Alternatives to VoltDB

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

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.

It is a highly scalable, embedded SQL database that can be accessed from anywhere. It also includes commercial-grade data security, disaster recovery, change synchronization, and data security.

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.

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 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.

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.

IBM Db2®, a family of hybrid data management tools, offers a complete suite AI-empowered capabilities to help you manage structured and unstructured data both on premises and in private and public clouds. Db2 is built upon an intelligent common SQL engine that allows for flexibility and scalability.

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.

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.

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.

SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.

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.

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.

Microsoft SQL Server 2019 includes intelligence and security. You get more without paying extra, as well as best-in-class performance for your on-premises requirements. You can easily migrate to the cloud without having to change any code. Azure makes it easier to gain insights and make better predictions. You can use the technology you choose, including open-source, and Microsoft's innovations to help you develop. Integrate data into your apps easily and access a rich set cognitive services to build human-like intelligence on any data scale. AI is built into the data platform, so you can get insights faster from all of your data, both on-premises or in the cloud. To build an intelligence-driven company, combine your enterprise data with the world's data. You can build your apps anywhere with a flexible platform that offers a consistent experience across platforms.

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.

Businesses struggle to find answers as data volumes increase faster than ever. Teradata Vantage™, solves this problem. Vantage uses 100 per cent of the data available to uncover real-time intelligence at scale. This is the new era in Pervasive Data Intelligence. All data across the organization is available in one place. You can access it whenever you need it using preferred languages and tools. Start small and scale up compute or storage to areas that have an impact on modern architecture. Vantage unifies analytics and data lakes in the cloud to enable business intelligence. Data is growing. Business intelligence is becoming more important. Four key issues that can lead to frustration when using existing data analysis platforms include: Lack of the right tools and supportive environment required to achieve quality results. Organizations don't allow or give proper access to the tools they need. It is difficult to prepare data.

IBM Informix®, a fast and flexible database that can seamlessly integrate SQL, NoSQL/JSON and time series data, is available. Informix's versatility and ease-of-use make it a popular choice for a wide variety of environments, including enterprise data warehouses and individual application development. Informix is also well-suited for embedded data management solutions due to its small footprint and self-managing capabilities.

H2, the Java SQL database, is your welcome. An embedded mode allows an application to open a database within the same JVM by using JDBC. This connection mode is the fastest and most convenient. However, a database can only be opened in one virtual machine (and a class loader) at a time. Both in-memory and persistent databases are supported, as in all modes. There is no limit to the number of databases that can be opened simultaneously or the number of connections. Mixed mode is a combination between the server and embedded modes. The first application to connect to a database uses embedded mode. However, it also starts a server so other applications (running in different processes and virtual machines) can simultaneously access the same data. The local connections are just as fast as if the data were used in embedded mode. Remote connections are slightly slower.

Altibase is a high-performance, relational open-source database that is enterprise-grade and highly efficient.

High performance, fully managed and hosted PostgreSQL. All the extensions you need right out of the box. You can set up fully managed PostgreSQL within 10 minutes using our web console, or programmatically via our API or CLI, Terraform provider, or Kubernetes operators. Stand-by nodes can be used as read replicas. You can also create additional read replicas in other public clouds or regions. Our Point-In-Time-Recovery lets you restore your data to any time within your selected retention period. Fully managed SQL relational database that can be deployed in the cloud of choice. It is known for its reliability, robust features, and exceptional performance. It can be used in almost any situation, including creating location-based services, mission-critical business applications, or as a general transactional data base.

CUBRID is a relational DBMS optimized for online transaction processing (OLTP) that complies with ANSI SQL standards and provides MVCC support, High-Availability (HA) capabilities, and GUI-based tools for DB management/migration. It also provides Oracle/MySQL compatibility and supports a variety of interfaces, including JDBC. * [Major RDBMS Features]: - ANSI SQL standard and support extended SQL syntaxes - Support VIEW/TRIGGER/PRIMARY KEY/FOREIGN KEY/SERIAL - Support Stored Procedure/Function - Seamless transactions: COMMIT/ROLLBACK/SAVEPOINT - Support automatic recovery in the event of failure CUBRID consists of a 3-tier structure of applications/interfaces, brokers, and servers, and the flexibility to build systems is ideal for data-intensive online transaction processing (OLTP) services. CUBRID provides ease of installation and native GUI-based administration tools for developers' convenience. Multi-threaded, multi-server architecture, native broker middleware, cost-based optimizer, and intensive caching techniques for your OLTP services. Very accurate predictable automatic fail-over built-in technology, based on the CUBRID Heartbeat native engine core.

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.

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.

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.

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.

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.

With relational database management systems (RDBMS), solutions from SAP SQL Anywhere, you can run your business from anywhere. Secure, reliable data management for servers without a DBA. Also, synchronization for thousands of mobile devices, IoT systems, and remote environments. Remote offices and mobile devices can receive critical business data for faster, more accurate decision-making. Mobile applications can be run reliably and efficiently even without the need for technical staff. This gives remote workers and mobile workers a seamless experience, even when they're not on-site. With built-in self-managing capabilities, users can streamline data maintenance tasks and resolve issues quickly and efficiently. Strong encryption features can help protect and secure your data even during data exchange and transmission.

Tibero has implemented a unique Tibero Thread Architecture to address the disadvantages of previous DBMSs. As a result, Tibero can make efficient use of system resources, such as CPU and memory, with fewer server processes. This ensures that Tibero offers high performance, reliability, and scalability, while facilitating efficient development and administration functions. Additionally, it provides users and developers with various standard development interfaces for easy integration with other DBMSs and 3rd party tools. In addition, Tibero adopts the block transfer technology to improve TAC, the shared database clustering which is similar to Oracle RAC. Through the enhanced function, Tibero supports performance optimization with self-tuning, reliable database monitoring, and performance management.

Postico is a database client. Postico can connect to either a local PostgreSQL Server on your Mac or remote servers on a different computer. Postgres.app is a great option if you are looking to install a local PostgreSQL Server on your Mac. Postgres.app will create a PostgreSQL Server on your Mac. It will create a new directory and an empty database the first time it starts. After a few seconds, the server will start and wait for connections. Postgres.app cannot start if another PostgreSQL Server is running on your computer. If you have problems, make sure to deactivate and uninstall any other PostgreSQL servers. Reboot your computer after uninstalling! First, create a favorite to connect to a PostgreSQL Server with Postico. A favorite contains parameters that allow you to connect to a server. Some parameters for connecting to a server are optional.

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.

Apache Phoenix combines the best of both worlds to enable OLTP and operational analysis in Hadoop. This allows for low-latency Hadoop applications. HBase is used as the backing store for Apache Phoenix, which combines the power of SQL and JDBC with ACID transaction support and flexibility of late bound, schema-on read capabilities from the NoSQL realm. Apache Phoenix is fully compatible with other Hadoop tools such as Spark and Hive. It also integrates with Pig, Flume and Map Reduce. Become the trusted Hadoop data platform for OLTP, operational analytics and Hadoop via well-defined APIs. Apache Phoenix compiles your SQL query into a series HBase scans and orchestrates their running to produce regular JDBC results sets. Direct use of HBase API along with coprocessors, custom filters and other tools results in performance of milliseconds or seconds for small queries.

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.

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.

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.

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.

Modernize and accelerate transaction-based applications both on-premise and in the Cloud. This SQL database server is high-performance and uses a relational management system to meet the rising demand for performance, reliability, efficiency, and productivity in every industry.

RDS for MySQL is a relational cloud database with high performance and reliability. It offers a simple and convenient web-based interface, reliable data backups and recovery features, as well as a complete security management service. RDS for MySQL is a relational database service that provides high-performance, high-reliability. It supports three series: stand-alone basic, dual high availability, and Raft Financial. It implements monitoring, automatic failureover, data backup, recovery, instance management and other features. It also meets the higher demands of customers for data management and storage, through slow SQL statistics, diagnosis, and reliable services such as cross domain hot instance groups. It supports disaster recovery for a single availability area and disaster recovery across multiple availability zones.

Oracle TimesTen In Memory Database (TimesTen), delivers real-time application performance (low response times and high throughput), by changing the assumptions about where data is located at runtime. Database operations are more efficient when data is managed in memory and access algorithms and data structures are optimized accordingly. This results in dramatic improvements in responsiveness and throughput. TimesTen Scaleout is a shared-nothing scale-out architecture that uses existing in-memory technologies. It allows databases to scale transparently across dozens of hosts, reach hundreds terabytes of size, and support hundreds of million transactions per second without the use of manual workload partitioning or database sharding.

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.

RDS for MySQL provides a reliable and scalable cloud-based database service. Database deployment is quick and easy. This allows you to focus on application development. You can say goodbye to tedious database O&M once again. With just a few clicks, you can easily create a MySQL database. RDS for MySQL allows you to deploy software and hardware and manage your databases. This includes monitoring metrics, installing patches, managing metrics, dynamically scaling up and down, failing over, and installing patches. RDS for MySQL excels in handling large numbers of concurrent requests thanks to its optimized kernel thresholds. It is superior to the MySQL community edition. RDS for MySQL uses implicit key primary keys to ensure that there is almost no delay in primary/standby replication. No data is lost, even when your database is loaded heavily. You can easily add 1 TB storage to your database as your storage requirements increase. This allows you to create read replicas quickly and with zero downtime.

QuasarDB is Quasar's brain. It is a high-performance distributed, column-oriented, timeseries database management software system that delivers real-time data for petascale use cases. You can save up to 20X on your disk usage Quasardb compression and ingestion are unmatched. Feature extraction can be performed up to 10,000 times faster. QuasarDB is able to extract features from raw data in real-time thanks to a combination of a builtin map/reduce engine, an aggregate engine that leverages SIMD from modern processors, and stochastic indices that consume virtually no disk space.

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.

Percona Server is a fully-compatible, enhanced and open-source drop-in replacement for MySQL. It offers superior performance, scalability and instrumentation. Percona Server boasts over 5,300,000. Downloads and support for high-performance hardware provide excellent performance and reliability. Percona Server MySQL offers enterprise-grade features, higher uptime, and a variety of key benefits that increase database performance and efficiency. Because users spend less time tuning and administering, they have more time to focus on the most important priorities. Percona is a market leader providing enterprise-class software and support. Consulting, managed services, as well as training for open-source databases that are both on-premise or cloud-based, include consulting, training, and consulting. Percona was founded with the belief that everyone should be able to access scalable, secure and efficient database software features without any vendor lock-in or excessive fees.

MariaDB Platform is an enterprise-level open-source database solution. It supports transactional, analytical, and hybrid workloads, as well as relational and JSON data models. It can scale from standalone databases to data warehouses to fully distributed SQL, which can execute millions of transactions per second and perform interactive, ad-hoc analytics on billions upon billions of rows. MariaDB can be deployed on prem-on commodity hardware. It is also available on all major public cloud providers and MariaDB SkySQL, a fully managed cloud database. MariaDB.com provides more information.

Open source solutions that require no maintenance can save you time and money. Your engineers will enjoy working with data because it is integrated, managed and highly reliable. DoubleCloud offers a range of managed open-source services, or you can leverage the full platform's power, including data storage and visualization, orchestration, ELT and real-time visualisation. We offer leading open-source solutions like ClickHouse Kafka and Airflow with deployments on Amazon Web Services and Google Cloud. Our no-code ELT allows real-time data sync between systems. It is fast, serverless and seamlessly integrated into your existing infrastructure. Our managed open-source data visualisation allows you to visualize your data in real time by creating charts and dashboards. Our platform is designed to make engineers' lives easier.

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.

SAP® MaxDB™ is a database management system that was developed by SAP SE.

FrontBase was designed to fulfill the demand for a reliable and scalable relational database server. It was internet-enabled, has no downtime, and requires zero administration. FrontBase's speed and flexibility can give you an edge in the market. FrontBase is a fast relational database server that can also scales well. FrontBase is used by our customers to create everything, from small personal databases to large enterprise-level databases. This is all without the need for costly database administration staff. FrontBase has been in business since 1996. They not only create tools but also mission-critical applications such as the Command and Control Center of the Copenhagen Police, which is a 24-hour emergency response system. FrontBase has three offices around the globe and a dedicated Support division. There are also separate divisions for Core Development, Tools, and Professional Services.

SQLite is a C language library that implements a small, fast and self-contained SQL database engine. It is highly reliable, compact, efficient, and fully-featured. SQLite is the most widely used database engine in the globe. SQLite is embedded in all mobile phones and computers. It also comes with countless other applications that people use every single day. SQLite is an embedded library that implements a self contained, serverless, zero configuration, transactional SQL database engine. The code for SQLite can be used for commercial and private purposes. SQLite is the most used database in the world, with many high-profile projects and more applications than we can count.