Alternatives to PolarDB-X

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.

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.

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.

Greenplum Database®, an open-source data warehouse, is a fully featured, advanced, and fully functional data warehouse. It offers powerful and fast analytics on petabyte-scale data volumes. Greenplum Database is uniquely designed for big data analytics. It is powered by the most advanced cost-based query optimizer in the world, delivering high analytical query performance with large data volumes. The Apache 2 license is used to release Greenplum Database®. We would like to thank all of our community contributors. We are also open to new contributions. We encourage all contributions to the Greenplum Database community, no matter how small. Open-source, massively parallel data platform for machine learning, analytics, and AI. Rapidly create and deploy models to support complex applications in cybersecurity, predictive management, risk management, fraud detection, among other areas. The fully integrated, open-source analytics platform is now available.

The TigerGraph™, a graph platform based on its Native Parallel Graph™, technology, represents the next evolution in graph database evolution. It is a complete, distributed parallel graph computing platform that supports web-scale data analytics in real time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you've been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data.

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.

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.

BigchainDB is a database that has blockchain characteristics. It offers high throughput, low latency and powerful query functionality. BigchainDB allows developers, enterprises, and other organizations to create and deploy blockchain proof of concepts, platforms, and applications using a blockchain database. It supports a wide variety of industries and use cases. BigchainDB is not about enhancing blockchain technology. Instead, it starts with a distributed big data database and then adds blockchain characteristics, such as decentralized control, immutability, and the transfer digital assets. There is no single point of failure. There is no single point of failure. A federation voting nodes provides decentralized control that makes it possible to create a P2P network. To search all stored transactions, metadata, and blocks, you can write and run any MongoDB query. MongoDB powers this feature.

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.

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.

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.

GaussDB (for MySQL) is a next-generation, enterprise-class distributed database service that is MySQL-compatible. It utilizes a decoupled storage and compute architecture, and data functions virtualization storage (DFV), which auto-scales to 128 TB per DB instances. There is virtually zero risk of data loss. It can support millions of QPS throughputs, cross-AZ deployment, and combines the reliability and performance of commercial databases with open source databases. You can achieve seven times the performance of open source databases by decoupling compute from storage, connecting them via RDMA, using a "log-as-database" architecture, and getting seven times as much performance. You can add up to 15 replicas per primary node in minutes to increase read capacity and performance. GaussDB (for MySQL) is fully compatible. You can migrate your MySQL databases to GaussDB (for MySQL) easily without having to rebuild existing applications or sharding.

Objectivity/DB (or Object Database Management System) is a distributed, highly scalable, high-performance, and highly scalable Object Database (ODBMS). It excels at complex data handling, including many types of connections between objects as well as many variants. Objectivity/DB can also be used as a graph database that is highly scalable and high-performance. Its DO query language allows for standard data retrieval queries and high-performance path-based navigational inquiries. Objectivity/DB is a distributed data base that presents a single logical view of its managed data. Data can be hosted on one machine or distributed over up to 65,000 machines. Machines can be connected to one another. Objectivity/DB can be used on 32- or 64-bit processors that run Windows, Linux, and Mac OS X. APIs are C++, C# Java, Python, and Java. All platforms and languages are interoperable. A C++ program on Linux can store objects and a Java program on Mac OS X can read them.

What makes eXtremeDB platform independent? - Hybrid storage of data. Unlike other IMDS databases, eXtremeDB databases are all-in-memory or all-persistent. They can also have a mix between persistent tables and in-memory table. eXtremeDB's Active Replication Fabric™, which is unique to eXtremeDB, offers bidirectional replication and multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more. - Row and columnar flexibility for time series data. eXtremeDB supports database designs which combine column-based and row-based layouts in order to maximize the CPU cache speed. - Client/Server and embedded. eXtremeDB provides data management that is fast and flexible wherever you need it. It can be deployed as an embedded system and/or as a clients/server database system. eXtremeDB was designed for use in resource-constrained, mission-critical embedded systems. Found in over 30,000,000 deployments, from routers to satellites and trains to stock market world-wide.

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.

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.

InterSystems IRIS, a cloud-first data platform, is a multi-model transactional database management engine, application development platform, interoperability engine and open analytics platform. InterSystems IRIS offers a variety of APIs that allow you to work with transactional persistent data simultaneously. These include key-value, relational and object, document, and multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS features an Interoperability engine as well as modules for building AI solutions. InterSystems IRIS features horizontal scalability (sharding and ECP), and High Availability features such as Business intelligence, transaction support and backup.

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.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

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.

Citus combines the Postgres you know and love with the power of distributed tables. 100% open source. Now with schema-based, row-based, and Postgres 16 support. Scale Postgres using data and queries. You can start off with a single Citus server, then add more nodes and rebalance the shards as you grow. Parallelism, storing more data in memory and using higher I/O bandwidth along with columnar compression can speed up queries by 20x or 300x. Citus is a new extension (not fork) of the latest Postgres version, allowing you to use your familiar SQL toolkit and leverage your Postgres expertise. Use a single database to manage both your analytical and transactional workloads. Download and use Citus Open Source for free. Citus can be managed by you, if you embrace open source and use GitHub. Focus on your app & forget your database. Azure Cosmos DB PostgreSQL for Citus allows you to run your app in the cloud.

PolarDB is for business-critical databases that require high concurrency, fast performance, and automatic scaling. With 15 low latency read replicas and up to 100 TB per database cluster, you can scale up millions of queries per second. PolarDB is six times faster that standard MySQL databases and offers the same security, reliability, availability, and cost-effectiveness as traditional commercial databases. PolarDB is built on the database technology and best practices that have been developed over the past decade to support large-scale events like the Alibaba Double 11 Global Shopping Festival. We are pleased to offer Always Free ApsaraDB (all three versions) for developers. This is available when you use no more that 1 instance (2-core, 8GB of memory, and up 50GB of storage). Register now to keep this benefit. You can renew each month by signing up. The availability of regional resources is subject to change.

Your database should follow the trend of distributed applications and architectures. With a distributed SQL database, you can deploy wherever you want, whenever you want, and however you want. Migration of existing SQL applications to a multi-node distributed architecture that can dynamically scale in and out. Our Transaction Engines and Storage Managers (SMs), work together to ensure ACID compliance across multiple Nodes. You can deploy in a distributed architecture. Multiple nodes are required to deploy a database. The loss of one or more nodes will not cause the loss of access to the database. Deploy TEs or SMs to meet your variable workload requirements, or deploy in the various environments your team uses: in public and private clouds, hybrid environments, and across clouds.

Apache Trafodion, a webscale SQL on Hadoop solution, enables transactional or operational workloads on Apache Hadoop. Trafodion is built on Hadoop's elasticity, scalability and flexibility. Trafodion enhances Hadoop by providing guaranteed transactional integrity. This allows new types of big data applications run on Hadoop. Support for ANSI SQL in its entirety. JDBC/ODBC connectivity on Linux/Windows clients. Distributed ACID transactions protection across multiple tables, rows, and statements. Compile-time and runtime optimizations improve performance for OLTP workloads. Support for large data sets with a parallel-aware queries optimizer. Reuse existing SQL skills to improve developer productivity. Distributed ACID transactions ensure data consistency across multiple rows or tables. Interoperability of existing tools and applications. Hadoop and Linux distributions are neutral. Add to your existing Hadoop infrastructure.

Volt Active Data is a data platform that makes your tech stack more efficient, faster, and cheaper. It allows your applications and your company to scale seamlessly to meet the ultra low latency SLAs of 5G and IoT. Volt Active Data is designed to complement your existing big data investments such as NoSQL and Hadoop, Kubernetes and Kafka, as well traditional databases or data warehouses. It replaces the many layers that are required to make contextual decisions about streaming data with one unified layer that can handle everything from ingest to action in less then 10 milliseconds. There is a lot of data in the world. It's all stored, forgotten, then deleted. "Active Data" refers to data that must be acted upon immediately in order to gain business value. You have many options for data storage, both traditional and non-SQL. If you are able to act quickly enough to 'influence' the moment, there is data that you can also make money with.

Companies need to find a way to guarantee the uninterrupted operation of their system, high-speed data processing, and reliable storage. In-memory technology has proven to be a good solution for these problems. Tarantool has helped companies around the world for more than 10 years build smart caches and data marts while saving server capacity. Reduce the cost of credentials storage compared to siloed solution and improve service and security for client applications. Reduce the costs of data management by consolidating a large number disparate systems for storing customer identities. Improve the quality and speed of customer recommendations by analyzing user data and behavior. Improve mobile and web channels by speeding up frontends in order to reduce user exit. IT systems in large organizations are operated within a closed network loop, where data is not protected.

A cloud-native distributed HTAP DB database that can be elastically scaled and used for real-time analytics. It is fully managed and has a serverless tier that allows you to launch the HTAP database in seconds. Transparently and elastically scale to hundreds of nodes for critical workloads, without having to change business logic. You can use what you know about SQL to maintain your relational model, global ACID transactions, and manage hybrid workloads with ease. It comes with a high-performance analytics engine that allows you to analyze operational data without the need for an ETL. Scale up to hundreds of nodes and maintain ACID transactions. There is no need to worry about sharding and facing downtime. Data accuracy at scale, even when multiple updates are made to the same source of data. TiDB's MySQL compatibility will increase productivity and reduce time-to-market. You can easily migrate data from existing MySQL instances, without having to rewrite any code.

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.

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.

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.

Open-source, cloud-native distributed SQL database that allows for elastic scale and real time analytics. TiDB is supported by a wealth open-source data migration tools within the ecosystem. This allows you to choose your own vendor without worrying about lock-in. TiDB was designed to scale SQL without compromising your application. HTAP database platform which enables real-time situation analysis and decision making on transactional data. It eliminates friction between IT goals and business goals. TiDB is ACID compliant and strongly consistent. TiDB can be used as a scaled-out MySQL database using familiar SQL syntaxes. TiDB automatically shards data so you don’t have to do this manually. To scale horizontally or elastically to support your business growth, you can add new nodes. TiDB automates the ETL process, and automatically recovers from errors.

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.

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.

The Apache Cassandra database provides high availability and scalability without compromising performance. It is the ideal platform for mission-critical data because it offers linear scalability and demonstrated fault-tolerance with commodity hardware and cloud infrastructure. Cassandra's ability to replicate across multiple datacenters is first-in-class. This provides lower latency for your users, and the peace-of-mind that you can withstand regional outages.

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.

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.

HarperDB is an integrated distributed systems platform which combines database, caching and application functions into one technology. It allows you to deliver global back-end services at a lower cost, with higher performance and less effort. Install user-programmed apps and pre-built additions on top of data for a back end with ultra-low latencies. Distributed database with a high throughput per second, delivering orders of magnitude higher than NoSQL alternatives. Native real-time pub/sub data processing and communication via MQTT interfaces, WebSockets, and HTTP interfaces. HarperDB provides powerful data-in motion capabilities without adding additional services such as Kafka. Focus on features that will help your business grow, rather than fighting complicated infrastructure. You can't slow down the speed of light but you can reduce the amount of light between your users' data and them.

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.

The graph database is designed for graphs up to super large scale with very low latency. We continue to work with the community to promote, popularize, and prepare the graph database. Nebula Graph allows only authenticated access through role-based access control. Nebula Graph can support multiple storage engines and the query language is extensible to support new algorithms. Nebula Graph offers low latency read/write while maintaining high throughput to simplify complex data sets. Nebula Graph's distributed, shared-nothing architecture allows for linear scaling. Nebula Graph's SQL query language is similar to SQL and can be used to address complex business requirements. Nebula Graph's horizontal scalability, snapshot feature and high availability guarantee that there will be no downtime. Nebula Graph has been used in production environments by large Internet companies such as JD, Meituan and Xiaohongshu.

Build flexible, distributed systems which can leverage all of the history of your critical data and not just the current state. You can build them on top of your existing infrastructure, or move straight to the cloud. Knowing the full story behind your data is crucial to gaining critical insights. Datomic maintains a record of unchangeable facts. This gives your applications strong consistency, horizontal read scalability and built-in cache. Due to the fact that facts are never changed and all data is stored by default, auditing and history queries are built-in. All of this is possible with transactions that are fully ACID compliant. Datomic's information models can be adapted to a variety of use cases. Datomic Peer allows you to distribute immutable data directly to your application nodes for in-memory data access. Use the client library to create lightweight microservice nodes.

Apache Accumulo allows users to store and manage large data sets across a cluster. Accumulo uses Apache Hadoop HDFS to store its data, and Apache ZooKeeper to reach consensus. Accumulo is used by many users, but there are also open-source projects that use it as their underlying store. Take the Accumulo tour to learn more, and then run the Accumulo sample code. If you have any questions, please don't hesitate to contact us. Accumulo offers a programming mechanism called Iterators that allows you to modify key/value pair at different points in the data management process. Each Accumulo key/value pair is assigned a security label that limits the query results based on user authorizations. Accumulo can be run on a cluster that uses one or more HDFS instances. As Accumulo's data grows, nodes can be added and removed.

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.

HerdDB is a Java-based SQL distributed database. It can be embedded in any Java Virtual Machine. It is optimized for quick "writes" as well as primary key read/update access patterns. HerdDB can manage hundreds of tables. It is easy to add or remove hosts, and to reconfigure tablesspaces to distribute the load across multiple systems. HerdDB uses Apache Zookeeper and Apache Bookkeeper, to create a fully replicated, shared no-one architecture that is fault-free. HerdDB is very similar at the low level to a key-value NoSQL data base. An SQL abstraction layer and JDBC driver support allow users to leverage their existing knowledge and port existing applications into HerdDB. EmailSuccess is a powerful MTA (Mail Transfer Agent) that delivers millions of emails per hour to all over the globe. It was developed by Diennea.

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.

You can build and run distributed, database-driven enterprise apps with the highest levels possible of availability, scaleability, and performance completely Cloud Native. OneDB is the ideal solution for enterprises that are just starting to move to cloud native or those who have an existing multi-cloud strategy. It offers flexibility, reliability, and simplicity needed to meet your application requirements. Fully automated database administration makes it easier to extract the value of data to provide insight and actionable intelligence. To launch new ideas, you can dramatically reduce the need to have technical expertise while still being ahead of the rest. OneDB is ideal for application development. OneDB provides developers with everything they need, from extensive programming language support to broad support of APIs and interfaces. HCL is the best cloud native database on the market.

AntDB is an AsiaInfo Technologies cloud-native distributed relational database designed to handle high performance online transaction processing and online analytics workloads. AntDB supports massive business data relating to calls, internet, payments, and bill-paying. It has served over 1 billion subscribers in 24 provinces of China. AntDB's cloud native distributed architecture supports high availability, data consistency and online scalability. It is compatible with SQL2016 and integrates seamlessly into various domestic ecosystems including mainstream CPUs and Operating Systems. The platform has features like automatic high availability, online elastic expansion of capacity, and read/write split at the kernel to efficiently manage traffic during peak periods. AntDB is successfully commercialized across industries such as telecommunications and finance, transportation and energy.

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.

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.