Search Results for "query"
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Showing 438 open source projects for "query"
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Ebean
Ebean ORM
...Use great SQL, never generate SQL cartesian product, always honor relational limit/offset. For ORM queries Ebean can profile the object graph being used and either automatically tune the query. Docker test containers for all the supported databases. Get 100% test coverage on all the features of the database we use. We can build queries using type safe query beans. IDE auto-complete when writing queries, compile time checking and it's FUN. Optimize queries to only fetch what we need (partial objects). Automatically avoid N+1 via a smart load context. -
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XTDB
General-purpose bitemporal database for SQL, Datalog & graph queries
...XTDB contains a perfect, immutable record of every fact your system has ever known. See the entire history of your business, everywhere. Immutable records are incomplete without time-traveling queries. XTDB allows you to query the entire timeline. Make retroactive corrections, simplify data migrations, and get clarity on out-of-order events. It is the interconnection of facts that makes them valuable. Query the relational model with SQL and the graph model with Datalog, over the same data. Explore all your data. Across all implicit relationships, across all time. ... -
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JSLT
JSON query and transformation language
JSLT is a complete query and transformation language for JSON. The language design is inspired by jq, XPath, and XQuery. -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. -
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.
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Apache Cassandra
Open source transactional distributed database
...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. -
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Joern
Open-source code analysis platform for C/C++/Java/Binary/Javascript
...It generates code property graphs (CPGs), a graph representation of code for cross-language code analysis. Code property graphs are stored in a custom graph database. This allows code to be mined using search queries formulated in a Scala-based domain-specific query language. Joern is developed with the goal of providing a useful tool for vulnerability discovery and research in static program analysis. -
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HugeGraph
A graph database that supports more than 100+ billion data
HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. ... -
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Nitrite Database
NoSQL embedded document store for Java
Nitrite is an embedded NoSQL database for Java applications, offering lightweight document storage with indexing and query capabilities. -
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MyBatis-Plus
An powerful enhanced toolkit of MyBatis for simplify development
MyBatis-Plus is an enhanced toolkit for MyBatis, designed to simplify development and increase productivity. It provides a range of out-of-the-box features such as code generation, conditional query builders, and pagination plugins, reducing boilerplate code and streamlining database operations. MyBatis-Plus is widely used in enterprise applications for its efficiency and ease of use. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Spring Data JPA
Simplifies the development of creating a JPA-based data access layer
...As a developer, you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically. Pagination support, dynamic query execution, ability to integrate custom data access code. -
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ArangoDB Java Driver
The official ArangoDB Java driver
ArangoDB Java Driver is the official Java client for interacting with ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph storage. This driver provides a high-level API for managing databases, executing AQL queries, and handling transactions efficiently. -
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Eclipse JNoSQL
Eclipse JNoSQL is a framework
Eclipse JNoSQL is a framework designed for Java developers to interact with NoSQL databases in a standardized way. It provides a unified API and supports various NoSQL database types, including document, key-value, column-family, and graph databases. JNoSQL integrates with Jakarta EE and MicroProfile, making it suitable for enterprise applications. -
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OrientDB
DBMS supporting graph, document, full-text and geospatial models
...Supports schema-less, schema-full and schema-mixed modes. Has a strong security profiling system based on user, roles and predicate security and supports SQL amongst the query languages. Thanks to the SQL layer it's straightforward to use for people skilled in the Relational world. OrientDB adheres to the NoSQL movement even though it supports ACID Transactions and SQL as query language. In this way it's easy to start using it without having to learn too much new stuff. -
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Micronaut Data
Ahead of Time Data Repositories
...Both GORM and Spring Data use regular expressions and pattern matching in combination with runtime generated proxies to translate a method definition on a Java interface into a query at runtime. No such runtime translation exists in Micronaut Data and this work is carried out by the Micronaut compiler at compilation time. -
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JADX-AI-MCP
Plugin for JADX to integrate MCP server
...Through this integration, AI systems can inspect classes, analyze methods, retrieve application manifests, and examine other elements of Android packages in real time. The plugin works alongside a companion MCP server that exposes reverse engineering tools to AI clients so they can query and analyze code programmatically. This allows developers and security researchers to perform contextual code reviews and vulnerability analysis using AI-assisted workflows. -
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GraphQL Java
GraphQL Java implementation
GraphQL Java implementation. It requires a little Spring and Java knowledge. GraphQL is a query language to retrieve data from a server. It is an alternative to REST, SOAP or gRPC. One very important property of GraphQL is that it is statically typed: the server knows exactly the shape of every object you can query and any client can actually "introspect" the server and ask for the "schema". The schema describes what queries are possible and what fields you can get back. ... -
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Zipkin
Distributed tracing system to gather timing data
...It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. The Zipkin UI also presents a Dependency diagram showing how many traced requests went through each application. This can be helpful for identifying aggregate behavior including error paths or calls to deprecated services. ... -
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Apache Phoenix
Mirror of Apache Phoenix
...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. -
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Brokk
Brokk brings code intelligence to AI
Brokk is a code intelligence assistant framework designed to let large language models (LLMs) understand code semantically (not just as raw text) so that they can work effectively on large codebases that don’t fit wholly in a prompt context. It helps bridge the gap between LLMs and real-world engineering code by offering tooling to index, analyze, query, and augment code context, so that AI can meaningfully reason about existing code, suggest edits, and navigate across projects. Modular build tasks (run, test, build, shadowJar, tidy, etc.) to support development workflows. Integration of front-end + back-end layers (web UI + CLI + internal services). -
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Spring Data REST
Simplifies building hypermedia-driven REST web services
...Exposes collection, item and association resources representing your model. Supports pagination via navigational links. Allows to dynamically filter collection resources. Exposes dedicated search resources for query methods defined in your repositories. Allows to hook into the handling of REST requests by handling Spring ApplicationEvents. Exposes metadata about the model discovered as ALPS and JSON Schema. Allows to define client specific representations through projections. Ships a customized variant of the HAL Explorer to leverage the exposed metadata. -
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TypeDB
TypeDB: a strongly-typed database
TypeDB is a strongly-typed database with a rich and logical type system. TypeDB empowers you to tackle complex problems, and TypeQL is its query language.TypeDB is a database with a rich and logical type system. TypeDB empowers you to solve complex problems, using TypeQL as its query language. TypeDB provides a strong type system for developers to break down complex problems into meaningful and logical systems. Through TypeQL, TypeDB provides powerful abstractions over low-level and complex data patterns. ... -
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React Native Contracts
React Native Contacts
A React Native library for accessing and managing contacts on iOS and Android devices, enabling apps to retrieve and manipulate contact data. -
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Morphia
MongoDB object-document mapper in Java
MongoDB Object Document Mapping for the JVM. Bidirectional mapping to and from the database. Transparently map your Java entities to MongoDB documents and back. -
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Datahike
A durable Datalog implementation adaptable for distribution
Datahike is a durable Datalog database powered by an efficient Datalog query engine. This project started as a port of DataScript to the hitchhiker-tree. All DataScript tests are passing, but we are still working on the internals. Having said this we consider Datahike usable for medium sized projects, since DataScript is very mature and deployed in many applications and the hitchhiker-tree implementation is heavily tested through generative testing. -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
...Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.
