Best Database Software for Startups - Page 14

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.

NocoDB is an open-source platform that turns any database into a smart spreadsheet. Create unlimited grid view, gallery view, form view from your own data. Search, sort, filter columns and rows with ultra ease. Share views publicly and also with password protection. Turn software consumers into software producers within each organization.

PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a query from the underlying format of the data or the data store that is being accessed. It enables users to interact with data with or without regular schema. PartiQL syntax, semantics, the embeddable reference interpreter, CLI, test framework, and tests are licensed under the Apache License, version 2.0, allowing you to freely use, copy, and distribute your changes under the terms of your choice.

Easily deploy a high availability solution for disaster recovery and failover between and within cloud regions and zero downtime for maintenance. Improve performance and availability with multiple master databases spread across different locations. Keep local data local and control which tables are globally replicated, and which stay local. Support higher throughput when workloads threaten to exceed available compute capacity. For organizations that need or prefer to self-host and self-manage their databases, pgEdge Platform runs on-premises or in self-managed cloud provider accounts. Runs on numerous OS and hardware combinations, and enterprise-class support is available. Self-hosted Edge Platform nodes can also be part of a pgEdge Cloud Postgres cluster.

Undb is delighted to meet you all. We hope you can try it out and provide valuable feedback and suggestions. Undb is currently in the early stages of open source development and is not recommended for production use. Please note that once the demo website is redeployed, the previous table data will be cleared. The Undb open-source spreadsheet platform provides a visual drag-and-drop interface and configurable operations, allowing anyone to quickly build their business systems, process various data, and optimize business logic. Undb can render tens of thousands of data in just a few seconds. Undb is private first, you can deploy your instance of undb and handle your data locally. Using SQLite and local object storage by default requires only one file to persist your data. Many built-in field types and configurable.

ParadeDB brings column-oriented storage and vectorized query execution to Postgres tables. Users can choose between row and column-oriented storage at table creation time. Column-oriented tables are stored as Parquet files and are managed by Delta Lake. Search by keyword with BM25 scoring, configurable tokenizers, and multi-language support. Search by semantic meaning with support for sparse and dense vectors. Surface results with higher accuracy by combining the strengths of full text and similarity search. ParadeDB is ACID-compliant with concurrency controls across all transactions. ParadeDB integrates with the Postgres ecosystem, including clients, extensions, and libraries.

Serverless computing is ideal for systems with unpredictable loads. Storage scaling, query execution, and backup layers are fully automated. The compatibility of the service API in serverless mode allows you to use the AWS SDKs for Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is hosted in three availability zones, ensuring availability even if a node or availability zone goes offline. If equipment or a data center fails, the system automatically recovers and continues working. YDB is tailored to meet high-performance requirements and can process hundreds of thousands of transactions per second with low latency. The system was designed to handle hundreds of petabytes of data.

You can deploy a ready-to-use cluster in just a few minutes. DB settings are initially optimized for the cluster size you selected. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Redis stores data in key-value format, supported values include strings, arrays, dictionaries, sets, bitmasks, and other types. Redis runs in RAM and is therefore suitable for tasks that require a quick response or involve performing a large number of operations on a relatively small amount of data. Backups of database contents are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. Set a time limit for Yandex Managed Service for Redis to automatically delete data and optimize your data storage costs.

Get access to new MongoDB features and official releases that are 100% compatible with the platform. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Invest your time in your project, and we’ll take care of database maintenance: software backups, monitoring, fault tolerance, and updates. You can enable sharding for clusters that have MongoDB version 4.0 or higher. You can also add and configure individual shards to improve cluster performance. All DBMS connections are encrypted using the TLS protocol, and DB backups are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. MongoDB has no regular tables and stores data as collections of JSON-like documents. This is great for projects where data structures may change during development.

Focus on developing data stream processing applications and don’t waste time maintaining the infrastructure. Managed Service for Apache Kafka is responsible for managing Zookeeper brokers and clusters, configuring clusters, and updating their versions. Distribute your cluster brokers across different availability zones and set the replication factor to ensure the desired level of fault tolerance. The service analyzes the metrics and status of the cluster and automatically replaces it if one of the nodes fails. For each topic, you can set the replication factor, log cleanup policy, compression type, and maximum number of messages to make better use of computing, network, and disk resources. You can add brokers to your cluster with just a click of a button to improve its performance, or change the class of high-availability hosts without stopping them or losing any data.

Analyze the performance of Greenplum DBMS using monitoring and query management tools in the command center, where you can also view and download query and session histories. Hybrid Storage in Yandex Managed Service for Greenplum® is natively integrated with Object Storage, allowing you to organize hybrid storage with automatic data transfers to cold storage. You can deploy a ready-to-use cluster in just a few minutes. DB settings are optimized for the selected cluster size and you can change them if necessary. Thanks to its integration with the DataLens BI system, build reports, charts, and dashboards, directly from the service, based on data stored in Greenplum. All DBMS connections are encrypted using the TLS protocol. Our infrastructure meets local regulatory, GDPR, industry-specific ISO standards, and PCI DSS security requirements.

One central software to connect the most complex production environments with your IT systems. Large-scale configuration allows rapid and streamlined rollouts. With automated scalings, you digitize and standardize the connectivity layer for multiple production sites. With direct access to real-time industrial data from IT and OT sources, your team implements use cases quickly, independently, and cost-effectively. Set the foundational data infrastructure, and rely on holistic and highly available industrial connectivity. Integrate all systems and applications seamlessly. Integrate shop floor assets quickly and effortlessly to deliver real-time data insights. Drive business by rapidly executing initiatives that require production data.

In order to deal with sparse data, the Raijin Database uses a flat JSON representation for the data records. The Raijin Database supports SQL as its primary query language while lifting some of SQL's limitations. Data compression not only saves disk space but provides a performance boost with modern CPUs. Most NoSQL solutions are inefficient at or totally lack support for analytical queries. Raijin DB supports group by and aggregations using standard SQL syntax. Vectorized execution and cache-friendly algorithms allow large amounts of data to be operated on. Backed by optimized SIMD instructions (SSE2/AVX2) and a modern compressed hybrid columnar storage layer it ensures that your CPUs are not wasting cycles. This gives unparalleled data-crunching capabilities an order of magnitude faster compared to other solutions written in higher level or even interpreted languages which are inefficient at processing large amounts of data.

Webteacher's Webdata is a web database software program which can be easily installed and administrated without requiring any programming skills. All versions of Webdata are rich with features such as image uploading, member passwords, and templates for 100% customizable layouts. Webteacher Software has two types of databases, Webdata Classic and Webdata Pro. Self-installs on any webserver with Perl. A fast, easy way to put a flat-file database on the web.Powerful options to match the look and feel of your web site. Supports members, image/file uploading, and templates.Integrated Shopping Cart available.$199.00 - free 30 day trial. Easy to install. Requires MySQL and the related Perl modules. Simplified relational databasing. GUI options make table joins easy.Fast and robust on very large databases. Member features: detailed contact info, customizable profile fields, specific table-by-table privileges, and group capabilities.

You’re responding to an RFP with a tight deadline and you’re having trouble finding the documents you need to pull your proposal together. Perhaps you’re an attorney preparing a case and finding the reference documents is a challenge. Or, you spend all day searching your database, but if you make a data entry error, your software can’t find the record you’re looking for. Finding the exact document or record you need can be a time-consuming proposition! Vizier™ Finder is an intelligent tool that – in one interface – allows users to find documents on the desktop and network and records in your databases in seconds. Our fuzzy search capability is so accurate, even if you juxtapose letters or omit a number from a zip code, Vizier™ still produces exact results, saving time and resources.

With FLEXlists you can create simple databases of anything you want, with every field you need. Create lists of tasks, addresses, To do's, songs, books, movies, wishes and more! And what about a glossary, a project plan or bug tracking? It's all possible and easy! You can share the list with others, invite them to edit the list or just keep it for yourself. Lists can be monitored using RSS, imported and exported from and to CSV files (compatible with Excel) and integrated in your website/weblog. Everybody probably has had his share of problems with managing projects executed by a remote development team. A key factor is good communication. Offcourse you can write long detailed reports with the exact specifications and then hope for the best. You can use expensive collaboration tools nobody actually uses or you can keep things simple.

This is an advanced DBF data management solution for all database users. It is packed with features normally found only in top-end software. The built-in dbf editor of DBF Manager offers safe and secure access to the internals of the dBase dbf file format. It is crammed full of highly sophisticated features including comprehensive support for data structure modification. The sophisticated data editing, data conversion and search-replace features are all carefully tailored to suit each data type of interest. DBF Manager has a comprehensive set of database index-related tools. For example, the easy-to-use index manager will perform on-the-fly re-indexing and index rebuilds from an open dbf file as well as allowing a wide variety of index file types to be opened, modified, and viewed. A print dbf structure feature is included in the extensive index file manager feature set.

Empress Embedded Database engine is the heartbeat of EMPRESS RDBMS, a relational database management system specializing in embedded database technology – from car navigation systems to mission critical military command and control, from Internet routers to complex medical systems, EMPRESS beats steadily, 24/7 at the core of embedded systems applications everywhere. Empress kernel level mr API is a unique feature of Empress that gives users access to the Embedded Database kernel libraries. This Empress API provides the fastest means of accessing Empress databases. MR Routines give the developer maximum control over time and space in developing real-time embedded database applications. Empress ODBC and JDBC APIs applications to access Empress databases in both standalone and client/server mode. Empress ODBC and JDBC APIs enable many 3rd party ODBC and JDBC capable software packages to access a local Empress database or via Empress Connectivity Server.

Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets.

With the software offered by our team of Oracle professionals in one of the largest marketplaces in the world. Quickly identify and resolve performance issues on your Oracle stack with real-time diagnostics. Explore in-depth the statistics of your bases, instances and more. Monitor multiple databases on one screen. Available on Windows, Mac OS X and Linux in stand-alone or RAC mode. The SETRA Management Console helps you to manage and anticipate the evolution of your heterogeneous database. In just one page, you can get an overview of all the instances and go deeper into the details of each one. It is a multifunction tool that is presented to you by SETRA Conseil. The SETRA Box is an exclusive, modular and efficient solution for supervision designed by our teams. Integrate all your systems and equipment to get an accurate and faithful view of your entire infrastructure.

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.

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).

Analyze disk space usage by displaying the number of databases with their data and index sizes to see which MySQL and MariaDB servers take up the most space. View snapshots and charts of disk space occupied by databases on servers and tables in databases to quickly spot the largest databases and tables. Easily understand the complete security, availability, health, and performance of all MySQL and MariaDB servers in a single, modern, and intuitive web console. Access hundreds of monitors that examine the configuration and security of servers automatically. Identify and alert on security vulnerabilities and tuning opportunities via expert advice. Set up users who have limited access to specified servers and settings. Specify the type of user, role, and allowed and disallowed actions, tags, and tabs. Manage user access to prevent accidental actions, executing non-reversible operations, and changing server settings without administrator knowledge.

Webair provides Database-as-a-Service (DBaaS), a reliable and secure database management solution that gives your business simple, efficient and always available access to its mission-critical data. Our team has proven experience in managing the implementation, configuration, administration and optimization of database clusters, including business-critical, load-balanced and replicated MySQL clusters, including MariaDB, Galera and NoSQL. Webair’s Database Administrators are experts in helping you create a high-performance database environment. We work with you to design the best solution, matching the finest infrastructure to the right database configuration to meet your unique requirements. Free your business from routine database tasks such as performance monitoring, configuration, memory, storage and log file management, sizing, service pack upgrades and service patches. Focus on more important business aspects, including managing the critical data within your database.

SQL Server Management Studio (SSMS) is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. SSMS provides tools to configure, monitor, and administer instances of SQL Server and databases. Use SSMS to deploy, monitor, and upgrade the data-tier components used by your applications, and build queries and scripts. Use SSMS to query, design, and manage your databases and data warehouses, wherever they are - on your local computer, or in the cloud.

A single, giant, secure Postgres database. Public and private data. Add data in seconds. Query across all the data. Share with one click. Click Upload, or simply drag your dataset onto bit.io to upload tables for your repos. Add friends, create teams, or share a link to your repo with specific access levels. Hopping around the site and see some data you like? Query it, whenever, wherever. If the repo is public, you can query the data in a snap. Here’s a few examples of the various ways to use data in bit.io. Secure by default, Stop accidentally leaving your database open to the internet with a default password, or no password at all. With bit.io, your data is secure in motion (with TLS/SSL) and at rest (encrypted on the disk). Revoke access with the click of a button rather than an arcane SQL statement. Check out our sample repo! feel free to play around and create your own repo using our data.

EraDB is a database architecture built on the core principles of decoupled storage and compute, true zero-schema data storage, and flexible indexing powered by machine learning, all of which allow you to significantly reduce the size, cost, and complexity of your data while still giving you lightning-fast queries across vast datasets. We automatically index on every dimension, so you never have to decide today what you want to query tomorrow EraDB is schemaless by design, so we can store your data regardless of whether it’s consistently-structured. Built for flexibility, EraDB supports pluggable front- and back-end systems. Technologically-limited storage engines cannot efficiently handle complex data, so they crash or slow to a crawl.

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.

Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.

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