Alternatives to Azure Cache for Redis

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

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.

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported: - MySQL - PostgreSQL - Redis™. - MongoDB®, database - Greenplum™ (coming soon) ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.

Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL and SQL Server. It includes rich extensions, configuration flags and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL PostgreSQL SQL Server databases. SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest. Private connectivity with Virtual Private Cloud, user-controlled network access and firewall protection. Compliant with SSAE 16 ISO 27001 PCI DSS and HIPAA. Scale your database instances with a single API request, whether you are just testing or need a highly-available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes.

Amazon Relational Database Service (Amazon RDS), makes it easy to create, manage, and scale a cloud-based relational database. It offers a cost-efficient, resizable storage capacity and automates time-consuming admin tasks like database setup, patching, backups, and hardware provisioning. It allows you to concentrate on your applications, so they can provide the high performance, security, compatibility, and high availability that they require. Amazon RDS can be used on several database instance types, optimized for memory, performance, or I/O. It offers six familiar database engines to choose, including PostgreSQL and MySQL, MariaDB, Oracle Database and SQL Server. To easily replicate or migrate your existing databases to Amazon RDS, you can use the AWS Database Migration Service.

Amazon ElastiCache makes it easy to create, manage, and scale popular open source compatible in-memory cloud data stores. You can build data-intensive apps and improve the performance of existing databases by retrieving data in high-throughput and low latency, in-memory storages. Amazon ElastiCache is popular for real-time applications such as Caching, Session Stores and Gaming, Geospatial Service, Real-Time Analytics and Queuing. Amazon ElastiCache provides fully managed Redis, Memcached and other services for demanding applications that need sub-millisecond response time. Amazon ElastiCache is an in-memory cache and data store that can support the most demanding applications that require sub-millisecond response time. Amazon ElastiCache delivers secure, lightning fast performance by using an optimized stack that runs on customer-dedicated nodes.

NCache is an open source distributed cache for .NET Framework & .NET Core (released under Apache License, Version 2.0), by Alachisoft. NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips.

Redis and Memcached are now more reliable, available, and scalable. Memorystore automates complex tasks such as patching, monitoring, failover, and high availability for open-source Redis and Memcached so you can spend more of your time programming. Start small and scale up your instance. Memorystore for Memcached supports clusters up to 5 TB, supporting millions of QPS with very low latency. Redis Memorystore instances are replicated across two zones, providing a 99.9% availability guarantee. Instances are monitored constantly and with automatic failover--applications experience minimal disruption. You can choose from two of the most popular open-source caching engines to build your application. Memorystore is protocol compatible and supports Redis and Memcached. Choose the engine that best suits your needs and budget.

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.

Dragonfly replaces Redis with a plug-and-play solution that reduces costs and improves performance. Dragonfly is designed to take full advantage of the power of cloud hardware, and meet the data needs of modern applications. It frees developers from traditional in-memory databases. Legacy software cannot take advantage of the power of modern cloud hardware. Dragonfly is optimized to work with modern cloud computing. It delivers 25x more throughput, and 12x less snapshotting latency, when compared to traditional in-memory stores like Redis. This makes it easy to provide the real-time experiences your customers expect. Due to Redis' inefficient single-threaded design, scaling Redis workloads can be expensive. Dragonfly has a much higher memory and compute efficiency, resulting in infrastructure costs that are up to 80% less. Dragonfly scales first vertically, and only requires clustering when the scale is extremely high. This results in an operational model that is simpler and more reliable.

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.

Couchbase, unlike other NoSQL database, provides a multicloud to edge enterprise-class database that offers robust capabilities for business-critical apps on a highly available and scalable platform. Couchbase is a distributed cloud native database that runs on any cloud. It can be managed by the customer or fully managed. Couchbase is built using open standards and combines the best of NoSQL and SQL with the power and familiarity that mainframes and relational databases provide. Couchbase Server is an open-source, multipurpose distributed database. It combines the best of relational databases, such as SQL, ACID transactions, and JSON, with a foundation which is fast and scalable. It is used in many industries for things such as user profiles, dynamic catalogs, GenAI applications, vector search, caching at high speed, and more.

ApsaraDB is an automated and scalable tool that developers can use to manage data storage shared between multiple applications, processes, or servers. ApsaraDB Redis is compatible with Redis protocol and offers exceptional read-write capabilities. It also ensures data persistence through the use of memory and hard disk storage. ApsaraDB Redis offers data read-write capabilities at high speeds by retrieving data in-memory caches. It also ensures data persistence using both memory storage and hard disk storage mode. ApsaraDB Redis supports advanced data structures like session, leaderboard, and tracking that are not possible with ordinary databases. ApsaraDB Redis also offers an enhanced version called "Tair". Since 2009, Tair has been officially handling data caching scenarios for Alibaba Group and has shown outstanding performance in scenarios like Double 11 Shopping Festival.

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.

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.

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.

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

Amazon DocumentDB (with MongoDB compatibility), is a fast, scalable and highly available document database service that supports MongoDB workloads. Amazon DocumentDB is a document database that makes it easy to store, query and index JSON data. Amazon DocumentDB is a nonrelational database service that was designed from the ground up to provide the performance, scalability and availability you require when running mission-critical MongoDB workloads on a large scale. Amazon DocumentDB is decoupled from compute and storage, which allows each to scale independently. You can increase read capacity to millions of requests every second by adding up 15 low latency replicas in minutes, regardless how large your data is. Amazon DocumentDB is designed to guarantee 99.99% availability. It replicates six copies across three AWSAvailability Zones (AZs) of your data.

KeyDB is fully compatible with Redis modules API and protocol. You can easily drop in KeyDB to maintain compatibility with existing clients, scripts, and configurations. Multi-Master mode distributes a single replicated dataset across multiple nodes to support both read and writing operations. Nodes can be replicated across regions to provide submillisecond latency to local clients. Cluster mode allows unlimited read/write scaling by splitting the data across multiple shards. This allows unlimited scaling and supports high availability via replica nodes. KeyDB provides new community-driven commands that allow you to do more with data. ModJS module allows you to create your own JavaScript commands and functionality. ModJS allows you to write Javascript functions that can be called directly from KeyBD. The left example shows a Javascript function that would be loaded along with the module. It can then be called from your client.

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.

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.

IBM Cloud®, purpose-built databases, deliver high availability and enhanced security as well as scalable performance. You can choose from a range of database engines, including relational and NoSQL databases, such as graph, key-value and in-memory databases, and document, key-value and graph databases. You can build distributed, modern applications that are highly scalable and distributed thanks to the support for multiple data models. There is no one size fits all. You can speed up development and meet your business needs by choosing the right database for the job. IBM Cloud DBaaS solutions include hosting, auto provisioning, and 24x7 management with automated backup and restore, version updates, security, and more.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.

We are the world's leading experts in designing and operating data layers for growing companies. We can help you find the right configuration for your company, no matter how small or large it is. ObjectRocket provides CockroachDB and Elasticsearch instances. These instances are highly available and backed by real database engineers 24x7x365. We host and manage databases that are used by apps on Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, Rackspace Service Net, and Microsoft Azure. All production workloads are hosted on ObjectRocket’s secure, automated platform. This includes highly responsive, round the clock support with access to engineers, fully customized plans, unlimited DBA times, 24/7 monitoring, and highly responsive support.

We provide a geo-distributed, real-time database, stream processing, and compute runtime for event driven applications across up to 175 global edge data centers. Our platform is loved by API and app developers because it solves the most difficult problems of sharing mutable states across hundreds of locations around the world. We also have high consistency and low latency. Macrometa allows you to surgically expand your existing infrastructure to bring your application closer to your users. This allows you to improve performance and user experience, as well as comply with global data governance laws. Macrometa is a streaming, serverless NoSQL database that can be used for stream data processing, pub/sub, and compute engines. You can create stateful data infrastructure, stateful function & containers for long-running workloads, and process data streams real time. We do the ops and orchestration, you write the code.

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.

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.

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.

Terracotta DB, a distributed in-memory database management solution, is a comprehensive and flexible data management tool that caters to both operational storage and caching. It also enables transactional processing and analysis. Ultra-Fast Ram and Big Data = Business Power. BigMemory gives you: Real-time access and control over terabytes in-memory data. High throughput and predictable latency. Support for Java®, Microsoft®,.NET/C# and C++ applications. 99.999 percent uptime. Linear scalability. Data consistency guarantees across multiple servers. Optimized data storage across SSD and RAM. SQL support for querying in memory data. Maximal hardware utilization results in lower infrastructure costs. High-performance persistent storage for durability and fast restart. Advanced monitoring, management, and control. Data storage that is ultra-fast and in-memory, which automatically moves data to the right place. Support for data replication across multiple data centers for disaster recovery. Real-time management of fast-moving data

Redis for Windows alternative, In Memory Datastore Ready for the most challenging production workloads. Free for testing and development. Redis-compatibility. Memurai's core is based on Redis source code and port to Windows natively. Memurai supports all features that make Redis one of the most popular NoSQL databases, including persistence, replication, transactions and LRU eviction. Redis has many libraries and tools that have been carefully tested to ensure compatibility. You can even replicate data between Memurai or Redis, or both within the same cluster. Integration with Windows infrastructure and workflows is seamless. Memurai seamlessly integrates into Windows best practices, tools, and workflows, regardless of whether it's being used for production or development. Teams of engineers with existing investments in Windows infrastructure will be eligible for this program.

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.

Azure SQL Database is part of the Azure SQL family. It's an intelligent, scalable, and relational database service that's built for the cloud. It's always available and up-to-date, and it has AI-powered and automated features that maximize performance and durability. Serverless computing and Hyperscale storage options automatically scale resources as needed, so you can concentrate on building new apps without worrying about resource management or storage size. A fully managed SQL database eliminates the complexity of managing high availability, tuning and other database tasks. You can accelerate your application development with the only cloud that supports evergreen SQL Server capabilities. Never worry about upgrades or discontinuing support. You can build modern apps with serverless and provisioned compute options.

Scale as much as you need, with no limitations Globally distributed ACID-compliant database that automatically handles replicas and sharding. Transaction processing is also included. This allows you to quickly scale up to meet any usage pattern and ensure the success of your products. Make your database easily accessible anywhere: Cloud Spanner is built using Google's dedicated network, and battle tested by Google services that are used by billions. It provides up to 99.999% availability and zero downtime for scheduled maintenance or schema changes. You can do less tedious tasks and have a more enjoyable experience. IT administrators and DBAs are overwhelmed with managing databases. Cloud Spanner makes it easy to create or scale a globally replicated database in just a few clicks. This also reduces the cost of maintaining databases.

Instaclustr, the Open Source-as a Service company, delivers reliability at scale. We provide database, search, messaging, and analytics in an automated, trusted, and proven managed environment. We help companies focus their internal development and operational resources on creating cutting-edge customer-facing applications. Instaclustr is a cloud provider that works with AWS, Heroku Azure, IBM Cloud Platform, Azure, IBM Cloud and Google Cloud Platform. The company is certified by SOC 2 and offers 24/7 customer support.

Navisite's fully managed database-as-a-service (DBaaS), platform makes it easy to deploy, monitor, provision, and scale your favorite AWS and Azure databases. Navisite's DBaaS platform offers more than a high-speed, powerful service delivery platform. You get the scale, expertise, and services you need to stay ahead. Our fully managed DBaaS combines cloud automation and cloud management with turnkey DBA services to simplify your journey to cloud computing. This will reduce operating costs, speed up time to market, and simplify your transition to the cloud. You can benefit from cloud-based provisioning with seamless scaling and high availability through auto-failover for production-ready plans. Secure your data and backups with SSL-based access. You can instantly create a database from anywhere in the world. Scheduled and on-demand backups, or snapshots, with many restoration options for your data.

Symas LMDB, an extremely fast and memory-efficient database that we created for the OpenLDAP Project, is Symas LMDB. It uses memory-mapped files to provide the same read performance as an in-memory database but retains the persistence of standard disk databases. LMDB is small at 32KB in object code. It's still the right 32KB. LMDB is both compact and efficient. That's why LMDB is so powerful. Symas provides fixed-price commercial support for those who use LMDB in their applications. Development takes place in the OpenLDAP Project's Git repo in mdb.master branch. Symas LMDB has been featured in numerous publications and publications.

RocksDB uses a log-structured database engine written entirely in C++ for maximum performance. Keys and values can be stored in arbitrarily-sized byte streams. RocksDB is optimized to store flash drives and high speed disk drives in fast, low latency storage. RocksDB makes the most of flash and RAM's high read/write speeds. RocksDB can perform basic operations like opening and closing a table, reading and writing, and more complex operations such as merging or compaction filters. RocksDB can adapt to different workloads. RocksDB can be used to meet a wide range of data needs, including database storage engines like MyRocks and application data caching.

ClusterControl is a multi-cloud hybrid database ops orchestration platform that supports MongoDB and Elasticsearch as well as Redis, TimescaleDB and SQL Server on Linux. It also supports Galera Cluster, PostgreSQL and MySQL in cloud and on-premises environments. It can handle all aspects of the lifecycle, including deployment, failover, backup, and more. It allows organizations to implement the Sovereign DBaaS model with its full suite of databases and ops features. ClusterControl is the ideal solution for organizations who need to run large-scale, open source database operations reliably but don't want to be restricted by traditional DBaaS providers. It allows you to choose your environment, stability of licenses, and gives you DB access.

The most innovative cloud database service available, with unmatched data mobility across AWS, Azure and Google Cloud, as well as built-in automation for resource optimization and workload optimization. MongoDB Atlas is a global cloud database service that supports modern applications. Fully managed MongoDB can be deployed across AWS, Google Cloud and Azure. This is possible with best-in class automation and proven practices that ensure availability, scalability and compliance with the highest data security and privacy standards. This is the best way to deploy, scale, and run MongoDB in cloud. MongoDB Atlas provides security controls for all data. Allow enterprise-grade features to be integrated with your existing security protocols or compliance standards. MongoDB Atlas protects your data with preconfigured security features that allow for authentication, authorization and encryption.

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.

Couchbase Capella, a cloud-based database platform, optimizes storage and processing of JSON-native operational data and analytical data. A faster and better DBaaS with real-time analytics for edge, transaction, search, AI and edge applications. Capella iQ provides natural language coding help. Capella is a multipurpose data base that supports operational and analytical workloads and use-cases, including JSON analysis, vector search, mobile synchronization, and more. It delivers millisecond response at scale, with the best price-performance of any document Database-as-a-Service. Try it for free today, and you'll be up and running within minutes. Capella is the best way to future-proof your business, whether you're facing challenges in development, architecture, or deployment.

Smart DIH is a data management platform that quickly serves applications with accurate, fresh and complete data, delivering high performance, ultra-low latency, and an always-on digital experience. Smart DIH decouples APIs from SoRs, replicating critical data, and making it available using event-driven architecture. Smart DIH enables drastically shorter development cycles of new digital services, and rapidly scales to serve millions of concurrent users – no matter which IT infrastructure or cloud topologies it relies on. XAP Skyline is a distributed in-memory development platform that delivers transactional consistency, combined with extreme event-based processing and microsecond latency. The platform fuels core business solutions that rely on instantaneous data, including online trading, real-time risk management and data processing for AI and large language models.

VMware Tanzu GemFire, a distributed key-value store with in-memory key-value storage, performs read-and-write operations at lightning fast speeds. It has high availability parallel message queues, continuous availability, an event-driven architecture that can scale dynamically with no downtime, and an event-driven architecture. Tanzu GemFire scales linearly as your data requirements increase to support high performance, real-time apps. Traditional databases are often too fragile or unreliable to be used with microservices. Every modern distributed architecture requires a cache. Applications can use Tanzu GemFire to get fast responses to data access requests and always receive new data. Applications can subscribe to real time events to respond to changes instantly. Continuous queries from Tanzu GemFire notify your application whenever new data becomes available. This reduces overhead on your SQL database.

Webair provides Database-as-a-Service (DBaaS), a reliable and secure database management solution that gives your business simple, efficient and always available access to its mission-critical data. Our team has extensive experience in managing the configuration, administration, and optimization of database clusters. This includes business-critical, load-balanced, replicated, and distributed MySQL clusters. Webair's Database Administrators can help you create a high-performance environment for your database. We work closely with you to create the best solution. We match the best infrastructure to the most appropriate database configuration to meet your specific requirements. Your business can be freed from routine database tasks like performance monitoring, configuration, memory and storage, log file management, sizing and service pack upgrades, and patching. You can focus on the more important aspects of your business, such as managing critical data within your database.

FoundationDB supports multiple models, so you can store different types of data in one database. All data can be safely stored, distributed and replicated in Key-Value Store. FoundationDB is easy-to-use, grow, and maintain. It uses a distributed architecture that scales out gracefully and handles faults, while acting as a single ACID database. FoundationDB is extremely fast on commodity hardware and can support very heavy loads at a low cost. FoundationDB has been in production for many years and has learned from its mistakes. FoundationDB is supported by an unmatched testing system that is based on a deterministic simulator engine.

Fauna is a data API that supports rich clients with serverless backends. It provides a web-native interface that supports GraphQL, custom business logic, frictionless integration to the serverless ecosystem, and a multi-cloud architecture that you can trust and grow with.

A database clustering system that allows horizontal scaling of MySQL. Vitess combines the best of MySQL with the scalability and flexibility of a NoSQL data base. Its built-in Sharding features allow you to grow your database without having to add sharding logic. Vitess automatically rewrites any queries that could cause problems for your database's performance. It uses caching mechanisms to mediate query and prevent duplicate queries reaching your database simultaneously. Vitess handles functions such as master failovers or backups automatically. It uses a lock server for monitoring and administering servers. This allows your application to be completely unaware of the topology of the database. Vitess eliminates MySQL connections' high-memory overhead. Vitess servers can handle thousands of connections simultaneously. MySQL does not support sharding by default, but it will be required as your database grows.

Cloud Firestore is a cloud-native, serverless, NoSQL document database. It simplifies the process of storing, querying, and syncing data for mobile, web, IoT, and web apps on a global scale. Its client libraries allow for offline support and live synchronization, while security features and integrations to Firebase and Google Cloud Platform (GCP), accelerate the creation of truly serverless apps.

Datastore is a highly-scalable NoSQL database that can be used for your applications. Datastore handles replication and sharding automatically, giving you a reliable and durable database that scales to your application's load. Datastore offers many capabilities, including ACID transactions, SQL like queries, indexes, as well as many other features. Datastore's RESTful interface makes it easy to access data from any deployment target. Datastore can be used as an integration point to build solutions that span App Engine and Compute Engine. You can focus on building your applications and not worrying about provisioning or load anticipation. Datastore scales seamlessly with your data and allows applications to maintain high performance even when they receive more traffic.