Open Source Mac Database Software - Page 25
Sort By:
Database Software for Mac
View 98 business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
-
2
Redland is a set of object-based, modular and portable C RDF libraries providing RDF APIs for the graph, triple storage (librdf), RDF/XML parsing and serializing (Raptor), SPARQL RDF querying (Rasqal). Language APIs in Perl, PHP, Python, Ruby and others.
-
3
MEDILIG - Medical Life-Guard
EHR/EMR cross-platform electronic medical record application
EHR/EMR cross-platform software for the design, implementation and use of autonomous, open, database models for multilingual medical knowledge management systems from primary care to continuing care. -
4
DB3 Network
DB3 is an open-source decentralized firebase firestore alternative.
DB3 Network is an open-source and decentralized firebase firestore alternative for building fully decentralized dApps quickly with minimal engineering effort. -
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
5
WARFARE is a lightweight, extensible Web Application Framework to enable Construction and maintenace of web based applications without writing any Java code. A Web based interface allows for real time maintenance and tweaks to the system.
-
6
AloeDB
Light, Embeddable, NoSQL database for Deno
AloeDB is a lightweight, file-based NoSQL database designed for JavaScript and Node.js applications. It provides an easy-to-use API for storing and retrieving JSON-based documents without requiring an external database server. -
7
Apache Cassandra
Open source transactional distributed database
Apache Cassandra is an open-source distributed database built for highly scalable, fault-tolerant data workloads. It stores information in partitioned tables organized by rows, columns, and required primary keys. Data is distributed across multiple machines transparently, and the cluster automatically repartitions when nodes are added or removed. Cassandra Query Language offers an SQL-like interface for defining schemas and performing reads and writes. Its decentralized architecture supports continued availability without relying on a single coordinating server. The system scales horizontally across commodity hardware or cloud infrastructure while maintaining predictable performance. It is suited to applications that need large data volumes, geographic distribution, and resilient operation. -
8
Apache Druid
A high performance real-time analytics database
Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired. Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly outperform legacy solutions. Druid combines novel storage ideas, indexing structures, and both exact and approximate queries to return most results in under a second. Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data. -
9
Apache Pegasus
A consistent and high-performance key-value store
A distributed key-value store optimized for low-latency and high-throughput applications, developed by Apache Incubator. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
10
Apache Phoenix
Mirror of Apache Phoenix
Apache Phoenix is a SQL skin over HBase delivered as a client-embedded JDBC driver targeting low latency queries over HBase data. Apache Phoenix enables OLTP and operational analytics in Hadoop for low latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds. -
11
Apache PredictionIO
Machine learning server for developers and ML engineers
Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; support machine learning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machine learning models and seamlessly incorporate them into your engine; simplify data infrastructure management. -
12
Arctic TimeSeries and Tick store
High performance datastore for time series and tick data
Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. [VersionStore only] Does the chunking (breaking a Dataframe to smaller part for you. Has different types of Stores, each with it's own benefits. Eg. Versionstore allows you to version and snapshot stuff, TickStore is for storage and highly efficient retrieval of streaming data, ChunkStore allows you to chunk and efficiently retrieve ranges of chunks. -
13
Autobase
Automated database platform for PostgreSQL
autobase is an automated, lightweight PostgreSQL replication setup tool for streaming replication using repmgr. It simplifies the configuration and management of PostgreSQL high availability clusters by handling role switching, connection settings, and initial replication setup with minimal manual effort. It's particularly useful for small to medium-sized teams looking to deploy resilient database clusters quickly. -
14
AvionDB
A decentralised database with MongoDB-like developer interface
AvionDB uses OrbitDB stores to model MongoDB-like Databases. AvionDB is alpha-stage software. It means AvionDB hasn't been security audited and programming APIs and data formats can still change. We encourage you to reach out to the maintainers if you plan to use AvionDB in mission-critical systems. This is the TypeScript implementation and it works with Browsers, Node.js & TypeScript with support for Linux, OS X, and Windows. The minimum required version of Node.js is now 8.6.0 due to the usage of ... spread syntax. LTS versions (even numbered versions 8, 10, etc) are preferred. -
15
BaikalDB
BaikalDB, A Distributed HTAP Database
BaikalDB is a distributed enhanced structured database system. It supports sequential and randomized real-time read/write of structural data in a petabytes-scale. BaikalDB is compatible with MySQL protocol and it supports MySQL-style SQL dialect, by which users can migrate their data storage from MySQL to BaikalDB seamlessly. BaikalDB internally provides projections, filter operators (corresponding with SQL WHERE or HAVING clause), aggregation operators (corresponding with GROPY BY clause) and sort operators (corresponding with SQL ORDER BY), with which users can fulfill their complex and time-critical analytical and transactional requirement by writing SQL statements. In a typical scenario, hundreds of millions of rows can be scanned and aggregated in few seconds. BaikalDB also supports full-text search by building inverted indices after word segmentation. Users can harness the fuzzy search features simply by adding a FULLTEXT KEY type index when creating tables. -
16
BoltHold
BoltHold is an embeddable NoSQL store for Go types built on BoltDB
Bolthold is a simple, embedded key/value store for Go, built on top of BoltDB, offering query and indexing capabilities. -
17
BuntDB
Database for Go with custom indexing and geospatial support
BuntDB is an embeddable, in-memory key/value database written in Go, with optional persistence to disk. It is built for scenarios where you want a lightweight, fast store (reads and writes in memory) but also durability (via append-only file format) and transactional semantics (ACID with single-writer, multiple-reader locking). Among its distinguishing features are support for custom indexing (even within JSON values), spatial (geospatial) indexes with support up to 20 dimensions, flexible iteration over keys (ascending, descending, ranges), TTL/expiry eviction, and embeddability. Because it keeps its data in memory (with persistent backing), it's well suited for caching, session stores, small-scale databases inside Go applications, or applications that prefer simplicity and speed over massive scale. The API is simple, and the library is easy to embed into Go apps. -
18
Cloudberry
One advanced and mature open-source MPP
Apache Cloudberry is a distributed real-time analytics engine designed for querying massive social media datasets. It integrates with Apache AsterixDB and supports efficient ad-hoc queries and aggregations across large volumes of data. Cloudberry is especially useful for dashboards, trend analysis, and time-series social data exploration. -
19
CloverDB
A lightweight document-oriented NoSQL database written in pure Golang
CloverDB is a lightweight NoSQL database designed to be simple and easily maintainable, thanks to its small code base. It has been inspired by tinyDB. CloverDB has been written for being easily maintainable. As such, it trades performance with simplicity and is not intended to be an alternative to more performant databases such as MongoDB or MySQL. However, there are projects where running a separate database server may result overkilled, and, for simple queries, network delay may be the major performance bottleneck. For such scenarios, CloverDB may be a more suitable alternative. Previously, CloverDB relied on the Badger key-value store as a storage layer. However, Badger is not suitable for every scenario (for example, when the database size is a constraint). This is why, the storage layer of CloverDB has been abstracted through a set of interface types to work with any key-value store. At the moment, CloverDB can work with both Badger and Bolt (by default Bolt is used). -
20
CouchDB.NET
EF Core-like CouchDB experience for .NET
CouchDB-Net is a .NET client library for Apache CouchDB, providing developers with a simple way to interact with the database using C#. It enables document storage, querying, and replication in .NET applications. -
21
CrossUI
CrossUI is a free Cross-Browser Javascript framework
Build fully interactive experiences codeless and serverless. Create code into Github repository directly. CrossUI No-Code App Builder enables anyone (no software developer required) to Create Interactive Apps Without Coding. Prototype, develop and package the exactly same code into Web Apps, Native Desktop (Windows, Linux and Mac) Apps, as well as Mobile Apps. Rich client-side API, works with any backend or static HTML pages. Web services (JSON/XML/SOAP) can be directly bound. More than 100 components, including Tabs, Dialog, TreeGrid, SVG Shapes, Chart and many other web GUI components. Support reusable modules. Wide cross-browser compatibility, IE6+, firefox3+, opera9+, safari3+ and Google Chrome. Full API Documentation with tons of samples. Ever Increasing Code Snippets. PHP/C #/JAVA Back-end service codes are available. CrossUI Framework is Open Source under LGPL3 license. -
22
CursusDB
CursusDB is an open-source distributed in-memory database
CursusDB is a time-series database built for high-performance analytics and data processing, optimized for handling large volumes of sequential data efficiently. -
23
Database Backup Manager
Database backup manager for dumping to and restoring databases from S3
This package provides a framework-agnostic database backup manager for dumping to and restoring databases from S3, Dropbox, FTP, SFTP, and Rackspace Cloud. Backup the development database to Amazon S3. The S3 backup path will be test/backup.sql.gz in the end, when gzip is done with it. Once installed, the package must be bootstrapped (initial configuration) before it can be used. We recommend using the vagrant configuration supplied with this package for development and contribution. Simply install VirtualBox, Vagrant, and Ansible then run vagrant up in the root folder. A virtual machine specifically designed for the development of the package will be built and launched for you. Backup to / restore from any configured filesystem. Configure your filesystems. Configure your databases. -
24
Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure. The engine stores a single, full-size copy of production data on the specialized ZFS filesystem. Using the copy-on-write capabilities of ZFS, the DLE is able to generate full-size replicas of the production database in seconds. These writable "thin clones" will behave identically to production: they will have the same data and generate the same query plans. Instances of the Database Lab Engine (DLE) and all thin clones reside completely within your own infrastructure at all times. -
25
Datatables.AspNet
Microsoft AspNet bindings and automatic parsing for jQuery DataTables
Formerly known as DataTables.Mvc, this project started with small objectives around 2014, aiming to provide intermediate and experienced developers a tool to avoid the boring process of handling DataTables parameters. More than a year later after a full rewrite, we are now proud to support Asp.net MVC, WebApi, and Asp.Net Core (full .NET Core support). Unit-testing is a priority to avoid breaking your app and every stable release should provide better and wider test cases. Datatables.AspNet is a server-side integration library for using DataTables with ASP.NET, enabling efficient handling of large data sets in web applications.
