Alternatives to Apache Cassandra

RavenDB is a pioneering NoSQL Document Database. It is fully transactional (ACID across your database and within your cluster). Our open-source distributed database has high availability and high performance, with minimal administration. It is an all-in-one database that is easy to use. This reduces the need to add on tools or support for developers to increase developer productivity and speed up your project's production. In minutes, you can create and secure a data cluster and deploy it in the cloud, on-premise, or in a hybrid environment. RavenDB offers a Database as a Service, which allows you to delegate all database operations to us, so you can concentrate on your application. RavenDB's built-in storage engine Voron can perform at speeds of up to 1,000,000 reads per second and 150,000 write per second on a single node. This allows you to improve your application's performance by using simple commodity hardware.

Amazon DynamoDB, a key-value and document databank, delivers single-digit millisecond performance on any scale. It is a fully managed, multiregional, multimaster, durable database that offers built-in security, backup, restore, and in-memory cache for internet-scale apps. DynamoDB can process more than 10 trillion requests per hour and can handle peak requests of more than 20,000,000 requests per second. Many of the fastest-growing businesses in the world, such as Lyft, Redfin, and Airbnb, as well as enterprises like Samsung, Toyota and Capital One, rely on DynamoDB's scale and performance to support mission-critical workloads.

Couchbase is a NoSQL database unlike other databases. It offers enterprise-class, multicloud-to-edge database capabilities that are robust enough to support business-critical applications on a highly available and scalable platform. Couchbase is a distributed cloud-native, cloud-native database that runs in modern dynamic environments. It can also be used on any cloud, whether it's customer-managed or fully managed-as-a-service. Couchbase is built using open standards. It combines the best of NoSQL and the power and familiarity with SQL to make the transition from relational databases and mainframes easier. Couchbase is now a part of our daily lives. Our customers include Amadeus, American Express and Carrefour, Cisco/Sky, Comcast/Sky as well as industry leaders Cisco/Sky, Comcast/Sky and Disney.

ClickHouse is an open-source OLAP database management software that is fast and easy to use. It is column-oriented, and can generate real-time analytical reports by using SQL queries. ClickHouse's performance is superior to comparable column-oriented database management software currently on the market. It processes hundreds of millions of rows to more than a million and tens if not thousands of gigabytes per second. ClickHouse makes use of all hardware available to process every query as quickly as possible. Peak processing speed for a single query is more than 2 Terabytes per Second (after decompression, only utilized columns). To reduce latency, reads in distributed setups are automatically balanced between healthy replicas. ClickHouse supports multimaster asynchronous replication, and can be deployed across multiple datacenters. Each node is equal, which prevents single points of failure.

CockroachDB: Cloud-native distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services need a database that can scale across clouds, reduces operational complexity, and improves reliability. CockroachDB provides resilient, distributed SQL with ACID transactions. Data partitioned by geography is also available. Combining CockroachDB and orchestration tools such as Mesosphere DC/OS and Kubernetes to automate mission-critical applications can speed up operations.

The Open, Multi-Cloud Stack to Modern Data Apps. Built on Apache Cassandra™, an open-source Apache Cassandra™. Global scale and 100% uptime without vendor lock in You can deploy on multi-clouds, open-source, on-prem and Kubernetes. For a lower TCO, use elastic and pay-as you-go. Stargate APIs allow you to build faster with NoSQL, reactive, JSON and REST. Avoid the complexity of multiple OSS projects or APIs that don’t scale. It is ideal for commerce, mobile and AI/ML. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Richly interactive apps that are viral-ready and elastic using REST, GraphQL and JSON. Pay-as you-go Apache Cassandra DBaaS which scales easily and affordably

Aerospike is the global leader for next-generation, real time NoSQL data solutions at any scale. Aerospike helps enterprises overcome seemingly impossible data bottlenecks and compete with other companies at a fraction of the cost and complexity of legacy NoSQL databases. Aerospike's Hybrid Memory Architecture™ is a patented technology that unlocks the full potential of modern hardware and delivers previously unimaginable value. It does this by delivering unimaginable value from huge amounts of data at both the edge, core, and in the cloud. Aerospike empowers customers with the ability to instantly combat fraud, dramatically increase shopping cart sizes, deploy global digital payment networks, and provide instant, one-to-1 personalization for millions. Aerospike customers include Airtel and Banca d'Italia as well as Snap, Verizon Media, Wayfair, PayPal, Snap, Verizon Media, and Nielsen. The company's headquarters is in Mountain View, California. Additional locations are in London, Bengaluru, India, and Tel Aviv in Israel.

The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.

High-speed, data-intensive apps that meet all performance requirements can be built. Apache Geode's unique technology combines advanced techniques for data replication and partitioning with distributed processing. Apache Geode offers a database-like consistency model, reliable transactions processing, and a shared nothing architecture to maintain very low latency with high concurrency. Data can be easily partitioned (sharded), or replicated among nodes, allowing for performance scaling as required. Reliable in-memory copies are used to ensure durability. Disk-based persistence is also used to ensure longevity. Super fast write-ahead log (WAL) persistence that uses a shared-nothing architecture optimized for parallel recovery of nodes and entire clusters.

Apache Druid, an open-source distributed data store, is Apache Druid. Druid's core design blends ideas from data warehouses and timeseries databases to create a high-performance real-time analytics database that can be used for a wide range of purposes. Druid combines key characteristics from each of these systems into its ingestion, storage format, querying, and core architecture. Druid compresses and stores each column separately, so it only needs to read the ones that are needed for a specific query. This allows for fast scans, ranking, groupBys, and groupBys. Druid creates indexes that are inverted for string values to allow for fast search and filter. Connectors out-of-the box for Apache Kafka and HDFS, AWS S3, stream processors, and many more. Druid intelligently divides data based upon time. Time-based queries are much faster than traditional databases. Druid automatically balances servers as you add or remove servers. Fault-tolerant architecture allows for server failures to be avoided.

You can use Ignite as a traditional SQL Database by leveraging JDBC drivers or ODBC drivers. Or, you can use the native SQL APIs for Java, C# and C++, Python, or other programming languages. You can easily join, group, aggregate, or order your distributed on-disk and in-memory data. You can accelerate your existing applications up to 100x by using Ignite as an in memory cache or in-memory grid that is deployed over one of several external databases. You can query, transact, and calculate on this cache. Ignite is a database that scales beyond your memory capacity to support modern transactional and analytical workloads. Ignite allocates memory to your hot data and writes to disk when applications query cold records. Execute custom code up to kilobytes in size over petabytes. Your Ignite database can be transformed into a distributed supercomputer that can perform low-latency calculations, complex analysis, and machine learning.

Apache HBase™, is used when you need random, real-time read/write access for your Big Data. This project aims to host very large tables, billions of rows and X million columns, on top of clusters of commodity hardware.

Pinot is designed to answer OLAP questions with low latency and immutable data. Pluggable indexing technologies: Sorted Index (Bitmap Index), Inverted Index. Trino and PrestoDB are both available for querying, but joins are not currently supported. SQL-like language that supports selection and aggregation, filtering as well as group by, order, and distinct queries on data. Both an offline and a real-time table are possible. Only use real-time table to cover segments where offline data is not yet available. Customize anomaly detection flow and notification flow to detect the right anomalies.

Kudu clusters store tables that look exactly like the tables in relational (SQL), databases. A table can have a single binary key and value or a multitude of strongly-typed attributes. Every table has a primary key that is made up of one or more columns, just like SQL. This could be a single column, such as a unique user ID, or a compound key, such as a (host.metric.timestamp) tuple to a machine-time-series database. Rows can be easily read, updated, and deleted by their primary keys. Kudu's data model is simple and easy to use. It makes it easy to port legacy applications and build new ones. You can use standard tools such as Spark or SQL engines to analyze your tables. Tables are self-describing. Kudu's APIs were designed to be simple to use.

Amazon Keyspaces (for Apache Cassandra), is a highly available, scalable, and managed Apache Cassandra database service. Amazon Keyspaces allows you to run Cassandra workloads in AWS using the same Cassandra code and developer tools as you use today. You don't need to provision, patch or manage servers. Also, you don't need to install, maintain or operate software. Amazon Keyspaces is completely serverless. This means that you only pay for the resources you use. The service can scale tables automatically to meet the demands of your applications. With virtually unlimited storage and throughput, you can create applications that can serve thousands of requests per minute. Amazon Keyspaces provides the performance, elasticity and enterprise features that you need to run business-critical Cassandra workloads on a large scale.

Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra.

Berkeley DB is a set of embedded key-value databases libraries that provide high-performance data management services for applications.

IBM Cloudant®, a distributed database, is designed to handle heavy workloads common in large, fast-growing web apps and mobile apps. Cloudant is available as an SLA-backed and fully managed IBM Cloud™, service that elastically scales throughput, storage, and both.

GridDB uses multicast communication in order to create a cluster. To enable multicast communication, set the network. First, verify the host name and IP address. To check the settings for an IP address on the host, run "hostname-i" command. If the IP address of your machine is identical to the below, you don't need to adjust network settings and can skip to the next section. GridDB is a database that manages a group (known as a Row) of data that is composed of multiple values and a key. It can be an in-memory database which arranges all data in the memory. However, it can also use a hybrid composition that uses both a disk (including SSD) and a memory.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

Many aspects of the management of data in telecommunications networks are addressed by traditional Database Management Systems. Mnesia is a new DBMS that addresses the requirements of many nonstop systems. Mnesia is tightly coupled to Erlang and is implemented in. It provides the functionality necessary to implement fault-tolerant telecommunications system. Mnesia, a distributed DBMS for multiple users, is specifically designed to support industrial-grade telecommunications applications written using Erlang. This language is also the intended target. Mnesia aims to address all data management issues for typical telecommunications system and offers a number features not found in traditional DBMSs.

MarkLogic's data platform helps you unlock data value, accelerate insights decisions, and achieve data agility in a secure manner. Combine your data and everything you know about it (metadata), in a single platform, to make smarter decisions faster. MarkLogic's data platform provides a trusted, faster way to securely link data and metadata, create meaning and interpret it, and consume high quality contextualized data throughout the enterprise. With a single platform, you can easily enable governed access, compliance, and new insights. MarkLogic is a proven platform that helps you achieve your business and technical goals, now and in the future.

MongoDB is a distributed database that supports document-based applications and is designed for modern application developers. No other database is more productive. Our flexible document data model allows you to ship and iterate faster and provides a unified query interface that can be used for any purpose. No matter if it's your first customer, or 20 million users worldwide, you can meet your performance SLAs in every environment. You can easily ensure high availability, data integrity, and meet compliance standards for mission-critical workloads. A comprehensive suite of cloud database services that allows you to address a wide range of use cases, including transactional, analytical, search, and data visualizations. Secure mobile apps can be launched with native, edge to-cloud sync and automatic conflicts resolution. MongoDB can be run anywhere, from your laptop to the data center.

Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. MonetDB returns queries in seconds, if not faster, when you are curious about your data and when you need to work efficiently. You can (re)use your code when you need specialised function: Use the hooks to add your user-defined functions to SQL, Python R, C/C++, or R. Join us to expand the MonetDB community that spans 130+ countries. We have students, teachers, researchers and small businesses. Join the most important Database in Analytical Jobs to surf the innovation! MonetDB's simple setup will quickly get your DBMS up to speed.

Riak is a distributed systems expert and works with Application teams to overcome distributed system challenges. Riak's Riak®, a distributed NoSQL databank, delivers: Unmatched resilience beyond the typical "high availability" offerings - Innovative technology to ensure data accuracy, and never lose a word. - Massive scale for commodity hardware - A common code foundation that supports true multi-model support Riak®, offers all of this while still focusing on ease-of-use. Choose Riak®, KV flexible key value data model for web scale profile management, session management, real time big data, catalog content management, customer 360, digital message and other use cases. Choose Riak®, TS for IoT, time series and other use cases.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

Riak®, TS is an enterprise-grade NoSQL Time Series Database that is specifically designed for IoT data and Time Series data. It can ingest, transform, store, and analyze massive amounts of time series information. Riak TS is designed to be faster than Cassandra. Riak TS masterless architecture can read and write data regardless of network partitions or hardware failures. Data is evenly distributed throughout the Riak ring. By default, there are three copies of your data. This ensures that at least one copy is available for reading operations. Riak TS is a distributed software system that does not have a central coordinator. It is simple to set up and use. It is easy to add or remove nodes from a cluster thanks to the masterless architecture. Riak TS's masterless architecture makes it easy for you to add or remove nodes from your cluster. Adding nodes made of commodity hardware to your cluster can help you achieve predictable and almost linear scale.

SingleStore (formerly MemSQL), is a distributed, highly-scalable SQL Database that can be run anywhere. With familiar relational models, we deliver the best performance for both transactional and analytical workloads. SingleStore is a scalable SQL database which continuously ingests data to perform operational analysis for your business' front lines. ACID transactions allow you to simultaneously process millions of events per second and analyze billions of rows in relational SQL, JSON geospatial, full-text search, and other formats. SingleStore provides the best data ingestion performance and supports batch loading and real-time data pipelines. SingleStore allows you to query live and historical data with ANSI SQL in a lightning fast manner. You can perform ad-hoc analysis using business intelligence tools, run machine-learning algorithms for real time scoring, and geoanalytic queries in a real time.

TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.

YDB will maintain the state of your application, no matter how large or frequent its modifications. It is no problem to handle petabytes and millions of transactions every second. Create analytical reports based upon data stored in YDB, with performance comparable to database systems built specifically for this use. Consistency and availability cannot be compromised. Use the YDB Topics feature to reliably transmit data between your applications, or consume change data captured from regular tables. You can choose between exactly-once and at least-once semantics. YDB has been designed to work with three availability zones. This ensures availability even if all of the availability zones go offline. It recovers automatically from a disk, data center, or server failure with minimal latency disruptions to applications.

The fastest NoSQL database in the world. The fastest NoSQL database available, capable of millions IOPS per node with less than 1 millisecond latency. This database will accelerate your application performance. Scylla, a drop-in Apache Cassandra and Amazon DynamoDB alternative, powers your applications with extreme throughput and ultra-low latency. To power modern, high-performance applications, we used the best features of high availability databases to create a NoSQL database that is significantly more efficient, fault-tolerant, and resource-efficient. This high-availability database is built from scratch in C++ for Linux. Scylla unleashes your infrastructure's true potential for running high-throughput/low-latency workloads.

The Unified Analytics Warehouse. The Unified Analytics Warehouse is the best place to find high-performing analytics and machine learning at large scale. Tech research analysts are seeing new leaders as they strive to deliver game-changing big data analytics. Vertica empowers data-driven companies so they can make the most of their analytics initiatives. It offers advanced time-series, geospatial, and machine learning capabilities, as well as data lake integration, user-definable extensions, cloud-optimized architecture and more. Vertica's Under the Hood webcast series allows you to dive into the features of Vertica - delivered by Vertica engineers, technical experts, and others - and discover what makes it the most scalable and scalable advanced analytical data database on the market. Vertica supports the most data-driven disruptors around the globe in their pursuit for industry and business transformation.

The Leading Distributed SQL Database with High Performance. Open source, cloud native relational DB that powers global, internet-scale applications. Single-Digit Millisecond latency Create lightning fast cloud applications by serving queries directly to the DB. Massive Scale You can achieve millions of transactions per second and store multiple TTB's of data per Node. Geo-Distribution You can deploy across regions and clouds using synchronous or multimaster replication. Cloud Native Architectures. YugabyteDB makes it easy to develop, deploy, and operate modern applications faster than ever. Develop developer agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate resilient services. Ensure continuous availability, even when the underlying storage, compute, or network fails. Scale On-Demand. You can add or remove nodes as you wish. Over-provisioned clusters are not a good idea. Lower User Latency.

Luna is a subscription for Apache Cassandra support at DataStax. You can enjoy all the benefits offered by open-source Cassandra with the assurance that you have direct access the team that wrote the majority of the code. They also support some of the most important deployments around the globe. You will receive best practices, advice, as well as SLA-based support to maintain your Cassandra deployment. Scale without compromising performance or latency to manage the most complex real-time workloads. You can create highly interactive customer experiences that are real-time and highly interactive. Luna can help you resolve issues and follow best practices for Cassandra clusters. Services can be used to assist with the entire application life cycle. They also allow for deeper integration of your team as they work together on implementation.

etcd is a strong consistent distributed key-value store. It provides a reliable way for data to be stored that can be accessed by a distributed system, or cluster of machines. It can gracefully handle leader elections during network partitions, and can tolerate machine failure even in the leader node. As in a standard filesystem, data can be stored in hierarchically-organized directories. Pay attention to specific keys and directories for changes, and react to any changes in values.

Azure Cosmos DB, a fully managed NoSQL databank service, is designed for modern app development. It offers guaranteed single-digit millisecond response time and 99.999 percent availability. This service is backed by SLAs and instant scalability. Open source APIs for MongoDB or Cassandra are also available. With turnkey multi-master global distribution, you can enjoy fast writes and readings from anywhere in the world.

Azure Table storage can store petabytes semi-structured data at low costs and keeps costs down. Table storage is able to scale up, unlike many cloud-based or on-premise data stores. Also, availability is not a concern. With geo-redundant storage, data can be replicated three times within one region and three times in another region hundreds of miles away. Flexible data such as web app user data, address books, device data and other metadata can be stored in table storage. You can also use table storage to build cloud applications without having to lock down the data model to specific schemas. Different rows can have different structures in the same table, so you can easily change your application and table schema without having to take it offline. Table storage embraces a strong consistency model.

Titan is a graph database that can store and query graphs with hundreds of billions of edges and vertices distributed across a multi-machine cluster. Titan is a transactional database which can handle thousands of concurrent users performing complex graph traversals in real-time. For a growing user and data base, you can use linear and elastic scaling. Data replication and data distribution for performance and fault tolerance. Hot backups and high availability for multi-datacenters Support for ACID, eventual consistency and other storage backends. Support for Apache Cassandra and Apache HBase storage backends, as well as Oracle BerkeleyDB. Integration with big data platforms such as Apache Spark, Apache Giraph, and Apache Hadoop allows for global graph data analytics, reporting and ETL. Native integration with TinkerPop graph stack to support Gremlin's graph query language, Gremlin's graph server, and Gremlin apps.

Oracle database products offer customers cost-optimized, high-performance versions Oracle Database, the world's most popular converged, multi-model database management software. They also include in-memory NoSQL and MySQL databases. Oracle Autonomous Database is available on-premises via Oracle Cloud@Customer and in the Oracle Cloud Infrastructure. It allows customers to simplify relational databases environments and reduce management burdens. Oracle Autonomous Database reduces the complexity of operating and protecting Oracle Database, while delivering the highest levels performance, scalability and availability to customers. Oracle Database can also be deployed on-premises if customers have network latency and data residency concerns. Customers who depend on Oracle database versions for their applications have full control over which versions they use and when they change.

JanusGraph is an optimized graph database that can store and query graphs with hundreds of billions of edges and vertices distributed across a multi-machine cluster. JanusGraph is a project of The Linux Foundation and includes participants from Expero and Google, GRAKN.AI., Hortonworks. IBM, and Amazon. Linear and elastic scaling for growing data and users. Data replication and data distribution for performance and fault tolerance. Hot backups and high availability for multi-datacenters All functionality is completely free. There is no need to purchase commercial licenses. JanusGraph is completely open source under the Apache 2 License. JanusGraph is an open source transactional database that can handle thousands of concurrent users performing complex graph traversals in real-time. ACID and eventual consistency support. JanusGraph offers online transactional processing (OLTP) and global graph analytics (OLAP), through its Apache Spark integration.

Apache Ignite is an enterprise-grade platform that offers in-memory speed, massive scalability and real-time access across datastores. You can upgrade from Ignite or GridGain without any code changes and deploy your clusters securely on a global scale with zero downtime. Rolling upgrades can be performed on your production clusters without affecting application availability. To load balance workloads and prevent outages in regional areas, replicate across globally distributed data centres. You can protect your data in motion and at rest, and comply with security and privacy standards. Integrate with your organization's authorization and authentication system. Allow full data and user activity auditing. Automated schedules can be created for incremental and full backups. With snapshots and point in time recovery, restore your cluster to its last stable state.

OrientDB is the fastest graph database in the world. Period. A benchmark study by IBM and Tokyo Institute of Technology found that OrientDB is 10x more efficient than Neo4j for graph operations. This applies to all workloads. OrientDB can help you gain competitive advantage and increase innovation through new revenue streams.

Red Hat®, Data Grid is a distributed, in-memory NoSQL datastore. Your applications can access, process and analyze data at high speed to provide a superior user experience. High performance, elastic scaling, always available You can quickly access your data using low latency data processing with memory (RAM), and distributed parallel execution. Linear scaling is possible with data partitioning and distributed across cluster nodes. Data replication across cluster nodes ensures high availability. Cross-datacenter geo-replication, clustering and fault tolerance allow you to be resilient and recover from disasters. A flexible, functionally rich NoSQL database store allows you to develop more efficiently and increase productivity. You can achieve complete data security through encryption and role-based access. Data Grid 7.3.10 offers a security enhancement to fix a CVE. Data Grid 7.3.10 must be upgraded as soon as possible.

Amazon Neptune is a fully managed graph database service that allows you to quickly and reliably build applications that can work with highly connected data sets. Amazon Neptune's core is a purpose-built graph database engine that can store billions of relationships and query the graph with only milliseconds latency. Amazon Neptune supports the popular graph models Property Graph, W3C's RDF, as well as their respective query languages Apache TinkerPop Gremlin, SPARQL. This allows you to quickly build queries that efficiently navigate large datasets. Neptune supports graph use cases like recommendation engines, fraud detection and knowledge graphs. It also powers network security and drug discovery.

Dgraph is an open-source, low-latency, high throughput native and distributed graph database. DGraph is designed to scale easily to meet the needs for small startups and large companies with huge amounts of data. It can handle terabytes structured data on commodity hardware with low latency to respond to user queries. It addresses business needs and can be used in cases that involve diverse social and knowledge networks, real-time recommendation engines and semantic search, pattern matching, fraud detection, serving relationship information, and serving web applications.

AllegroGraph is a revolutionary solution that allows infinite data integration. It uses a patented approach that unifies all data and siloed information into an Entity Event Knowledge Graph solution that supports massive big data analytics. AllegroGraph uses unique federated sharding capabilities to drive 360-degree insights, and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph offers users an integrated version Gruff, a browser-based graph visualization tool that allows you to explore and discover connections within enterprise Knowledge Graphs. Franz's Knowledge Graph Solution offers both technology and services to help build industrial strength Entity Event Knowledge Graphs. It is based on the best-of-class products, tools, knowledge, skills, and experience.

ArcadeDB allows you to manage complex models without any compromises. Polyglot Persistence is gone. There is no need to have multiple databases. ArcadeDB Multi-Model databases can store graphs and documents, key values, time series, and key values. Each model is native to the database engine so you don't need to worry about translations slowing down your computer. ArcadeDB's engine was developed with Alien Technology. It can crunch millions upon millions of records per second. ArcadeDB's traversing speed does not depend on the size of the database. It doesn't matter if your database contains a few records or a billion. ArcadeDB can be used as an embedded database on a single server. It can scale up by using Kubernetes to connect multiple servers. It is flexible enough to run on any platform that has a small footprint. Your data is protected. Our unbreakable fully transactional engine ensures durability for mission-critical production database databases. ArcadeDB uses the Raft Consensus Algorithm in order to maintain consistency across multiple servers.

Natively store data for graphs, documents and search needs. One query language allows for feature-rich access. You can map data directly to the database and access it using the best patterns for the job: traversals, joins search, ranking geospatial, aggregateions - you name them. Polyglot persistence without the cost. You can easily design, scale, and adapt your architectures to meet changing needs with less effort. Combine the flexibility and power of JSON with graph technology to extract next-generation features even from large datasets.

Developers who prefer to spend their time building apps rather than managing databases will enjoy reliable data layers and performance. Compose makes it easy to manage your data layer. You can ensure that your databases are always available, secure, fast, & highly available. Our database deployment platform is battle-tested and makes it easy to run one or hundreds of databases in a cloud. This allows you to get back to creating great apps. You can deploy, monitor, manage, query, and query your databases from one interface. You can also add users, set permissions, create new nodes, and view daily log files. As your database grows, the resource allocation for databases adjusts automatically to ensure a consistent and proportional ratio between storage and memory. You can also manually adjust your deployments in order to allocate additional resources.