Alternatives to IBM Informix

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.

Raima Database Manager, 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.

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.

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.

This service provides the full feature set of Informix on premises deployments at a fraction of the cost and complexity. It also reduces risk and lowers your overall infrastructure management costs. The IBM®, Informix®, on Cloud offering offers an Informix database on IBM Cloud®. Customers can enjoy the rich features of an Informix on-premises deployment, while reducing the cost, complexity, and risk of managing their own infrastructure. Informix on Cloud is a high-performance engine that combines time series, spatial and NoSQL data with easy access via MQTT, REST, and MongoDB APIs. Informix on Cloud makes cloud deployments easier and faster. It integrates spatial, NoSQL, time series, and SQL data. Flexible hosting and software licensing options can help reduce the complexity and cost of infrastructure maintenance. With 24/7 support, you can choose the right size for your business.

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.

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.

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.

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.

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

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.

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.

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

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.

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.

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.

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.

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

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.

Proficy Historian, a top-of-the-line historian software solution, collects industrial time-series data and A&E data at a high speed, stores it securely and efficiently, distributes it, and allows fast retrieval and analysis. This results in greater business value. Proficy Historian has thousands of satisfied customers around the globe and decades of experience. It makes data available for process and asset performance analysis. Proficy Historian's latest version improves usability, configuration and maintainability by making significant architectural improvements. The solution's powerful yet simple features will allow you to unlock new value for your equipment, process data and business models. Remote collector management with UX. Horizontal scaling that allows enterprise-wide data visibility

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.

OpenTSDB is composed of a Time Series Daemon, (TSD), and a set of command-line utilities. OpenTSDB can only be interacted with by one or more TSDs. Each TSD can be run independently. There is no master or shared state, so you can run as many TSDs you need to handle any load. Each TSD uses the HBase open-source database or hosted Google Bigtable service for time-series data storage and retrieval. The data schema is optimized for fast aggregations and retrieval of similar time series, minimizing storage space. The TSD does not require users to directly access the underlying store. The TSD can be communicated with via a simple telnet protocol, an HTTP API, or a built-in GUI. OpenTSDB's first step is to send time series data directly to the TSDs. OpenTSDB has many tools that allow you to pull data from different sources.

Amazon Timestream is a fast, scalable and serverless time series data service for IoT/operational applications. It makes it possible to store and analyze trillions per day up to 1000 times faster than traditional relational databases and at as low as 1/10th of the cost. Amazon Timestream helps you save time and money when managing the lifecycles of time series data. It stores recent data in memory and moves historical data to a cost-optimized storage tier according to user defined policies. Amazon Timestream's purpose-built query tool allows you to access and analyze both recent and historic data simultaneously, without having to specify in the query whether the data is in the in-memory tier or the cost-optimized. Amazon Timestream's built-in time series analytics functions allow you to identify trends and patterns within your data in real-time.

Real-time analytics on raw data. Live ingest from S3, DynamoDB, DynamoDB and more. Raw data can be accessed as SQL tables. In minutes, you can create amazing data-driven apps and live dashboards. Rockset is a serverless analytics and search engine that powers real-time applications and live dashboards. You can directly work with raw data such as JSON, XML and CSV. Rockset can import data from real-time streams and data lakes, data warehouses, and databases. You can import real-time data without the need to build pipelines. Rockset syncs all new data as it arrives in your data sources, without the need to create a fixed schema. You can use familiar SQL, including filters, joins, and aggregations. Rockset automatically indexes every field in your data, making it lightning fast. Fast queries are used to power your apps, microservices and live dashboards. Scale without worrying too much about servers, shards or pagers.

Telegraf is an open-source server agent that helps you collect metrics from your sensors, stacks, and systems. Telegraf is a plugin-driven agent that collects and sends metrics and events from systems, databases, and IoT sensors. Telegraf is written in Go. It compiles to a single binary and has no external dependencies. It also requires very little memory. Telegraf can gather metrics from a wide variety of inputs and then write them into a wide range of outputs. It can be easily extended by being plugin-driven for both the collection and output data. It is written in Go and can be run on any system without external dependencies. It is easy to collect metrics from your endpoints with the 300+ plugins that have been created by data experts in the community.

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.

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.

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.

You need to ensure that your business applications are always available. A reliable database repository that can handle large volumes and is fault-tolerant is essential. CA Datacom® and its family rDBMS products provide that repository. For cost-effective, better database management, rock-solid database features zIIP specialty process exploitation. Participate more easily in mobile-to mainframe initiatives, cloud, web, and big data analytics with JDBC or ODBC. Manage high-volume workloads and use new hardware technologies that optimize memory.

Machbase is a time-series database that stores, analyzes, and displays a lot sensor data from different facilities in real time. It is the only DBMS that can process big data at high speed. Machbase's incredible speed is amazing! It is the most innovative product to enable real-time processing, storage and analysis of sensor data. DBMS embedded in Edge devices allows for high speed storage and inquiry of sensor data. DBMS running on a single server provides the best data storage and extraction performance. Multi-node cluster configuration with the benefits of availability and scaleability. Edge computing is a complete management solution for device, connectivity, and data.

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

Warp 10 is a modular open source platform that collects, stores, and allows you to analyze time series and sensor data. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 offers both a time series database and a powerful analysis environment, which can be used together or independently. It will allow you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The Platform is GDPR compliant and secure by design using cryptographic tokens to manage authentication and authorization. The Analytics Engine can be implemented within a large number of existing tools and ecosystems such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more. From small devices to distributed clusters, Warp 10 fits your needs at any scale, and can be used in many verticals: industry, transportation, health, monitoring, finance, energy, etc.

QuestDB is a relational database that uses column-oriented databases. It can be used for event and time series data. It uses SQL with extensions to time series to aid in real-time analytics. These pages provide information about core concepts of QuestDB. They include setup steps, usage guides, as well as reference documentation for syntax, APIs, and configuration. This section explains the architecture of QuestDB and how it stores and queries data. It also introduces new capabilities and features that are unique to the system. The core feature of QuestDB is the designated timestamp. It enables partitioning and time-oriented language capabilities. The symbol type makes it easy to store and retrieve repetitive strings. QuestDB's storage model describes how it stores records and partitions within tables. Indexes can be used to provide faster access to specific columns. Partitions can be used to provide significant performance improvements in calculations and queries. SQL extensions enable time series analysis that is efficient and concise with a concise syntax.

Interactive querying that is serverless for analyzing data stored in IBM Cloud Object Storage. You can query your data right where it is stored - there are no ETL, databases or infrastructure to manage.

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

The beauty of Canary Historian's solution is that it works on-site as well as for the entire enterprise. You can log data locally and send it to your enterprise historian simultaneously. The best part is that the solution grows with you. A single Canary Historian is capable of logging more than two million tags. Multiple Canary Historians can also be clustered to manage tens of thousands of tags. Enterprise historian solutions can be hosted in either your own data centers, or in AWS or Azure. Canary Historians are not dependent on specialized teams of ten or more to maintain, unlike other enterprise history solutions. The Canary Historian, a NoSQL time-series database, uses loss-less compression algorithms for high-speed performance without data interpolation.

Azure Time Series Intelligences Gen2 is an open-source, scalable IoT analytics service that can be integrated into existing workflows and applications. It can be used to collect, store, query, query, and visualize data at Internet of Things scale (IoT),-data that is highly contextualized and optimized in time series. Azure Time Series Insights Gen2 can be used for operational analysis and data exploration. It allows you to spot anomalies and uncover hidden trends. It is flexible and open to all industrial IoT deployments.

Gilhari is a microservice framework that provides persistence for JSON objects in relational database. This microservice framework is available as a Docker image and can be configured according to an app-specific object or relational model. Gilhari exposes REST (Representational State Transfer) interface for APIs (POST/GET, PUT and DELETE ) to perform CRUD (Create. Retrieve. Update. Delete) operations on app-specific JSON objects. Here are some highlights from Gilhari: * Metadata driven, object model independent and database agnostic framework * Easily customizable/configurable to your JSON object model * JSON attributes can be mapped to table columns, allowing full query capabilities as well as optimizations * Supports complex object modeling, including 1-m, 1-m and m-m relationships * No code is required to handle REST APIs (POST/GET, PUT/DELETE), data exchange (CRUD), or database schema creation.

SolidDB is renowned for its ability to deliver data at lightning speed. SolidDB is used in millions of applications and telecommunications networks worldwide. It is used by market leaders like Cisco, HP and Alcatel. SolidDB is able to perform faster than traditional databases by storing critical data in memory and not on disk. It allows applications to run hundreds of thousands to millions upon transactions per second, with response times of just a few microseconds. SolidDB provides game-changing performance and built-in data availability features to help maintain uptime, prevent data losses, and accelerate recovery. SolidDB also gives administrators the ability to customize the software to meet their specific application requirements. It also includes features that simplify administration and deployment, which can help reduce total cost of ownership (TCO).

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.

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

Percona XtraDB Cluster is an open-source, high availability, MySQL clustering solution. It helps enterprises reduce unexpected downtime and data losses, lower costs, and improve performance and scalability in their database environments. PXC supports critical business applications in the most demanding public and private cloud environments. Percona XtraDB Cluster, (PXC), preserves, secures and protects data as well as revenue streams, by providing the highest availability for business-critical applications. PXC can help you reduce costs, eliminate license fees, and meet budget constraints. Our integrated tools allow you to optimize, maintain, monitor, and monitor your cluster. This allows you to get the most from your MySQL environment.

BASIS Database Management System (DBMS), provides developers with relational access and fast direct navigational access. BASIS DBMS offers robust and powerful functionality that allows developers to combine powerful SQL statements with relational data access methods with performance and control over navigational operations, such as direct table and table movement and index and table access. The BASIS SQL engine allows developers to execute queries as well as other SQL statements using third-party products. Combining these two powerful data access methods yields the result set from an SQL query, or from a table that was opened directly on the server using the highly optimized BASIS ISAM engine. The result is a simple-to-use interface that supports SQL commands as well as direct-result set navigation.

Dqlite is an embedded, persistent SQL database that runs on Raft consensus. It is ideal for fault-tolerant IoT devices and Edge devices. Dqlite ("distributed SQLite") extends SQLite over a cluster of machines with automatic failover and high availability to keep your application running. C-Raft is an optimised Raft implementation in C that allows for high-performance transactional consensus, fault tolerance, and SQlite's small footprint. C-Raft has been designed to minimize transaction latency. C-Raft, dqlite and other programs are written in C to maximize cross-platform portability. Publication under the LGPLv3 License with a static linking exemption for maximum compatibility. Common CLI pattern is used for database initialization, voting member joins and exits. With automatic leader election, there is minimal, but not insignificant, delay for failover. Disk-backed database with in memory options and SQLite transaction.

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

High-performance, cross-platform columnar historical time-series columnar data featuring: - An in-memory computation engine - A streaming processor that streams real-time - A combination of a programming language and expressive query, q

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.

Open-source monitoring solutions are able to power your alerting and metrics. Prometheus stores all data in time series. These are streams of timestamped value belonging to the same metric with the same labeled dimensions. Prometheus can also generate temporary derived times series as a result of queries. Prometheus offers a functional query language called PromQL, which allows the user to select and aggregate time series data real-time. The expression result can be displayed as a graph or tabular data in Prometheus’s expression browser. External systems can also consume the HTTP API. Prometheus can be configured using command-line flags or a configuration file. The command-line flags can be used to configure immutable system parameters such as storage locations and the amount of data to be kept on disk and in memory. . Download: https://sourceforge.net/projects/prometheus.mirror/

KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, MS Access, SQLite and Cross-DBMS databases allowing to compare and sync both schema and data. Starting with a schema changes summary, results can be narrowed down to object lists of particular object type (table definitions, views, etc.), and then down to definition of particular object. Data changes can be retrieved as a high-level list of changes totals across all tables in the database, each total row count can be observed as a side-by-side list of rows for the given table, each changed row can be analyzed for changes in each column. Various diff results provide quick filters to show only new/changed/new+changed items (schema objects or table data rows), ability to select required changed items and generate scripts to apply these changes to the other side database. This script can be executed immediately or saved for future use.