18 Repos
Capabilities for adding new records to database tables.
Distinguishing note: No existing candidates for insert operations.
Explore 18 awesome GitHub repositories matching data & databases · Insert Operations. Refine with filters or upvote what's useful.
Drizzle ORM is a TypeScript-native database toolkit providing type-safe SQL query building, schema management, and automated migrations across PostgreSQL, MySQL, SQLite, and SingleStore.
Supports type-safe insertion of new records into database tables.
This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha
Transfers large volumes of data using a specialized protocol mode to minimize network latency and maximize throughput.
Dapper is a lightweight object-relational mapper for .NET that functions as a high-performance data access library. It operates by extending standard database connection interfaces, allowing developers to execute raw SQL queries while automating the mapping of database results to strongly-typed objects. The library distinguishes itself through its use of runtime code generation, which creates high-performance instructions to map database rows to object properties with minimal overhead. It provides flexible data retrieval options, supporting both memory-buffered loading for speed and row-by-ro
Adds large collections of objects to database tables in a single operation.
Apache DataFusion is an extensible, columnar SQL query engine that runs embedded within a host application without requiring a separate server process. It processes data in columnar batches using Apache Arrow for memory-efficient analytics, and can scale analytic workloads across multiple nodes for parallel execution. The engine supports both SQL and DataFrame queries through a modular, streaming architecture that allows custom operators, data sources, functions, and optimizer rules. The engine distinguishes itself through its modular extension framework, which enables building custom query e
Supports INSERT and COPY commands for modifying data in tables.
Delta is a lakehouse table format that brings ACID transactions and data warehouse consistency to large scale data lakes on cloud object storage. It serves as an ACID transaction manager, coordinating atomic commits and serializable isolation for concurrent reads and writes across distributed compute engines. The project provides a multi-engine interoperability layer that uses format translation to allow diverse SQL engines and processing frameworks to read and write the same tables. It functions as a data versioning system, utilizing a transaction log to enable time travel, historical snapsh
Provides capabilities for adding new records to tables via atomic commits.
This project is a Go client library and API wrapper for interacting with Elasticsearch clusters. It serves as a programmatic interface for managing documents, indices, and cluster health, allowing Go applications to perform search and indexing operations via the REST API. The library functions as a distributed search orchestrator, providing specialized tools for high-throughput data ingestion and cluster administration. It features a buffered bulk processor with exponential backoff retries for optimizing write performance and supports automated index lifecycle transitions and historical data
Optimizes write performance through buffered bulk operations for high-throughput data ingestion.
Eve is a REST API framework that maps database collections to web resources through declarative configuration files. It functions as a database-to-API mapper, automatically exposing data as RESTful endpoints with built-in support for CRUD operations and schema-based request validation. The project distinguishes itself through a HATEOAS API engine that generates hypermedia links and resource schemas for dynamic client discovery. It also includes an automated Swagger documentation generator that produces interactive specifications for client SDK generation and testing. The framework provides a
Supports inserting multiple records in a single request to optimize performance and reduce overhead.
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Ships built-in connectors for bulk ingestion of processed data into search indices.
pgloader is a command-line tool that automates the migration of data and schema from various source databases and file formats into PostgreSQL. It combines schema discovery, parallel data pipelines, and type casting into a single, declarative workflow, using PostgreSQL's COPY protocol for high-throughput bulk loading. The tool distinguishes itself by compiling a dedicated command language into concurrent reader-writer pipelines that handle schema introspection, data transformation, and error-resilient batch processing. It supports migrating entire databases from MySQL, MS SQL, SQLite, and Pos
Drops indexes and disables triggers before copying data to speed up bulk inserts.
GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
Accepts NDJSON data through the Elasticsearch _bulk HTTP endpoint, mapping each index to a table.
SqlSugar is an object-relational mapping library for .NET that translates C# and VB objects into database queries and tables without requiring raw SQL. It is designed as a multi-database ORM supporting SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, ClickHouse, and other databases through a unified API, and it is compatible with .NET AOT compilation for native ahead-of-time deployment. The library distinguishes itself through high-speed bulk data operations that can insert or update millions of records in seconds using batch processing instead of row-by-row handling. It also provides multi-te
Performs high-speed bulk inserts and updates for millions of records using batch operations.
pg is a PostgreSQL object-relational mapper (ORM) for Go that maps Go structs to database tables and provides a fluent query builder for constructing SQL statements programmatically. At its core, it automatically generates CREATE TABLE statements from Go struct definitions using struct tags and naming conventions, and builds queries through method chaining with placeholder-based parameter binding to prevent SQL injection. The library distinguishes itself through relation-aware join generation that automatically constructs JOIN clauses for has-one, has-many, many-to-many, and polymorphic assoc
Performs batch inserts, updates, and deletes on multiple rows in a single database round trip.
ServiceStack ist ein hochperformantes .NET-Webframework für den Bau typsicherer APIs unter Verwendung stark typisierter Request- und Response-Objekte. Es fungiert als nachrichtenbasierte API-Engine, die Geschäftslogik von der Transportschicht entkoppelt, wodurch Services über mehrere Protokolle wie HTTP, gRPC und verschiedene Message-Queue-Provider bereitgestellt werden können. Das Framework zeichnet sich durch seinen typsicheren API-Generator aus, der native Client-SDKs und Data Transfer Objects (DTOs) aus Service-Metadaten über mehrere Sprachen hinweg produziert. Es enthält zudem ein verteiltes Service-Gateway für Microservices-Orchestration, ein Code-First-ORM zur direkten Übersetzung von C#-Objekten in Datenbankdatensätze sowie ein zentralisiertes Identitäts- und Zugriffsmanagementsystem für sicheren tokenbasierten Zugriff. Die breitere Funktionspalette deckt asynchrones Messaging und Echtzeit-Event-Streaming durch Pub-Sub und Server-Sent Events ab. Es bietet umfassende Unterstützung für Datenserialisierung in Formaten wie JSON, XML, ProtoBuf und MessagePack, neben integrierten Authentifizierungs-Flows wie JWT, API-Keys und Step-up-Authentifizierung. Zusätzliches Tooling umfasst automatisierte CRUD-API-Generierung, Hintergrund-Job-Ausführung und Vorlagen für administrative Dashboards.
Writes large volumes of data to relational databases using high-performance bulk ORM implementations.
ActiveAndroid ist ein Persistenz-Framework zur Verwaltung lokaler SQLite-Datenbanken unter Android. Es bietet ein Active-Record-Object-Relational-Mapping-System, das Datenbanktabellen an Klassen bindet und so die Datenpersistenz und den Abruf ohne manuelles Schreiben von SQL ermöglicht. Das Projekt zeichnet sich durch ein dediziertes Schema-Migrationstool aus, das Datenbankstrukturen mithilfe versionierter Skripte aktualisiert, die aus den Anwendungs-Assets geladen werden. Es enthält zudem ein Framework für den Austausch von Datenbankinhalten zwischen verschiedenen Android-Anwendungen über eine standardisierte URI-basierte Content-Provider-Schnittstelle. Die Bibliothek deckt breite Funktionsbereiche ab, darunter Object-Relational-Mapping zur Verwaltung von Tabellenbeziehungen und benutzerdefinierten Datentypen, Bulk-Transaktionsverarbeitung für die Datenaufnahme sowie automatisierte Datenbankinitialisierung aus vorbefüllten Asset-Dateien. Sie bietet zudem Dienstprogramme für programmatische Abfragen und Spaltenindizierung zur Verwaltung von Datensuche und -abruf.
Provides high-speed bulk insert and update operations for records using batch processing.
Infinity ist eine verteilte Vektordatenbank und ein multimodaler Vektorspeicher, der darauf ausgelegt ist, großskalige Datensätze für Retrieval und Ähnlichkeitssuche zu verwalten. Er dient als Backend für Large-Language-Model-Anwendungen und Retrieval-Augmented-Generation-Pipelines, indem er dichte Vektoren, dünnbesetzte Vektoren und Volltextdaten speichert und abruft. Das System fungiert als hybride Suchmaschine, die Vektor-Embeddings und Volltextsuche mit Reranking-Algorithmen kombiniert, um die relevantesten Dokumente zu identifizieren. Es unterstützt die Speicherung multimodaler Daten und ermöglicht die Pflege verschiedener Datentypen, einschließlich Tensoren, Strings und numerischer Werte, innerhalb einer einzigen Umgebung. Die Datenbank bietet Funktionen zur Verwaltung von Datenbankschemata und Datensätzen, einschließlich Datenimport, -export und strukturierter Abfragen. Sie enthält Tools für das Index-Management und die Speicheroptimierung und bietet Zustandswiederherstellung durch System- oder Tabellen-Snapshots. Die Datenbank kann als einzelne Binärdatei oder über Docker bereitgestellt werden und ist über eine HTTP-API und ein Python-SDK zugänglich.
Implements comprehensive data manipulation operations including inserting, updating, deleting, importing, and exporting rows.
FreeSql is a .NET object-relational mapper and data access layer that translates object-oriented code into SQL for multiple relational database providers. It functions as a fluent SQL query builder and database schema synchronizer, allowing developers to align database table and index structures with entity class definitions. The framework is specifically optimized for .NET Native AOT to ensure reduced memory footprints and faster startup times. It includes a database traffic manager to distribute load through read-write splitting, dynamic table sharding, and tenant-based data isolation. Bro
Performs high-speed bulk inserts, updates, and deletes for millions of records using ORM-level batch operations.
The MongoDB Python Driver is a client library and NoSQL database client used to execute CRUD operations and manage data within MongoDB databases using the Python programming language. It serves as a database connectivity library that handles authentication and connection pooling, while also providing a vector search client for managing embedding indexes and retrieving data based on semantic similarity. The driver supports both synchronous and asynchronous database driver models to perform non-blocking I/O operations and stream data from database clusters. It distinguishes itself through speci
Executes high-speed bulk insert, update, and delete operations in a single request to optimize network traffic.
EFCore.BulkExtensions ist eine Bibliothek zur Ausführung hochperformanter Batch-Insert-, Update- und Delete-Operationen innerhalb des Entity-Framework-Core-Ökosystems. Sie fungiert als Toolkit für die Batch-Verarbeitung von Datenbanken und als Wrapper für natives SQL Bulk Copy, um eine schnellere Datenaufnahme und Synchronisierung über mehrere Datenbankanbieter hinweg zu ermöglichen. Die Bibliothek bietet spezialisierte Funktionen für die Synchronisierung relationaler Daten, die es Benutzern ermöglichen, Datenbanktabellen mit lokalen Entitätslisten durch Bulk-Upserts und bedingte Synchronisierung abzugleichen. Sie unterstützt zudem das Einfügen relationaler Datengraphen, was das Hinzufügen großer Mengen von Eltern- und Kinddatensätzen über mehrere Tabellen hinweg unter Wahrung von Fremdschlüsselbeziehungen ermöglicht. Das Tool deckt ein breites Spektrum an Bulk-Datenoperationen ab, einschließlich allgemeiner CRUD-Verarbeitung, Tabellen-Truncation und direktem Kopieren von Daten von Tabelle zu Tabelle. Es enthält zudem Dienstprogramme für serverseitige Batch-Updates und hochperformante Datenbankmigrationen, um große Datenmengen zu verschieben, ohne Entitäten in den Anwendungsspeicher zu laden.
Executes bulk operations across related parent-child tables to maintain strict referential integrity.