Kwil Alternatives

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. • Gain critical real-time insights to run your business • Seamlessly integrate data streaming and batch data • High performance in throughput and low-latency at petabyte scale • Fully-managed cloud service • Tiered storage to optimize cloud performance & spend • Fully-secure & enterprise-ready

TeamDesk is the leading AI-Powered Low-Code platform for creating powerful and flexible web-based databases with no-coding. AI-Assisted Development streamlines database design, no technical skills required. TechRadar named TeamDesk as the best database platform of the year. TeamDesk provides Artificial Intelligence as well as predefined solutions for rapid online database creation without coding. Business owners and citizen developers can utilize AI to build unique databases for any type of industry that precisely fit their business workflow and organize gathering, sharing and managing business information. TeamDesk online database software is fully scalable and customizable to accommodate customers’ ever evolving business needs, from small companies to large enterprises, from specific manufactures to vertical business integration. TeamDesk provides: AI-Assisted Development API, Web hooks, Zapier unlimited data storage, records and tables Try it risk-frее

SAP HANA Cloud is a fully managed in-memory cloud database as a service (DBaaS). As the cloud-based data foundation for SAP Business Technology Platform, it integrates data from across the enterprise, enabling faster decisions based on live data. Build data solutions with modern architectures and gain business-ready insights in real-time. As the data foundation for SAP Business Technology Platform, the SAP HANA Cloud database offers the power of SAP HANA in the cloud. Scale to your needs, process business data of all types, and perform advanced analytics on live transactions without tuning for fast, improved decision-making. Connect to distributed data with native integration, develop applications and tools across clouds and on-premise, and store volatile data. Tap business-ready information by creating one source of truth and enable security, privacy, and anonymization with enterprise reliability.

Inery is layer-1 blockchain designed to offer the solution of decentralized database management with the vision to enable a new paradigm for data. It lays the foundation for web3 by seamlessly connecting with systems, applications, and layer-1 networks. Inery’s data management system (IneryDB) integrates blockchain functionalities with distributed database management properties. Built on a decentralized infrastructure, IneryDB supports high throughput, low latency, complex query search and owner-controlled data assets. IneryDB allows developers and enterprises to securely store, access, manage and deliver data on a decentralized infrastructure supporting various industries. Inery's layer-1 blockchain facilitates secure data sharing with greater speed and better security. It lays the foundation of the underlying infrastructure to deploy decentralized applications and allow cross-chain interoperability.

AnySQL Maestro is the premier multi-purpose admin tool for database management, control and development. SQL Maestro Group offers complete database management and web development solutions for all the most popular database servers providing the highest performance, scalability and reliability to meet the requirements of today's database applications. Support of any database engine (SQL Server, MySQL, Access, etc.) Database designer, data management, editing, grouping, sorting and filtering abilities. Handy SQL Editor with code folding and multi-threading. Visual query builder, data export/import to/from the most popular formats. Powerful BLOB viewer/editor. The application also provides you with a powerful set of tools to edit and execute SQL scripts, build visual diagrams for numeric data, compose OLAP cubes, and much more. High-quality DB2 tools which are as easy in use as Windows explorer.

HeatWave is a massively parallel, high performance, in-memory query accelerator for Oracle MySQL Database Service that accelerates MySQL performance by orders of magnitude for analytics and mixed workloads. HeatWave is 6.5X faster than Amazon Redshift at half the cost, 7X faster than Snowflake at one-fifth the cost, and 1400X faster than Amazon Aurora at half the cost. MySQL Database Service with HeatWave is the only service that enables customers to run OLTP and OLAP workloads directly from their MySQL database. This eliminates the need for complex, time-consuming, and expensive data movement and integration with a separate analytics database. The new MySQL Autopilot uses advanced machine-learning techniques to automate HeatWave, which make it easier to use and further improves performance and scalability. HeatWave is optimized for Oracle Cloud Infrastructure (OCI).

Objectivity/DB is a massively scalable, high performance, distributed Object Database (ODBMS). It is extremely good at handling complex data, where there are many types of connections between objects and many variants. Objectivity/DB can also serve as a massively scalable, high performance graph database. Its DO query language supports standard data retrieval queries as well as high-performance path-based navigational queries. Objectivity/DB is a distributed database, presenting a Single Logical View of its managed data. Data can be hosted on a single machine or distributed across up to 65,000 machines. Connected items can span machines. Objectivity/DB runs on 32 or 64-bit processors running Windows, Linux, and Mac OS X. APIs include: C++, C#, Java and Python. All platform and language combinations are interoperable. For example, objects stored by a program using C++ on Linux can be read by a C# program on Windows and a Java program on Mac OS X.

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.

SurrealDB offers a dynamic and adaptable platform for business. With an integrated suite of cutting-edge database solutions, tools, and services, SurrealDB empowers your workforce to discover innovative answers using products meticulously crafted to meet their requirements. The query language in SurrealDB looks and works similarly to traditional-SQL, but allows for querying over time-series and connected graph data. SurrealQL is an advanced query language, with programming language functionality, that allows developers or data analysts to work with SurrealDB in the ways they choose. Connect directly to SurrealDB from any end-user client device. Run SurrealQL queries directly within web-browsers, ensuring that users can only view or modify the data that they are allowed to access. Highly-performant WebSocket connections allow for efficient bi-directional queries, responses and notifications.

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.

EMS SQL Management Studio for PostgreSQL is a complete solution for PostgreSQL database administration and development. The single workbench provides you with must-have tools for managing PostgreSQL databases and objects, as well as for database design, migration, extraction, query building, data import and export, database comparison, and running service tasks. Get access to all databases and their objects from a single console and manage them with a user-friendly interface. You can create and modify all server and database objects, set necessary properties, and view detailed info in advanced visual editors. Transfer structure changes from development to production database automatically with Compare databases tool. Create ER diagrams for newly developed databases to quickly deploy them. Create database maintenance tasks with advanced options and let SQL Studio run them on a regular basis.

FairCom DB is ideal for large-scale, mission-critical, core-business applications that require performance, reliability and scalability that cannot be achieved by other databases. FairCom DB delivers predictable high-velocity transactions and massively parallel big data analytics. It empowers developers with NoSQL APIs for processing binary data at machine speed and ANSI SQL for easy queries and analytics over the same binary data. Among the companies that take advantage of the flexibility of FairCom DB is Verizon, who recently chose FairCom DB as an in-memory database for its Verizon Intelligent Network Control Platform Transaction Server Migration. FairCom DB is an advanced database engine that gives you a Continuum of Control to achieve unprecedented performance with the lowest total cost of ownership (TCO). You do not conform to FairCom DB…FairCom DB conforms to you. With FairCom DB, you are not forced to conform your needs to meet the limitations of the database.

PlanetScale is a MySQL-compatible database platform that makes databases near infinitely scalable, easier, and safer to manage. Databases are complex and fragile, making them difficult to manage and easy to break. With cutting edge developer-first features like non-blocking schema changes, built-in horizontal sharding, and real-time analytics you can add power to your database layer without having to hire additional database expertise. Increase developer productivity with database branching, a Git-like feature that allows you to test and deploy schema changes to production with zero downtime. Get a database that enables you to monitor, debug, and even boost queries up to 1000x faster without leaving the product or investing in a separate set of tooling. You’ll never out-scale PlanetScale: Our solution is the only solution built on battle-tested Vitess, a database clustering system for horizontal scaling of MySQL used by GitHub, HubSpot, Slack and more.

RethinkDB pushes JSON to your apps in realtime. When your app polls for data, it becomes slow, unscalable, and cumbersome to maintain. RethinkDB is the open-source, scalable database that makes building realtime apps dramatically easier. Web apps like Google Docs, Trello, and Quora pioneered the realtime experience on the web. With RethinkDB, you can build amazing realtime apps with dramatically less engineering effort. When a player takes an action in a multiplayer game, every other player in the game needs to see the change in realtime. RethinkDB dramatically simplifies the data infrastructure for low latency, high throughput realtime interactions. RethinkDB dramatically reduces the complexity of building realtime trading and optimization engines. Publish realtime updates to thousands of clients, and provide pricing updates to users in milliseconds. Build realtime dashboards with RethinkDB data push notifications, and make instantaneous business decisions.

A Post-Relational Database, like Matisse, represents the best of both worlds: The ability to map objects from .NET directly into the database with the support of a standard query language (SQL) and the same scalable enterprise capabilities as found in relational products. The SQL Standard, which has been constrained for the past 30 years to query and manipulate relational tables, has now been morphed by Matisse Software into a powerful language to operate on a hierarchy of classes. Object development has created the need for a DBMS that provides native object and XML support, and yet offers the benefits that have been delivered by relational database: SQL, scalability and standard compliance. Hurwitz Group believes that for many solutions in many organizations, Matisse will pay off in terms of shorter time-to-market in the near-term due to shorter database design cycles, and lower TCO over the long-term due to lower costs required for database maintenance and performance tuning.

Now that your data is in motion, it’s time to make sense of it. Stream processing enables you to derive instant insights from your data streams, but setting up the infrastructure to support it can be complex. That’s why Confluent developed ksqlDB, the database purpose-built for stream processing applications. Make your data immediately actionable by continuously processing streams of data generated throughout your business. ksqlDB’s intuitive syntax lets you quickly access and augment data in Kafka, enabling development teams to seamlessly create real-time innovative customer experiences and fulfill data-driven operational needs. ksqlDB offers a single solution for collecting streams of data, enriching them, and serving queries on new derived streams and tables. That means less infrastructure to deploy, maintain, scale, and secure. With less moving parts in your data architecture, you can focus on what really matters -- innovation.

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.

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

Greenplum Database® is an advanced, fully featured, open source data warehouse. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes. Greenplum Database® project is released under the Apache 2 license. We want to thank all our current community contributors and are interested in all new potential contributions. For the Greenplum Database community no contribution is too small, we encourage all types of contributions. An open-source massively parallel data platform for analytics, machine learning and AI. Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. Experience the fully featured, integrated, open source analytics platform.

Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. With extensive isolation of individual system components, Milvus is highly resilient and reliable. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large-scale vector data. Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage.

ThreadDB is a multi-party database built on IPFS and Libp2p that provides an alternative architecture for data on the web. ThreadDB aims to help power a new generation of web technologies by combining a novel use of event sourcing, Interplanetary Linked Data (IPLD), and access control to provide a distributed, scalable, and flexible database solution for decentralized applications. There are two implementations of ThreadDB, the first is written in Go. The second implementation is written in JavaScript (Typescript, really). This implementation has some optimizations to make it more ideal when writing web applications. The JavaScript implementation is currently a Client of the Go implementation. You can run it against your own go-threads instance or connect it to the Textile Hub to use one of ours. In general, when building apps that use threads in a remote context, like the browser, it's best to push the networking later to remote services whenever possible.

Imply is a real-time analytics platform built on Apache Druid, designed to handle large-scale, high-performance OLAP (Online Analytical Processing) workloads. It offers real-time data ingestion, fast query performance, and the ability to perform complex analytical queries on massive datasets with low latency. Imply is tailored for organizations that need interactive analytics, real-time dashboards, and data-driven decision-making at scale. It provides a user-friendly interface for data exploration, along with advanced features such as multi-tenancy, fine-grained access controls, and operational insights. With its distributed architecture and scalability, Imply is well-suited for use cases in streaming data analytics, business intelligence, and real-time monitoring across industries.

Amazon SimpleDB is a highly available NoSQL data store that offloads the work of database administration. Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Unbound by the strict requirements of a relational database, Amazon SimpleDB is optimized to provide high availability and flexibility, with little or no administrative burden. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. The service charges you only for the resources actually consumed in storing your data and serving your requests. You can change your data model on the fly, and data is automatically indexed for you. With Amazon SimpleDB, you can focus on application development without worrying about infrastructure provisioning, high availability, software maintenance, schema and index management, or performance tuning.

dbForge Edge is the newest Devart product - the multidatabase software solution covers all database-related jobs, allowing its users to accelerate the tasks' completion, save costs, and improve overall productivity. A set of powerful features applies to all most popular database management systems - MySQL and MariaDB, SQL Server, Oracle, and PostgreSQL. Notice the most helpful features of dbForge Edge: Database design & development. Convert ER diagrams to actual databases or reverse-engineer databases. SQL coding assistance. Visual query building. Query profiling. Database comparison & synchronization. Deploy changes to the target databases on different platforms. Data management. Data import/export. Data analysis and reporting. Database administration.

Invantive's free Query Tool provides you with real-time Operational Intelligence (OI) across your entire enterprise. The free Query Tool provides access to your real-time data warehouse and databases running on MySQL, Oracle, SQL Server, Teradata, IBM DB2/UDB or elsewhere. This enables you to store, organize and locate your operational data fast. The optional repository, provided by Invantive Producer, allows you to transfer, assemble, integrate, store and access data from multiple sources. You will be able to extract and analyze operational data such as project execution, manufacturing, software development and service operations. The Invantive Query Tool empowers you to run SQL and Oracle PL/SQL query programs to gain real-time insight into your business operations. You will be able to execute complex queries to monitor all your operational activities, check them for compliance and business rules, identify threats and make the right decisions.

MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections.

The Heimdall Proxy is a data access layer for application developers, database administrators, and architects. Whether on-premise or cloud, our proxy deliver a faster, more scalable, and secure solution for their current SQL database. We give SQL visibility and performance across multi-vendor databases. Our proxy can be deployed as a transparent sidecar process. Our distributed deployment results in optimal performance and predictive scale. To implement a master writer and read replica architecture, application changes are required. Our proxy routes queries to the appropriate database instance. With replication lag detection, we can guarantee data consistency. Front-side to back-side connections are reduced by up to a 1000:1 ratio. You can limit connections based on per user and per database. This ensure fairness while protecting the database from being overwhelmed (respectively). Additionally, we support authentication and authorization via Active Directory integration.

With high throughput, low latency, powerful query functionality, decentralized control, immutable data storage and built-in asset support, BigchainDB is like a database with blockchain characteristics. BigchainDB allows developers and enterprise to deploy blockchain proof-of-concepts, platforms and applications with a blockchain database, supporting a wide range of industries and use cases. Rather than trying to enhance blockchain technology, BigchainDB starts with a big data distributed database and then adds blockchain characteristics - decentralized control, immutability and the transfer of digital assets. No single point of control. No single point of failure. Decentralized control via a federation of voting nodes makes for a P2P network. Write and run any MongoDB query to search the contents of all stored transactions, assets, metadata and blocks. Powered by MongoDB itself.

GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js.

The Leading High-Performance Distributed SQL Database. Open source, cloud native relational DB for powering global, internet-scale apps. Single-Digit Millisecond Latency Build blazing fast cloud applications by serving queries directly from the DB. Massive Scale. Achieve millions of transactions per second and store multiple TB’s of data per node. Geo-Distribution. Deploy across regions and clouds with synchronous or multi-master replication. Built for Cloud Native Architectures. Develop, deploy and operationalize modern applications faster than ever before with YugabyteDB. Gain Developer Agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate Resilient Services. Ensure continuous availability even when underlying compute, storage or network fails. Scale On-Demand. Add and remove nodes at will. Say no to over-provisioned clusters forever. Lower User Latency.

IBM IMS™ is a hierarchical database management software system for online transaction processing (OLTP) and online batch processing. IMS 15 uses pervasive encryption of data and reduces the cost of generating deep insights by keeping your data on IBM Z. Like IMS 14, IMS 15 comes with superlative performance, reliability, and serviceability. Ease development and extend access to IMS transactions and data with open integration technologies. Gain the performance benefits of IMS Transaction Manager and attractive pricing. Use a high-speed, highly available IMS data server with an alternative, attractive pricing option. Enhance the performance and management of your IMS systems with database and transaction management tools. Gain analyst productivity and improve IMS application performance, resource utilization, and system availability. Use an integrated solution for simultaneous backup and recovery of multiple data sets and Fast Path areas.

Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

dbForge Query Builder for MySQL is a visual tool that allows creating any sort of MySQL queries, from simple lookups to complex JOINs. The tool provides broad compatibility options and helps constructing and editing complex MySQL queries in a few clicks. You don't need to sweat building complex code - just "draw" your query on a diagram. Key Features: * Powerful visual MySQL query builder functionality * MySQL statement generator executes created queries and edits tables data * Combine a few queries to a sub-query via visual MySQL query editor * Manage databases proactively * Easily make JOINs between tables * Discover trends from mountains of data * Cut the time you spend on writing complex queries You can always find the latest version of the product on the official Devart website.

Trino is a query engine that runs at ludicrous speed. Fast-distributed SQL query engine for big data analytics that helps you explore your data universe. Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low-latency analytics. The largest organizations in the world use Trino to query exabyte-scale data lakes and massive data warehouses alike. Supports diverse use cases, ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high-volume apps that perform sub-second queries. Trino is an ANSI SQL-compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset, and many others. You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. Access data from multiple systems within a single query.

The connection between your browser and DbNinja is encrypted, so even if you do not have SSL installed no one will be able to eavesdrop on your communication. DbNinja is an advanced web-based application for MySQL database administration and development. It's a must-have for those who wish to access their hosted servers remotely. DbNinja supports all the latest features including triggers, events, views, stored routines, and foreign keys; in addition, it allows to import and backup data and MySQL object structures, manage users, and much more. DbNinja has a highly functional and elegant user interface and can be used securely in any modern browser on any OS. No registration or payment information is needed, and no strings are attached. Paid premium features such as scheduled backups and server monitoring will soon become available. DbNinja is the most complete solution for novice and professional MySQL developers. It is also supported by most shared hosting providers.

AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph visualization software tool for exploring and discovering connections within enterprise Knowledge Graphs. Franz’s Knowledge Graph Solution includes both technology and services for building industrial strength Entity-Event Knowledge Graphs based on best-of-class tools, products, knowledge, skills and experience.

*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle).

NCache is an open source distributed cache for .NET Framework & .NET Core (released under Apache License, Version 2.0), by Alachisoft. NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips. Organizations use NCache to remove performance bottlenecks related to their data storage and databases and can scale their .NET and Java applications to extreme transaction processing (XTP). NCache Open Source gives the .NET developer community unrestricted access to the industry’s oldest and most popular distributed cache. Due to its Open Source nature .NET developers finally have complete access to a truly elastic .NET distributed cache that fits in nicely with their application’s .NET stack. Alachisoft is the market leader since 2003 through its product NCache. Founded in 1996 as a software development services company, Alachisoft transitioned to a product company in 2003

dbForge Studio for PostgreSQL is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to your requirements in a convenient and user-friendly interface. The tool provides a data editing tool to customize your queries and property window so that users can view all the required information of PostgreSQL database objects they are interested in. Key features: *SQL Development. Save your time and improve code quality when creating and editing queries. *Explorer. Navigate through the object tree and find any PostgreSQL object you want. *Data Editor. Users can manage the settings of tables. *Data Export and Data Import. Supports 10+ widely used data formats, a number of advanced options, and templates for recurring scenarios. *Query Profiler. *Data and Schema Compare. *Data Generator. *Pivot Table.

Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs).

dbForge Studio for SQL Server is a comprehensive platform with an intuitive graphical user interface and robust functionality that enables users to handle a variety of database-related tasks both on-premises and in the cloud. Key Features: T-SQL editor with intelligent code completion, debugging, formatting, and more Database schema and data comparison and synchronization Source Control with support for all popular version control systems Visual database designer with ER diagrams. Visual Query Builder for constructing complex T-SQL queries Data import and export Data generator of high-quality test data Real-time database monitoring Query Profiler with analysis and optimization Data analysis, visualization, and reporting Automatic database documenting Task automation via the Command line dbForge Studio for SQL Server is a powerful alternative to SSMS. It offers the features of the default SQL Server IDE along with many additional tools and options.

Entity Framework (EF) Core is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. Enables .NET developers to work with a database using .NET objects. Eliminates the need for most of the data-access code that typically needs to be written. With EF Core, data access is performed using a model. A model is made up of entity classes and a context object that represents a session with the database. The context object allows querying and saving data. Generate a model from an existing database. Hand code a model to match the database. Once a model is created, use EF migrations to create a database from the model. Migrations allow evolving the database as the model changes. Instances of your entity classes are retrieved from the database using Language Integrated Query (LINQ). Data is created, deleted, and modified in the database using instances of your entity classes.

Materialize is a reactive database that delivers incremental view updates. We help developers easily build with streaming data using standard SQL. Materialize can connect to many different external sources of data without pre-processing. Connect directly to streaming sources like Kafka, Postgres databases, CDC, or historical sources of data like files or S3. Materialize allows you to query, join, and transform data sources in standard SQL - and presents the results as incrementally-updated Materialized views. Queries are maintained and continually updated as new data streams in. With incrementally-updated views, developers can easily build data visualizations or real-time applications. Building with streaming data can be as simple as writing a few lines of SQL.

MAISY Commercial and Residential Utility Customer Energy Use and Hourly Loads Databases were introduced in 1995, including information on 10,000 utility customers throughout the US. Databases have been vastly updated and extended each year to provide 2020 MAISY Databases that now include current energy use and hourly load profile data on more than 7 million US individual commercial and residential utility customers. Databases include information on building, equipment, operation, occupant, and energy use for each utility customer record. MAISY Commercial and residential hourly load profile databases have been developed from dozens of data sources including utility, association, government and Jackson Associates proprietary utility customer surveys and detailed appliance engineering analysis. Databases reflect a statistically valid sample of residential and commercial utility customers throughout the US.

The Unified Analytics Warehouse. Highest performing analytics and machine learning at extreme scale. As the criteria for data warehousing continues to evolve, tech research analysts are seeing new leaders in the drive for game-changing big data analytics. Vertica powers data-driven enterprises so they can get the most out of their analytics initiatives with advanced time-series and geospatial analytics, in-database machine learning, data lake integration, user-defined extensions, cloud-optimized architecture, and more. Our Under the Hood webcast series lets you to dive deep into Vertica features – delivered by Vertica engineers and technical experts – to find out what makes it the fastest and most scalable advanced analytical database on the market. From ride sharing apps and smart agriculture to predictive maintenance and customer analytics, Vertica supports the world’s leading data-driven disruptors in their pursuit of industry and business transformation.

Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless.

Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.

PolarDB-X has been tried and tested in Tmall Double 11 shopping festivals, and has helped customers in industries such as finance, logistics, energy, e-commerce, and public service to address business challenges. Linearly increases storage space to provide petabyte-scale storage, making storage bottlenecks of standalone databases a thing of the past. Provides the massively parallel processing (MPP) capabilities to significantly improve the efficiency of complex analysis and queries on vast amounts of data. Provides extensive algorithms to distribute data across multiple storage nodes, effectively reducing the volume of data stored in a single table.