Page 57 | Best Data Management Software of 2026

Macrometa

We deliver a geo-distributed real-time database, stream processing and compute runtime for event-driven applications across up to 175 worldwide edge data centers. App & API builders love our platform because we solve the hardest problems of sharing mutable state across 100s of global locations, with strong consistency & low latency. Macrometa enables you to surgically extend your existing infrastructure to bring part of or your entire application closer to your end users. This allows you to improve performance, user experience, and comply with global data governance laws. Macrometa is a serverless, streaming NoSQL database, with integrated pub/sub and stream data processing and compute engine. Create stateful data infrastructure, stateful functions & containers for long running workloads, and process data streams in real time. You do the code, we do all the ops and orchestration.

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Memgraph

Memgraph offers a light and powerful graph platform comprising the Memgraph Graph Database, MAGE Library, and Memgraph Lab Visualization. Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently. It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice in critical decision-making scenarios such as risk assessment (fraud detection, cybersecurity threat analysis, and criminal risk assessment), 360-degree data and network exploration (Identity and Access Management (IAM), Master Data Management (MDM), Bill of Materials (BOM)), and logistics and network optimization.

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Google Cloud Datastore

Google

Datastore is a highly scalable NoSQL database for your applications. Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle your applications' load. Datastore provides a myriad of capabilities such as ACID transactions, SQL-like queries, indexes, and much more. With Datastore's RESTful interface, data can easily be accessed by any deployment target. You can build solutions that span across App Engine and Compute Engine and rely on Datastore as the integration point. Focus on building your applications without worrying about provisioning and load anticipation. Datastore scales seamlessly and automatically with your data, allowing applications to maintain high performance as they receive more traffic.

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Azure Cache for Redis

Microsoft

As traffic and demands on your app increase, scale performance simply and cost-effectively. Add a quick caching layer to the application architecture to handle thousands of simultaneous users with near-instant speed—all with the benefits of a fully managed service. Superior throughput and performance to handle millions of requests per second with sub-millisecond latency. Fully managed service with automatic patching, updates, scaling, and provisioning so you can focus on development. RedisBloom, RediSearch, and RedisTimeSeries module integration, supporting data analysis, search, and streaming. Powerful capabilities including clustering, built-in replication, Redis on Flash, and availability of up to 99.99 percent. Complement database services like Azure SQL Database and Azure Cosmos DB by enabling your data tier to scale throughput at a lower cost than through expanded database instances.

Starting Price: $1.11 per month

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Lumen Relational DB

Lumen

Relational DB supports rapid software delivery requirements by providing speedy access to a high performance, enterprise-hardened relational database instance built on our high performance cloud platform. Our datbase-as-a-service gives you a working database instance in no time, without any of the headaches associated with deploying the underlying compute infrastructure. And just as importantly, you can easily scale resources at the click of a button as your needs change. Software development today happens at warp-speed, so no one can afford long lead times to deploy physical database infrastructure. Lumen’s Relational DB service expedites access to an enterprise-hardened relational database instance, which means your team will be uploading data and digging into application development in minutes. The Lumen Relational DB service is deployed on our high performance cloud platform.

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Count

Count is a fully collaborative and reactive data whiteboard. It brings together all the flexibility and creativity of a whiteboard, with the power of a SQL IDE, and the reactivity of BI notebooks. It makes it easy to break apart complex SQL queries and data models into interconnected cells to better understand the logic. Add sticky notes and visuals to help explain your work to stakeholders. Collaborate with other analysts or stakeholders as you build so you can get feedback faster. Turn any canvas into an interactive report or slideshow presentation.

Starting Price: $34 per editor per month

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Accern

The Accern No-Code NLP Platform empowers domain experts and business analysts to extract the most accurate insights from massive streams of unstructured data–including news, social media, industry reports and internal documents—within minutes. Accern offers pre-built AI/ML/NLP solutions to minimize time to value and maximize ROI for equity research, credit risk, M&A activity, ESG performance, insurance claims, fraud prevention, sanctions monitoring and more. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end AI/ML/NLP workflows with BYO datasets, taxonomies, models and pre-integrated dashboards and DSML platforms. In production at companies like Allianz, William Blair and Mizuho Bank, Accern accelerates innovation by enhancing existing models and enriching BI dashboards.

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GUN

amark

Realtime, decentralized, offline-first, graph database engine. The data that needs to stored, loaded, and shared in your app without worrying about servers, network calls, databases, or tracking offline changes or concurrency conflicts. GUN is a small, easy, and fast data sync and storage system that runs everywhere JavaScript does. The aim of GUN is to let you focus on the data that needs to be stored, loaded, and shared in your app without worrying about servers, network calls, databases, or tracking offline changes or concurrency conflicts. This lets you build cool apps fast. GUN gives you the most powerful weapons of the internet — decentralization and real privacy — to reclaim the web and make it truly free and open. GUN is a database engine that runs everywhere JavaScript does — browsers, mobile devices and servers, allowing you to build exactly the data system you want.

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Blazegraph

Blazegraph™ DB is a ultra high-performance graph database supporting Blueprints and RDF/SPARQL APIs. It supports up to 50 Billion edges on a single machine. It is in production use for Fortune 500 customers such as EMC, Autodesk, and many others. It is supporting key Precision Medicine applications and has wide-spread usage for life science applications. It is used extensively to support Cyber analytics in commercial and government applications. It powers the Wikimedia Foundation's Wikidata Query Service. You can choose an executable jar, war file, or tar.gz distribution. Blazegraph is designed to be easy to use and get started. It ships without SSL or authentication by default for this reason. For production deployments, we strongly recommend you enable SSL, authentication, and appropriate network configurations. There are some helpful links below to enable you to do this.

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Apache Giraph

Apache Software Foundation

Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale. Apache Giraph is an iterative graph processing framework, built on top of Apache Hadoop.

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Fluree

Fluree is an immutable RDF graph database written in Clojure and adhering to W3C standards, supporting JSON and JSON-LD while accommodating various RDF ontologies; it boasts a scalable, cloud-native architecture utilizing a lightweight Java runtime, with individually scalable ledger and graph database components, embodying a "Data-Centric" ideology that treats data as a reusable asset independent of singular applications, underpinned by an immutable ledger that secures transactions with cryptographic integrity, alongside a rich RDF graph database capable of various queries, and employs SmartFunctions for enforcing data management rules, including identity and access management and data quality.

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Grakn

Grakn Labs

Building intelligent systems starts at the database. Grakn is an intelligent database - a knowledge graph. An insanely intuitive & expressive data schema, with constructs to define hierarchies, hyper-entities, hyper-relations and rules, to build rich knowledge models. An intelligent language that performs logical inference of data types, relationships, attributes and complex patterns, during runtime, and over distributed & persisted data. Out-of-the-box distributed analytics (Pregel and MapReduce) algorithms, accessible through the language through simple queries. Strong abstraction over low-level patterns, enabling simpler expressions of complex constructs, while the system figures out the most optimal query execution. Scale your enterprise Knowledge Graph with Grakn KGMS and Workbase. A distributed database designed to scale over a network of computers through partitioning and replication.

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Memstate

Build high quality, mission critical applications with real-time performance at a fraction of the time and cost. Memstate is a new. Moving data back and forth between disk and RAM is not just extremely inefficient, it requires multiple layers of complex software that can be eliminated entirely. Use Memstate to structure and manage your data in-memory, obtain transparent persistence, concurrency control and transactions with strong ACID guarantees. note: this is too techy... Make your applications 100x faster, and your developers 10x more productive. Memstate has many possible use cases but is designed primarily to handle complex OLTP workloads in a typical enterprise application. In-memory operations are orders of magnitude faster than disk operations. A single Memstate engine can execute millions of read transactions and tens of thousands of write transactions per second, all at submillisecond latency.

Starting Price: €200 per GB RAM per server

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HyperGraphDB

Kobrix Software

HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database, or a (non-SQL) relational database. HyperGraphDB is a storage framework based on generalized hypergraphs as its underlying data model. The unit of storage is a tuple made up of 0 or more other tuples. Each such tuple is called an atom. One could think of the data model as relational where higher-order, n-ary relationships are allowed or as graph-oriented where edges can point to an arbitrary set of nodes and other edges. Each atom has an arbitrary, strongly-typed value associated with it. The type system managing those values is embedded as a hypergraph and customizable from the ground up.

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RecallGraph

RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present. RecallGraph is a potential fit for scenarios where data is best represented as a network of vertices and edges (i.e., a graph) having the following characteristics: 1. Both vertices and edges can hold properties in the form of attribute/value pairs (equivalent to JSON objects). 2. Documents (vertices/edges) mutate within their lifespan (both in their individual attributes/values and in their relations with each other). 3. Past states of documents are as important as their present, necessitating retention and queryability of their change history. Also see this blog post for an intro - https://blog.recallgraph.tech/never-lose-your-old-data-again.

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Graph Story

Companies that opt for a DIY approach for their graph database can expect 2 to 3 months for a production-ready implementation. With Graph Story’s managed service, your production-ready database is available within minutes. Learn more about graph use cases as well as see a comparison between self-hosting and using a managed service. We can deploy where your servers already live: AWS, Azure, or Google Compute Engine, in any region. Need VPC peering or IP-restricted access? Just let us know. We're flexible like that. Building a proof of concept? Fire up a single, enterprise graph instance with a few clicks. Need to move up to a high-availability, production-ready cluster on-demand? We've got you covered! We built graph db management tools so you don't have to! See CPU, Memory and Disk utilization at glance. Get access to configs, logs, backup your database & restore snapshots.

Starting Price: $299 per month

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HugeGraph

HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.

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Trustgrid

Trustgrid is the SD-WAN for application providers. The Trustgrid platform uniquely addresses the needs of SaaS application providers who rely on remote systems. By combining an SD-WAN 2.0, edge computing, and zero trust remote access into a single platform we allow software providers to manage and support distributed application environments from the cloud to the edge. With the Trustgrid platform you can: • Build cloud to on-premise networks at scale • Manage and support 100s of networks from a single pane of glass • Control on-premise apps and appliances as if they were in the cloud • Run and support Docker containers in any cloud or on-premise • Provide your support teams secure access to edge application environments Simplify connectivity, enhance security, and guarantee network availability with Trustgrid.

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PCmover® Enterprise

Laplink Software

PCmover® Enterprise is the ONLY tool recommended by Microsoft and Intel and will save hours of IT time and resources throughout your PC hardware and OS refreshes – more than $300 per PC according to industry research Enterprises and large organizations can save over 60% on both hard and soft costs when using PCmover®. It's Microsoft's only recommended migration solution that can be used for all types of transfer scenarios - break/fix, ongoing PC and OS refreshes for any size network. Remote Home Office Migrations - PCmover® Enterprise wins in direct competition over USMT and other tools by meeting demands by central IT departments. Key Features: - Automated PC Migrations - Multiple PC Migration Scenarios - Simple Implementation - Enterprise Class Support - Zero-Touch PC Migrations - Remote PC Migrations

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Apache Druid

Druid

Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.

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Axon Data Governance

Informatica

Your teams need consistent, trusted data to support data-driven decision making. Make sure they have it with integrated, automated, intelligent data governance at scale. Axon Data Governance is the collaboration hub and data marketplace for successful, scalable data governance programs. Easily identify stakeholders and facilitate knowledge transfer across communities so teams can learn from each other. Ensure that teams can quickly find, access, and understand the data they need to uncover analytics insights with a carefully curated data marketplace. Use governed data to fuel key initiatives (such as improving customer experience) and deliver consistent, trusted results across your organization. Build governance and data privacy into your processes and projects from the start to support compliance with regulations like GDPR and CCPA. Develop a common data dictionary to provide a consistent source of business context across multiple tools.

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Ethyca

Let Ethyca do the legwork for all CCPA & GDPR tasks. Save your team hours of effort with an instant, birds-eye view of the business’s data supply chain. Ethyca makes Subject Access, Edit, & Erasure Requests light work or if your team prefers, no work at all. Automate the return of all user data categorized by processing activities upon request. Automate the ability for Subjects to select and rectify their data records with Ethyca’s ability to retrieve individual attributes. Automate CCPA compliance by letting Ethyca process all “do not sell my data” Requests. You could run around the office every day trying to update your users’ consent preferences. Or you could just use Ethyca. Ethyca links cookie consent to processing activities for each user’s personal data record. Ethyca comes with a custom-branded, easy-to-use interface to let your users manage their consent.

Starting Price: $449 per month

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Lenses

Lenses.io

Enable everyone to discover and observe streaming data. Sharing, documenting and cataloging your data can increase productivity by up to 95%. Then from data, build apps for production use cases. Apply a data-centric security model to cover all the gaps of open source technology, and address data privacy. Provide secure and low-code data pipeline capabilities. Eliminate all darkness and offer unparalleled observability in data and apps. Unify your data mesh and data technologies and be confident with open source in production. Lenses is the highest rated product for real-time stream analytics according to independent third party reviews. With feedback from our community and thousands of engineering hours invested, we've built features that ensure you can focus on what drives value from your real time data. Deploy and run SQL-based real time applications over any Kafka Connect or Kubernetes infrastructure including AWS EKS.

Starting Price: $49 per month

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Amazon MSK

Amazon

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.

Starting Price: $0.0543 per hour

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Apache Ranger

The Apache Software Foundation

Apache Ranger™ is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform. The vision with Ranger is to provide comprehensive security across the Apache Hadoop ecosystem. With the advent of Apache YARN, the Hadoop platform can now support a true data lake architecture. Enterprises can potentially run multiple workloads, in a multi tenant environment. Data security within Hadoop needs to evolve to support multiple use cases for data access, while also providing a framework for central administration of security policies and monitoring of user access. Centralized security administration to manage all security related tasks in a central UI or using REST APIs. Fine grained authorization to do a specific action and/or operation with Hadoop component/tool and managed through a central administration tool. Standardize authorization method across all Hadoop components. Enhanced support for different authorization methods - Role based access control etc.

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CData Connect

CData Software

CData Connect Your organization depends on real-time business and operational data to deliver actionable insights and drive growth. CData Connect is the missing link in your data value chain. CData Connect enables direct connectivity from any application that supports standard database connectivity, including popular cloud BI and ETL applications, such as: - Amazon Glue - Amazon QuickSight - Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud - SAS Cloud - SAS Viya - Tableau Online ... and many more! CData Connect acts like a data gateway, translating SQL, and securely proxying API requests.

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BPRISE

BPRISE is an advertising and marketing technology firm that brings brands and retailers closer to their mobile-first customers in the online and offline space through ads triggered at relevant locations and measures the impact of ads on conversion and engagement. Our Solution: A Marketing Suite To Engage Your Digital-First Customers Offline And Online. The marketing suite ‘BPRISE Blend’ optimizes the reach of ad campaigns, captures the depth of marketing attribution and visualizes customer journey through the purchase funnel to accurately measure the ROI of digital advertising. Advertisers: Achieve One To One Personalization In Digital Advertising. When is a DSP the answer to maximizing the ROI of your ad spend while speaking with each customer individually? Brands: Gain True Customer Intelligence Of Your Human Consumers. What are the customer insights from online and offline sources that help form profitable customer segments?

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Turnkey Intelligence

ActualConversion

Easy to understand business intelligence is now accessible for EVERY business. No coding, no integration, no building of complex dashboards. Its ready to go! All your insights in one dashboard A pre-built home dashboard that summarises all your marketing reporting and insights in one place, that offers one unit of measure that puts all platforms on a common scale so you can see easily which activities and channel are performing. Works on desktop, tablet and mobile ready. Take the complexity out of your business metrics and have access to easy-to-interpret insights with the simplified dashboard of Turnkey Intelligence. Turnkey Intelligence is designed to put business users and marketing specialists on the same page. It takes just a few seconds to know what's performing and what's under-performing. Our easy-to-use platform will be up and running in minutes. No coding or technical work needed. View all your business data, insights, and marketing campaigns on one dashboard.

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Vaultspeed

VaultSpeed

Experience faster data warehouse automation. The Vaultspeed automation tool is built on the Data Vault 2.0 standard and a decade of hands-on experience in data integration projects. Get support for all Data Vault 2.0 objects and implementation options. Generate quality code fast for all scenarios in a Data Vault 2.0 integration system. Plug Vaultspeed into your current set-up and leverage your investments in tools and knowledge. Get guaranteed compliance with the latest Data Vault 2.0 standard. We are in continuous interaction with Scalefree, the body of knowledge for the Data Vault 2.0 community. The Data Vault 2.0 modelling approach strips the model components to their bare minimum so they can be loaded through the same loading pattern (repeatable pattern) and have the same database structure. Vaultspeed works with a template system, which understands the structure of the object types, and easy-to-set configuration parameters.

Starting Price: €600 per user per month

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Moon Modeler

Ideamerit

Moon Modeler is a powerful and user-friendly data modeling tool tailored for NoSQL databases. It supports MongoDB and Mongoose ODM out of the box, and can also be used with Amazon DocumentDB, Azure Cosmos DB, and similar document-oriented databases. Supported platforms: - MongoDB - Mongoose ODM Key features: - Data modeling and schema design - Reverse engineering from MongoDB - Support for SSH/SSL/TLS connections - Hierarchical structures, embedded documents/nested objects - Generation of interactive HTML reports - Generation of schema validation or creation scripts - Various themes and styles for reports - Multiple display modes - Support for sub-diagrams

Starting Price: $99 one-time payment

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Best Data Management Software - Page 57

Compare the Top Data Management Software as of January 2026 - Page 57

Macrometa

Memgraph

Google Cloud Datastore

Azure Cache for Redis

Lumen Relational DB

Count

Accern

GUN

Blazegraph

Apache Giraph

Fluree

Grakn

Memstate

HyperGraphDB

RecallGraph

Graph Story

HugeGraph

Trustgrid

PCmover® Enterprise

Apache Druid

Axon Data Governance

Ethyca

Lenses

Amazon MSK

Apache Ranger

CData Connect

BPRISE

Turnkey Intelligence

Vaultspeed

Moon Modeler

Best Data Management Software - Page 57

Compare the Top Data Management Software as of January 2026 - Page 57

Macrometa

Memgraph

Google Cloud Datastore

Azure Cache for Redis

Lumen Relational DB

Count

Accern

GUN

Blazegraph

Apache Giraph

Fluree

Grakn

Memstate

HyperGraphDB

RecallGraph

Graph Story

HugeGraph

Trustgrid

PCmover® Enterprise

Apache Druid

Axon Data Governance

Ethyca

Lenses

Amazon MSK

Apache Ranger

CData Connect

BPRISE

Turnkey Intelligence

Vaultspeed

Moon Modeler

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