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Big data
AnzoGraph DB logo
AnzoGraph DB

By Cambridge Semantics

Massively scalable graph database for analytics and data harmonization

(1)

Red Hat Container Storage logo
Red Hat OpenShift Container Storage

By Red Hat, Inc (Container Storage)

Dynamic, shared, and highly available storage for OpenShift applications

(2)

Starburst Data logo
Starburst Enterprise Presto

By Starburst Data, Inc

A fully supported, production-tested and expanded distribution of the open source Presto SQL query engine. Built to ensure Presto security, performance, and connectivity to meet the needs for big data access at scale.

(0)

InsightEdge logo
GigaSpaces InsightEdge

By GigaSpaces Technologies, Inc

Runs services and machine learning models in production, at extreme speed and scale, across on-premise, cloud and hybrid.

(6)

Couchbase  Server logo
Couchbase Server Enterprise Edition

By Couchbase

Develop with agility and deploy on any cloud, at any scale. Couchbase Autonomous Operator 2.0 is a landmark release that’s built to take advantage of the latest Kubernetes improvements in the areas of security and custom resources.

(65)

Robin Storage logo
Robin Storage

By Robin.io

Robin Storage is a purpose-built container-native storage solution that brings advanced data management capabilities to OpenShift.

(0)

MemSQL logo
MemSQL

By MemSQL

Cloud-native, operational database built for SPEED, SCALE and SQL. 10X the performance at 1/3rd the cost of traditional database providers.

(61)

Federator.ai logo
Federator.ai

By ProphetStor Data Services, Inc

Federator.ai helps enterprises optimize cloud resources, maximize application performance, and save significant cost without excessive over-provisioning or under-provisioning of resources, meeting the service-level requirements of their applications.

(0)

PlanetScale Operator for Vitess logo
PlanetScaleDB Operator

By PlanetScale

The cloud-native way to run Vitess, a database sharding system for horizontal scaling of MySQL.

(0)

Hazelcast Jet logo
Hazelcast Jet

By Hazelcast

Build fault-tolerant and distributed data pipelines that transform and aggregate data in real-time data at constant low latencies. First-class support for Apache Kafka, Hadoop, Hazelcast and many other data sources and sinks.

(0)