Alternatives to solidDB

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

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.

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.

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.

Empress Embedded Database engine, a relational database management software that specializes in embedded database technology, is the heartbeat behind EMPRESS RDBMS. It's a relational database management tool that focuses on embedded database technology. From car navigation systems to mission-critical military command and control systems, to complex medical systems and Internet routers, EMPRESS keeps a steady beat, 24 hours / 7, at the core of embedded system applications all over the world. Empress kernel level mr API gives users access the Empress Database kernel libraries. This is a unique feature in Empress. This Empress API is the fastest way to access Empress databases. MR Routines allow developers to have complete control over space and time when developing embedded database applications. Empress ODBC APIs and JDBC APIs allow Empress databases to be accessed in standalone or client/server modes. Empress ODBC APIs and JDBC APIs allow many 3rd-party ODBC/JDBC capable software packages access to Empress databases via Empress Connectivity Server or local Empress databases.

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.

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.

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.

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.

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

Free to create, manage, query, and explore Valentina DB and SQLite databases. You can create business reports in Valentina Studio Pro, Valentina Server, or in an application using an Application Developer Kit. Standard backward engineering with forwarding engineering in Valentina Studio Pro Create diagrams from existing databases and reverse engineering. Add new objects to diagrams. SQL queries can be written with color syntax and auto-completion. Define, manage, save favorite queries; access recent queries. Each function has a function browser dictionary. Consoles for errors and warnings. Search, Export result records to CSV, JSON or Excel. Edit multiple properties at once. You can drill down to fields and tables; it is a fast way to search. Create diagrams from existing databases by reverse engineering. Diagrams can be updated with new objects. Manage privileges and users by adding and dropping users and groups.

Firebird is a relational data base that supports many ANSI SQL standards. It runs on Linux, Windows, and a range of Unix platforms. Firebird provides high concurrency, high performance and powerful language support for stored procedure and triggers. Since 1981, it has been used in production systems under many names. The Firebird Project is a commercially-independent project consisting of C and C++ programmers, technical advisers, and supporters. It develops and enhances a multi-platform relational data management system that uses the source code released by Inprise Corp (now Borland Software Corp) 25 July 2000.

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.

MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.

Actian Zen is a low-maintenance, embedded database management system that is high-performance and designed for edge applications, IoT, mobile devices and IoT environments. It provides developers with flexibility when working with unstructured and structured data. Actian Zen's small footprint, scalability and high reliability make it ideal for resource-constrained settings where consistent performance and minimal administration overhead are essential. It supports real-time analytics and data processing with built-in security and a self tuning architecture without the need for constant maintenance or monitoring. Actian Zen is used by many industries, including healthcare, retail and manufacturing, in which edge computing and distributed data environments play a critical role for business operations.

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.

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.

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.

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.

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.

InfobrightDB is a high performance enterprise database that leverages a columnar storage engine to allow business analysts to quickly and efficiently dissect data and obtain reports. InfoBrightDB can be deployed either on-premises or in the cloud.

Use CA's Web-enabled, high performance mainframe relational database management software to achieve superior database performance at a low cost and maximum flexibility.

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.

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

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

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.

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.

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

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.

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.

LanceDB is an open-source database for AI that is developer-friendly. LanceDB provides the best foundation for AI applications. From hyperscalable vector searches and advanced retrieval of RAG data to streaming training datasets and interactive explorations of large AI datasets. Installs in seconds, and integrates seamlessly with your existing data and AI tools. LanceDB is an embedded database with native object storage integration (think SQLite, DuckDB), which can be deployed anywhere. It scales down to zero when it's not being used. LanceDB is a powerful tool for rapid prototyping and hyper-scale production. It delivers lightning-fast performance in search, analytics, training, and multimodal AI data. Leading AI companies have indexed petabytes and billions of vectors, as well as text, images, videos, and other data, at a fraction the cost of traditional vector databases. More than just embedding. Filter, select and stream training data straight from object storage in order to keep GPU utilization at a high level.

The superfast nosql database for mobile devices and iot, with integrated data sync. High-performance Objectbox runs 10x faster than other databases, improving response times and enabling real time applications. Check out our benchmarks. From sensor to server, and everything in between. We support windows, mac/ios and android. Containerized or embedded. Sync data seamlessly. Objectbox's out-of-the box synchronization makes data readily available so your app can go live faster. Offline first Create applications that can work offline and online, without the need for an internet connection. This gives you an "always on"-feeling. Save time and dev. Save time and dev. Objectbox can help you reduce time-to-market, development and lifecycle costs, and free up valuable developer time to do tasks that add value. Objectbox helps reduce cloud costs by persisting data locally (on-the edge) and syncing data faster and more efficiently.

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.

VelocityDB is a database platform unlike any other. It stores data faster and more efficiently than other databases engines at a fraction the cost. It stores.NET objects in their original form without any mapping to tables, JSON, or XML. VelocityGraph, an open-source property graph database, can be used in conjunction the VelocityDB object data base. Object and graph database engine VelocityDB, a C#.NET NoSQL object database, can be extended to VelocityGraph. World's fastest most scalable & flexible database. A bug reported with a reproducible case is usually fixed within one week. This database system offers the greatest benefit, flexibility. You can fine-tune your application like no other database system. You can choose the most suitable data structure for your application with VelocityDB. You can choose where and how the data is indexed and accessed.

Easy creation of database apps in formats that best suit your business. Only for PC. Access is an easy-to use tool to create business applications from templates or from scratch. Access's rich and intuitive design tools will allow you to create highly functional and appealing applications in a short time. You can tailor your apps to suit your business and customers by easily editing as necessary to meet changing needs. Visual Basic for Applications allows you to automate business processes, create more useful forms, and report. Access connector library allows you to integrate data between Access and line of business apps. This will allow you to generate aggregated visuals, insights, and visuals in the familiar Access interface. Store data in SQL Server or Microsoft Azure SQL for improved reliability, scalability and security.

You can create flat or relational databases with unlimited fields, tables, and rows. A custom report builder is included. Create custom reports by connecting to compatible ODBC databases. You can create your own databases. Here are some highlights: Filter tables instantly - Ultra simple graphical-user-interface - One-click table and data form creation - You can open up to 5 databases simultaneously Export your data to comma-separated files - Create custom reports to all your databases - A complete helpfile for creating database reports - You can print tables and queries directly from your data grid - Supports any SQL standard your ODBC compatible databases require For best performance and user experience, please install and run this database app with full administrator rights. Requirements: . 1024x768 Display Size . Windows 98 / XP / Windows 8 / Windows 10 - 32bit or 64bit No Java or DotNet are required. Green Energy Software. One step at a time, saving the planet

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.

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.

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

Virtuoso, a Data Virtualization platform that enables fast and flexible harmonization between disparate data, increases agility for both individuals and enterprises. Virtuoso Universal server is a modern platform built upon existing open standards. It harnesses the power and flexibility of Hyperlinks (functioning like Super Keys) to break down data silos that hinder both enterprise and user ability. Virtuoso's core SQL & SPARQL powers many Enterprise Knowledge Graph initiatives, just as they power DBpedia. They also power a majority nodes in Linked Open Data Cloud, the largest publicly accessible Knowledge Graph. Allows for the creation and deployment of Knowledge Graphs atop existing data. APIs include HTTP, ODBC and JDBC, OLE DB and OLE DB.

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

HSQLDB (HyperSQL DataBase), is the most popular SQL relational database system in Java. It is a small, fast, multithreaded, transactional database engine that supports both embedded and server modes. It also includes simple GUI query tools and a powerful command-line SQL tool. HSQLDB supports all the SQL Standard features found in an open-source database engine, including the SQL:2016 core language features as well as a wide range of optional SQL:2016 features. With only two exceptions, it supports Advanced ANSI-92 SQL. Many extensions to the Standard are supported, including syntax compatibility modes, and features of popular database engines.

Berkeley DB is a set of embedded key-value databases libraries that provide high-performance data management services for applications.

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.

Neo4j's graph platform is designed to help you leverage data and data relationships. Developers can create intelligent applications that use Neo4j to traverse today's interconnected, large datasets in real-time. Neo4j's graph database is powered by a native graph storage engine and processing engine. It provides unique, actionable insights through an intuitive, flexible, and secure database.

InterSystems Cache®, a high-performance database, powers transaction processing applications all over the globe. It's used for everything, from mapping a million stars in the Milky Way to processing a trillion equity trades per day to managing smart energy grids. InterSystems has developed Cache, a multi-model (object-relational, key-value), DBMS and application server. InterSystems Cache offers multiple APIs that allow you to work with the same data simultaneously: key/value, relational/object, document, multidimensional, object, object, and object. Data can be managed using SQL, Java, node.js.NET, C++ and Python. Cache also offers an application server that hosts web apps (CSP, REST, SOAP and other types TCP access for Cache data).

Perst, an object-oriented embedded database (ODBMS) from McObject, is open source and dual licensed. It is available as a Java-only embedded database and a C# version (for Microsoft's.NET Framework). Perst allows developers to store, sort and retrieve objects with minimal memory and storage overhead, while leveraging Java and C#'s object-oriented paradigm. Perst's performance advantage over Java or.NET embedded databases is evident in the TestIndex benchmarks and PolePosition benchmarks. Perst stores data in Java and.NET object, eliminating the need for translations required to store in relational or object-relational database. This increases performance at runtime. Perst is a core program that only has five thousand lines. The small footprint places minimal demands on the system resources.

LevelDB is a fast key/value storage library that Google has created. It provides an ordered mapping of string keys to string value. Keys and values can be stored in arbitrary byte arrays. Data is stored in key order. To override the order of the data, callers can provide a custom comparator function. Multiple changes can be made to an atomic batch. To maintain a consistent view of data, users can create a temporary snapshot. Data can be used for forward and backward iteration. Snappy is used to automatically compress data. External activity (file system operations, etc.) The information is transmitted via a virtual interface to allow users to customize the operating system interactions. A database with over a million entries is used. Each entry is assigned a 16-byte key and a 100-byte value. The benchmark reduces the size of the values to approximately half of their original size. The benchmark lists the performance of sequential reading in the forward and reverse directions, as well as the performance of random lookups.

We have created a powerful system for product information management (PIM), media asset management (MAM), and cross media publishing based on our advastamedia®/O product media data database. All media related to product, marketing and PR are processed and managed. Consequently, advastamedia®/O supports many print and online publishing processes. MAM and PIM systems are often used in isolation. Each topic is very complex. To name a few, there are many challenges in mapping object dependencies, handling large amounts of data, and handling diverse outputs on PIM, as well as handling media assets, variants and maintenance workflows on MAM. There should not be any output boundaries between PIM/MAM - increasing data quality and flexibility require short paths and consistent data. Our integrated advastamedia® solution helps you save time, money, and resources.

Microsoft has worked hard on making.NET and SQL Server a strong combination, and VistaDB brings this capability into a small and easy-to-deploy packaged. VistaDB is a small, managed assembly that you can deploy with your app. Each database is a separate file. Using Xamarin you can fit a complete RDBMS onto your phone. VistaDB is a compliant ADO.NET provider of data with support for Entity Frame, ADO.NET and Typed Datasets, as well as its direct data access API to perform efficient cursor-based operations. VistaDB is compatible with a variety of third-party ORMs and reporting systems thanks to ADO.NET. VistaDB fully supports ADO.NET's provider factory model, allowing you to create a single codebase that targets VistaDB or SQL Server. Imagine all the things that are built on ADO.NET. Not just your application, but also reporting systems, ORMs and other data-driven libraries.