief cover thumbnail

MongoDB

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

MemSQL

MemSQL is a scale-out distributed, relational database, with a lock-free architecture that supports both row and column storage.
MARIA DB PLATFORM X3 InBrief cover thumbnail

MariaDB Platform X3

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

GridGain Systems

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.
00002480 - DATASTAX ENTERPRISE InBrief cover thumbnail

DataStax Enterprise

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

CrateDB

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 InBrief cover thumbnail

Couchbase Server

Couchbase Server is an open source, shared nothing, distributed, NoSQL multi-model, document-oriented database that stores JSON documents.
ARANGO DB for HTAP InBrief cover thumbnail

ArangoDB

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 InBrief cover thumbnail

Actian X

Actian X is a hybrid database that combines what used to be known as Ingres and what was previously VectorWise.
00002473 - INTERSYSTEMS InBrief cover thumbnail

InterSystems IRIS

InterSystems IRIS contains a multi-model database that stores data in multi-dimensional arrays.
00002482 - GIGASPACES INSIGHTEDGE InBrief cover thumbnail

GigaSpaces InsightEdge

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

Aerospike

Aerospike is a distributed, massively parallel, NoSQL database with a three-tier architecture
Cover for EsgynDB and HTAP

EsgynDB and HTAP

This paper discusses the sorts of features needed to support HTAP processing and then considers the capabilities of EsgynDB within this context.
Cover for What's Hot in Data?

What’s Hot in Data

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.
Cover for All about graphs: a primer

All about graphs: a primer

Over the last few years graph databases have been the fastest growing sector within the database market ...
Cover for IBM Informix on Cloud

IBM Informix on Cloud

This paper discusses the use of the IBM Informix database in the cloud and, more particularly, within hybrid cloud environments.
Cover for Database performance management

Database performance management - the importance of time-based analysis

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