VoltDB Alternatives

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production. Standard connection drivers and built-in migration tools allow you to create and connect to your first database in just a few minutes.

Raima Database Manager is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS . Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.

The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source distributed database running queries in milliseconds, whatever the complexity, volume and velocity of data.

IBM Informix® is a fast and flexible database with the ability to seamlessly integrate SQL, NoSQL/JSON, and time series and spatial data. Its versatility and ease of use make Informix a preferred solution for a wide range of environments, from enterprise data warehouses to individual application development. Also, with its small footprint and self-managing capabilities, Informix is well suited for embedded data-management solutions. IoT data demands robust processing and integration capabilities. Informix offers a hybrid database system with minimal administrative requirements and memory footprint combined with powerful functionality. Key features make Informix ideal for multi-tiered architectures that require processing at the device level, at gateway layers and in the cloud. Native encryption to protect data at rest and in motion. Support for flexible schema, multiple APIs and configurations.

Fully managed and hosted PostgreSQL with high performance and all the extensions you want out of the box. Set up fully managed PostgreSQL in less than 10 minutes — directly from our web console or programmatically via our API, CLI, Terraform provider or Kubernetes operator. Our stand-by nodes act automatically as read replicas, and you can also create additional read replicas in different public clouds and regions, even building multi-cloud architectures. Our Point-In-Time-Recovery lets you restore your data to any time within your selected retention period. A fully managed SQL relational database, deployable in the cloud of your choice. Known for reliability, a robust set of features, and exceptionally high performance. Fits well for almost any case, such as creating location-based services, mission critical business applications or simply as a general transactional database.

IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor.

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 up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.

Tibero is a relational model-based standard DBMS that has been developed with stable architecture that requires minimal resources from the design step. It allows to efficiently respond to big data processing requests from massive sessions. In addition, it provides a flexible and user-friendly development and easy operating environment based on standards and compatibility. - Multi-Process, multi-thread architecture and various data processing technologies, which support reliable and effective resource management and rapidly process multi-user requests. 1. Shared-disk based active clustering that assures high availability and reliability. 2. Development environment compatibility in compliance with standards.

Run your business from anywhere with relational database management system (RDBMS) solutions from SAP SQL Anywhere. Enable secure, reliable data management for servers where no DBA is available and synchronization for tens of thousands of mobile devices, Internet of Things (IoT) systems, and remote environments. Deliver critical business data to remote offices and mobile devices for more accurate, real-time decision-making at the front lines of your business. Run mobile applications reliably and efficiently without on-site technical staff, giving mobile and remote workers an always on experience, even when they are offline. Streamline data maintenance tasks with built-in self-managing features that help users resolve issues quickly and efficiently. Protect and secure your data, even during data transmission and exchange, with powerful encryption features.

Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. When you're curious about what's in your data; when you want to work efficiently; when your deadline is closing: MonetDB returns query result in mere seconds or even less. When you want to (re)use your own code; when you need specialised functions: use the hooks to add your own user-defined functions in SQL, Python, R or C/C++. Join us and expand the MonetDB community spread over 130+ countries with students, teachers, researchers, start-ups, small businesses and multinational enterprises. Join the leading Database in Analytical Jobs and surf the innovation! Don’t lose time with complex installation, use MonetDB’s easy setup to get your DBMS up and running quickly.

Postico is a database client. Postico can connect to a local PostgreSQL server running on your Mac, or to remote servers running on a different computer. If you want to install a local PostgreSQL server on your Mac, I recommend Postgres.app. Postgres.app starts a PostgreSQL server running locally on your Mac. The first time it starts it will automatically create a new data directory and set up an empty database. After a few moments, the server will be running and waiting for connections. Postgres.app can't start when another PostgreSQL server is already running on your computer. If you run into problems, make sure to deactivate or uninstall other PostgreSQL installations. Reboot your computer after uninstalling! To connect to a PostgreSQL server with Postico, you must first create a favorite. A favorite contains parameters for connecting to a server. Some connection parameters are optional.

As data volumes grow faster than ever, businesses struggle to get answers. Teradata Vantage™ solves this problem. Vantage uses 100 percent of available data to uncover real-time business intelligence at scale, powering the new era of Pervasive Data Intelligence. See all data from across the entire organization in one place, whenever it's needed, with preferred languages and tools. Start small and elastically scale compute or storage in areas that impact modern architecture. Vantage unifies analytics, Data Lakes, and Data Warehouses, all in the cloud to enable business intelligence. The importance of business intelligence increases. Frustration stems from four key challenges that arise when using existing data analytics platforms: Lack of proper tools and supportive environment needed to achieve quality results. Organizations do not authorize or provide proper accessibility to the necessary tools. Data preparation is difficult.

RDS for MySQL (Relational Database Service for MySQL) is a professional high-performance and high-reliability relational cloud database service. It provides simple and convenient web interface management, reliable data backup and recovery features, and complete security management and monitoring service. RDS for MySQL provides a high-performance and high-reliability relational database service. It supports three series, i.e., stand-alone basic version, dual high-availability version, and Raft financial version. It supports the standard database protocol by default and implements monitoring, automatic failover, data backup and recovery, instance management, and other features. Furthermore, it meets the customers' higher requirements for data management and storage through slow SQL statistics and diagnosis and reliable services, such as cross-domain hot instance groups. It supports the disaster recovery of a single availability zone and disaster recovery across availability zones.

RDS for MySQL is a reliable and scalable cloud database service. You can deploy databases within minutes and stay focused on application development. Say goodbye to stressful database O&M once and for all. You can create a MySQL database in minutes with just a few clicks. RDS for MySQL facilitates software and hardware deployment and helps you manage your databases, including installing patches, monitoring metrics, dynamically scaling up or down, and failing over if needed. With optimized kernel thresholds, RDS for MySQL excels at handling massive amounts of concurrent requests. It outperforms the MySQL community edition. RDS for MySQL uses implicit primary keys to ensure almost zero delay of primary/standby replication. No data is lost even when your database is heavily loaded. As your storage requirements grow, you can easily provision 1 TB of storage for read replicas on-the-fly with zero downtime.

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

Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance.

LeanXcale is a fast and scalable database that combines the characteristics of SQL and NoSQL. It is built to ingest massive batch and real-time data pipelines and make it available through SQL or GIS for any use, such as operational applications, analytics, dashboarding, or machine learning processing. No matter what stack you use, LeanXcale provides you both SQL and NoSQL interfaces. KiVi storage engine is a relational key-value data store. Users can access the data not only through the standard SQL API but also through a direct ACID key-value interface. This key-value interface allows users to perform data ingestion at very high rates and very efficiently by avoiding SQL processing overhead. Highly-scalable, efficient and distributed storage engine distributed data along the cluster to improve the performance and increase the reliability.

Save time & costs by streamlining data pipelines with zero-maintenance open source solutions. From ingestion to visualization, all are integrated, fully managed, and highly reliable, so your engineers will love working with data. You choose whether to use any of DoubleCloud’s managed open source services or leverage the full power of the platform, including data storage, orchestration, ELT, and real-time visualization. We provide leading open source services like ClickHouse, Kafka, and Airflow, with deployment on Amazon Web Services or Google Cloud. Our no-code ELT tool allows real-time data syncing between systems, fast, serverless, and seamlessly integrated with your existing infrastructure. With our managed open-source data visualization you can simply visualize your data in real time by building charts and dashboards. We’ve designed our platform to make the day-to-day life of engineers more convenient.

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. 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. Multi-volume support, automatic volume expansion, and unlimited number and size of databases/ tables/indexes.

Scale as needed with no limits: Globally distributed, ACID-compliant database that automatically handles replicas, sharding, and transaction processing, so you can quickly scale to meet any usage pattern and ensure the success of your products. Cloud Spanner is built on Google’s dedicated network and battle-tested by Google services used by billions. It offers up to 99.999% availability with zero downtime for planned maintenance and schema changes. Do fewer thankless tasks with a simpler experience: IT Admins and DBAs are inundated with operating databases. With Cloud Spanner, creating or scaling a globally replicated database now takes a handful of clicks and reduces your cost of maintaining databases.

Offers the complete feature set of Informix on-premises deployments with less cost, complexity and risk than managing your own infrastructure. The IBM® Informix® on Cloud offering provides an Informix database on IBM Cloud®. It offers customers the rich features of an on-premises Informix deployment while helping reduce the cost, complexity and risk of managing your own infrastructure. Informix on Cloud brings you a high-performance engine that integrates time series, spatial, NoSQL and SQL data together with easy access through MQTT, REST and MongoDB APIs. Accelerate and simplify your cloud deployments with Informix on Cloud and take advantage of the high-performance Informix engine that integrates time series, spatial, NoSQL and SQL data. Help reduce the cost and complexity of infrastructure maintenance using flexible hosting and software licensing options. Choose the size that meets your business needs, with always-on support.

Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change.

The Cloud that makes sense. From high-performance cloud ecosystem to hyperscale green datacenters, Scaleway provides the foundation for digital success. Cloud platform designed for developers & growing companies. All you need to create, deploy and scale your infrastructure in the cloud. Compute, GPU, Bare Metal & Containers. Evolutive & Managed Storage. Network. IoT. The largest choice of dedicated servers to succeed in the most demanding projects. High-end dedicated servers Web Hosting. Domain Names Services. Take advantage of our cutting-edge expertise to host your hardware in our resilient, high-performance and secure data centers. Private Suite & Cage. Rack, 1/2 & 1/4 Rack. Scaleway data centers. Scaleway is driving 6 data centers in Europe and offers cloud solutions to customers in more that 160 countries around the world. Our Excellence team: Experts by your side 24/7 year round Discover how we help our customers to use, tune & optimize their platforms with skilled expert

SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.

Serverless, interactive querying for analyzing data in IBM Cloud Object Storage. Query your data directly where it is stored, there's no ETL, no databases, and no infrastructure to manage. IBM Cloud SQL Query uses Apache Spark, an open-source, fast, extensible, in-memory data processing engine optimized for low latency and ad hoc analysis of data. No ETL or schema definition needed to enable SQL queries. Analyze data where it sits in IBM Cloud Object Storage using our query editor and REST API. Run as many queries as you need; with pay-per-query pricing, you pay only for the data scan. Compress or partition data to drive savings and performance. IBM Cloud SQL Query is highly available and executes queries using compute resources across multiple facilities. IBM Cloud SQL Query supports a variety of data formats such as CSV, JSON and Parquet, and allows for standard ANSI SQL.

CockroachDB: Cloud-native, distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services deserve a database that scales across clouds, eases operational complexity, and improves reliability. CockroachDB delivers resilient, distributed SQL with ACID transactions and data partitioned by location. Automate operations for mission-critical applications by pairing CockroachDB with orchestration tools like Kubernetes and Mesosphere DC/OS. Every node can service both reads and writes so that you can scale query throughput and database capacity by simply adding more endpoints. Just add new nodes to CockroachDB, and it automatically rebalances data, completely removing the pain of manual sharding. As demand shifts, CockroachDB detects hotspots and intelligently distributes data to maintain performance. Tune your database at the row level so that data lives close to your users and you can minimize query latency.

Enhance in-the-moment decision-making with SAP IQ, our columnar relational database management system (RDBMS) optimized for Big Data analytics. Gain maximum speed, power, and security, while supporting extreme-scale enterprise data warehousing and Big Data analytics, with this affordable, efficient relational database management system (RDBMS) for SAP Business Technology Platform. Deploy as a fully managed cloud service on a major hyper scale platform. Ingest, store, and query large data volumes within a relational data lake that provides a native object storage for most file types. Provide a compatible, fully managed cloud option for SAP IQ customers that extend existing Sybase investments. Simplify the migration of existing SAP IQ databases to the cloud. Make Big Data available faster to applications and people for in-the-moment decisions.

TimescaleDB is the leading open-source relational database with support for time-series data. Fully managed or self‑hosted. Rely on the same PostgreSQL you know and love, with full SQL, rock-solid reliability, and a massive ecosystem. Write millions of data points per second per node. Horizontally scale to petabytes. Don’t worry about cardinality. Simplify your stack, ask more complex questions, and build more powerful applications. Spend less with 94-97% compression rates from best-in-class algorithms and other performance improvements. A modern, cloud-native relational database platform for time-series data based on TimescaleDB and PostgreSQL. The fast, easy, and reliable way to store all your time-series data. All observability data is time-series data. Efficiently finding and addressing infrastructure and application issues is a time-series problem.

Create relational or flat file databases with unlimited tables, fields, and rows. Includes a custom report builder. Interface with ODBC compatible databases and create custom reports for them. Create your own personal and custom databases. Some Highlights: - Filter tables instantly - Ultra simple graphical-user-interface - One click table and data form creation - Open up to 5 databases simultaneously - Export your data to comma separated files - Create custom reports for all your databases - Full helpfile to assist in creating database reports - Print tables and queries directly from the data grid - Supports any SQL standard that your ODBC compatible database requires Please install and run this database application with full administrator rights for best performance and user experience. Requires: . 1024x768 Display Size . Windows 98 / XP / 7 / 8 / 10 - 32bit and 64bit No Java or DotNet required. Green Energy Software. Saving the planet one bit at a time...

PolarDB is designed for business-critical database applications that require fast performance, high concurrency, and automatic scaling. You can scale up to millions of queries per second and 100 TB per database cluster with 15 low latency read replicas. PolarDB is six times faster than standard MySQL databases, and delivers the security, reliability, and availability of traditional commercial databases at 1/10 the cost. PolarDB embodies the proven database technology and best practices honed over the last decade that supported hyper-scale events such as the Alibaba Double 11 Global Shopping Festival. To support the developer community, we are introducing Always Free ApsaraDB for PolarDB (all three variations) when you use no more than 1 instance (2-core and 8GB of memory), and up to 50GB of storage. Register now and renew each month to continue this benefit. Regional resource availability is subject to change.

HEAVY.AI is the pioneer in accelerated analytics. The HEAVY.AI platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallelism of modern CPU and GPU hardware, the platform is available in the cloud and on-premise. HEAVY.AI originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Expand beyond the limitations of traditional BI and GIS by leveraging the full power of modern GPU and CPU hardware so you can extract decision-quality information from your massive datasets without lag. Unify and explore your largest geospatial and time-series datasets to get the complete picture of the what, when, and where. Combine interactive visual analytics, hardware-accelerated SQL, and an advanced analytics & data science framework to find opportunity and risk hidden in your enterprise when you need to most.

Virtuoso Universal Server is a modern platform built on existing open standards that harnesses the power of Hyperlinks ( functioning as Super Keys ) for breaking down data silos that impede both user and enterprise ability. Using Virtuoso, you can easily generate financial profile knowledge graphs from near real time financial activity that reduce the cost and complexity associated with detecting fraudent activity patterns. Courtesy of its high-performance, secure, and scalable dbms engine, you can use intelligent reasoning and inference to harmonize fragmented identities using personally identifying attributes such as email addresses, phone numbers, social-security numbers, drivers licenses, etc. for building fraud detection solutions. Virtuoso helps you build powerful solutions applications driven by knowledge graphs derived from a variety of life sciences oriented data sources.

SAP® MaxDB™ is the database management system developed and supported by SAP SE. SAP MaxDB™ is SAP's own database. It is specifically designed to provide lower total cost of ownership (TCO) for SAP applications. SAP solutions use SAP MaxDB to store both application logic and business data. The database is a central component of any SAP solution installation and provides the basis for its reliability. Information about creating and configuring a database, monitoring, backing up and recovering data, exporting and importing data, managing users, analyzing database performance, using SQL optimizer, searching for errors, developing database applications and further activities. Tools integrated in the Computing Centre Management System (CCMS) for analyzing a SAP MaxDB database, scheduling actions and monitoring the database functions and alerts. Command line tool for database administration.

RelationalAI is a next-generation database system for intelligent data applications based on relational knowledge graphs. Data-centric application design brings data and logic together into composable models. Intelligent data applications understand and make use of each relation that exists in a model. relational provides a knowledge graph system to express knowledge as executable models. These models can be easily extended through declarative, human-readable programs. RelationalAI’s expressive, declarative language leads to a 10-100x reduction in code. Applications are developed faster, with superior quality by bringing non-technical domain experts into the creation process and by automating away complex programming tasks. Take advantage of the extensible graph data model as the foundation of data-centric architecture. Integrate models to discover new relationships and break down barriers between applications.

SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time.

Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.

Altibase is an enterprise-grade, high-performance and relational open source database. A single database that delivers high-intensity data processing through an in-memory database portion and large storage capacity through an on-disk database portion. 10 times faster than conventional on-disk databases. Clients have consistently chosen Altibase over Oracle, IBM, Microsoft, and others. Altibase has replaced many traditional on-disk databases in various industries that require real time solutions since 1999. Altibase now has over 650 global enterprise clients including 8 Fortune Global 500 companies with thousands of mission-critical deployments worldwide. Product maturity rich with function and feature. Altibase is open source which includes its cutting-edge scale-out technology, sharding. No license costs with flexible and competitive subscription fees. 20 years’ accumulated know-how of dealing with over 6,000 mission-critical use cases.

Proficy Historian is a best-in-class historian software solution that collects industrial time-series and A&E data at very high speed, stores it efficiently and securely, distributes it, and allows for fast retrieval and analysis —driving greater business value. With decades of experience and thousands of successful customer installations around the world, Proficy Historian changes the way companies perform and compete by making data available for asset and process performance analysis. The most recent Proficy Historian enhances usability, configurability and maintainability with significant architectural improvements. Take advantage of the solution’s simple yet powerful features to unlock new value from your equipment, process data, and business models. Remote collector management with UX. Horizontal scalability that enables enterprise-wide data visibility.

HanDBase is a light and fast relational database manager for mobile devices which offers data entry, searching, sorting, filtering, printing and synchronization across a wide variety of desktop computers, tablets, handheld computing devices and smartphones. With HanDBase you can keep track of almost anything. Create your own custom data based applications in minutes using HanDBase and begin tracking whatever important information you need to be more productive while on the go. HanDBase is available as a separate product for many different devices and Operating Systems. Cross-platform technology makes it possible to seamlessly share database files & records with different types of devices. Forms Designer is available for some versions. Create completely custom interfaces for your records. Multi-user Syncing technology merges two or more users data into a single database / table.

Fujitsu Enterprise Postgres is an exceptionally reliable and robust relational database, created for organizations that require strong query performance and high availability. It is based on the world-renowned open-source system — PostgreSQL, with additional enterprise-grade features for enhanced security and better performance. Fujitsu Enterprise Postgres is installed and operated by Fujitsu’s database experts who can also assist with the migration of data from your existing database. Based on PostgreSQL, FEP is highly compatible with other systems and applications. The simple, clean graphic user interface improves the experience for DBAs executing core database functions, such as running queries, scanning, and back-up, making your data and reporting more accessible.

We’re thrilled to announce that Software Tree has won a 2021 DEVIES Award in the code frameworks/libraries category for its innovative Gilhari microservice framework. Gilhari makes it easy for developers to quickly develop high-performance, database-agnostic, and Docker-compatible RESTful applications that need to interact with JSON data in cloud or on-premises. The object-oriented world and the relational world are conceptually different. Manually writing the verbose mapping logic to bridge the gap between the object-oriented and relational artifacts is tedious and time-consuming. Software Tree’s ORM technology frameworks are lightweight in their design and implementation and provide a lightweight feel in their usage. The lightweight aspects of our ORM technology do not compromise on its power and functionality, though. This results in faster development and deployment of modern applications that require flexible object-oriented access to relational data.

PostgreSQL is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. There is a wealth of information to be found describing how to install and use PostgreSQL through the official documentation. The open-source community provides many helpful places to become familiar with PostgreSQL, discover how it works, and find career opportunities. Learm more on how to engage with the community. The PostgreSQL Global Development Group has released an update to all supported versions of PostgreSQL, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23. This release fixes 25 bugs reported over the last several months. This is the final release of PostgreSQL 10. PostgreSQL 10 will no longer receive security and bug fixes. If you are running PostgreSQL 10 in a production environment, we suggest that you make plans to upgrade.

The BASIS Database Management System (DBMS) provides the developer with relational access and high speed direct navigational access to their data. The BASIS DBMS provides robust and powerful functionality allowing developers the flexibility to combine powerful SQL statements and relational data access methods with the performance and control of navigational operations such as direct table and index access and direct table movement. In addition, the BASIS SQL engine enables developers to execute queries and other SQL statements from third party products. Combining these two powerful data access methods returns the result set from an SQL query or from a table opened directly on the server via the highly optimized BASIS ISAM database engine. The result is an easy-to-use interface that supports SQL commands and direct-result-set navigation, all in one integrated solution.

Percona XtraDB Cluster (PXC) is a high availability, open-source, MySQL clustering solution that helps enterprises minimize unexpected downtime and data loss, reduce costs, and improve the performance and scalability of your database environments. PXC supports your critical business applications in the most demanding public, private, and hybrid cloud environments. Percona XtraDB Cluster (PXC) preserves, secures, and protects data and revenue streams by providing the highest level of availability for your business-critical applications. PXC helps you increase efficiency, eliminate license fees, and lower your total cost of investment, helping you meet budget constraints. Our integrated tools enable you to optimize, maintain, and monitor your cluster. This ensures you get the most out of your MySQL environment.

ThinkSQL is a powerful, cross-platform relational database management system designed for modern operating systems and hardware. It aims to comply fully with the ISO SQL standard to provide an open and flexible SQL server for your applications. Compliance with the SQL standard means it supports transactions, sub-selects, views, set operators (union, except, intersect), access privileges and comprehensive referential constraints to ensure the integrity of your data. ThinkSQL uses a multi-versioning engine to provide consistent views of data and concurrent access to rows without locking. The server also has stored procedures and functions (using the standard syntax), and has support for large multimedia objects. It's easy to install, runs on Windows ® and Linux ®, and has native ODBC, JDBC™, dbExpress™ and Python drivers so your applications can connect directly from any platform.

Enable the continuous availability of your business applications. You need a reliable database repository with enterprise-wide, high-volume workload and fault-tolerant capabilities. CA Datacom®, and its family of rDBMS products, provides you with that repository. The rock-solid database features zIIP specialty processor exploitation for improved, cost-effective database management. Let’s you more easily participate in mobile-to-mainframe initiatives, cloud, web and big data analytics using JDBC and ODBC. Manage high-volume workloads, and in each new release, utilizes new hardware technologies with an improved memory optimization technique. A DBA or Systems Programmer can query the Dynamic System Tables within a Multi-User Facility region in a given LPAR to monitor and manage the environment more easily with modern tooling. The modern day developer, relatively new to the mainframe can maintain source using a modern/open IDE such as Visual Studio Code or Eclipse CHE.

A database clustering system for horizontal scaling of MySQL. Vitess combines many important MySQL features with the scalability of a NoSQL database. Its built-in sharding features let you grow your database without adding sharding logic to your application. Vitess automatically rewrites queries that hurt database performance. It also uses caching mechanisms to mediate queries and prevent duplicate queries from simultaneously reaching your database. Vitess automatically handles functions like master failovers and backups. It uses a lock server to track and administer servers, letting your application be blissfully ignorant of database topology. Vitess eliminates the high-memory overhead of MySQL connections. Vitess servers easily handle thousands of connections at once. MySQL doesn’t natively support sharding, but you will likely need it as your database grows.

An enhanced version of PostgreSQL that is continuously synchronized with PostgreSQL's with enhancements for Security, DBA and Developer features and Oracle database compatibility. Manage deployment, high availability and automated failover from Kubernetes. Deploy anywhere with lightweight, immutable Postgres containers. Automate with failover, switchover, backup, recovery, and rolling updates. Operator and images are portable to any cloud so you can avoid lock-in. Overcome containerization and Kubernetes challenges with our experts. Oracle compatibility means you can leave your legacy database without starting over. Migrate database and client applications faster with fewer rewrite problems. Improve the end-user experience by tuning and boosting performance. Deploy on-premises, in the cloud, or both. In a world where downtime means revenue loss, High Availability is key for business continuity.

TIBCO ComputeDB™ is a memory optimized database based on Apache Spark. It delivers very high throughput, low latency, and high concurrency for unified analytic workloads that may combine streaming, interactive analytics and artificial intelligence in a single, easy to manage distributed cluste